Time is of the essence: A general framework for uncovering temporal structures of communities

被引:4
作者
Yin, Hannah [1 ]
Rudolf, Volker H. W. [1 ]
机构
[1] Rice Univ, Program Ecol & Evolutionary Biol, BioSci, Houston, TX 77251 USA
基金
美国国家科学基金会;
关键词
biodiversity; community metrics; networks; phenological shifts; temporal ecology; time series; SPECIES COOCCURRENCE NETWORKS; FOOD-WEB STRUCTURE; CLIMATE-CHANGE; TROPHIC INTERACTIONS; ECOLOGICAL NETWORKS; PHENOLOGY; COEXISTENCE; SUCCESSION; STABILITY; SHIFTS;
D O I
10.1111/ele.14481
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Ecological communities are inherently dynamic: species constantly turn over within years, months, weeks or even days. These temporal shifts in community composition determine essential aspects of species interactions and how energy, nutrients, information, diseases and perturbations 'flow' through systems. Yet, our understanding of community structure has relied heavily on static analyses not designed to capture critical features of this dynamic temporal dimension of communities. Here, we propose a conceptual and methodological framework for quantifying and analysing this temporal dimension. Conceptually, we split the temporal structure into two definitive features, sequence and duration, and review how they are linked to key concepts in ecology. We then outline how we can capture these definitive features using perspectives and tools from temporal graph theory. We demonstrate how we can easily integrate ongoing research on phenology into this framework and highlight what new opportunities arise from this approach to answer fundamental questions in community ecology. As climate change reshuffles ecological communities worldwide, quantifying the temporal organization of communities is imperative to resolve the fundamental processes that shape natural ecosystems and predict how these systems may change in the future. Ecological communities are inherently dynamic. Yet, our understanding of community structure has relied heavily on static approaches that do not capture key features of this dynamic temporal dimension of communities. Here, we propose a conceptual and methodological framework for quantifying and analysing this temporal dimension and highlight how we can use it to answer fundamental questions in community ecology.image
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页数:18
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