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Can a Species Keep Pace with a Shifting Climate?

Overview of attention for article published in Bulletin of Mathematical Biology, December 2008
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Title
Can a Species Keep Pace with a Shifting Climate?
Published in
Bulletin of Mathematical Biology, December 2008
DOI 10.1007/s11538-008-9367-5
Pubmed ID
Authors

H. Berestycki, O. Diekmann, C. J. Nagelkerke, P. A. Zegeling

Abstract

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Spain 1 1%
United Kingdom 1 1%
Unknown 68 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 29%
Student > Ph. D. Student 20 27%
Professor > Associate Professor 7 10%
Professor 5 7%
Student > Master 4 5%
Other 7 10%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 33%
Environmental Science 14 19%
Mathematics 12 16%
Computer Science 3 4%
Physics and Astronomy 2 3%
Other 6 8%
Unknown 12 16%