Can a species keep pace with a shifting climate?
Autor: | Odo Diekmann, C. J. Nagelkerke, Paul Andries Zegeling, Henri Berestycki |
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Přispěvatelé: | Evolutionary Biology (IBED, FNWI) |
Jazyk: | angličtina |
Rok vydání: | 2009 |
Předmět: |
Mathematics(all)
Computer science General Mathematics Acclimatization Climate Neuroscience(all) Population Population Dynamics Immunology Climate change Integrodifference equation Context (language use) Extinction Biological Reaction–diffusion equation Models Biological General Biochemistry Genetics and Molecular Biology Persistence Maximum principle Environmental Science(all) Econometrics Population growth Animals Humans Special case education Simulation Ecosystem General Environmental Science Population Density Pharmacology education.field_of_study Extinction Models Statistical Agricultural and Biological Sciences(all) Biochemistry Genetics and Molecular Biology(all) General Neuroscience Co-moving population profile Traveling wave Moving favorable patch Computational Theory and Mathematics Animal Migration Original Article Principal eigenvalue General Agricultural and Biological Sciences |
Zdroj: | Bulletin of Mathematical Biology Bulletin of Mathematical Biology, 71(2), 399-429. Springer New York |
ISSN: | 0092-8240 |
DOI: | 10.1007/s11538-008-9367-5 |
Popis: | Consider a patch of favorable habitat surrounded by unfavorable habitat and assume that due to a shifting climate, the patch moves with a fixed speed in a one-dimensional universe. Let the patch be inhabited by a population of individuals that reproduce, disperse, and die. Will the population persist? How does the answer depend on the length of the patch, the speed of movement of the patch, the net population growth rate under constant conditions, and the mobility of the individuals? We will answer these questions in the context of a simple dynamic profile model that incorporates climate shift, population dynamics, and migration. The model takes the form of a growth-diffusion equation. We first consider a special case and derive an explicit condition by glueing phase portraits. Then we establish a strict qualitative dichotomy for a large class of models by way of rigorous PDE methods, in particular the maximum principle. The results show that mobility can both reduce and enhance the ability to track climate change that a narrow range can severely reduce this ability and that population range and total population size can both increase and decrease under a moving climate. It is also shown that range shift may be easier to detect at the expanding front, simply because it is considerably steeper than the retreating back. |
Databáze: | OpenAIRE |
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