Large-sample-size assessment of socioeconomic predictors of community-level resource management occurrence |
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Authors: | Tom David Brewer Neil Andrew Bernd Gruber Johnathan Kool |
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Institution: | 1. Australian National Centre for Ocean Resources and Security, University of Wollongong, Wollongong, New South Wales, Australia;2. Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia;3. Independent consultant, Kingston, Tasmania, Australia |
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Abstract: | Community-level resource management efforts are cornerstones in ensuring sustainable use of natural resources. Yet, understanding how community characteristics influence management practices remains contested. With a sample size of ≥725 communities, we assessed the effects of key community (i.e., socioeconomic) characteristics (human population size and density, market integration, and modernization) on the probability of occurrence of fisheries management practices, including gear, species, and spatial restrictions. The study was based in Solomon Islands, a Pacific Island country with a population that is highly dependent on coastal fisheries. People primarily dwell in small communities adjacent to the coastline dispersed across 6 island provinces and numerous smaller islands. We used nationally collected data in binomial logistic regression models to examine the likelihood of management occurrence, given socioeconomic context of communities. In contrast to prevailing views, we identified a positive and statistically significant association between both human population size and market integration and all 3 management practices. Human population density, however, had a statistically significant negative association and modernization a varied and limited association with occurrence of all management practices. Our method offers a way to remotely predict the occurrence of resource management practices based on key socioeconomic characteristics. It could be used to improve understanding of why some communities conduct natural resource management activities when statistical patterns suggest they are not likely to and thus improve understanding of how some communities of people beat the odds despite limited market access and high population density. |
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Keywords: | community-level resource management fisheries human population density management institutions modernization probability of occurrence socioeconomic development densidad poblacional humana desarrollo socioeconómico instituciones de manejo manejo de recursos a nivel comunitario modernización pesquerías probabilidad de incidencia 社区资源管理 渔业 人口密度 管理机构 现代化 社会经济发展 发生概率 |
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