利用性状整合跨生态系统过程中物种混合的非加性效应

IF 5.6 1区 环境科学与生态学 Q1 ECOLOGY
Chao Guo, Jasper van Ruijven, Oscar Franken, Saori Fujii, Matty P. Berg, David A. Wardle, J. Hans C. Cornelissen
{"title":"利用性状整合跨生态系统过程中物种混合的非加性效应","authors":"Chao Guo, Jasper van Ruijven, Oscar Franken, Saori Fujii, Matty P. Berg, David A. Wardle, J. Hans C. Cornelissen","doi":"10.1111/1365-2745.70169","DOIUrl":null,"url":null,"abstract":"<jats:list> <jats:list-item>Whether and how biodiversity affects ecosystem functioning has long been hotly debated in ecological research and conservation. Important in this debate is how interactions between species in a community lead to non‐additive effects (i.e. effects that deviate from predictions based on the effects of each single species) on ecosystem processes. Such non‐additivity has been widely reported for individual processes, for example productivity, decomposition, fire, herbivory or pollination.</jats:list-item> <jats:list-item>However, species in a community are simultaneously involved in multiple ecosystem processes. We therefore propose a trait‐based conceptual approach to connect non‐additive effects based on species interactions across different specific ecosystem processes and illustrate its potential. The approach involves plotting the direction and strength of non‐additivity due to species interaction effects for any given ecosystem process against the values of relevant predictive traits for all possible pairs of species considered in a community.</jats:list-item> <jats:list-item><jats:italic>Synthesis</jats:italic>: We show how to compare the non‐additivity patterns for different ecosystem processes using similar ‘currency’ and how to link these to the main effects of the same species on these ecosystem processes. This way the species' effects on higher‐level ecosystem functioning (e.g. carbon cycling), in present and future environmental scenarios, can be better quantified. The conceptual framework requires empirical testing and incorporation of relevant environmental factors.</jats:list-item> </jats:list>","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"40 1","pages":""},"PeriodicalIF":5.6000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using traits to integrate non‐additive effects of species mixtures across ecosystem processes\",\"authors\":\"Chao Guo, Jasper van Ruijven, Oscar Franken, Saori Fujii, Matty P. Berg, David A. Wardle, J. Hans C. Cornelissen\",\"doi\":\"10.1111/1365-2745.70169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<jats:list> <jats:list-item>Whether and how biodiversity affects ecosystem functioning has long been hotly debated in ecological research and conservation. Important in this debate is how interactions between species in a community lead to non‐additive effects (i.e. effects that deviate from predictions based on the effects of each single species) on ecosystem processes. Such non‐additivity has been widely reported for individual processes, for example productivity, decomposition, fire, herbivory or pollination.</jats:list-item> <jats:list-item>However, species in a community are simultaneously involved in multiple ecosystem processes. We therefore propose a trait‐based conceptual approach to connect non‐additive effects based on species interactions across different specific ecosystem processes and illustrate its potential. The approach involves plotting the direction and strength of non‐additivity due to species interaction effects for any given ecosystem process against the values of relevant predictive traits for all possible pairs of species considered in a community.</jats:list-item> <jats:list-item><jats:italic>Synthesis</jats:italic>: We show how to compare the non‐additivity patterns for different ecosystem processes using similar ‘currency’ and how to link these to the main effects of the same species on these ecosystem processes. This way the species' effects on higher‐level ecosystem functioning (e.g. carbon cycling), in present and future environmental scenarios, can be better quantified. The conceptual framework requires empirical testing and incorporation of relevant environmental factors.</jats:list-item> </jats:list>\",\"PeriodicalId\":191,\"journal\":{\"name\":\"Journal of Ecology\",\"volume\":\"40 1\",\"pages\":\"\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Ecology\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1111/1365-2745.70169\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ecology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1111/1365-2745.70169","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

生物多样性是否以及如何影响生态系统功能一直是生态学研究和保护领域争论的热点问题。在这场争论中,重要的是群落中物种之间的相互作用如何导致对生态系统过程的非加性影响(即偏离基于每个单一物种影响的预测的影响)。这种非加性已被广泛报道用于个别过程,例如生产力、分解、火、草食或授粉。然而,一个群落中的物种同时参与多个生态系统过程。因此,我们提出了一种基于性状的概念方法来连接基于不同特定生态系统过程中物种相互作用的非加性效应,并说明其潜力。该方法包括绘制任何给定生态系统过程中由于物种相互作用效应而导致的非加性的方向和强度,以及一个群落中所有可能的物种对的相关预测性状的值。综合:我们展示了如何使用类似的“货币”来比较不同生态系统过程的非可加性模式,以及如何将这些模式与同一物种对这些生态系统过程的主要影响联系起来。通过这种方式,可以更好地量化物种在当前和未来环境情景中对高级生态系统功能(例如碳循环)的影响。概念框架需要经验检验和纳入有关的环境因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using traits to integrate non‐additive effects of species mixtures across ecosystem processes
Whether and how biodiversity affects ecosystem functioning has long been hotly debated in ecological research and conservation. Important in this debate is how interactions between species in a community lead to non‐additive effects (i.e. effects that deviate from predictions based on the effects of each single species) on ecosystem processes. Such non‐additivity has been widely reported for individual processes, for example productivity, decomposition, fire, herbivory or pollination. However, species in a community are simultaneously involved in multiple ecosystem processes. We therefore propose a trait‐based conceptual approach to connect non‐additive effects based on species interactions across different specific ecosystem processes and illustrate its potential. The approach involves plotting the direction and strength of non‐additivity due to species interaction effects for any given ecosystem process against the values of relevant predictive traits for all possible pairs of species considered in a community. Synthesis: We show how to compare the non‐additivity patterns for different ecosystem processes using similar ‘currency’ and how to link these to the main effects of the same species on these ecosystem processes. This way the species' effects on higher‐level ecosystem functioning (e.g. carbon cycling), in present and future environmental scenarios, can be better quantified. The conceptual framework requires empirical testing and incorporation of relevant environmental factors.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Ecology
Journal of Ecology 环境科学-生态学
CiteScore
10.90
自引率
5.50%
发文量
207
审稿时长
3.0 months
期刊介绍: Journal of Ecology publishes original research papers on all aspects of the ecology of plants (including algae), in both aquatic and terrestrial ecosystems. We do not publish papers concerned solely with cultivated plants and agricultural ecosystems. Studies of plant communities, populations or individual species are accepted, as well as studies of the interactions between plants and animals, fungi or bacteria, providing they focus on the ecology of the plants. We aim to bring important work using any ecological approach (including molecular techniques) to a wide international audience and therefore only publish papers with strong and ecological messages that advance our understanding of ecological principles.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信