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タイトル: A primer of community ecology using the R language
著者: Kadowaki, Kohmei
著者名の別形: 門脇, 浩明
キーワード: density dependence
frequency dependence
the neutral theory
the theory of island biogeography
the tragedy of the commons
発行日: Oct-2023
出版者: Wiley
誌名: Population Ecology
巻: 65
号: 4
開始ページ: 240
終了ページ: 256
抄録: Community ecology beginners often struggle to understand theories expressed in complex mathematical formulas and to master computer programming. To remedy this situation, this article provides a practical, R-based introduction to community ecology by illustrating core concepts (vital rates, carrying capacity, and density dependence) and models that can be used to explore the patterns of species abundance and diversity. The structure of this article consists of three modeling exercises, each asking a general question that can be answered by a combination of theory and R programming: (1) what determines the abundance of species, and what makes a population persist and go extinct?; (2) what determines the distribution of species and species diversity?; (3) what determines the relative abundance of species and what allows species to coexist? Through the exercises, I discuss the following five concepts and ideas that provide valuable insights into the questions: (i) the tragedy of the commons, (ii) the theory of island biogeography, (iii) competitive exclusion, (iv) the neutral theory of biodiversity, and (v) frequency dependence. These materials are thus designed to guide the reader in developing an intuition for ecological thinking that will help capture the essence of the global environmental and biodiversity crisis. Although this article does not delineate the scope and depth of the vast field of community ecology, I hope that it will motivate the reader to step up to a more formal introduction to community ecology.
著作権等: © 2023 The Authors. Population Ecology published by John Wiley & Sons Australia, Ltd on behalf of The Society of Population Ecology.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
URI: http://hdl.handle.net/2433/286798
DOI(出版社版): 10.1002/1438-390X.12158
出現コレクション:学術雑誌掲載論文等

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