气候变化领域集成服务门户(CCPortal): Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning

CCPortal

DOI	10.1073/pnas.2022757118
	Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning
	Wolf A.A.; Funk J.L.; Selmants P.C.; Morozumi C.N.; Hernández D.L.; Pasari J.R.; Zavaleta E.S.
发表日期	2021
ISSN	0027-8424
卷号	118 期号:26
英文摘要	Biodiversity losses are a major driver of global changes in ecosystem functioning. While most studies of the relationship between biodiversity and ecosystem functioning have examined randomized species losses, trait-based filtering associated with species-specific vulnerability to drivers of diversity loss can strongly influence how ecosystem functioning responds to declining biodiversity. Moreover, the responses of ecosystem functioning to diversity loss may be mediated by environmental variability interacting with the suite of traits remaining in depauperate communities. We do not yet understand how communities resulting from realistic diversity losses (filtered by response traits) influence ecosystem functioning (via effect traits of the remaining community), especially under variable environmental conditions. Here, we directly test how realistic and randomized plant diversity losses influence productivity and invasion resistance across multiple years in a California grassland. Compared with communities based on randomized diversity losses, communities resulting from realistic (drought-driven) species losses had higher invasion resistance under climatic conditions that matched the trait-based filtering they experienced. However, productivity declined more with realistic than with randomized species losses across all years, regardless of climatic conditions. Functional response traits aligned with effect traits for productivity but not for invasion resistance. Our findings illustrate that the effects of biodiversity losses depend not only on the identities of lost species but also on how the traits of remaining species interact with varying environmental conditions. Understanding the consequences of biodiversity change requires studies that evaluate trait-mediated effects of species losses and incorporate the increasingly variable climatic conditions that future communities are expected to experience. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Ecosystem function; Environmental heterogeneity; Invasion; Productivity; Realistic biodiversity loss
语种	英语
scopus关键词	article; biodiversity; California; climate; controlled study; drought; filtration; grassland; human; productivity; randomized controlled trial
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/238498
作者单位	Department of Integrative Biology, University of Texas at Austin, Austin, TX 78705, United States; Department of Plant Sciences, University of California, Davis, CA 95616, United States; Western Geographic Science Center, US Geological Survey, Moffett Field, CA 94035, United States; Population Biology, Ecology, and Evolution Program, Emory University, Atlanta, GA 30322, United States; Department of Biology, Carleton College, Northfield, MN 55057, United States; Environmental Science and Management, Portland State University, Portland, OR 97201, United States; Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064, United States
推荐引用方式 GB/T 7714	Wolf A.A.,Funk J.L.,Selmants P.C.,et al. Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning[J],2021,118(26).
APA	Wolf A.A..,Funk J.L..,Selmants P.C..,Morozumi C.N..,Hernández D.L..,...&Zavaleta E.S..(2021).Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning.Proceedings of the National Academy of Sciences of the United States of America,118(26).
MLA	Wolf A.A.,et al."Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning".Proceedings of the National Academy of Sciences of the United States of America 118.26(2021).