Predicting species distribution from fishers’ local ecological knowledge: a new alternative for data-poor management
Predicting species distribution from fishers’ local ecological knowledge: a new alternative for data-poor management
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根据渔民的当地生态知识预测物种分布：数据匮乏管理的新替代方案
DOI：
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发表时间：
2019
影响因子：
2.4
通讯作者：
M. Pennino
中科院分区：
文献类型：
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作者：
P. Lopes;J. T. Verba;A. Begossi;M. Pennino
许多发展中国家缺乏管理其濒危物种的信息，迫切需要负担得起和可靠的信息。我们使用贝叶斯分层空间模型，结合海洋学变量，预测了整个西南大西洋的边缘石斑鱼（Epinephelus marginatus）分布范围。我们使用从文献中收集的科学信息运行了一个模型，另一个使用从渔民那里收集的物种存在或不存在的信息。在这两个模型中，温度是物种发生的重要决定因素。尽管在分布的南北两端有微小的差异，但两种模型对黑石斑鱼的预测结果有很大的重合（Schoener的D = 0.71； Warren的I = 0.91）。这些结果表明，渔民提供的关于其区域内物种发生的基本信息足够可靠，可以预测大尺度上的物种发生，并可能对海洋空间规划有用。对于那些既面临财政限制又有迫切保护需求的国家来说，渔民的知识可能是比以前认为的更可行的数据收集替代方案。
Many developing countries lack information to manage their endangered species, urging the need for affordable and reliable information. We used Bayesian hierarchical spatial models, with oceanographic variables, to predict the distribution range of Epinephelus marginatus, the dusky grouper, for the entire Southwest Atlantic. We ran a model using scientific information gathered from the literature and another using information gathered from fishers on species presence or absence. In both models, temperature was an important determinant of species occurrence. The predicted occurrence of the dusky grouper overlapped widely (Schoener’s D = 0.71; Warren’s I = 0.91) between the models, despite small differences on the southern and northern extremes of the distribution. These results suggest that basic information provided by fishers on species occurrence in their area can be reliable enough to predict species occurrence over large scales and can be potentially useful for marine spatial planning. Fishers’ knowledge may be an even more viable alternative to data collection than what was previously thought, for countries that both struggle with financial limitations and have urgent conservation needs.