Behavioral and environmental influences on fishing rewards and the outcomes of alternative management scenarios for large tropical rivers
Identifying the factors that influence the amount of fish caught, and thus the fishers' income, is important for proposing or improving management plans. Some of these factors influencing fishing rewards may be related to fishers' behavior, which is driven by economic motivations. Therefor...
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Veröffentlicht in: | Journal of environmental management 2013-10, Vol.128, p.274-282 |
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description | Identifying the factors that influence the amount of fish caught, and thus the fishers' income, is important for proposing or improving management plans. Some of these factors influencing fishing rewards may be related to fishers' behavior, which is driven by economic motivations. Therefore, those management rules that have less of an impact on fishers' income could achieve better acceptance and compliance from fishers. We analyzed the relative influence of environmental and socioeconomic factors on fish catches (biomass) in fishing communities of a large tropical river. We then used the results from this analysis to propose alternative management scenarios in which we predicted potential fishers' compliance (high, moderate and low) based on the extent to which management proposals would affect fish catches and fishers' income. We used a General Linear Model (GLM) to analyze the influence of environmental (fishing community, season and habitat) and socioeconomic factors (number of fishers in the crew, time spent fishing, fishing gear used, type of canoe, distance traveled to fishing grounds) on fish catches (dependent variable) in 572 fishing trips by small-scale fishers in the Lower Tocantins River, Brazilian Amazon. According to the GLM, all factors together accounted for 43% of the variation in the biomass of the fish that were caught. The behaviors of fishers' that are linked to fishing effort, such as time spent fishing (42% of the total explained by GLM), distance traveled to the fishing ground (12%) and number of fishers (10%), were all positively related to the biomass of fish caught and could explain most of the variation on it. The environmental factor of the fishing habitat accounted for 10% of the variation in fish caught. These results, when applied to management scenarios, indicated that some combinations of the management measures, such as selected lakes as no-take areas, restrictions on the use of gillnets (especially during the high-water season) and individual quotas larger than fishers' usual catches, would most likely have less impact on fishers' income. The proposed scenarios help to identify feasible management options, which could promote the conservation of fish, potentially achieving higher fishers' compliance.
•We discuss adequate measures of economic yield in small-scale tropical fisheries.•Fishers' behavior related to fishing effort influenced most the fish catches.•We proposed management scenarios and estimated their outcomes a |
doi_str_mv | 10.1016/j.jenvman.2013.05.037 |
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•We discuss adequate measures of economic yield in small-scale tropical fisheries.•Fishers' behavior related to fishing effort influenced most the fish catches.•We proposed management scenarios and estimated their outcomes and compliance.•Fishers may better accept those management measures that do not reduce their income.•No-take lakes and individual fishing quotas could be better accepted by fishers.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2013.05.037</identifier><identifier>PMID: 23764509</identifier><identifier>CODEN: JEVMAW</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Animal and plant ecology ; Animal, plant and microbial ecology ; Animals ; Applied ecology ; Biological and medical sciences ; Biomass ; Brazil ; Brazilian Amazon ; Compliance ; Conservation ; Conservation of Natural Resources ; Conservation, protection and management of environment and wildlife ; Ecosystem ; Exploitation and management of natural biological resources (hunting, fishing and exploited populations survey, etc.) ; Fish ; Fisheries - economics ; Fisheries - methods ; Fisheries management ; Fishery economics ; Fishes ; Fishing ; Fresh water ecosystems ; Fundamental and applied biological sciences. Psychology ; General aspects ; Grounds ; Human ecology ; Humans ; Income ; Management ; Mathematical models ; Reward ; Rivers ; Seasons ; Small-scale fisheries ; Socioeconomic Factors ; Synecology ; Time Factors</subject><ispartof>Journal of environmental management, 2013-10, Vol.128, p.274-282</ispartof><rights>2013 Elsevier Ltd</rights><rights>2014 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Academic Press Ltd. Oct 15, 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-e5c101fbf5ef4e8de2c909abd0c4b1d364b0de6c0c76fde9e3bcdb5e8e1c8cfa3</citedby><cites>FETCH-LOGICAL-c489t-e5c101fbf5ef4e8de2c909abd0c4b1d364b0de6c0c76fde9e3bcdb5e8e1c8cfa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jenvman.2013.05.037$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27734491$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23764509$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hallwass, Gustavo</creatorcontrib><creatorcontrib>Lopes, Priscila F.M.</creatorcontrib><creatorcontrib>Juras, Anastácio A.</creatorcontrib><creatorcontrib>Silvano, Renato A.M.</creatorcontrib><title>Behavioral and environmental influences on fishing rewards and the outcomes of alternative management scenarios for large tropical rivers</title><title>Journal of environmental management</title><addtitle>J Environ Manage</addtitle><description>Identifying the factors that influence the amount of fish caught, and thus the fishers' income, is important for proposing or improving management plans. Some of these factors influencing fishing rewards may be related to fishers' behavior, which is driven by economic motivations. Therefore, those management rules that have less of an impact on fishers' income could achieve better acceptance and compliance from fishers. We analyzed the relative influence of environmental and socioeconomic factors on fish catches (biomass) in fishing communities of a large tropical river. We then used the results from this analysis to propose alternative management scenarios in which we predicted potential fishers' compliance (high, moderate and low) based on the extent to which management proposals would affect fish catches and fishers' income. We used a General Linear Model (GLM) to analyze the influence of environmental (fishing community, season and habitat) and socioeconomic factors (number of fishers in the crew, time spent fishing, fishing gear used, type of canoe, distance traveled to fishing grounds) on fish catches (dependent variable) in 572 fishing trips by small-scale fishers in the Lower Tocantins River, Brazilian Amazon. According to the GLM, all factors together accounted for 43% of the variation in the biomass of the fish that were caught. The behaviors of fishers' that are linked to fishing effort, such as time spent fishing (42% of the total explained by GLM), distance traveled to the fishing ground (12%) and number of fishers (10%), were all positively related to the biomass of fish caught and could explain most of the variation on it. The environmental factor of the fishing habitat accounted for 10% of the variation in fish caught. These results, when applied to management scenarios, indicated that some combinations of the management measures, such as selected lakes as no-take areas, restrictions on the use of gillnets (especially during the high-water season) and individual quotas larger than fishers' usual catches, would most likely have less impact on fishers' income. The proposed scenarios help to identify feasible management options, which could promote the conservation of fish, potentially achieving higher fishers' compliance.
•We discuss adequate measures of economic yield in small-scale tropical fisheries.•Fishers' behavior related to fishing effort influenced most the fish catches.•We proposed management scenarios and estimated their outcomes and compliance.•Fishers may better accept those management measures that do not reduce their income.•No-take lakes and individual fishing quotas could be better accepted by fishers.</description><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Animals</subject><subject>Applied ecology</subject><subject>Biological and medical sciences</subject><subject>Biomass</subject><subject>Brazil</subject><subject>Brazilian Amazon</subject><subject>Compliance</subject><subject>Conservation</subject><subject>Conservation of Natural Resources</subject><subject>Conservation, protection and management of environment and wildlife</subject><subject>Ecosystem</subject><subject>Exploitation and management of natural biological resources (hunting, fishing and exploited populations survey, etc.)</subject><subject>Fish</subject><subject>Fisheries - economics</subject><subject>Fisheries - methods</subject><subject>Fisheries management</subject><subject>Fishery economics</subject><subject>Fishes</subject><subject>Fishing</subject><subject>Fresh water ecosystems</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Grounds</subject><subject>Human ecology</subject><subject>Humans</subject><subject>Income</subject><subject>Management</subject><subject>Mathematical models</subject><subject>Reward</subject><subject>Rivers</subject><subject>Seasons</subject><subject>Small-scale fisheries</subject><subject>Socioeconomic Factors</subject><subject>Synecology</subject><subject>Time Factors</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqN0t2K1DAUB_Aiiju7-ghKQIS96XjSpG16Jbr4BQve6HVIk5OZlDYZk3bER_CtTXdGBW_Wq0D4nZOT5F8UzyhsKdDm1bAd0B8n5bcVULaFegusfVBsKHR1KRoGD4sNMKAlb7v2orhMaQAAVtH2cXFRsbbhNXSb4udb3KujC1GNRHlDck8Xg5_Qz3nHeTsu6DUmEjyxLu2d35GI31U06c7PeyRhmXWYVmOJGmeMXs3uiCQPp3a4tiJJo1fRhURsiGRUcYdkjuHgdD4lZhzTk-KRVWPCp-f1qvj6_t2Xm4_l7ecPn27e3Jaai24usdb5_ra3NVqOwmClO-hUb0DznhrW8B4MNhp021iDHbJem75GgVQLbRW7Kq5PfQ8xfFswzXJyebxxVB7DkiRtRC2Adk3zH7RtGBeCsfspZ8C6WtCVvviHDmHJbzbeKUqBUVZlVZ-UjiGliFYeoptU_CEpyDUBcpDnBMg1ARJqmROQ656fuy_9hOZP1e8vz-DlGaiUX99G5bVLf13bMs47mt3rk8P8GUeHUSbt1iwYF1HP0gR3zyi_AJfv1R8</recordid><startdate>20131015</startdate><enddate>20131015</enddate><creator>Hallwass, Gustavo</creator><creator>Lopes, Priscila F.M.</creator><creator>Juras, Anastácio A.</creator><creator>Silvano, Renato A.M.</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Academic Press Ltd</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>8BJ</scope><scope>C1K</scope><scope>F1W</scope><scope>FQK</scope><scope>H97</scope><scope>JBE</scope><scope>L.G</scope><scope>SOI</scope><scope>7X8</scope><scope>7TG</scope><scope>7U6</scope><scope>H95</scope><scope>KL.</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20131015</creationdate><title>Behavioral and environmental influences on fishing rewards and the outcomes of alternative management scenarios for large tropical rivers</title><author>Hallwass, Gustavo ; Lopes, Priscila F.M. ; Juras, Anastácio A. ; Silvano, Renato A.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-e5c101fbf5ef4e8de2c909abd0c4b1d364b0de6c0c76fde9e3bcdb5e8e1c8cfa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Animals</topic><topic>Applied ecology</topic><topic>Biological and medical sciences</topic><topic>Biomass</topic><topic>Brazil</topic><topic>Brazilian Amazon</topic><topic>Compliance</topic><topic>Conservation</topic><topic>Conservation of Natural Resources</topic><topic>Conservation, protection and management of environment and wildlife</topic><topic>Ecosystem</topic><topic>Exploitation and management of natural biological resources (hunting, fishing and exploited populations survey, etc.)</topic><topic>Fish</topic><topic>Fisheries - economics</topic><topic>Fisheries - methods</topic><topic>Fisheries management</topic><topic>Fishery economics</topic><topic>Fishes</topic><topic>Fishing</topic><topic>Fresh water ecosystems</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Grounds</topic><topic>Human ecology</topic><topic>Humans</topic><topic>Income</topic><topic>Management</topic><topic>Mathematical models</topic><topic>Reward</topic><topic>Rivers</topic><topic>Seasons</topic><topic>Small-scale fisheries</topic><topic>Socioeconomic Factors</topic><topic>Synecology</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hallwass, Gustavo</creatorcontrib><creatorcontrib>Lopes, Priscila F.M.</creatorcontrib><creatorcontrib>Juras, Anastácio A.</creatorcontrib><creatorcontrib>Silvano, Renato A.M.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hallwass, Gustavo</au><au>Lopes, Priscila F.M.</au><au>Juras, Anastácio A.</au><au>Silvano, Renato A.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Behavioral and environmental influences on fishing rewards and the outcomes of alternative management scenarios for large tropical rivers</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2013-10-15</date><risdate>2013</risdate><volume>128</volume><spage>274</spage><epage>282</epage><pages>274-282</pages><issn>0301-4797</issn><eissn>1095-8630</eissn><coden>JEVMAW</coden><abstract>Identifying the factors that influence the amount of fish caught, and thus the fishers' income, is important for proposing or improving management plans. Some of these factors influencing fishing rewards may be related to fishers' behavior, which is driven by economic motivations. Therefore, those management rules that have less of an impact on fishers' income could achieve better acceptance and compliance from fishers. We analyzed the relative influence of environmental and socioeconomic factors on fish catches (biomass) in fishing communities of a large tropical river. We then used the results from this analysis to propose alternative management scenarios in which we predicted potential fishers' compliance (high, moderate and low) based on the extent to which management proposals would affect fish catches and fishers' income. We used a General Linear Model (GLM) to analyze the influence of environmental (fishing community, season and habitat) and socioeconomic factors (number of fishers in the crew, time spent fishing, fishing gear used, type of canoe, distance traveled to fishing grounds) on fish catches (dependent variable) in 572 fishing trips by small-scale fishers in the Lower Tocantins River, Brazilian Amazon. According to the GLM, all factors together accounted for 43% of the variation in the biomass of the fish that were caught. The behaviors of fishers' that are linked to fishing effort, such as time spent fishing (42% of the total explained by GLM), distance traveled to the fishing ground (12%) and number of fishers (10%), were all positively related to the biomass of fish caught and could explain most of the variation on it. The environmental factor of the fishing habitat accounted for 10% of the variation in fish caught. These results, when applied to management scenarios, indicated that some combinations of the management measures, such as selected lakes as no-take areas, restrictions on the use of gillnets (especially during the high-water season) and individual quotas larger than fishers' usual catches, would most likely have less impact on fishers' income. The proposed scenarios help to identify feasible management options, which could promote the conservation of fish, potentially achieving higher fishers' compliance.
•We discuss adequate measures of economic yield in small-scale tropical fisheries.•Fishers' behavior related to fishing effort influenced most the fish catches.•We proposed management scenarios and estimated their outcomes and compliance.•Fishers may better accept those management measures that do not reduce their income.•No-take lakes and individual fishing quotas could be better accepted by fishers.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>23764509</pmid><doi>10.1016/j.jenvman.2013.05.037</doi><tpages>9</tpages></addata></record> |
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subjects | Animal and plant ecology Animal, plant and microbial ecology Animals Applied ecology Biological and medical sciences Biomass Brazil Brazilian Amazon Compliance Conservation Conservation of Natural Resources Conservation, protection and management of environment and wildlife Ecosystem Exploitation and management of natural biological resources (hunting, fishing and exploited populations survey, etc.) Fish Fisheries - economics Fisheries - methods Fisheries management Fishery economics Fishes Fishing Fresh water ecosystems Fundamental and applied biological sciences. Psychology General aspects Grounds Human ecology Humans Income Management Mathematical models Reward Rivers Seasons Small-scale fisheries Socioeconomic Factors Synecology Time Factors |
title | Behavioral and environmental influences on fishing rewards and the outcomes of alternative management scenarios for large tropical rivers |
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