Trait-based approaches as ecological time machines: Developing tools for reconstructing long-term variation in ecosystems

IF 4.6 1区环境科学与生态学 Q1 ECOLOGY

Functional Ecology Pub Date : 2023-08-22 DOI:10.1111/1365-2435.14415

Kerry A. Brown, M. Jane Bunting, Fabio Carvalho, Francesco de Bello, Luke Mander, Katarzyna Marcisz, Ondrej Mottl, Triin Reitalu, Jens-Christian Svenning

引用次数: 1

Abstract

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作为生态时间机器的基于特征的方法：开发重建生态系统长期变化的工具

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来源期刊

Functional Ecology 环境科学-生态学

CiteScore

9.00

自引率

1.90%

发文量

243

审稿时长

4 months

期刊介绍： Functional Ecology publishes high-impact papers that enable a mechanistic understanding of ecological pattern and process from the organismic to the ecosystem scale. Because of the multifaceted nature of this challenge, papers can be based on a wide range of approaches. Thus, manuscripts may vary from physiological, genetics, life-history, and behavioural perspectives for organismal studies to community and biogeochemical studies when the goal is to understand ecosystem and larger scale ecological phenomena. We believe that the diverse nature of our journal is a strength, not a weakness, and we are open-minded about the variety of data, research approaches and types of studies that we publish. Certain key areas will continue to be emphasized: studies that integrate genomics with ecology, studies that examine how key aspects of physiology (e.g., stress) impact the ecology of animals and plants, or vice versa, and how evolution shapes interactions among function and ecological traits. Ecology has increasingly moved towards the realization that organismal traits and activities are vital for understanding community dynamics and ecosystem processes, particularly in response to the rapid global changes occurring in earth’s environment, and Functional Ecology aims to publish such integrative papers.