Berestycki H, Diekmann O, Nagelkerke C J, Zegeling P A
Ecole des hautes études en sciences sociales, CAMS, 54 Boulevard Raspail, 75006, Paris, France.
Bull Math Biol. 2009 Feb;71(2):399-429. doi: 10.1007/s11538-008-9367-5. Epub 2008 Dec 9.
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.
考虑一片被不利栖息地包围的适宜栖息地,并假设由于气候变化,这片栖息地在一维空间中以固定速度移动。设这片栖息地上居住着一群进行繁殖、扩散和死亡的个体。该种群会持续存在吗?答案如何取决于栖息地斑块的长度、斑块移动的速度、恒定条件下的净种群增长率以及个体的迁移能力?我们将在一个包含气候变化、种群动态和迁移的简单动态剖面模型的背景下回答这些问题。该模型采用增长扩散方程的形式。我们首先考虑一种特殊情况,并通过拼接相图推导出一个明确的条件。然后,我们通过严格的偏微分方程方法,特别是最大值原理,为一大类模型建立了严格的定性二分法。结果表明,迁移能力既可以降低也可以增强追踪气候变化的能力,狭窄的范围会严重降低这种能力,并且在气候变化的情况下,种群范围和总人口规模都可能增加或减少。还表明,范围转移在扩张前沿可能更容易被检测到,仅仅是因为它比退缩的后端陡峭得多。