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DOI: 10.1371/journal.pone.0146543
论文题名:
Limitations to the Use of Species-Distribution Models for Environmental-Impact Assessments in the Amazon
作者: Lorena Ribeiro de A. Carneiro; Albertina P. Lima; Ricardo B. Machado; William E. Magnusson
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2016
发表日期: 2016-1-19
卷: 11, 期:1
语种: 英语
英文关键词: Conservation science ; Extrapolation ; Biodiversity ; Brazil ; Flooding ; Frogs ; Historical geography ; Phylogeography
英文摘要: Species-distribution models (SDM) are tools with potential to inform environmental-impact studies (EIA). However, they are not always appropriate and may result in improper and expensive mitigation and compensation if their limitations are not understood by decision makers. Here, we examine the use of SDM for frogs that were used in impact assessment using data obtained from the EIA of a hydroelectric project located in the Amazon Basin in Brazil. The results show that lack of knowledge of species distributions limits the appropriate use of SDM in the Amazon region for most target species. Because most of these targets are newly described and their distributions poorly known, data about their distributions are insufficient to be effectively used in SDM. Surveys that are mandatory for the EIA are often conducted only near the area under assessment, and so models must extrapolate well beyond the sampled area to inform decisions made at much larger spatial scales, such as defining areas to be used to offset the negative effects of the projects. Using distributions of better-known species in simulations, we show that geographical-extrapolations based on limited information of species ranges often lead to spurious results. We conclude that the use of SDM as evidence to support project-licensing decisions in the Amazon requires much greater area sampling for impact studies, or, alternatively, integrated and comparative survey strategies, to improve biodiversity sampling. When more detailed distribution information is unavailable, SDM will produce results that generate uncertain and untestable decisions regarding impact assessment. In many cases, SDM is unlikely to be better than the use of expert opinion.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0146543&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/25151
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Programa de Pós-Graduação em Ecologia, Instituto Nacional de Pesquisas da Amazônia, Manaus, Amazonas, Brazil;Programa de Pós-Graduação em Ecologia, Instituto Nacional de Pesquisas da Amazônia, Manaus, Amazonas, Brazil;Departamento de Zoologia, Universidade de Brasília, Brasília, Distrito Federal, Brazil;Programa de Pós-Graduação em Ecologia, Instituto Nacional de Pesquisas da Amazônia, Manaus, Amazonas, Brazil

Recommended Citation:
Lorena Ribeiro de A. Carneiro,Albertina P. Lima,Ricardo B. Machado,et al. Limitations to the Use of Species-Distribution Models for Environmental-Impact Assessments in the Amazon[J]. PLOS ONE,2016-01-01,11(1)
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