Bounding Seed Loss from Isolated Habitat Patches.

IF 2 4区 数学 Q2 BIOLOGY Bulletin of Mathematical Biology Pub Date : 2024-10-28 DOI:10.1007/s11538-024-01367-0
Benjamin Hafner, Katherine Meyer
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Abstract

Dispersal of propagules (seeds, spores) from a geographically isolated habitat into an uninhabitable matrix can play a decisive role in driving population dynamics. ODE and integrodifference models of these dynamics commonly feature a "dispersal success" parameter representing the average proportion of dispersing propagules that remain in viable habitat. While dispersal success can be estimated by empirical measurements or by integration of dispersal kernels, one may lack resources for fieldwork or details on dispersal kernels for numerical computation. Here we derive simple upper bounds on the proportion of propagule loss-the complement of dispersal success-that require only habitat area, habitat perimeter, and the mean dispersal distance of a propagule. Using vector calculus in a probabilistic framework, we rigorously prove bounds for the cases of both symmetric and asymmetric dispersal. We compare the bounds to simulations of integral models for the population of Asclepias syriaca (common milkweed) at McKnight Prairie-a 14 hectare reserve surrounded by agricultural fields in Goodhue County, Minnesota-and identify conditions under which the bounds closely estimate propagule loss.

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孤立生境斑块种子损失的界限
繁殖体(种子、孢子)从地理上与世隔绝的栖息地扩散到不适宜居住的基质中,对种群动态起着决定性的作用。这些动态的 ODE 模型和积分差分模型通常都有一个 "扩散成功率 "参数,代表留在可生存栖息地的扩散繁殖体的平均比例。虽然扩散成功率可以通过经验测量或整合扩散核来估算,但我们可能缺乏实地考察的资源或数值计算所需的扩散核细节。在这里,我们推导出了繁殖体损失比例的简单上限--即扩散成功的补充--只需要栖息地面积、栖息地周长和繁殖体的平均扩散距离。我们利用概率框架中的矢量微积分,严格证明了对称和非对称扩散情况下的界限。我们将边界与麦克奈特草原(明尼苏达州古德休县农田环绕的 14 公顷保护区)的普通乳草(Asclepias syriaca)种群积分模型模拟结果进行了比较,并确定了在哪些条件下边界可以近似估计繁殖体的损失。
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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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