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The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

β-Diversity, Community Assembly, and Ecosystem Functioning

Open access
Mori, Akira S., Isbell, Forest, Seidl, Rupert·2018·Trends in Ecology & Evolution

Abstract

Evidence is increasing for positive effects of α-diversity on ecosystem functioning. We highlight here the crucial role of β-diversity – a hitherto underexplored facet of biodiversity – for a better process-level understanding of biodiversity change and its consequences for ecosystems. A focus on β-diversity has the potential to improve predictions of natural and anthropogenic influences on diversity and ecosystem functioning. However, linking the causes and consequences of biodiversity change is complex because species assemblages in nature are shaped by many factors simultaneously, including disturbance, environmental heterogeneity, deterministic niche factors, and stochasticity. Because variability and change are ubiquitous in ecosystems, acknowledging these inherent properties of nature is an essential step for further advancing scientific knowledge of biodiversity–ecosystem functioning in theory and practice.

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Crossref · 10.1016/j.tree.2018.04.012

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Metadata

Authors
Mori, A. S., Isbell, F., & Seidl, R.
Venue
Trends in Ecology & Evolution
Publisher
Elsevier BV
Published
2018-07
Volume
33
Issue
7
Pages
549-564
ISSN
0169-5347 (ISSN-L)
OpenAlex
W2803201741
Cited by
731
References
18
FWCI
4.47
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: β-Diversity, Community Assembly, and Ecosystem Functioning. https://app.cochat.ai/papers/10.1016/j.tree.2018.04.012
The paper
Mori, A. S., Isbell, F., & Seidl, R. (2018). β-Diversity, Community Assembly, and Ecosystem Functioning. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2018.04.012

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.