Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.gecco.2017.09.004 |
Incorporating population viability models into species status assessment and listing decisions under the US Endangered Species Act | |
McGowan, Conor P.1; Allan, Nathan2; Servoss, Jeff3; Hedwall, Shaula4; Wooldridge, Brian4 | |
通讯作者 | McGowan, Conor P. |
来源期刊 | GLOBAL ECOLOGY AND CONSERVATION
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ISSN | 2351-9894 |
出版年 | 2017 |
卷号 | 12页码:119-130 |
英文摘要 | Assessment of a species’ status is a key part of management decision making for endangered and threatened species under the U.S. Endangered Species Act. Predicting the future state of the species is an essential part of species status assessment, and projection models can play an important role in developing predictions. We built a stochastic simulation model that incorporated parametric and environmental uncertainty to predict the probable future status of the Sonoran desert tortoise in the southwestern United States and North Central Mexico. Sonoran desert tortoise was a Candidate species for listing under the Endangered Species Act, and decision makers wanted to use model predictions in their decision making process. The model accounted for future habitat loss and possible effects of climate change induced droughts to predict future population growth rates, abundances, and quasi-extinction probabilities. Our model predicts that the population will likely decline over the next few decades, but there is very low probability of quasi-extinction less than 75 years into the future. Increases in drought frequency and intensity may increase extinction risk for the species. Our model helped decision makers predict and characterize uncertainty about the future status of the species in their listing decision. We incorporated complex ecological processes (e.g., climate change effects on tortoises) in transparent and explicit ways tailored to support decision making processes related to endangered species. Published by Elsevier B.V. |
英文关键词 | Climate effects on viability Endangered species listing decisions Parametric uncertainty Sensitivity analysis Sonora desert tortoise |
类型 | Article |
语种 | 英语 |
国家 | USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000426355300011 |
WOS关键词 | RECOVERY CRITERIA ; EXTINCTION ; SURVIVAL ; CLIMATE ; RARE |
WOS类目 | Biodiversity Conservation ; Ecology |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
来源机构 | United States Geological Survey |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/199383 |
作者单位 | 1.Auburn Univ, US Geol Survey, Alabama Cooperat Fish & Wildlife Res Unit, Auburn, AL 36849 USA; 2.US Fish & Wildlife Serv Southwest Reg, Ecol Serv, Austin, TX 78613 USA; 3.US Fish & Wildlife Serv, Arizona Ecol Serv Off, Tucson, AZ 85745 USA; 4.US Fish & Wildlife Serv, Arizona Ecol Serv Off, Flagstaff, AZ 86001 USA |
推荐引用方式 GB/T 7714 | McGowan, Conor P.,Allan, Nathan,Servoss, Jeff,et al. Incorporating population viability models into species status assessment and listing decisions under the US Endangered Species Act[J]. United States Geological Survey,2017,12:119-130. |
APA | McGowan, Conor P.,Allan, Nathan,Servoss, Jeff,Hedwall, Shaula,&Wooldridge, Brian.(2017).Incorporating population viability models into species status assessment and listing decisions under the US Endangered Species Act.GLOBAL ECOLOGY AND CONSERVATION,12,119-130. |
MLA | McGowan, Conor P.,et al."Incorporating population viability models into species status assessment and listing decisions under the US Endangered Species Act".GLOBAL ECOLOGY AND CONSERVATION 12(2017):119-130. |
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