气候变化领域集成服务门户(CCPortal): An ecological network approach to predict ecosystem service vulnerability to species losses

CCPortal

DOI	10.1038/s41467-021-21824-x
	An ecological network approach to predict ecosystem service vulnerability to species losses
	Keyes A.A.; McLaughlin J.P.; Barner A.K.; Dee L.E.
发表日期	2021
ISSN	2041-1723
卷号	12 期号:1
英文摘要	Human-driven threats are changing biodiversity, impacting ecosystem services. The loss of one species can trigger secondary extinctions of additional species, because species interact–yet the consequences of these secondary extinctions for services remain underexplored. Herein, we compare robustness of food webs and the ecosystem services (hereafter ‘services’) they provide; and investigate factors determining service responses to secondary extinctions. Simulating twelve extinction scenarios for estuarine food webs with seven services, we find that food web and service robustness are highly correlated, but that robustness varies across services depending on their trophic level and redundancy. Further, we find that species providing services do not play a critical role in stabilizing food webs – whereas species playing supporting roles in services through interactions are critical to the robustness of both food webs and services. Together, our results reveal indirect risks to services through secondary species losses and predictable differences in vulnerability across services. © 2021, The Author(s).
语种	英语
scopus关键词	anthropogenic effect; ecosystem service; food web; risk assessment; trophic level; vulnerability; article; food web; human; trophic level; animal; biodiversity; biological model; bird; climate change; ecosystem; fish; food chain; species extinction; Animals; Biodiversity; Birds; Climate Change; Ecosystem; Extinction, Biological; Fishes; Food Chain; Humans; Models, Biological
来源期刊	Nature Communications
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/251498
作者单位	Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, United States; Depeartment of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA, United States; Department of Biology, Colby College, Waterville, ME, United States
推荐引用方式 GB/T 7714	Keyes A.A.,McLaughlin J.P.,Barner A.K.,et al. An ecological network approach to predict ecosystem service vulnerability to species losses[J],2021,12(1).
APA	Keyes A.A.,McLaughlin J.P.,Barner A.K.,&Dee L.E..(2021).An ecological network approach to predict ecosystem service vulnerability to species losses.Nature Communications,12(1).
MLA	Keyes A.A.,et al."An ecological network approach to predict ecosystem service vulnerability to species losses".Nature Communications 12.1(2021).