Yuxin Chen, Eric Allan, Helge Bruelheide, Nico Eisenhauer, Daniela Hoss, Yuanyuan Huang, Forest Isbell, Daijiang Li, Ziyuan Lin, Noémie A Pichon, Yue Qiu, Christiane Roscher, Bernhard Schmid, Ute Schmiedel, Ingmar Staude, Liting Su, Donald M Waller
{"title":"Integrating long-term biodiversity change into biodiversity-ecosystem functioning studies.","authors":"Yuxin Chen, Eric Allan, Helge Bruelheide, Nico Eisenhauer, Daniela Hoss, Yuanyuan Huang, Forest Isbell, Daijiang Li, Ziyuan Lin, Noémie A Pichon, Yue Qiu, Christiane Roscher, Bernhard Schmid, Ute Schmiedel, Ingmar Staude, Liting Su, Donald M Waller","doi":"10.1016/j.tree.2026.09.003","DOIUrl":null,"url":null,"abstract":"<p><p>Biodiversity-ecosystem functioning (BEF) experiments seek to improve predictions of how biodiversity change affects ecosystem functioning. Bridging biodiversity change research with BEF experiments can accelerate these efforts. Diverse observational and experimental approaches for detecting and attributing biodiversity changes offer opportunities to re-analyze data from existing BEF experiments and design new ones. This integration helps us examine the effects of all biodiversity-change scenarios-species loss, gain, and turnover. We propose a mechanistic framework for experiments that manipulate both biodiversity and environmental conditions. The framework reveals how environment-driven biodiversity changes alter ecosystem functioning by identifying how species identity and interactions separately affect ecosystem functions. Integrating the fields of biodiversity change and BEF improves our understanding of the causes and functional consequences of biodiversity change.</p>","PeriodicalId":23274,"journal":{"name":"Trends in ecology & evolution","volume":" ","pages":""},"PeriodicalIF":17.9000,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in ecology & evolution","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.tree.2026.09.003","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Biodiversity-ecosystem functioning (BEF) experiments seek to improve predictions of how biodiversity change affects ecosystem functioning. Bridging biodiversity change research with BEF experiments can accelerate these efforts. Diverse observational and experimental approaches for detecting and attributing biodiversity changes offer opportunities to re-analyze data from existing BEF experiments and design new ones. This integration helps us examine the effects of all biodiversity-change scenarios-species loss, gain, and turnover. We propose a mechanistic framework for experiments that manipulate both biodiversity and environmental conditions. The framework reveals how environment-driven biodiversity changes alter ecosystem functioning by identifying how species identity and interactions separately affect ecosystem functions. Integrating the fields of biodiversity change and BEF improves our understanding of the causes and functional consequences of biodiversity change.
期刊介绍:
Trends in Ecology & Evolution (TREE) is a comprehensive journal featuring polished, concise, and readable reviews, opinions, and letters in all areas of ecology and evolutionary science. Catering to researchers, lecturers, teachers, field workers, and students, it serves as a valuable source of information. The journal keeps scientists informed about new developments and ideas across the spectrum of ecology and evolutionary biology, spanning from pure to applied and molecular to global perspectives. In the face of global environmental change, Trends in Ecology & Evolution plays a crucial role in covering all significant issues concerning organisms and their environments, making it a major forum for life scientists.