Towards a genetic theory of island biogeography: Inferring processes from multidimensional community‐scale data
Towards a genetic theory of island biogeography: Inferring processes from multidimensional community‐scale data
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DOI:
10.1111/geb.13604
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发表时间:
2022-11
影响因子:
6.4
通讯作者:
I. Overcast;G. Achaz;Robin Aguilée;C. Andújar;P. Arribas;Thomas J. Creedy;E. Economo;R. Etienne;R. Gillespie;C. Jacquet;F. Jay;Susan R. Kennedy;H. Krehenwinkel;A. Lambert;Emmanouil Meramveliotakis;V. Noguerales;Benoît Perez‐Lamarque;G. Roderick;Haldre S. Rogers;Megan Ruffley;I. Sanmartín;A. Vogler;Anna Papadopoulou;B. Emerson;H. Morlon
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文献类型:
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作者:
I. Overcast;G. Achaz;Robin Aguilée;C. Andújar;P. Arribas;Thomas J. Creedy;E. Economo;R. Etienne;R. Gillespie;C. Jacquet;F. Jay;Susan R. Kennedy;H. Krehenwinkel;A. Lambert;Emmanouil Meramveliotakis;V. Noguerales;Benoît Perez‐Lamarque;G. Roderick;Haldre S. Rogers;Megan Ruffley;I. Sanmartín;A. Vogler;Anna Papadopoulou;B. Emerson;H. Morlon
Background: MacArthur and Wilson's theory of island biogeography has been a foun-dation for obtaining testable predictions from models of community assembly and for developing models that integrate across scales and disciplines. Historically, however, ike systems. We highlight the strengths and weaknesses of these existing models, in terms of integrating across organizational levels and predicting realistic multidimensional community data including a genetic component. Finally, we discuss ongoing and potential future efforts to unify models operating at different organizational levels, in order to predict multidimensional community- scale data better.