Arid
DOI10.1016/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
ISSN2351-9894
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[McGowan, Conor P.]的文章
[Allan, Nathan]的文章
[Servoss, Jeff]的文章
百度学术
百度学术中相似的文章
[McGowan, Conor P.]的文章
[Allan, Nathan]的文章
[Servoss, Jeff]的文章
必应学术
必应学术中相似的文章
[McGowan, Conor P.]的文章
[Allan, Nathan]的文章
[Servoss, Jeff]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。