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Cited by 1,590

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Pattern and Process in Macroecology

·2000·Wiley eBooks

Abstract

© 2000 by Blackwell Science Ltd. All rights reserved. Issues of scale have become increasingly important to ecologists. This book addresses the structure of regional (large-scale) ecological assemblages or communities, and the influence this has at a local (small-scale) level. This macroecological perspective is essential for the broader study of ecology because the structure and function of local communities cannot be properly understood without reference to the region in which they are situated. The book reviews and synthesizes the issues of current importance in macroecology, providing a balanced summary of the field that will be useful for biologists at advanced undergraduate level and above. These general issues are illustrated by frequent reference to specific well-studied local and regional assemblages -- an approach that serves to relate the macroecological perspective (which is perhaps often difficult to comprehend) to the everyday experience of local sites. Macroecology is an expanding and dynamic discipline. The broad aim of the book is to promote an understanding of why it is such an important part of the wider program of research into ecology. Summarises the current macroecological literature. Provides numerous examples of key patterns. Explicitly links local and regional scale processes. Exploits detailed knowledge of one species assemblage to explore broad issues in the structuring of biodiversity.

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Crossref · 10.1002/9780470999592

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Metadata

Venue
Wiley eBooks
Publisher
Wiley
Published
2000-09-18
OpenAlex
W1507156144
Cited by
1,590
References
3
FWCI
40.82
Type
book
Language
en
Open access
closed
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm)

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CoChat. (2026). Citation check: Pattern and Process in Macroecology. https://app.cochat.ai/papers/10.1002/9780470999592
The paper
Pattern and Process in Macroecology. (2000). Wiley eBooks. https://doi.org/10.1002/9780470999592

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.