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DOI10.1016/j.jenvman.2019.01.022
Assessing the cumulative exposure of wildlife to offshore wind energy development
Goodale, M. Wing1,2; Milman, Anita1
发表日期2019
ISSN0301-4797
EISSN1095-8630
卷号235页码:77-83
英文摘要

Governments and developers are pursuing offshore wind energy to address climate change, but multiple wind farms may cumulatively affect wildlife populations. Assessments of cumulative effects must first calculate the cumulative exposure of a wildlife population to a hazard and then estimate how the exposure will affect the population. Our research responds to the first need by developing a model designed to assess how different wind farm siting scenarios cumulatively expose wildlife. The model assesses cumulative exposure by identifying all locations where development could occur, placing wind farms within this suitability layer, and then overlaying wind engineering and biological data sets. The first model output is a graphical representation of how offshore wind farm siting decisions affect wildlife cumulative exposure. The second output is an index that ranks which offshore wind farm siting decisions will have the greatest influence on wildlife cumulative exposure. Together these outputs provide stakeholders with valuable information that could be used to guide siting and management decisions.


WOS研究方向Environmental Sciences & Ecology
来源期刊JOURNAL OF ENVIRONMENTAL MANAGEMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/96135
作者单位1.Univ Massachusetts, Dept Environm Conservat, 210 Holdsworth Hall, Amherst, MA 01003 USA;
2.Biodivers Res Inst, 276 Canco Rd, Portland, ME 04103 USA
推荐引用方式
GB/T 7714
Goodale, M. Wing,Milman, Anita. Assessing the cumulative exposure of wildlife to offshore wind energy development[J],2019,235:77-83.
APA Goodale, M. Wing,&Milman, Anita.(2019).Assessing the cumulative exposure of wildlife to offshore wind energy development.JOURNAL OF ENVIRONMENTAL MANAGEMENT,235,77-83.
MLA Goodale, M. Wing,et al."Assessing the cumulative exposure of wildlife to offshore wind energy development".JOURNAL OF ENVIRONMENTAL MANAGEMENT 235(2019):77-83.
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