کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6369939 1623840 2015 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dispersal evolution and resource matching in a spatially and temporally variable environment
ترجمه فارسی عنوان
انطباق تکاملی و تطبیق منابع در یک محیط فضایی و متغیر
کلمات کلیدی
استراتژی پایدار همگرایی، پراکندگی وابسته به محیط زیست، توزیع آزاد ایده آل، افراد توزیع × ³، افراد جریان × ×
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی
Metapopulations may consist of patches of different quality, and are often disturbed by extrinsic processes causing variation of patch quality. The persistence of such metapopulations then depends on the species׳ dispersal strategy. In a temporally constant environment, the evolution of dispersal rates follows the resource matching rule, i.e. at the evolutionarily stable dispersal strategy the number of competitors in each patch matches the resource availability in each patch. Here, we investigate how the distribution of individuals resulting from convergence stable dispersal strategies would match the distribution of resources in an environment which is temporally variable due to extrinsic disturbance. We develop an analytically tractable asexual model with two qualities of patches. We show that convergence stable dispersal rates are such that resource matching is predicted in expectation before habitat quality variation, and that the distribution of individuals undermatches resources after habitat quality variation. The overall flow of individuals between patches matches the overall flow of resources between patches resulting from environmental variation. We show that these conclusions can be generalized to organisms with sexual reproduction, and to a metapopulation with three qualities of patches when there is no mutational correlation between dispersal rates.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 370, 7 April 2015, Pages 184-196
نویسندگان
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