was-ls l, ' LIBRARY 1 :1qu Michigan State University _, This is to certify that the thesis entitled ROAD DEVELOPMENT, MARKET ACCESS, AND NATURAL RESOURCE USE ON NICARAGUA’S ATLANTIC COAST presented by KRISTEN M. SCHMITT has been accepted towards fulfillment of the requirements for the Master of degree in Fisheries and Wildlife Science M? be Major Professor’sTSignature 5/ l l/ 2 000; Date MSU is an Affirmative Action/Equal Opportunity Employer n.o.-.—-—.-.u..—.-.—--‘AL---.-.-.---—-.-.-.-u-.-._.. - PLACE IN RETURN BOX to remove this checkout from your record. To AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE p..- I—v‘ "...~‘t ’ I” .4 I\) 4:) it: 5/08 K:/Prolecc&Pres/ClRC/DateDue.lndd ROAD DEVELOPMENT, INCREASING MARKET ACCESS, AND NATURAL RESOURCE USE ON NICARAGUA’S ATLANTIC COAST By Kristen M. Schmitt A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Fisheries and Wildlife 2009 ABSTRACT ROAD DEVELOPMENT, INCREASING MARKET ACCESS, AND NATURAL RESOURCE USE ON NICARAGUA’S ATLANTIC COAST By Kristen M. Schmitt Road development is often blamed for negative environmental outcomes; however the indirect pathways connecting road building with environmental change are complex and poorly understood. I examine how one possible indirect pathway, increasing market access, can affect household environmental resource use on the Atlantic coast of Nicaragua. A continuum of communities varying in degree of market access is examined both before and after road completion. Specifically, I look at shifting market flow and price changes for natural resource goods and corresponding fishing and farming decisions in response to new roads. I also examine employment trends as a factor that could potentially mitigate environmental change. Fisheries markets in the area were more responsive to market access improvements than agricultural markets. With increased access, fishers increasingly sold to non-local buyers, overall export of fisheries products increased, and markets for new products emerged. Prices of fisheries goods increased with proximity to markets and the availability of non-local sales outlets. Observed changes in employment included household diversification into sales, wage work and remittances, and Shifts away from farming and fishing. Household changes in fishing and farming investments were not observed within the one year time flame of the study, and therefore the environmental implications of increased market access are still uncertain. Further long-term study planned in the area and additional biological monitoring will help to determine the full environmental consequences of market access. ACKNOWLEDGMENTS I would like to thank each of the many people who assisted me in completing my work. My advisor, Dan Kramer and my committee members Jerry Urquhart and Geoff Habron have been wonderful to work with, and I am especially grateful for my inclusion in multiple aspects of the research process, from grant-writing to journal submission. Thank you also to Jenni Van Ravensway for her patient help with map development. Many thanks to the people of Pearl Lagoon, Haulover, Raitipura, Awas, Orinoco, Karawala, and Bar del Rio Grande for taking the time to answer survey questions, provide insight on life in coastal Nicaragua, and assist me with my study. I am very grateful to the employees of the Pearl Lagoon Alcaldia, especially Xenia Gordon who frequently shared her data and time with me. I would also like to thank the members of the communal board for allowing this research and Sharing their knowledge. Keyla Hebbert Kelly, Elin Morales Patterson, and Claudia Taleno were all wonderful colleagues and assisted me in conducting household surveys, handling logistics, and developing and discussing ideas. I would also like to thank Ms. Ingrid and Mr. Kern for their constant assistance, good food, and a ‘home away from home’ during my time in Pearl Lagoon. My funding sources, the Tinker Foundation, the Surfn'der Foundation, and the Gilbert W. Mouser Memorial Scholarship made it possible for me to complete my research. I would also be remiss if I did not acknowledge the support of friends and family in completing this degree, and I would especially like to thank Evan for his unwavering interest in my work and his assistance with everything from data analysis to draft review. iii TABLE OF CONTENTS LIST OF TABLES .................................................................................. vi LIST OF FIGURES ................................................................................ vii CHAPTER 1 ROAD DEVELOPMENT AND MARKET ACCESS ON NICARAGUA’S ATLANTIC COAST: IMPICATIONS FOR HOUSEHOLD FISHING AND FARMING PRACTICES ........................................................................................... 1 Summary ...................................................................................... 1 Introduction ................................................................................... 2 Study area ............................................................................ 5 Methods ....................................................................................... 8 Community selection and sampling .............................................. 8 Analysis ............................................................................... 11 Results — Fisheries products ............................................................... 13 Market flow ........................................................................ 13 Price ................................................................................. 14 Household behavior ............................................................... 16 Results — Agricultural products .......................................................... 17 Market flow ......................................................................... 17 Price and household behavior .................................................... 18 Discussion ................................................................................... 20 Market flow and price ............................................................ 20 Household behavior ............................................................... 23 Environmental implications ...................................................... 25 Conclusion ................................................................................... 27 References ................................................................................... 44 CHAPTER 2 ROAD ACCESS, EMPLOYMENT DIVERSIFICATION, AND ENVIRONMENTAL CHANGE ON NICARAGUA’S ATLANTIC COAST ....................................... 49 Summary ..................................................................................... 49 Introduction ................................................................................. 50 Employment and the environment ............................................. 50 Study area .......................................................................... 52 Methods ..................................................................................... 54 Community selection and sampling ............................................. 54 Analysis ............................................................................ 56 Results ....................................................................................... 58 Environmental indicators ......................................................... 59 Discussion ................................................................................... 60 Resource use implications ........................................................ 62 References ................................................................................... 72 iv APPENDICES Appendix A ................................................................................. 75 Appendix B ................................................................................. 84 Appendix C ................................................................................. 87 Appendix D ................................................................................. 88 LIST OF TABLES Table 1.1 List of study communities ............................................................. 30 Table 1.2 Principle market outlets for fisheries products ..................................... 31 Table 1.3 Emerging markets for fisheries products ............................................ 32 Table 1.4 General linear model results — variation in shrimp prices ........................ 33 Table 1.5 Change in time spent fishing ......................................................... 34 Table 1.6 Market outlets for agricultural products ............................................. 35 Table 2.1 List of study communities ............................................................ 66 Table 2.2 General linear model results — in-household job diversity ....................... 67 vi LIST OF FIGURES Figure 1.1 Map of study communities ........................................................... 36 Figure 1.2 Principle market outlets for white Shrimp ........................................ 37 Figure 1.3 Monthly exports of white shrimp from Pearl Lagoon ............................ 38 Figure 1.4 Distance to market and white shrimp prices ......................................... 39 Figure 1.5 Distance to market and first-class fish prices ........................................ 40 Figures 1.6a and 1.6b Distribution of prices received for white Shrimp ..................... 41 Figures 1.7 Importance of shrimp and lobster fisheries to household income ............ 42 Figure 1.8 Relative change in exports of agricultural goods 2007-2008 .................... 43 Figure 2.1 Map of study communities .......................................................... 68 Figure 2.2 Job diversity vs. household wealth ................................................. 69 Figure 2.3 Relative change in the importance of income sources 2007-2008 ............. 70 Figure 2.4 Distance to market and average rank of job importance ........................ 71 vii CHAPTER 1 ROAD DEVELOPMENT AND MARKET ACCESS ON NICARAGUA’S ATLANTIC COAST: IMPICATIONS FOR HOUSEHOLD FISHING AND FARMING PRACTICES Summary The portrayal of road development as a classic environment versus development debate may be due to the fact that the indirect pathways connecting road building with environmental change are poorly understood. We examine how one of these pathways, increasing market access, can affect household behavior and environmental resources on the Atlantic coast of Nicaragua. Specifically, we look at shifting market flow and price changes for natural resource goods and corresponding fishing and farming decisions as a result of recent road development. We examine a continuum of communities of varying degrees of market access both before and after road completion. Fisheries markets in the area were more responsive to market access improvements than agricultural markets. With increased access, fishers increasingly sold to non-local buyers, overall export of fisheries products increased, and markets for new products emerged. Prices of fisheries goods increased with proximity to markets and the availability of non-local export sales outlets, though temporal price increases were not observed. Household behavioral changes as measured by fishing and farming investments were not observed within the one year time frame of the study, and therefore the environmental implications of increased market access are still uncertain. Further long-term study and additional biological monitoring are needed to determine the full environmental consequences of market access. Introduction In remote communities, individual households are often the principle agents of environmental change (Angelsen & Kaimowitz 1999, Gbetnekom 2005). Household actions such as expanding or reducing agricultural lands, changing herd grazing patterns, and increasing or decreasing fishing effort can all directly influence the conservation and persistence of natural resources. As many remote communities become increasingly connected to urban centers through transportation infrastructure (Uchida & Nelson 2009), it is important to understand how this connection will affect household behaviors, and subsequently the natural resource base on which many rural communities depend. Road construction is often considered a chief development objective amongst lesser developed countries as a means of reducing poverty and providing essential services (Gibson & Rozelle 2003, Leinbach, 2007). However, road building’s effect on household actions, the environment, and especially the pathways through which these effects occur are complex. Studies examining the impact of roads on natural resources do not always distinguish between the direct environmental effects (e.g., damage to wildlife movement) and the indirect environmental effects (e. g. influences on household farming behavior), even though the indirect effects are often more severe (Angelsen & Kaimowitz 1999, Lambin et al. 2003). The pathways through which roads affect household decisions are varied and can include providing access to markets, encouraging human migration and promoting an influx of new technologies to previously unconnected regions (Xu et a1. 2006, Kramer et a1. 2009). A better understanding of these pathways could provide a framework for addressing what is often perceived as a classic environment versus development debate surrounding road construction. In studying the market access pathway and its effect on household behavior there are several uncertainties. Often, infrastructure development reduces transportation costs and times to remote communities and provides greater access to external markets (Nelson & Hellerstein 1997, Edmonds 2002). However road development does not universally lead to increased export capabilities for rural residents. Access to rural areas may increase imports of some goods in lieu of or in addition to exports, each scenario leading to different household decisions (Shriar 2006, Leinbach 2007). Access to new markets often changes prices for natural resource goods; however the direction and magnitude of change is often variable and dependent on the specific commodity. Price changes can provide strong behavioral incentives for rural resource users, and ecological, economic and social context can influence how households react to these changes. Depending on how new infrastructure affects market access, households will respond in ways that may be environmentally harmful or beneficial. For example, increased proximity to markets has been associated with increased fishing pressure in Papua New Guinea and subsequent catches of smaller fish and lower trophic level species (Cinner & McClanahan 2006). In West Africa, new roads have increased imports of wheat to rural communities, which decreases incentives for farmers to grow alternative subsistence crops such as millet, ultimately leading to expanded cotton cultivation (Wagner 1986). Decreased transport costs for rural villages in Indonesia have led to the growth of rubber cultivation (Miyamoto 2006). There may also be tradeoffs between different types of natural resources when isolated areas become connected to markets. In studies of Miskito communities in Honduras, Dodds (1998) notes that increasing access to markets has increased lobster exploitation while decreasing agricultural land clearance due to a substitution of livelihoods. Improved transport can also open local markets for previously unexploited species often with little warning to managers and severe consequences for these Species (Berkes et a1. 2006). Increased market access can induce price changes for natural resource products. Depending on the specific commodity, prices will respond differently to access; for example, prices for products that spoil easily may increase at a higher rate with access (Baltenweck and Staal 2007). Increased prices for agricultural goods and/or lower prices for agricultural inputs often lead to forest clearing and agricultural expansion amongst farming households (Jacoby 2000, Gbetnekom 2005). Similarly, price increases for marine products can shifi fishers’ attentions to more profitable species (Salas 2004). These shifts may have ecological consequences depending on the characteristics of export markets, local ecological conditions, regulations, and myriad other factors. Alternatively, prices may not change with improved transport pathways, resulting in no change in land-use patterns (Shriar 2006). A better understanding of the complex relationships between market access, price changes, and environmental effects could provide insights which could mitigate negative environmental outcomes where road development is considered a priority. This study focuses on the household behavioral effects of increased market access in communities on the Nicaraguan Atlantic coast and the corresponding implications for lagoon fisheries and rainforests. We address the following questions: 1) Has market access increased on the Atlantic coast of Nicaragua? 2) How, are imports, exports and pricing of natural resource goods from coastal communities changing due to new infrastructure connection? 3) How are increasing market access and price changes affecting household behavior in regards to fishing and farming practices? Though we explore the effects of market access on household behavior as a proxy for environmental change, we do not describe associated environmental outcomes. Most studies that explore the relationship between market access and fishing and farming practices focus on single communities rather than a suite of communities that differ in their degree of market access. Similar studies have also selected areas where roads have been thought to already have had an effect, ignoring considerations of the counter factual which in turn undermine claims of causality. We attempt to address these issues by examining several communities with varying degrees of isolation both before and after increased market access. Doing so may also help elucidate the complex pathways by which road building affects household behavior. In addition, since context is important in understanding the effects of market access, we will introduce the area as an important place in which to continue long term research on decreasing remoteness and environmental change. Study Area The Atlantic coast of Nicaragua has historically been notorious for its geographical and cultural isolation from the rest of Central America. Recent road development in these previously remote areas provides a unique opportunity to understand the extent and environmental consequences of market integration. The environmental importance of the region, the historic isolation of Atlantic coastal communities and their reliance on natural resources make this region particularly well suited to examining these associations. The area known as the Atlantic Coast of Nicaragua actually encompasses about 50% of the land area of Nicaragua, spanning from the central mountain regions east to the Caribbean Sea (Sollis 1989). The Atlantic coastal region is lower in elevation and tends to be warmer and wetter than the western half of the country; it is also one of Central America’s richest areas in natural resources and includes varied terrestrial ecosystems (mangrove forests, pine savannahs, and tropical lowland rainforest), and marine ecosystems (lagoons/estuaries, reefs, turtlegrass flats) all of which contribute to high regional biodiversity (Weaver et al. 2003). These ecosystems are commercially as well as ecologically important, with marine environments housing fish, Shrimp and spiny lobster (Panulirus argus). The Pearl Keys, a series of small islands several kilometers out to sea from the Pearl Lagoon estuary host nesting populations of hawksbill turtles (Eretmochelys imbricata). Due in part to the historical isolation of the towns located along this coast, many of these natural resources remain relatively intact (Jameson et al.2000) although anecdotal information abounds about declining fish and wild animal populations. In addition to geographical barriers, the eastern and western parts of Nicaragua are culturally distinct with most indigenous and English-speaking Creole communities located on the Atlantic coast, and the majority Spanish speaking ‘Mestizo’ populations controlling Nicaragua’s central government in the West (Sollis 1989). There are six principle ethnic groups that populate the Atlantic including the Miskitu, Sumu, Rama, Garifuna, Creole and Mestizo. Since 1987, an Autonomy Statute has allowed for increased political participation of Indigenous and Creole people and has divided the Atlantic coast into two semi-autonomous regions, the RegiOn Auténoma Atlantica del Norte or RAAN, and the Regién Auténoma Atlantica del Sur or RAAS. This has also led to some substantial re-organization of the govemance structure in these areas. This study focuses on a subset of communities within the Pearl Lagoon and the Desembocadura de la Cruz de RioGrande counties (both located within the RAAS), which vary according to their distances from a newly completed road running from the riverport city of e1 Rama to the town of Pearl Lagoon (Figure 1.1). Construction of the trans—isthmian highway connecting Pearl Lagoon to Managua began in 2005. Funded by Nicaragua’s Institute for Rural Development (IDR) with Japanese aid, the road was completed in the fall of 2007, although the majority of the road became passable during the previous dry season (J anuary-April, 2007). Future road development projects and construction of a deep water port are planned in the region. During the past two decades, most commercial activity in the RAAS has been centered around the regional capital of Bluefields, which is connected by river networks to the town of el Rama and then by roads to the Western half of the country. Residents of the coastal communities make a living mainly from fishing, farming, wage labor and small-scale commercial activity, often participating in several of these activities. Most artisanal fishers on the coast are multi-species fishers and change fishing practices depending on the time of year, abundance of the target organism and access to gear, among other factors. For example, a fisher may spend some months working on a friend’s motorized lobster boat near the Pearl Keys, and some targeting gill fish within the lagoon (for a more complete description of coastal fisheries, see Appendix B). Many fisheries products, such as fish and white shrimp (Litopenaeus schmitti), have historically traveled through middlemen to processing plants located in Bluefields and Managua, or have been sold for local consumption within the communities. The exception to this transport pathway is lobster, which are sold to lobster companies based in the east via lobster- buying middlemen on the Pearl Keys. Agriculture in the Pearl Lagoon basin is practiced both for subsistence and small-scale commercial purposes with most produce sold in Pearl Lagoon town (IREMADES 2007). Most farms are set up as multi-Species agroforestry systems, with a variety of root crops (cassava, dachin), basic grains (corn) and tree crops (coconut, plantain, oranges) grown on the same farm. Road connection between the city of el Rama and the town of Pearl Lagoon could dramatically increase market access for fisheries and agricultural products, especially where products have been previously shipped through Bluefields and along the lengthy river-bus routes to Managua. In turn, improved market access and associated household, decisions may have profound implications for coastal residents and their natural resource base. Methods Community selection and sampling This study considers both spatial and temporal changes in household behavior and resource use along the Atlantic coast of Nicaragua. Six communities (Table 1.1) were selected for the study, which fall along a continuum of proximity to markets; Pearl Lagoon, Haulover and Raitipura/Awas were newly connected by road to Managua during the time period of the study. The northern communities of Orinoco and Karawala/Bar del Rio Grande are located approximately 40 minutes (24km) and 2.5 hours (85 km) respectively by high speed boat from the new road. These times are lengthened considerably when Slower and larger boats, typically used for transportation and shipping, are employed (Figure 1.1). To look at temporal variation, data were collected during two field seasons; the first occurred between June and August of 2007, before the road into Pearl Lagoon had been firlly completed, but after it was functionally passable during dry weather'. The second collection period occurred between May and August of 2008, after the road had been established in Pearl Lagoon for 8 months. The communities of Orinoco and Bar del Rio Grande were visited only in 2008. Communities were not randomly chosen; criteria used to select the different communities included Similarities in size and in the economic activities employed as well as varying distance to Managua. Household surveys were used to assess involvement in fishing and farming activities within and between communities (Appendix A). Households were asked questions regarding prices received and sales outlets for products. Respondents were asked to rank fisheries and agricultural products from most to least important contributors to household income. We also collected data on environmentally relevant activities within a household, including the amount and intensity of land cultivation and fishing gear ownership. This data was used as a proxy for measures of environmental change. For example, a Shift in gear ownership could indicate an increase in fishing effort for some species which could result in increased yield relative to species abundance. In order to capture variation between years as opposed to variation amongst households ' The road was already completed as far as Haulover during the first data collection period. within a community, the same houses were interviewed in 2007 and 2008. Surveys were developed and pre—tested during the 2007 field season. In total, 165 households were surveyed in 2007 and 223 in 2008. Depending on the community, either random sampling or systematic sampling was employed. For those communities with an available list of adult residents (Pearl Lagoon and Raitipura/Awas), names were randomly selected via a random number generator (Excel) and the corresponding household was then visited. This list of residents was obtained from a 2006 community socioeconomic study (IREMADES 2007). Selected respondents were not interviewed if they were no longer living in Pearl Lagoon, if they were living in the same household as another survey respondent, or if after repeated attempts, the person was not found. For communities with no existing list of residents (Haulover, Orinoco, Karawala, Bar del Rio Grande) a systematic sampling scheme was used, where surveys were conducted with every nth house (2“, 3“) determined by dividing the number of households in a community by the desired number of surveys (Cinner 2005 following deVaus 1991). The number of surveys per community ranged from 12 to 61, depending largely on the population of the community; a minimum of 10% of households were surveyed in each community. Surveys were conducted both by the author and 2 trained research assistants from the coastal communities. Surveys were completed with any selected adult member with knowledge of the economic activities of that household in order to capture perspectives from adults of different ages and sexes. More than one person was permitted to answer survey questions when the interviewee had limited knowledge, and another member of the household could provide more detailed answers on fishing and farming-specific 10 questions. In order to capture adequate data for describing change in fisheries and agricultural markets, those employed in fishing and farming were oversampled in Pearl Lagoon.2 Oversampled individuals are included in analyses except when indicated otherwise. In addition, surveys were conducted with business owners who worked as middlemen in the buying and selling of fisheries products (known locally as acopiadores). Data on fisheries sales were collected from the municipal government office to assess changes in the volume of products traveling via different market pathways (Alcaldia Municipal, Laguna de Perlas; X.Gordon 2007, 2008). Receipts on acopio (seafood collection facilities) sales and road transport for fisheries products are generally collected monthly by the local fisheries inspector and compiled into monthly reports. Analysis Our analyses focused on changes in market flow, price and household behavior (ie. gear investment and agricultural practices) among and between communities with different degrees of market access in 2007 and 2008.3‘ Analyses were all performed in R (R 2008). Specifically, we incorporate four analyses. First, we considered changes in principle sales outlets for fisheries goods between 2007 and 2008 using Pearson’s chi- 2 This was possible due to the 2006 socioeconomic study, which contained general occupational data for this town. We randomly selected 20 fishers and 10 farmers, oversampling these groups by 7 fishers and 4 farmers as compared to a random selection of households. The 4 oversampled farmers were opportunistically chosen, as many of those listed as farmers in the 2006 socioeconomic study were no longer engaged in farming, making random sampling difficult. We also opportunistically selected 10 fishers to complete a shorter fishing Specific survey 3 Since more households were interviewed in 2008 compared with 2007 (223 compared to 165 respectively), I have removed these newly sampled households from certain analyses that aim to look at change in individual household behavior between years. 11 squared test.4 We predicted that fishers would shift their selling to Pacific (i.e. non-local) buyers due to increased buyer concentration, buyer availability and price differences. Second, we examined changes in the mean price and distribution of prices received by households for fisheries and agricultural goods between 2007 and 2008. Differences in mean prices between 2007 and 2008 were assessed using paired data (ie. same households in 07 and 08) with Wilcoxan Signed rank—sum tests. Variation in the price distribution of Shrimp for each year was examined using an F test for variance. Third, we examined the effect of a) household proximity to markets and b) specific market outlet on the price received for shrimp and fish using a general linear model. Since most fishers sell to more than one location, fishers preferred primary and secondary sales outlets were both included (Table 1.2). Although many factors could potentially to contribute to price differences, we focused on these descriptors in order to specifically explore market access and its relationship to price change. Regressions were performed for both 2007 and 2008. Distance to the road was considered a good proxy for market access since coastal transport occurs via one mechanism (boat). We predicted that prices received by fishers would be greater for communities with greater market access (Baltenweck and Staal 2007). In addition, we predicted that preferentially selling to certain market outlets, for example Pacific (west Nicaraguan) buyers, would increase prices received for products. The type of market outlet available was related to distance; in communities far from the road, Pacific buyers were not present. Therefore, distance was controlled for in the linear model while assessing the effects of individual market outlets. We performed this analysis for fish and shrimp Since strong markets for each exist in Managua. 4 One sales outlet category with a low number of respondents was eliminated since the low values violated chi-squared test assumptions. l2 Diagnostic plots from the shrimp price models showed no evidence of heteroscedasticity, and residuals were approximately normally distributed.5 Diagnostics for the fish price models were also acceptable after one point of undue influence (Cook’s distance > 0.5) was removed. The effect of distance to market on agricultural prices was also examined using a general linear model. Finally, variation in the amount of fishing gear along a distance-to-road gradient was investigated using general linear models. Differences in the type and amount of fishing gear owned by the same household in 2007 and 2008 were examined using paired t-tests. As most fishers are involved in more than one fishery, changes in gear ownership could indicate shifting focus from one fishery to another. Results - Fisheries products Market Flow Among the six communities listed above, 47% (n=78) of households interviewed in 2007 and 50% (n=112) in 2008 were engaged in fishing as an income earning activity. Although the same market outlets are used by fishers in both years of the study (Table 1.2), in 2008 more fishermen (60% in 2008 vs 32% in 2007) reported selling shrimp primarily to Pacific vendors, and fewer (12% in 2008 vs 30% in 2007 %) reported selling primarily to local businesses and individuals within their communities (Pearson’s chi squared test, X2=6.99, dfi3, p=0.07; Figure 1.2). Within the fisheries sector, the white shrimp (Litopenaeus schmitti) market showed the most substantial changes in market flow. 5 Although two points of undue influence existed in the 2007 model (Cooks distance >0.5) removing these points did not change the relative significance of predictor variables; therefore, these points are included in the analyses. 13 In addition to changes in the shrimp market, new or re—emerging markets for fisheries products are evident (Table 1.3). One example is the market for Blue crab (Callinectes sapidus). Although crab was exploited in the area prior to a processing plant closure in 2002, only two fishers in our road-accessible communities reported selling crab (as opposed to home consumption or barter) in 2007. Each respondent reported selling to local markets. In 2008, 18 fishers among the road accessible communities sold crab; 39% of these sold to vendors for road transport (Table 1.3). Looking at aggregate data from sales receipts collected in Pearl Lagoon, we can see a clear change in avenue by which Shrimp is leaving the community and in the volume of exported product (Figure 1.3).6 Although no data exists prior to 2007, the road was not passable before 2007 and therefore all shrimp sales via road clearly represent a shift in export flow. Sales for fish are still made primarily through the acopios, however sales receipts Show that fish sales along the road are beginning to increase as well. Price In 2007, our model explained 52% of the variation in Shrimp price and in 2008 it explained 60% of the variation (Table 1.4). The average price that fishers received for shrimp amongst all surveyed communities was 31.6 cérdobas i 11.09 c6rdobas in 2007 and 28 c6rdobas i 8.05 cérdobas in 2008 ($1 US = 19.1 cérdobas, July 2008). As distance from the road increases by one km, the average price that fishers receive for shrimp decreases by 0.12 :t 0.06 cérdobas/lb in 2007 and 0.18 :l: 0.03 cOrdobaS/lb in 2008 (Figure 1.4). A comparison of prices in 2007 and 2008 suggests that as market access 6 Acopio sales for Shrimp are collected from one principle acopio in the area (MarCaribe) as the others do not buy and sell shrimp. 14 increased over time, this relationship became stronger (Figure 1.4). Even when the same distance gradient was used in 2008 (eliminating the communities of Orinoco and Bar del Rio Grande), our model showed that shrimp price decreased by 0.22 :1: 0.06 cOrdobas/lb with each km from the road, a more extreme price difference compared to our model of all six communities. The negative distance-price relationship also holds for “first class” fish (i.e. high-quality species intended for sales rather than home consumption) however the relationship, although significant, is not as strong as that portrayed for Shrimp. Fish price decreased by 0.012 i 0.006 cOrdobas/lb per km from road in 2007 and 0.018 i 0.01 cOrdobaS/lb per km in 2008, and distance combined with primary market outlet explains a relatively small amount of variation in fish price (R2=0.23, Figure 1.5). Although distance was the most important predictor of average shrimp price, primary market outlet had a significant influence on price in both years (Table 1.4). Secondary market outlet also had an effect on Shrimp price in 2008. Two specific sales outlets contribute to the overall significance of primary market in our model. In both years, selling locally to individuals and hotels, when compared to the reference category of Pacific buyers, reduced the price received per pound of Shrimp (2007: B = -l6.2 i 3.7, t = -4.3, p = <0.001 and 2008: B= -5.75 i 3.15, t = -1.82, p = 0.07). As hypothesized, in 2008 fishers were receiving less per pound of shrimp from acopios than from Pacific buyers, ([3 = -4.31 :l: 1.98, t = -2.l7, p = 0.03). These trends are also reflected in our model describing fish prices in 2008. Primary market outlet had a significant effect on fish prices, with road exports producing higher prices both through local vendors ([3 = 4.01i1.18, t = 3.4, p = 0.001) and Pacific vendors ([3 = 1.65i0.76, t = 2.17, p = 0.03) when compared with local acopios. Looking at the individual price effects of specific 15 sales outlets in our model can help determine the influence of the road itself since many of the export markets in Pearl Lagoon are a direct consequence of the road (e. g buyers from the Pacific). Temporal price changes for individual households Show slightly different trends. Between 2007 and 2008, for the m sample of households (all communities), the average price received by fishers per pound of shrimp was unchanged (mean 2007=3 1.2 cordobaS/lb, mean 2008= 30.4 cordobas/lb; Wilcoxan signed rank sum test, V=108.5, p=0.38). However, the variance in the average price received clearly differs between years (variance test, F 26,26 = 3.15, p=0.005, Figures 1.6a and 1.6b). Household behavior Perceived importance of fisheries products could strongly influence fisher behavior and investment. Between 2007 and 2008, lobster became relatively less important whereas shrimp became relatively more important to household income for people fishing those respective products (Figure 1.7). In Haulover for 2008, the relative contribution of Shrimp to income (as ranked on a 1-5 scale by households themselves) even surpassed the contribution of lobster.7 The changes in market flow and pricing that have been described did not result in . significant changes in fisher investments in time or gear (which could signify a shift in effort from one fishery to another). Spatially, both individual community and distance from road were poor predictors of the amount of gear possessed by a household (see Appendix B for more description on fisheries and gear). The number of cast nets for 7 The sample Size of households in Haulover was increased between 2007 and 2008, although since households were randomly selected, this difference in sample Size should not influence relative rankings. 16 shrimping owned per household decreased with distance from road and was the only gear type that Showed a significant relationship with distance (B = -0.0ld:0.003, t = -2.94, p = 0.004), however distance only explained 10% of the variation in number of cast nets per household (F 13., p=0.004). Temporally, fishers reported owning significantly more boats and lobster traps in 2008 compared with 2007, showing a general increase in gear investment (boats: t = -l .75, df=82, p=0.08, traps: t = -2.27, df=87, p=0.025). When the 2007-2008 comparison is restricted to our road-accessible communities where we might expect higher fish and shrimp prices to Spark higher investments in gear, the amount of boats shows no change in significance (t = -0.37, df=30, p=0.71). Gill net ownership decreased between 2007 and 2008 (t = 2.27, df=87, p=0.03) reportedly due to increased theft. Between 2007 and 2008, no clear change in time allocated to fishing effort was seen (Table 1.5). The majority of respondents reported Spending the same amount of time fishing for various fisheries products, including products such as shrimp for which new markets have arisen.8 Results - Agricultural products Market Flow Among surveyed households, 34% (n=56) were engaged in farming in 2007 and 47% (n=104) in 2008, which includes farmers that were oversampled in Pearl Lagoon. The percent of households allocating produce to specific final destinations (i.e. household consumption, local markets, etc.) underwent minor changes between 2007 and 2008 (Table 1.6). Coconut was the only product that increased substantially in exports when 8 Time investment could not be statistically examined spatially (ie. between different communities) because of low numbers of responses in certain categories which violated assumptions for the chi squared test. 17 the same households are compared between years (Figure 1.8). Other products, such as rice, beans and corn appear to be exported less in 2008 versus 2007. In general there was an increase in the percentage of farmers selling produce locally in 2008. Price and household behavior Temporally, there was an increase in food prices between 2007 and 2008 for all agricultural products except for coconut, likely related to global increases in food price between these two years.9 Agricultural prices showed different patterns of spatial variation (positive, negative and no relationship with distance) depending on the crop. For example, coconut prices (again in cOrdobas) increased with distance from the road, (0.02 d: 0le distance + 3.3 i 0.2, R2 =0.52) cassava prices decreased (-0.01 :l: .004x distance + 3.0 :l: 0.2, R2 = 0.1) and beans showed no significant relationship (-0.01 i 0.02x distance + 10.9 :t 0.8, R2 =0.04). All of these products are common components of local diets. Though farming is not considered a lucrative profession in Atlantic coastal communities when compared to fishing, 16.4% (n=27) of households interviewed in 2007 and 17% (n=3 8) in 2008 considered farming their most important source of income. Survey respondents have been actively farming on their land for an average of 32 i 26.3 years (2008 data). Both communal and private farm land ownership are common on the Atlantic coast. In 2008, 48% of farming households (n=49) reported farming on communal land and 50% (n=52) reported ownership of private land, with no spatial pattern in private vs. communal ownership. Many of these farms were inherited from 9 One of the most pronounced price changes was in beans, which jumped from an average of 5.1 to 10.4 cordobas per pound. l8 parents or other family members; 58% of farming households (n=60) inherited their land and 41% of households (n=43) reported having to clear new land for their farm. Household farming decisions (behavior) can include allocation of land use, choice Of inputs and land clearance decisions. Among sampled farmers, clearing new land for farms as opposed to inheriting previously cleared land was more common in communities farther from the road. In Karawala, Orinoco and Bar del Rio Grande, 58 % of respondents reported having cleared new land for their farms, as opposed to 23 % in our road- accessible communities. As of 2008, the ratio of land cultivated to total land owned or used (a proxy for the intensity of land use) showed no relationship with distance from the new road (R2=0.02, F137 = 1.044, p=0.23). This ratio ranges from an average of 0.23 manzanas (100 yards x 100 yards) farmed/owned in Karawala to 0.75 manzanas in Bar del Rio Grande, representing high variation in nearby communities. Of the 104 farming households interviewed in 2008, 8.7% (n=9) reported using pesticides or chemical fertilizers, and 3.9% (n=4) reported using mechanized equipment (all Chainsaws), suggesting relatively low intensity farming. Sixty-seven % of households (n=70) reported engaging in crop rotation, where some land is left fallow for a number of years. The average length of fallow time practiced amongst the coastal communities was 2.85 years, although not all farmers reported a Specific fallow time. AS of 2008, just 9.6% of farmers reported cattle as one of their most important agricultural products, and most farmers had a low density of cattle given their farm size (between 0.36 and 0.83 cows/manzana of pasture land), which also implies the use of relatively low-impact farming that does not necessitate total land clearance. 19 Discussion Market flow and price Observing trends pre and post road development in Atlantic coastal Nicaragua may help to identify indirect or complex pathways by which roads impact the environment. We found that post-road, the flow of fisheries goods through primary market outlets in Pearl Lagoon appears to be changing significantly. Due to the high demand for seafood in Managua and other parts of Western Nicaragua, communities located near the new road have seen an increase in buyers transporting shrimp and fish directly to Managuan markets, contributing to changing fisher decisions about where to sell their product (Figure 1.2). The road is an increasingly utilized transport pathway for seafood export, and shrimp exported along the road from Pearl Lagoon in 2008 greatly exceeded those exported during 2007 (89,650 lbs vs. 35,490 lbs respectively) while sales via local acopios decreased only slightly. This implies that overall volume of shrimp being exported increased and volume previously sold through the acopios was not simply replaced by volume leaving by road (e. g., Figure 1.3).10 Furthermore, the total amount of shrimp exported from the community may be greater than reported as there is allegedly a fair amount of underreporting in the road transport permit system so as to avoid a 1% tax on catch value (X. Gordon, Alcaldia Municipal, Laguna de Perlas, pers. comm). Increasing market access could be changing incentives for fishing certain species; overall exports of some products including sea cucumber (e. g., Holothuria mexicana) and ray (e. g., Dasyatis guttata) increased in 2008 (Table 1.3). Long term monitoring may clarify whether this is actually related to the road’s influence. In addition, a market has re- “) Note: volume traveling through the acopios was likely higher in the late 1990’s and early 2000’s before the MarCaribe processing plant was shut down. 20 emerged for blue crab (Callinectes sapidus), which was rarely sold in 2007, but rather fished for home consumption. Plans are currently in progress for re-opening a local crab processing plant which ended operations in 2002. This re-opening is linked to the new ability to rapidly transport refiigerated product to Managua (D. Taylor, MarCaribe, pers. comm). The increase in seafood export opportunities amongst newly road-accessible communities was shown to be a likely influence on prices for these products. This is evident given the positive relationships between market proximity and prices received for shrimp and first class fish (Figures 4 and 5). For all of the study communities, distance to road is equivalent, relatively, to distance to Bluefields, the largest market in the RAAS located south of the study communities. It is possible, therefore, that this market as opposed to the road itself could be driving the price-distance relationship. However, as would be expected if the road were influencing prices, the price-distance relationship was more pronounced in 2008 than in 2007, a trend which should continue if the road’s influence increases. Given the Similarities between our study communities in Size and economic activities, market proximity is the most likely explanation for this relationship1 '. In addition to the effect of market proximity, Specific sales outlets also influenced shrimp prices. Sales to local markets were less profitable for fishers and consequently fishers’ preferences shifted away from local sales outlets, especially as a first choice (Figure 1.2). There was also a difference in price between specific types of export markets; fishers generally received less money for shrimp from acopios in 2008 than ” Communities do vary in their predominant ethnicities. However preliminary analyses as to whether ethnicity influenced prices received for products were non-significant. 21 from Pacific buyers, most likely due to higher transport costs for acopios. This price difference contributes to the overall price significance of primary sales outlet in our model, and demonstrates a price effect related directly to road transport. Similarly, fishers received more money for fish when selling to local or Pacific vendors for road transport when compared to the traditional option of selling to acopios. The permanency and consistency of these price trends for all fishers are unclear. In 2008, fishers in the Pearl Lagoon area reported both receiving higher and lower prices from Pacific vendors. Many suspected that Pacific buyers were offering higher prices in order to undercut local acopios and establish a local, loyal customer base. '2 However among all fishers there appeared to be other advantages of selling directly to Pacific buyers including increased availability of buyers at all hours, decreased risk of spoilage because buyers took over the responsibility of providing ice and coolers, and a greater consistency in price offered as evidenced by the decreased price variance between 2007 and 2008. All of these factors serve to decrease risks for individual fishers. '3 Price stabilization is one feature that you might expect to see in maturing markets. These factors could also help to explain the shift in preferred sales outlets towards Pacific vendors. Agricultural products showed different trends than those observed for seafood. As of 2008, there was no consistent evidence of shifting export markets for agricultural goods, and no clear relationship between product price and distance to market. The only ‘2 Or a financially obligated customer base. Often buyers will lend money or gear to fishers on the condition that they get the first opportunity to buy that fishers product. ‘3 For example, if a fisher is unsure if he will be able to sell his product for an acceptable price, he may decide to catch a smaller amount of shrimp. This avoids the burden of visiting many households in an attempt to sell everything, and the risk of a large amount of spoiled catch if no one is buying. With more willing buyers, this fisher can now catch a large amount and be assured of selling them at a profitable price. 22 crop showing an increase in exports from the coast was coconut due to the presence of one buyer from Managua. Other products like basic grains generally showed a decrease in the number of households selling to export markets. This could be due to higher food prices in 2008, which may provide incentives to use more crops for household or local consumption, rather than engaging in commercial food sales (F afchamps 1992). Also, heavy rains in the northern communities destroyed much of the rice crop in 2008. Finally, transport costs are perhaps still too high to make the export of agricultural goods profitable, and Atlatntic prices for produce are usually higher than prices offered from Pacific consumers (Appendix C). Difficulty in separating how much of a household’s agricultural produce is going for export versus local consumption may also be disguising some patterns of change. Household behavior Market access may affect household fishing practices which translate directly to environmental change. Changes in gear or time investments are not apparent among fishers on the Atlantic coast even though the relative ranking of Shrimp’s importance to income has increased among shrimping households (Figure 1.7). This ranking change could be influenced by many factors including new market outlets for shrimp, the relatively low gear investment needed for shrimp versus lobster (Appendix B), and a slow start to the 2008 lobster season. Investments of time or equipment often lag behind increased profits, especially amongst risk-averse individuals or households. A lack of access to credit required to purchase more gear may have the same effect. The need for gear is often cited as prohibiting households from increasing their fishing time. 23 Although changes in market structure and price were not seen in the agricultural sector, one might expect such changes in the future. Farming practices that have environmental impacts may be important to monitor amidst increasing market connection. Farmland clearing and cultivation represent basic household decisions. Contrary to expectations, land clearing is disproportionately high in more remote communities. This is most likely due to the higher availability of uncleared land in the northern remote areas and a higher proportion of previously disturbed land to the south, necessitating less new clearing. Frequently families in the area rotate cultivated areas each year to maintain soil fertility, meaning that a substantial proportion of farmland goes unused in any given year (Dodds 1998). However, we found no relationship between distance and the ratio of land farmed to owned, an indication land-use intensity. Although there are strong correlations in the literature between road building, forest clearance for agriculture and farming intensity, (Pfaff et a1. 2007) these relationships may be driven by a pathway other than market access, for example immigration to a previously remote area. Land in the tropics is often deforested for cattle. Beef, averaging about 23 cordobas/lb. in coastal communities in 2008 may be an agricultural product that would be profitable to export via road. Low numbers of cattle farmers and low cattle density observed in 2008 could provide a starting point for monitoring if and how traditional agroforestry-type systems on the coast change in the presence of market outlets, and whether the change comes from local communities or migrants. Finally, farming techniques on the coast currently involve few inputs and frequent use of a fallow system. 24 Decreasing input costs and increased imports of farming technologies given greater road access could change these current low-input farming practices. Environmental implications Fisher behavior can directly impact fisheries resources by increasing or decreasing yields of a species relative to that species’ abundance. Although exports of fisheries goods are increasing and transport pathways are changing, behavioral changes are still unclear and therefore environmental implications are unknown. In the future, enhanced market access will likely translate to changes in fisher practices including an increase in the exploitation of more lucrative Species. Overall abundance of most of these organisms is unknown for Pearl Lagoon. Although catch data for area fisheries are often available, few stock assessments or maximum sustainable yield estimates exist; it is therefore possible that some fisheries could sustain increases in exploitation. Studies elsewhere in the western Atlantic with similar combinations of industrial trawling and artisanal fishing Show no concrete evidence of biological overexploitation for white shrimp (L. schmitti) populations as of 2000 (FIRMS 2005). If true for Pearl Lagoon, increases in Shrimp export and shrimp buyers may improve local livelihoods while causing no danger to Shrimp populations or associated food webs in the lagoon. Some studies dispute this however, reporting obncem over increasing shrimp scarcity in Pearl Lagoon (Gonzales-Colindres 2006). The situation is similar for crab, which were more heavily exploited before 2002 when the local crab processing plant was functional. According to fishers, crabs have since recovered in size and abundance. 25 The observed shifting patterns in market flow could also benefit currently . overexploited species. There is an abundance of anecdotal information on declining fish populations in Pearl Lagoon, as noted by smaller catch sizes, and through increased effort, gear, and travel distance required for catching the same amount of product (A. Downs 2008 pers comm., Hostetler 2000). If the shrimp market becomes more profitable due to improved market access, some of the fishing effort in the area could shift towards shrimp and away from heavily exploited fish or lobster species. The increase in assigned income importance of Shrimp relative to lobster may exemplify the beginning of such a trend (Figure 1.7). On the other hand, access to Managuan markets may eventually make some fish species more profitable or create new markets which could in turn influence household fishing decisions and increase yields. Seasonality of the fisheries may also preclude replacing gill fishing activity with shrimp fishing. Before the road was completed, many people in the Pearl Lagoon area looked forward to the potential for exporting agricultural goods, viewing agriculture as a potentially viable alternative to fishing declining populations. However, transporting produce to Managua from the coast is still not cost effective; prices for several commonly grown agricultural goods are often higher on the Atlantic coast than in Managua, a much different price relationship than for fisheries goods (Appendix C). Instead of providing an export market for coastal residents, the road has provided an avenue for imported agricultural goods and meats from the Pacific, a trend seen elsewhere in the developing world (Shriar 2006, Leinbach 2007). This could change if more profitable crops, better technology including agricultural inputs, or more efficient transportation are introduced (Edmonds 2002). If market opportunities for certain types of agriculture emerge, 26 consequences include an increase in the relative ratio of land farmed, cattle volume and density, and shorter or nonexistent fallow cycles in more accessible communities. Environmental consequences could include increased deforestation, soil nutrient depletion, increased chemical inputs, less emphasis on agroforestry/tree-cropping, and increased soil erosion (Wagner 1986). Approximately half of all surveyed farming households report farming on communal land as opposed to private land. Since secure land tenure is often correlated with lower environmental damage in the presence of road disturbances (Maki et a1. 2001), proportional decreases in private ownership could potentially have negative environmental consequences, although in Nicaragua private ownership does not always correspond to perceived tenure security (Broegaard 2005). Conclusion The effects of roads on market access and price are often uncertain and therefore limit firll understanding of the influences of road development on household behavior and natural resource use. In eastern Nicaragua however, rapid market changes can stem from road building to previously remote communities. To date, fisheries markets in this area appeared to be much more responsive to market access improvements than agricultural markets. Avenues for selling fisheries products, especially white shrimp, are changing rapidly in the RAAS due to new transport avenues to western Nicaragua. Overall exports appear to be increasing, and markets for new fisheries products have emerged. Changes in market flow have been accompanied by a stabilization of price for shrimp and logistical advantages for fishermen, although not a Significant change in the average price received for shrimp. Prices of fisheries products are higher with proximity to markets and 27 the availability of non-local export sales outlets. Despite reported increases in the importance of shrimp to household income, corresponding investments in gear or time have not yet occurred within the first 1.5 years of road access. Shrimp export increases however suggest that fishers are able to sell more shrimp without these investments, perhaps due to less spoilage and less local consumption. Changes in fishing practices and exports may eventually change overall yields which could impact the resource. While changes in agricultural practices due to road building are abundant in the literature, new transport avenues appear to have caused little change amongst the local, low-input, rotating agricultural systems on the Atlantic coast within the time frame of this study. Despite connections to larger cities, low prices and cost prohibitive transportation inhibits exports from the coast in the short term and promotes imports of produce and certain meats to the Atlantic coast. The potential for migration to the area however is high and could cause land cover changes without corresponding changes to land farmed by coastal residents. Substantial biological monitoring is needed to determine the environmental consequences of market access and the sustainability of local fisheries and rainforests. Without an idea of overall abundance, managers are unable to tell if market changes and fisher behavior are actually impacting the resource. In the case of fisheries, it may be informative to track particular species of concern, such as the IUCN critically endangered species Epinephelus itjara (giant grouper), currently fished and sold on the Atlantic coast (IUCN 2008). Roadways also open potential avenues for the transport of prohibited fisheries goods, such as undersized shrimp and lobster. ‘4 Conversations with fisheries ‘4 This is in addition to increasing transport of small but legal product, such as the minimum allowable shrimp sizes (61-70 Shrimp per lb). 28 officials suggest that this is likely to become a problem in Pearl Lagoon without an increase in enforcement. In light of the fact that many rural communities, development organizations, and governments are now pushing for better connection and access to markets (BlOndal 2007), understanding how to avoid the development-environment conflict is important.15 With a full appreciation of how market connection influences household behavior on Nicaragua’s Atlantic coast, proper planning can accompany infrastructure projects to address environmental concerns before they become threats to local biodiversity and livelihoods. '5 Several factors have been identified that may mitigate negative environmental outcomes of market access. Some of these include the presence of traditional land and ocean management systems (Aswani 2002, Cinner 2005), secure land tenure (Alston 1996), economic or social institutions that control prices for natural resource goods (Kronen 2004), and the implementation of rights-based fisheries systems (Costello et al 2008). The effects of these mitigating factors are by no means universal, and all merit further study to explore their viability in varied contexts. 29 Table 1.1 Study communities, including their relative sizes and distance to the newly constructed road in June, 2008 (IREMADES 2007, Ministerio de Salud, RAAS 2006). For more information on individual communities, see (IREMADES 2007). Distance to Community Abbreviation Road (km) in 2008 # of Households Haulover H 0 214 Pearl Lagoon PL 0 496 Raitipura/Awas RA 1. .9 8 1 Orinoco O 24 126 Karawala K 84.7 23 1 Bar del Rio Grande B 88.9 36 30 $23055 Seam: u0 83838800 $0300.82: 003E358 L050 8 >386 820er commas: £23m EC 050 .couafismcoo :82 Lou EBA—8800 moo 0.2020050: 0.: E 0.3% can m0mm0£m2£m0afifl .002 9 28 a 82005 _ A 208: .0004 .8333 E .8 00E 880 m_ :23ng Bag 08:3 38:3 30m 0 000205 0038:8800 E0303 e050 8 «swung/H 8 0.03 a tommcmb 98 3:00am >3 8 3.858% c0330: he seemed >m 200:? £83 30¢ 8 0:80 on? 060208 Gfioemv 302-com 3 28 fl 8:on .3352 a cogaufiu “00:08 0385a A8253 £60m Lo.“ 2080628 00 ~00 Sons? 300: b80505 S 35:03: $2503 388% 050 £08 3 “00:30:05 >4 Sons? 3004 :05 mm 98 .0025? 2:52 3980 :32 8 28 mm “0355 .282 800 Ho «sway—£2 sat—£02m 5 303: 00:39:00 03:50 8 Son 3 835E tommceb moEoo< m0a00< on? 580626 .3 S: 0.8 000.: SESEEoo 130000 08 E . 3269a Sigma Com 3:30 “.898 0363a 05 .38 3 045305 gram—000G =e$§>0£a< 8st $5330.53 :05 .3 8 BENCH on EB 30:50 0005 .msafiw E25033 5 Emma aoowj :00; 05 E 805$ .3 @0552 mm .3268; m0t0nmm .8.“ 30:30 “00.38 0365.5 .N.~ 033. 31 :03 mm whom :00...“ :0 200 80080 830582 ... 8050c 53> £0300 80¢ 00x8 0.0m N 8080qu 00:23 .3 0082—00 $80008 80a 80x8 809 _ 85058: mm am 85058: 03 O 88.35. amuumzmab «080 0:5 Sim o .02 or o 2: as 303208 .000: 8000004 83 o 02 :3 o 08 38.55 0:538: :00 1.0080000 00m 3me S 2 0 o 0 883% 80.0.0Q :00 30m 23 Q R 9.3. 02 o 20.00 033.05% x00008w 805 1303.: 080230001— £0 000m o\° :33 2: 080230004 .X. Box Ax. «cam 53 .woom 000 boom macaw 38000 00t00802 05 80¢ 00800 800 08003 0:802“ 2000 @0085 008000808 00:00.8 30:0 5qu 08 8000808 m0w080080m .003<\088:0M 000 80580: 60093 100m 85; 300008 m0t0fim 00m 30x38 wcmw808m .m.— 035. 32 Table 1.4. General linear model results explaining variation in shrimp prices. Source DF SS MS F p value R2 2007 Distance from road 1 653.89 653.89 8.65 0.006 Primary (preferred) sales outlet 4 1447.84 361.96 4.79 0.004 Secondary sales outlet 5 742.44 148.49 1.96 0.11 Model 10,34 3.76 0.002 0.53 2008 Distance from road 1 1934.98 1934.98 63.93 <0.001 Primary (preferred) sales outlet 4 409.76 102.44 3.38 0.015 Secondary sales outlet 5 310.20 62.04 2.05 0.085 Model 10,58 8.77 <0.001 0.60 33 Table 1.5. Percentage of fishers who reported spending more, the same amount, or less time fishing specific products in 2008 compared to 2007. % Fishing more % Fishing same % Fishing less n Lobster 33 45 21.5 51 Shrimp 27.5 39 33 69 Fish 21 50 29 66 Crab 30 50 20 20 34 Tablel.6. Percentage of households that reported using/selling products for home consumption, local markets, and export markets for the communities of Pearl Lagoon, Haulover, Raitipura/Awas, and Karawala (2008). Households surveyed in 2008 only were not included. ‘6 Product % Home consumption % Local marketl % Export2 n 2007 Cassava 40 50 10 32 Root crops 30 55 15 20 Banana family 25 61 14 44 Coconut 42 45 13 31 Fruit 36 56 8 25 Beans 42 26 32 19 Rice 22 33 44 9 Corn 28 39 33 18 Beef/Milk 50 , 50 0 4 2008 Cassava 27.5 62.5 10 40 Root crops 19 81 0 16 Musaceae 21.5 68.5 5 51 Coconut 15 45 40 20 Fruit 12.5 75 12.5 16 Beans 50 30 20 30 Rice 27 45.5 27 22 Corn 33 51.5 15 33 BeefYMilk 50 50 0 10 ' Local market includes some undefinable home consumption 2 Export may also include local market sales and home consumption '6 Data have been paired to avoid different sample sizes, though the exact 11 may still be different due to households that started or stopped farmin g that product as one of their top 4. 35 $986580 beam Co Q32 A.“ 0.53% EC M355. p C «3052—5 hog—5mm 98M >62 venom 33:58:50 beam 233$ 02 .3. in O O In! 335...“! .\.v C. C /. \.-..tMJ. xi. 1..., i / C C l\\ C. ‘1. .\ _\. . . x _\ «it E o C v A. a: x _ .\\ I/r \.\.Aw C MI. C. C “\ C x . _\ C E y“ \‘\\ m\ 1; . C .. ..n\ ./ C C . A .1. i. x C C (a I: , C. - .. A. C . \ r, C C . L\ \n \ 1.1/ CC.‘\1/ C \K it (1..“ y «\1/ 1 11x\\i /. x /\\\i .\ / W C. .\ ... / C .u... ./.1C. xx C C2 ititlmlili l \\ F5— 00 o \C \x v\ \/ /- \ijx.l\/HV \ \ ”C. (4 .m\ r I \\ C. 36 0.7 - 0.6 4 , I 2007, 11:44 2008, [F42 Proportion of fishers . Market outlet Figure 1.2. Principle market outlets for white shrimp (L. schmitti) among survey respondents in the communities with new road access (Pearl lagoon, Haulover, Raitipura/Awas). More shrimp went to Pacific vendors in 2008 as opposed to staying in the community. 37 .Cwoom .hoom gov—ow .X ”mm—Com at 2st 486622 32813 C32 use banana 5053 mm .838 9:9? xwom .82on .5 mafia—BE: Co 822me .28.. 05 no woe—089E mama 95.3w =a 3:889: on: Com—cm 2: 28 mofioom 2: 3:82am: on: 33% 2F .38 do noon 52309 8093 :85 E 5:08 some 28 CCCCCECCB. 4 3825 953m .3 Wesson .m.— 0.53m £82 8m 8m 2:28 8 C e m C. m N C2228 m C e m_v_m N_C - o 0" I" s ‘1‘. .88 -88C 1 m .882 m. m .88 m. d -883 m 83m cacao: a u . oooom moamgomli -888 38 40 co c c : :1 35 Haulover, n 16 E Pearl Lagoon, n=18 o E 30 ‘ ~o 3 . . 3 Raltrpura/Awas '1: 25 7 n=12 2 ' Orinoco E 20 _ n=15 Bar Pomt .: n=5 m G) en g 15 d _ > n— < y 10 I I I I 0 20 40 60 80 Distance to market outlet (km) Figure 1.4. In 2008, the average price fishers received for white shrimp (L. schmitti) decreased in communities that are further from the road (solid line). Average price = —0.17 i 0.03 x distance + 32.32 i 1.83. The dotted line represents the relationship for 2007 (-0.12 i 0.06 x distance +37.98 i 2.96). 39 no 8 “1 15 Haulover, n=20 a 4R .. a arttpura/Awas, c E 14 n=12 3, ._ fear] Lagoon .8 - n=17 K h E. ~ _ ~ Orinoco arawa .= 13 - --------- :8 G) en ea in 3 12 < I I I T l Distance to market outlet (km) Figure 1.5. In 2008, the average price fishers received for their first-class (high quality) fish decreased for communities firrther fiom the road. Average price = -0.017 i 0le distance + 13.99 3: 0.31. The dotted line represents the relationship for 2007 (-0.012 at 0.007x distance + 13.25 i 0.24). 40 .83. E baseman“ 36.5: @0382 00E E 855.» BE. ASHE man?» 50; 5 3.552% 203 £838: 8% BB .983 88 ea 0%: 88 5 88E“ 8C 8:8 C3 8382 BE 885. .84 a. .8.— 25$ 832:3 5 95...? no out.— uaaecsu 5 95:7. Co 93.5 8 me 8 mm 8 m.” 8 m." 8 m... 8... mm 8 m." a." m._ sploqasnoq 3!!!qu 1° JoqmnN 41 .U‘ o o :‘e U1 0 4*?! 4n i 2007 L 2008 a? é Community Relative importance of lobster to Income :5 o O 5” Ln 0 .U‘ o o Relative importance of shrimp to income 1 1 3.50 7% ~ Figure 1.7. Relative importance of lobster (top) and shrimp (bottom) to household income by community (H=Haulover, PL=Pearl Lagoon, R/A=Raitipura/Awas, K=Karawala) for 2007 and 2008. The y axis represents how fishers rate lobster/shrimp against other fisheries by importance to their household income (5 = most important income source from fisheries, 1 = least). These rankings are compiled from households that are engaged in lobster/shrimp fishing respectively. 42 30- 25- 20‘ 15‘ 10— 5C -5 a .10 C -15 C -20 C -25 '4 % change in reported exports 2007-2008 Cassava Root Banana Coconut Fruit Beans Rice Corn famfly Product Figure 1.8. Relative change in percent of farmers who sold product to an export market (often in conjunction with local markets and home consumption) in 2008 compared to 2007. Coconut shows a strong increase due a single buyer from Managua. 43 References Alston, L.J., Libecap, G.D., & Schneider, R. (1996) The Determinants and Impact of Property Rights: Land Titles on the Brazilian Frontier. Journal of Law, Economics and Organization 12(1): 25-61 Angelsen, A. & Kaimowitz, D. (1999) Rethinking the causes of deforestation: Lessons from economic models. The World Bank Research Observer 14(1): 73-98. Aswani, S. (2002) Assessing the Effects of Changing Demographic and Consumption Patterns on Sea Tenure Regimes in the Roviana Lagoon, Solomon Islands. Ambio 31(4): 272-284. Baltenweck, I. & Staal, S. (2007) Beyond One-Size-Fits-All: Differentiating Market Access Measures for Commodity Sytems in the Kenyan Highlands. Journal of Agricultural Economics 58(3): 536-548. Berkes, E, Hughes, T.P., Steneck, R.S., Wilson, J .A., Bellwood, D.R., Crona, B., Folke, C., Gunderson, L.H., Leslie, H.M., Norberg, J ., Nystrom, M., Olsson, P., Osterblom, H., Scheffer, M. & Worm,B. (2006) Globalization, Roving Bandits, and Marine Resources. Science 331: 1557-1558. Blondal, N. 2007. Evaluating the impact of rural roads in Nicaragua. Endeleza International Development Consulting, Ministry of Foreign Affairs of Denmark, Danida. URL http://www.um.dk/en/menu/DevelopmentPolicy/Evaluations/Publicatiorgl EvaluationStudies/2007-3+Evaluation+Studyhtm Broegaard, RI. (2005) Land Tenure Insecurity and Inequality in Nicaragua. Development and Change 36(5): 845-864. Cinner, J. (2005) Socioeconomic factors influencing customary marine tenure in the lndo-Pacific. Ecology and Society 10(1): 36. Cinner, J. & McClanahan, TR. (2006) Socioeconomic factors that lead to overfishing in small-scale coral reef fisheries of Papua New Guinea. Environmental Conservation 33(1): 73-80. 44 Costello, C., Gaines, S.D. & Lynham, J. (2008) Can Catch Shares Prevent Fisheries Collapse? Science 321: 1678-1681. Dodds, DJ. (1998) Lobster in the Rain Forest: The Political Ecology of Miskito Wage Labor and Agricultural Deforestation. Journal of Political Ecology 5: 83-108. Edmonds, C. (2002) The Role of Infrastructure in Land-use Dynamics and Rice production in Viet Nam’s Mekong River Delta. Asian Development Bank ERD Working Paper Series No. 16, Manila, Philippines. F afchamps, M. (1992) Cash crop production, food price volatility, and rural market integration in the Third World. American Journal of A gricultural Economics 74:90-99. FIRMS Fisheries Resources Monitoring System. (2005) Marine resources — Western central Atlantic [F AO]. URL http://firms.fao.or2/firms/resource/1 1842/en Gbetnekom, D. (2005) Deforestation in Cameroon: immediate causes and consequences. Environment and Development Economics 10: 557-572. Geist, H.J. & Lambin, ER (2002) Proximate causes and Underlying Driving Forces of Tropical Deforestation. BioScience 52(2): 143-150. Gibson, J. & Rozelle,S. (2003) Poverty and Access to Roads in Papua New Guinea. Economic Development and Cultural Change 52(1): 159-185. Gonzalez-Colindres, CO. (2006) Description and analysis of the white shrimp (Litopenaeus schmitti) fisheries in Pearl Lagoon, Atlantic Coast of Nicaragua, with focus on the gear selectivity in the artesanal fleets. pp. 15-22. The Norwegian College of Fishery Science, University of Tromso. Norway. Hostetler, M. (2000) In: Taking Care of What We Have: Participatory Natural Resource Management on the Caribbean Coast of Nicaragua. Eds. Christie, P., Bradford, D.,Garth, R., Gonzalez, 3., Hostetler, M., Morales, 0., Rigby, R., Simmons, 8., Tinkham, E., Vega, 6., Vernooy, R., and White, N. pp: 17-46. Ottawa, IDRC Books. 45 IREMADES Instituto de Recoursos Naturales, Medio Ambiente, y Desarollo Sostenible, and URACCAN Universidad de las Regiones Autonomas de la Costa Caribe Nicaragfiense. (2007) Diagnostico de las comunidades miskitu y afrodescendientes del municipio de Pearl Lagoon, Region Autonoma del Atlantico Sur de Nicaragua. Bluefields, Nicaragua IUCN International Union for Conservation of Nature (2008). 2008 IUCN Red List of Threatened Species. URL www.iucnredlist.org Jacoby, H.G. (2000) Access to Markets and the benefits of Rural Roads. The Economic Journal 110: 713-737. Jameson, S.C., Trott, L.B., Marshall, M.J. & Childress, M.J. (2000) Nicaragua: Caribbean Coast. In: Seas at the Millennium: An environmental evaluation, ed. C. Sheppard, vol. 1, pp. 517-530. Amsterdam, Elsevier Science. Kramer, D., Urquhart, G., & Schmitt, K. (2009) Globalization and the Connection of Remote Communities: A Review of Household Effects and Their Biodiversity Implications. Ecological Economics — In revision Kronen, M. (2004) Fishing for fortunes? A socio-economic assessment of Tonga’s artisanal fisheries. Fisheries Research 70: 121-134. Lambin, E.F., Geist, H.J. & Lepers,E. (2003) Dynamics of Land-Use and Land-Cover Change in Tropical Regions. Annual Review of Environmental Resources 28: 205-241. Leinbach, T. (2007) Rural Accessibility Decision Making. In: Making World Development Work, eds. G. Leclerc and C.A.S. Hall, pp. 474-86. Albuquerque: University of New Mexico Press. Maki, S., Kalliola, R. & Vuorinen, K. (2001) Road construction in the Peruvian Amazon: process, causes and consequences. Environmental Conservation 28(3): 199-214. Ministerio de Salud, RAAS. 2006. Plan de Trabajo del Area de Evaluacion. Municipio Karawala, Nicaragua. 46 Miyamoto, M. (2006) Forest conversion to rubber around Sumatran villages in Indonesia: Comparing the impacts of road construction, transmigration projects and population. Forest Policy 9: 1-12. Nelson, G.C. & Hellerstein, D. (1997) Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use. American Journal of Agricultural Economics 79(1): 80-88. Pfaff,A., Robalino,J.,Walker,R., Aldrich,S., Caldas,R., Reis,E., Perz,S., Bohrer,C., Arima,E., Laurance,W., & Kirby,K. (2007) Road Investments, Spatial Spillovers, and Deforestation in the Brazilian Amazon. Journal of Regional Science 47(1): 109-123. R Development Core Team (2008). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-Droiect.org. Salas, S., Sumaila, U.R., & Pitcher,T. (2004) Short-term decisions of small-scale fishers selecting alternative target species: a choice model. Canadian Journal of Fisheries and Aquatic Sciences 61(3): 374-383. Shriar, A.J. (2006) Regional integration or disintegration? Recent road improvements in Petén, Guatemala: A review of preliminary economic, agricultural, and environmental impacts. Geoforum 37: 104-112. Sollis, P. (1989) The Atlantic Coast of Nicaragua: Development and Autonomy. Journal of Latin American Studies 21(3): 481-520. Uchida, H. & Nelson, A. (2009) Agglomeration Index: Towards a New Measure of Urban Concentration. Background paper for the World Bank’s World Development Report 2009. Wagner, H.G. (1986) The supra-regional and regional impact of major road-building projects in West African countries. Applied geography and development 27: 39-59. Weaver, P.L., Lombardo, D.M. & Martinez-Sanchez, J .C. (2003) Biodiversity and Tropical Forest Conservation, Protection and Management in Nicaragua: Assessment and Recommendations. USAID/Nicaragua with USDA Foreign Agricultural Service. 47 Xu, J., Fox, J., Melick, D., Fujita, Y., Jintrawet, A., Jie, Q., Thomas, D., & Weyerhaeuser, H. (2006) Land Use Transition, Livelihoods, and Environmental Services in Montane Mainland Southeast Asia. Mountain Research and Development 26(3): 278- 284. 48 CHAPTER 2 ROAD ACCESS, EMPLOYMENT DIVERSIFICATION, AND ENVIRONMENTAL CHANGE ON NICARAGUA’S ATLANTIC COAST Summary Increasing market access (decreasing remoteness) is often associated with a greater availability of non-farm employment, and hence, a change in environmental resource use. However, the full effects of employment diversification on the environment are often unclear. We examine the effects of recent road development on household employment among remote communities in Nicaragua, and explore how employment diversification may act as an indirect driver of environmental change. We conducted household surveys on employment, land cultivation, and fishing investments in six communities over a two year period following the completion of a new road in 2007. Changes observed with increasing spatial access (proxied by distance to road) and temporal access (between 2007 - 2008) include household diversification into sales, wage work and remittances, and shifts away from farming and fishing. While changes suggest a possible decrease in resource-extractive activity, we suggest factors such as migration to the area, consolidation of resource based employment, and the re-investrnent of income . into resource-extractive activities will add complexity to these outcomes in future studies of the region. 49 Introduction Connecting remote communities to larger urban areas affects existing local natural resources through both direct and indirect mechanisms. Many relevant direct effects have been studied (1). Indirect mechanisms are varied and include changing socioeconomic conditions that influence how human communities interact with local natural resources (2). Improved road access is associated with the ability of rural households to diversify their incomes into non-farm activities (3, 4). An increase in non- farm opportunities is often seen as instrumental in reducing forest clearing in rural areas. It is frequently unclear however whether these employment shifts ultimately result in positive or negative local environmental outcomes. The type of off-farm labor available, the manner in which income earned from off-farm labor is invested, and a variety of contextual factors such as governance, access to credit, education, and wealth all influence environmental outcomes. In rural communities where non-farm resource intensive occupations are common (ie. fishing) the effects of income diversification are less studied and may exhibit different patterns. As communities around the world become more connected to global markets (5), understanding the complex relationships between socioeconomic and ecological change will become increasingly important. In areas where road building is being undertaken for development purposes, monitoring long term changes in employment is necessary to help clarify the relationships between decreasing remoteness, livelihood and employment opportunities, and environmental impact. Employment and the environment 50 Past work on employment diversification in Nicaragua has shown that access to infrastructure can play a key role in making non-farm labor available for rural residents (6). The ability for a household to diversify income sources may be strongly influenced by certain contextual factors, for example identification with a specific social group (7) or initial wealth/capital (6). Diversification is associated both with improved economic conditions and with risk management during less favorable economic conditions (7, 8). Information on how employment diversification affects natural resources is often conflicting, and remains relatively unstudied in Nicaragua. Elsewhere in Latin America, participation in off-farm labor and availability of migrant work has led to reduced land cultivation and forest re-growth (9, 10). In other cases however, migrant remittances have been invested back into environmentally harmful activities such as shrimp farming (11) or into extractive equipment, such as motorized boats (12). Wages earned from off-farm labor may also be re-invested into the purchase of additional agricultural land (l3, 14). Among fishing communities in Honduras the increased availability of lobster diving employment resulted in an environmental ‘tradeoff’, increasing lobster exploitation but decreasing forest clearance (15). Employment diversification may have different environmental outcomes depending on whether it takes place in farming or fishing communities. The intent of this study was to explain the preliminary effects of infrastructure connection on household employment among remote communities in Nicaragua, and to explore how employment diversification may act as an indirect driver of environmental change. We monitored the rapidity of employment changes after approximately 1.5 years of road access along a gradient of communities with different degrees of road access. We 51 examined whether job diversity and the receipt of remittances were linked to drivers of environmental change, as measured by land cultivation and fishing gear accumulation, and we discuss potential environmental consequences of employment changes. Data presented here were used primarily to identify initial trends denoting meaningful research directions for a long term study monitoring socioeconomic variables (including employment shifts) and environmental change on Nicaragua’s Atlantic coast. Study area The Atlantic coast of Nicaragua provides an ideal setting to examine the relationship between road building, employment, and potential environmental impacts. Recent infrastructure development, the environmental significance of the region, limited employment opportunities, and its historical isolation from major urban centers all contribute to its relevance. The area known as the Atlantic Coast of Nicaragua encompasses about 50% of the land area of Nicaragua, spanning from the central mountain regions east to the Caribbean Sea (16). The Atlantic region is rich in natural resources and includes varied terrestrial ecosystems (mangroves, pine savannahs, tropical lowland rainforest), and marine ecosystems (lagoons/estuaries, reefs, turtlegrass flats) all of which contribute to the regions relatively high biodiversity (17). These ecosystems are commercially as well as ecologically important, with marine ecosystems housing fish, shrimp and spiny lobster (Panulirus argus), that contribute to the local economy. Due in part to the historical isolation of the towns located along this coast, many of these ecosystems are still present, 52 although anecdotal information about declining fish and wild animal populations is prevalent (18). In addition to geographical barriers, the eastern and western parts of Nicaragua are culturally distinct with most indigenous and English-speaking Creole communities located on the Atlantic coast, and the majority Spanish-speaking ‘Mestizo’ populations controlling Nicaragua’s central government in the West (16). There are currently six principle ethnic groups that populate the Atlantic including the Miskitu, Sumu, Rama, Garifiina, Creole and Mestizo. Since 1987, an Autonomy Statute has allowed for increased political participation of Indigenous and Creole people and has divided the Atlantic coast into two semi-autonomous regions, the Region Auténoma Atlantica del Norte or RAAN, and the Region Autonoma Atlantica del Sur or RAAS. This has also led to some substantial re-organization of the governance structure in these areas. This study focuses on a subset of communities within the Pearl Lagoon and the Desembocadura de la Cruz de RioGrande municipalities (both located within the RAAS), which vary in distance from a recently constructed road running fi'om the riverport city of el Rama to the town of Pearl Lagoon (Figure 2.1). This segment of the highway that connects Pearl Lagoon to Managua was begun in 2005 and completed during the fall of 2007, while the majority of the road became passable during the 2007 dry season (J anuary-April, 2007). Future road development projects and the construction of a deep water port are planned in the region. Employment on the Atlantic coast has historically been limited to fishing, farming, and small scale service industry and wage work (e. g. baking, construction, tourism). This economy has recently seen a large influx of money due to remittances 53 from family members working on cruise ships and for tourist establishments. Road development itself may bring new employment in the form of increased tourism, fisheries transport/vending, and additional service work. Shifting employment patterns may play an important role in how local natural resources are maintained. Methods Community selection and sampling This study examines preliminary trends in employment, cultivation, and fishing gear investments amongst six communities on the Atlantic coast of Nicaragua over a 1.5 year period spanning completion of a new road. The selected communities fall along a continuum of road access (Table 2.1); Pearl Lagoon, Haulover and Raitipura/Awas were newly connected by road to the capital city of Managua during the time period of the study. Orinoco and Karawala/Bar del Rio Grande are located approximately 24km and 86 km respectively to the north of the new road; travel among these communities is conducted by boat along the coast (Figure 2.1). Data was collected during two field seasons; the first data collection period occurred June - August of 2007, before road completion into Pearl Lagoon. The second collection period occurred May - August of 2008, after the road had been fully in place in Pearl Lagoon for about 8 months. The communities of Orinoco and Bar del Rio Grande were visited only in 2008. Communities were selected for similarities in size and in economic activity, as well as varying distances to new road access. Household surveys were used to assess household income-earning activities, relative wealth, and fishing and farming investments among communities. Survey 54 respondents were asked to rank household income-eaming activities from most to least important; these activities were then characterized by the interviewers as one of the following categories: fishing, farming, sales (self employed), wage labor (paid hourly), professional (salaried), remittance income, or other income source. Although many studies on employment distinguish only between farm labor, off-farm agricultural labor, and non-farm labor, we were interested in a broader category of employment and natural resources, and therefore specifically included additional activities. In order to describe general employment trends, an overall ranking was assigned to each income source for the household ranging from zero (i.e. household not engaged in that activity) to five (i.e. most important income source for the household). Rankings were adjusted for the overall diversity of income sources within the household, under the assumption that for a household with one income source, that source would be more important than to a house with multiple sources of revenue even when ranked first. For example, a household might rank fishing =5, farming =4, and sales =3 as their sources of income. Each ranking would be divided by the sum of all rankings (5+4+3=12), resulting in a final rank of fishing = 0.41, farming = 0.33, sales = 0.25. We also collected data on environmentally relevant activities within a household, including the amount and intensity of land cultivation, and fishing gear ownership. Depending on the community, either random sampling or systematic sampling was employed. For communities with an available list of adult residents interviewees were randomly selected using a list of residents obtained from a 2006 community socioeconomic study (20). Selected respondents were not interviewed if they were not living in Pearl Lagoon, if they were in the same household as another selected survey 55 respondent, or if after repeated attempts the person was not found. For communities with no available list of residents a systematic sampling scheme was used; surveys were conducted with every nth house (2“, 3“) determined by dividing the number of households in a community by the desired number of surveys (21). The number of surveys per community ranged from 10 to 61, depending largely on the population of the community; a minimum of ten percent of households were surveyed in each community. In order to capture variation between years as opposed to variation among households within a community, the same houses were interviewed in 2007 and 2008. Surveys were administered by the lead author and two trained research assistant from the coastal communities. Surveys were developed and pre-tested during the 2007 field season, and the survey for 2008 was revised some. In total, 144 households were surveyed in 2007 and 204 in 2008. Analysis We examined the variation in job diversity among households using a general linear model; all analyses were conducted with R statistical software (22). Distance to road as a proxy for road access was our principle predictor of job diversity after first accounting for the total number of residents in a household. We also examined the effect of wealth on job diversity since wealth has been found to be important in overcoming entry barriers, allowing families to diversify (6). Though several other factors could potentially affect job diversity, we limited our analysis to observe the specific affects of access and wealth. Job diversity was based on the number of different income sources for a household as categorized into predetermined categories by the interviewer. Since most 56 households found it difficult to estimate yearly income, wealth was measured using a simple material style of life (MSL) index (23), calculated by recording particular possessions within a household (gas stove, radio, cell phone) and adjusting for the percentage of people who owned these items within the entire Pearl Lagoon basin (20). We also used a linear model to examine individual household gains/losses in job diversity between 2007 and 2008 and its relationship to road proximity. In order to describe overall community employment trends, we used linear models to examine the ranked importance of each income source (adjusted for jobs within a household) and its relationship to road proximity. We chose to use community as the level of analysis in this case because income sources (and therefore ranked importance) vary widely between individual households. A linear model was considered effective for the purpose of describing trends, however since the adjusted rank of income importance is somewhat ordinal, we performed Spearrnan rank correlation tests as well. These tests revealed the same trends as our regression analyses, so only the regression results are described. Past studies suggest that employment diversification may lessen the labor that can be dedicated towards clearing and cultivating land (10). We therefore used linear models to test the relationship between job diversity and the amount of farmland owned, amount of land in cultivation, and the ratio of cultivated land to total land among farmers in 2008. Extent of cultivation can be used as a proxy for forest clearance, while ratio of cultivated to owned land can indicate the intensity of agricultural efforts and length of fallow cycles, affecting environmental indicators such as soil nutrient balance (24). In addition we tested the relationship between fishing gear owned (total gear and specific types of 57 gear) and job diversity. Increased gear investments can signify an increase in fishing effort, which may decrease species yields relative to abundance. A shift in gear possession may shift effort from one species to another with potential consequences for individual species (25). We also used a linear model to examine whether the importance of remittance income was linked to gear ownership and land cultivation, since remittance income has been associated with investments in farming and fishing (13 — see Appendix D for a list of all models used). Results As was expected, household job diversity was positively related to road access (as proxied by distance to road) in both 2007 and 2008, after first accounting for the number of people living in a household (6.9 people per household in 2007, 6.8 in 2008). An increase in 1 km distance from the road resulted in 0.006 fewer types of income sources per household in both 2007 and 2008. However, only 11% of the variation in job diversity was explained by our model in 2007 and 12% in 2008 (Table 2.2). Household wealth (as measured by MSL score) was non significant in describing job diversity in our linear model for 2008. Wealth exhibited a non-linear relationship with job diversity, increasing until four income sources and then decreasing (Figure 2.2). There was also an increase in job diversity per household from 2007 to 2008, with noticeably more sources of income per household in 2008 than in 2007 (intercept = 1.80 i 0.19 in 2008, 1.55 :1: 0.18 in 2007). Though road access contributed to job diversity, it had no relationship to whether a household gained or lost income sources between 2007 and 2008 (R2<0.001, t = -0.16, 58 p=0.87). However, there were patterns in the types of employment that were associated with gains versus losses in household job diversity between each year of the study. Households that lost or retained the same number of jobs from 2007 to 2008 generally assigned an increase in the importance of farming and sales labor to their income during those same years (Figure 2.3). Households that increased their job diversity between 2007 and 2008 assigned increased importance to remittances, sales and wage labor. In addition, households that diversified jobs saw a decrease in the importance of natural resource based employment overall, i.e. fishing and farming. Fishing decreased in importance markedly among families that lost jobs, and moderately amongst families that gained jobs. Looking at the continuum of coastal communities demonstrates further trends in road access and employment type. In our study communities, the mean (by community) ranked importance of farming decreases with proximity to road (R2 = 0.77, t = 3.66, p = 0.02 — Figure 2.4) whereas the mean importance of remittance employment shows an opposite (and only moderately significant) trend (R2 = 0.46, t = -1.86, p = 0.14), as does sales work (R2 = 0.52, t = -2.1, p = 0.1). The ranked importance of fishing shows no consistent trend with distance (R2 = 0.1, t = 0.7, p = 0.53). With increasing access, options for alternative income sources may arise that families will preferentially choose in lieu of farming or as a supplement to farming income. Environmental indicators Within-household job diversity in 2008 did not significantly influence the amount of land owned (R2=0.001, t=0.33, p=0.74), the amount of land in cultivation (R2=0.006, 59 t=0.67, p=0.5), or the ratio of land in cultivation to land owned (R2<0.001, t=0.07, p=0.95) amongst farming families. Job diversification also did not affect the amount of total fishing gear owned, or the amount of specific gear types (e. g., Total gear: R2 =0.001, t=0.49, p= 0.62). Whether a household was earning income from remittances had no effect on total land ownership, the ratio of cultivated to owned land, or the amount of fishing gear owned. The receipt of remittances did have a slight positive effect on the amount of land cultivated by a household, however it explained little of the variation in land cultivated (R2=0.09, t=2.87, p=0.005). Discussion Observed patterns in job diversity and ranked job importance among our study communities followed expected patterns with increasing road access in two ways: (i) Opportunities for families to diversify into non-farm employment became more apparent, and (ii) and a shift away from farm labor was seen (6, 26). F eedbacks between non-farm income sources and environmental outcomes (land clearance, cultivation intensity, and gear investment) are not yet clear and warrant continued long-term study as access increases on the coast. Among our study communities in coastal Nicaragua, job diversity increased with proximity to the road in both 2007 and 2008. For all study communities, proximity to road also paralleled proximity to Bluefields, the largest town in the RAAS located about 50km south of Pearl Lagoon by waterway. Both the road and Bluefields may contribute to higher job diversity through increased commerce and access to non-local employers (ie. recruiters from abroad) or business partners. Job diversity also increased from 2007 60 to 2008 among all towns. Given that study communities both near and far from the road saw comparable increases in job diversity in 2008, regional factors leading to diversification are likely. For example, high food prices in 2008 increased financial stress on many households and may have induced some families to seek additional sources of income as a risk-management strategy (8). At the same time however, we may be seeing strategic diversification due to opportunities provided by the road, including easier avenues for buying and selling goods. This may translate into more local entrepreneurial opportunities in sales and more profit in retail. Although currently difficult to separate, it is possible that both necessity and opportunism are driving job diversification depending on the particular community or household. The non-linear relationship between job diversity and wealth may be an indication of this; wealth increased with job diversity up to a point, but some of the poorest households in the area also had the most varied incomes (e. g., Figure 2.2). Proximity to road was not a determinant of whether an individual household gained or lost income sources between 2007 and 2008. Among households that diversified, relative importance of employment shifted from natural resource-based jobs to sales income, remittances, and wage employment (e.g., Figure 2.3). Shifts away from farming could be due to the low revenue, slow returns, and difficult labor associated with farming when compared to other local employment options (18). Although fishing has more immediate returns, increasing scarcity of certain species and frequent gear theft may have contributed to a shift of some households away from fishing employment. Those who lost income sources between both years of the study seemed to retain farming and sales employment as their main sources of income, suggesting that farming played an 61 important role in coastal employment and in offsetting risks involved with losing other income sources. The importance to income of remittances and sales employment increased with road access both temporally (between 2007 and 2008) and spatially (with proximity to road). The importance of agriculture to income decreased with proximity to road (e. g., Figure 2.4), which echoes observed temporal changes. Fishing importance showed no meaningful trend with distance, perhaps because high returns from fishing may provide less of an incentive to diversify income, even if road access provides additional employment opportunities. Distance to road only explained 11% of the variation in household job diversity, and in communities located near to one another the importance attributed to different income sources was very variable. For example, remittance income was ranked over twice as important for the community of Pearl Lagoon when compared to the neighboring community of Haulover (H=0. 1 , PL=0.25). Road proximity only explained 46% of the variation in mean importance of remittance income among the study communities. Though we examined the effects of ethnicity on changes in household job diversity, meaningful relationships have not yet emerged. Clearly there are other variables that are needed to thoroughly examine employment trends. Specifically, we recommend future analyses should include such measures as access to education, access to credit, and physical geography (ie. proximity to shrimp fishing grounds). Resource use implications 62 No relationship was observed between job diversification and investments in fishing gear or farm ownership and cultivation. This contrasts with the expectation that increasing off-farm employment would decrease the labor available for cultivation. Household receipt of remittances had no meaningful effect on farmland investments. In spite of examples from previous studies noting household investment of remittance income into fishing equipment (12), we found no relationship between the receipt of remittances and amount of fishing gear owned, even though investment in gear (motorized boats, more gill nets) can be used as a local strategy to increase catch and income. More targeted studies looking specifically at remittance income and where it is invested may clarify this issue. Although roads are often associated with providing avenues for agricultural expansion into previously remote areas (27), we did not see any evidence of agricultural expansion from within the coastal communities. In fact farming became less important with increasing access. The potential for agricultural expansion with road-building may be counteracted in coastal Nicaragua by the ability of families to diversify their income sources and seek off-farm employment. However, diversification has not yet produced a corresponding decrease in farming effort as proxied by land cultivation. Rather than eliminating farm laborers, households may be having an unemployed member of the household utilize alternative income sources that become available. Alternatively, 1.5 years post-road development may be too little time to see meaningful feedbacks between job diversification and fishing and farming investments. Households may be risk averse, and therefore reluctant to immediately invest or disinvest in gear or land conversion 63 without other forms of support, for example access to credit or assurance that new income sources are relatively stable. Increasing road access and subsequent income diversification may lead to shifts away from strictly natural resource based employment, such as fishing and farming. At first glance this would appear to have obvious positive effects on local fisheries and lessen rainforest clearing. However the full implications are still ambiguous. Employment could shift away from fishing or farming among local households, but could open opportunities for migrants to extract fisheries goods and clear farmland. Both of these issues are currently considered to be serious threats in the Pearl Lagoon basin, as the ‘agricultural frontier’ advances from the West, and local fishers complain of outsiders using what have historically been community fishing grounds (18). In addition, both agriculture and fisheries have the potential to become more consolidated; fewer households may earn a living from farming, but could be using more intensive methods on larger tracts of land. In the fisheries sector, effort could become concentrated among those with more expensive gear allowing for more efficient extraction, especially as fisheries resources continue to decline. After only two years of road development in remote coastal areas of Nicaragua, we have identified changing patterns of employment affected in part by increased market access. While observed diversification into sales, remittance and wage income suggest a possible decrease in resource-extractive activity, migration to the area, consolidation of resource based employment and the re-investrnent of income into resource-extractive activities may lead to more complex outcomes. Future analysis will be required to 64 disentangle these feedbacks and to realize the full effects of decreasing remoteness on natural resource use in this area. 65 8%: 32a: .85 835 8 8.8 v. usage 88 286 68$ 3:22 8 :8 m 885 2m 8 .3 883 83:8 8C 8 Co 88:0 C88: 3322 5 8.. E $338.83 883 286 8C. 8 .E 883 :3; 88C 286 EN 8 m 88:5: 8555...... 8.2.88: 88 45: 83. 822.55.? 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N» n. \ £880 .5— 5. 8m 0 I a. \ \x 3&gfihg A15 \ .Mln.if; Jilytrnjfzs/ \X3..l,i .1 L M .6 .\ _\\{\ is o \u ‘_ / x \W), (Wm. \.\\ “I .(J , ”.4 .x \ _ Average wealth score (MSL) h—O—fl 0 l 2 3 4 5 6 Diversity of household income sources Figure 2.2. Household wealth increased as households added up to four income sources. 69 I Households losing/rctainingjobs ‘ Z Households gainingjobs Difference in ranked importance from 2007-2008 -O.15 ~ F'Bhing Farming Remittance Sales Wage Professional Employment category Figure 2.3. Change in the importance of income sources between 2007 and 2008. The vertical axis represents the difference in magnitude of ranked importance ofeach job to overall household income from 2007 to 2008. The bars represent households that lost or maintained job diversity from 2007-2008 versus those that gained jobs in the same time period. 70 0.4 t O Fanning l 4* 0.35 l E] Remittancer K t y R2 0 77 /”’3 B 03 _ T / l :T . * 025 jg PL ‘01- * -0 WA 0 2 ’ // 1 Cf] Average rank ofjob importance R2 = 0.46 0 10 20 3O 40 50 60 7O 80 90 100 Distance to market outlet (km) Figure 2.4. The ranked importance by community of farming and remittance income showed opposite relationships with increasing market access in 2008. The importance of farming to income increased with distance to market, and the importance of remittances decreased with distance. See Table 2.1 for the communities represented. 71 References l. Forman, R.T.T. and Alexander, LE. 1998. Roads and Their Major Ecological Effects. Ann. Rev. Ecol. Svst. 29, 207-231. 2. Kramer, D., Urquhart, G. and Schmitt, K. 2009 Globalization and the Connection of Remote Communities: A Review of Household Effects and Their Biodiversity Implications. Ecological Economics - in revision 3. Rigg, J .D. 2006. Forests, Marketization, Livelihoods and the Poor in the Lao PDR. Land Degradation and Development 17, 123-133. 4. Leinbach, T. 2007. Rural Accessibility Decision Making. In: Making World Development Work. G. Leclerc and C.A.S. Hall (eds). University of New Mexico Press, Albuquerque, pp. 474-86. 5. Uchida, H. and Nelson, A. 2009. Agglomeration Index: Towards a New Measure of Urban Concentration. Background paper for the World Bank’s World Development Report 2009. 6. Corral, L. and Reardon, T. 2001. Rural Nonfarm Incomes in Nicaragua. World Development 29(3), 427-442. 7. Ellis, F. 1998. Household Strategies and Rural Livelihood Diversification. Journal of Development Studies 35(1), 1-38. 8. Reardon T., Berdegué, J ., Barrett, GB. and Stamoulis, K. 2007. Household Income Diversification into Rural Nonfarm Activities. In: Transforming the Rural Nonfarm Economy: Opportunities and Threats in the Developing World. Haggblade, S., Hazell, P.B.R., and Reardon, T. (eds). The Johns Hopkins University Press, Baltimore. 9. Klooster, D. 2003. Forest Transitions in Mexico: Institutions and Forests in a Globalized Countryside. The Professional Geographer 55(2), 227-23 7. 10. Gray, C.L., Bilsborrow, R.E., Bremner, J.L. and Lu, F. 2008. Indigenous Land Use in the Ecuadorian Amazon: A Cross-cultural and Multilivel Analysis. Human Ecology 36, 97-109. 72 l l. Adger, W. N., Kelly, P. M., Winkels, A., Huy L. Q. and Locke.C. 2002. Migration, remittances, livelihood trajectories, and social resilience. Ambio 31 . 358- 366 12. Kronen, M. 2004. Fishing for fortunes? A socio-economic assessment of Tonga‘s artisanal fisheries. Fisheries Research 70, 121-134. 13. Mulley B.G. and Unruh, J .D. 2004. The role of off-farm employment in tropical forest conservation: labor, migration and smallholder attitudes toward land in western Uganda. Journal of Environmental Management 71, 193-205. 14. Eder, J .F. 2006. Land Use and Economic Change in the Post-Frontier Upland Philippines. Land Degrad. Develop. 17, 149-158. 15. Dodds, DJ. 1998. Lobster in the Rain Forest: The Political Ecology of Miskito Wage Labor and Agricultural Deforestation. Journal of Political Ecology 5, 83-108. 16. Sollis, P. 1989. The Atlantic Coast of Nicaragua: Development and Autonomy. Journal of Latin American Studies 21(3), 481-520. 17. Weaver, P.L., Lombardo, D.M. and Martinez-Sanchez, J.C. 2003. Biodiversity and Tropical Forest Conservation, Protection and Management in Nicaragua: Assessment and Recommendations. USAID/Nicaragua with USDA Foreign Agricultural Service. 18. Hostetler, M. 2000. In: Taking Care of What We Have: Participatory Natural Resource Management on the Caribbean Coast of Nicaragua. Christie, P., Bradford. D., Garth, R., Gonzalez, 8., Hostetler, M., Morales, 0., Rigby, R., Simmons. B., Tinkham, E., Vega, G., Vernooy, R., and White, N. (eds) Ottawa, IDRC Books, pp l7-46. ‘ 19. Ministerio de Salud, RAAS. 2006. Plan de Trabajo del Area de Evaluacion. Municipio Karawala, Nicaragua. 20. IREMADES Instituto de Recoursos Naturales, Medio Ambiente, y Desarollo Sostenible, and URACCAN Universidad de las Regiones Auténomas de la Costa Caribe Nicaragiiense. 2007. Diagnostico de las comunidades miskitu y afrodescendientes del municipio de Pearl Lagoon, Region Autonoma del Atlantico Sur de Nicaragua. Bluefields, Nicaragua 73 21. Cinner, J. 2005. Socioeconomic factors influencing customary marine tenure in the Indo-Pacific. Ecology and Society 10(1), 36. 22. R Development Core Team 2008. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. (http://www.R- projectorg) 23. Hamilton, S., DeWalt, BR. and Barkin, D. 2003. Household Welfare in Four Rural Mexican Communities: The Economic and Social Dynamics of Surviving National Crises. Mexican Studies 19(2) 433-462. 24. Wagner, H.G. .1986. The supra-regional and regional impact of major road- building projects in West African countries. Applied geography and development 27, 39-59. 25. Mangi, SC, and Roberts, GM. 2006. Quantifying the environmental impacts of artisanal fishing gear on Kenya’s coral reef ecosystems. Marine Pollution Bulletin 52, 1646-1660. 26. Hazell, P.B.R., Haggblade, S. and Reardon,T. 2007. Structural Transformation of the Rural Nonfarm Economy. In: Transforming the Rural Nonfarm Economy: Opportunities and Threats in the Developing World. Haggblade, S., Hazell, P.B.R., and Reardon, T. (eds). The Johns Hopkins University Press, Baltimore. 27. Pfaff,A., Robalino,J.,Walker,R., Aldrich,S., Caldas,R., Reis,E., Perz,S., Bohrer,C. et al. 2007. Road Investments, Spatial Spillovers, and Deforestation in the Brazilian Amazon. Journal of Regional Science 47(1), 109-123. 74 Appendix A: 2008 Community Household Survey Survey of the Economy and Natural Resources of Coastal Communities: ID # Surveyor initials Date: Head of household: QM LLF l. a. Name (optional) b. Age c. Gender d. Ethnicity e. Education level 2. In which community do you live? 3. How many years have you lived (in the community)? 4a. How many people live in your household? 4b. Has anyone left your household in the last year? :yes ( l) Tino (0) 4c. If yes, when did they leave and why? 4d. Education level of the person (people) who is no longer living in the house? 4e. What are the effects on the household of this person leaving? 5. Right now how does your household have money coming in? Can you please put these in order by importance (show laminated cards): Occupation Type Does your household (construction, earn more or less baked goods, from this compared etc) to last year? M=1, L=2 a. Fishing b. Farming c. Selling products (ie. pulperia, baking) d. Wage labor (ie. construction) e. Domestic work (ie. Cooking, washing, cleaning) f. Professional Salary (ie. Office, teacher. nurse) g. Tourism services (ie. hotels) h. Transportation work i. Money from family J- Other If fishing is ranked, go to fisher survey (question 35). 6. Do you have a farm? 2 yes ( l) Tno (0) [If yes go to farmer survey (question 43)] 75 7. How many times did you travel to each place in the last year? a. Bluefields How long did this take? b. Kukra Hill How long did this take? c. Managua How long did this take? d. Other: 8. Do you think the local control of natural resources has increased, decreased or stayed the same in the last year? :increased (2) ‘_;stayed same (1) jdecreased (0) 9a. Has your family income increased, decreased or stayed the same from 1 year ago? : Increased (2) :1 Stayed same (1 ) .7 Decreased (0,) 9b. If it has increased/decreased, why? 10. In your household, can you put in order which thing you spend the most on, second most, third most, etc? a. Food e. Clothing b. Transportation f. Shelter c. Energy (electricity, charcoal, propane) g. Other: d. Education expenses 1 la. Does your household have a radio? # 1 1b. Propane cocina? # 11c. Cell phone? # 11d. If your household owns a cell phone, what do you use it for? ] Pleasure (0) 3 Business (1) Description: 12a. How many times did you do unpaid work (community, friend) in the last week? 12b. How many times did you share food with another household in the last week? Strongly agree (4) Strongly disagree (0) Neutral (2) Disagree ( I ) Agree (3) 16. Most of your food comes from local farmers and fishers. 17. This year you bought more food (like vegetables) that came from outside of the community. 18. This year you bought more packaged food (not from farm) than last year. 76 18b. Can you tell me the proportion of the food in your household that comes from each of these sources? 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Sea products b. drinking water C. ocean water d. forest e. soil f. wild animals How do you expect each topic to be 10 years in the future (for your children)? Better (3) Same (2) Worse (Q l ‘) DK (0) a. access to education b. access to health care 0. job opportunity (1. health of natural resources e. community safety On a scale of 0 = strongly disagree to 4 = strongly agree: The road is a good thing for our community. The community knew about the road. The community has planned for the new road. Will the road be paved with concrete? 2 yes ( 1) :no (0) Idk (3) Will the road work all year? 3 yes (1) :no (0) Have you travelled on the new road? a. To Kukra Eyes (1) Inc (0) b. To el Rama Eyes (1) Jno (0) c. To Managua Eyes (1) Inc (0) What changes have you noticed due to the road? When did you first notice changes? 83 Appendix B: Characteristics of artisanal fisheries in Atlantic coastal Nicaragua % of fishers Product Location fished Gear/Vessels Used Seasonality participating Outside the lagoon, . Motorized boats . near the Pearl Keys Spmy lobster . . O Lobster traps Year-round except for . (dlvmg) and . 50 Panullrus argus northeast ofthe (wood/wue mesh) or closed season. keys (trapping) d1v1ng equ1pment o Canoes (sail/oar or . . . small motor). Whrte shnmp . Ins1de lagoon, near . Han d-thrown cast Dry season 69 Penaeus schmmz shore nets Feb. - May 0 Some trawl nets. 5 Canoes (sail/oar or . Seabob Just outside of the small motor). . szhopenaeus la 00 near shore o Hand-thrown cast Aprll and October unknown kroyeri g n, nets. 0 Some trawl nets. Lagoon g111 fiSh . Variable according to e.g., o Canoes (sad/oar or . . . Centropomus spp small motor) specres, gill net C noscion s ” Inside lagoon, some 0 Motorizedboats fishing is most 69 y Lo botesp p " near river mouths . Gill nets ' effective during the surinamensis, 0 Hook and line ramy season, July- . Nov. Bagre marmus Blue crab Inside lagoon, near . - 31 Callinectes sapidus shore . Wire traps Year round Outside lagoon, Seafish (e “car ”‘6 Pea” Keys’ . Hook and line Cau ht main] durin . .g. ofien caught while . g y g 23 yellowta1l, snapper) fishers are lobster 0 Long hne lobster season fishing. Green turtle Outside lagoon o Motonzed boats Open season, approx 8 C helom'a mydas o Turtle nets June - Sept. 84 Product Main market outlet(s) Destination Pertinent regulations for artisinal users Spiny lobster Panulirus argus 0 Acopio's on Pearl Keys 0 Export 0 Closed season from approximately Mar lst to May 3lst. 0 Minimum size of 14 cm long or 602. without head (Atlantic). 0 Maximum of 300 traps per artisinal boat White shrimp 0 Acopios in town 0 Vendors (local and non-local) for road 0 Export 5 National urban centers 0 No specified closed season for artisinal fishers 0 Minimum size of 71-80 shrimp per lb. Penaeus schmitti export . Local 0 Trawling prohibited within lagoon 0 Local households/ consu tion 0 Minimum trawl net mesh size of 3/4 in. businesses mp 0 Capture of larvae/juveniles prohibited. Seabob . Locall based got?“ don - Export prohibited for dried product. X iphopenaeus y ump 0 Trawl net restrictions (see above) also . vendors o - Reg10nal urban kroyerz centers apply Lagoon gill fish . . 0 Minimum mesh size for gill nets of 4 e.g., 2322332333.“... WW in- Centropomus spp., non-local) for road 0 National urban 0 Maximum of 10 nets per fisher, 120 m Cynoscion spp., ex rt centers long per net Lobotes . {Zeal household s/ 0 Local 5 Local restrictions on length of gill net surinamensis, businesses consumption allowed, based on vessel type (range 600- Bagre marinas 1000 yds of net). 0 Vendors for road . EXP? rt . Blue crab transport 0 Natlonal/ reg1onal Callinectes sapidus 0 Local households/ tranczfnters . None known businesses . consumptlon Seafish (e . Aco io's on Pearl 0 Local 0 Length restriction on long line of under ellowt ail, snf' ) Ke p consumption 25 nautical miles, only round hooks y p per ys 0 Some export permitted 0 Local Green turtle consumption 0 Closed season fiom March 1 - June 30 Chelom'a mydas . Local households 0 Regional urban (2006). centers 85 Note: This chart is meant to represent some of the predominant artisanal fisheries on the Atlantic coast of Nicaragua and their general characteristics, but is by no means exhaustive. Coastal communities vary in their access to different fisheries and possession of gears, but the products listed above can be and often are fished by the residents of all six study communities. The column “% of fishers participating” refers to the percentage of surveyed fishers who report engaging in each fishery in 2008. References for Appendix B: Christie, P. J. (1999) “In a Country without Forest, No Life is Good”: Participatory Action Research in the Neo-Liberal Context of Nicaragua. Natural Resources and Environment, The University of Michigan Gonzalez-Colindres, CO. (2006) Description and analysis of the white shrimp (Litopenaeus schmitti) fisheries in Pearl Lagoon, Atlantic Coast of Nicaragua, with focus on the gear selectivity in the artesanal fleets. The Norwegian College of Fishery Science, University of Tromso. Norway. Jamieson, M. (2002) Ownership of Sea-Shrimp Production and Perceptions of Economic Opportunity in a Nicaraguan Miskitu Village. Ethnology 41(3): 281-298 J oseph-Sequeira, KM. (2002) Development of Artisanal Fishery in Rama Cay community, Atlantic Coast of Nicaragua. The Norwegian College of Fishery Science, University of Tromso. Norway. Ministerio de Fomento, Industria y Comercio. (2005) DRGN - AdPesca (Direccion General de Recursos Naturales, Administracion Nacional de Pesca y Acuicultura). Legislacion en materia de Pesca y Acuicultura. PASMA-DAN IDA, Managua Nicaragua. 86 23860 mi boumamxoaga 3 3:3 33 oo. 2m :83 mo 33. 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