选择运动规则以模拟镶嵌景观模型中的物种扩散

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
Susannah Gold, Simon Croft, Richard Budgey, James Aegerter
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引用次数: 0

摘要

扩散是种群动态的一个核心生态过程,是种群之间和跨地貌的最重要的移动行为之一。在陆生脊椎动物的空间种群模型中,当考虑疾病或入侵物种的传播时,捕捉和描述可信的扩散行为尤为重要。散布者所走距离的分布或散布核通常是高度倾斜的,大多数个体会留在其原产地附近,但也有一些个体会走得更远。利用机理模型模拟个体的扩散行为,可以将扩散核作为一种新兴属性生成。通过逐步模拟整个运动路径,模型还能解释当地环境的影响,以及扩散过程中可能传播疾病的接触。在这项研究中,我们探索了一系列简单的规则,以模拟使用不规则几何生成的镶嵌模型中的个体扩散行为。运动规则说明了有限范围内的行为假设,当应用于这些简单的合成景观时,产生了广泛的新兴内核。我们发现,在模拟不规则镶嵌景观的扩散时,可以出现自然的核心。鉴于在物种内部观察到的分散距离的差异性,我们的结果突出了考虑地貌异质性和个体水平的运动变化的重要性,而近似于随机漫步的简单规则所提供的新兴内核的可信度较低。作为案例研究,我们展示了如何通过与研究物种(赤狐)的经验内核进行比较来选择规则集。这些结果为在基于空间代理的模型中选择代表散布的运动规则提供了基础,但是,我们也强调有必要根据特定物种的行为和所选景观对规则进行确证,以避免这些规则可能导致预测偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selection of movement rules to simulate species dispersal in a mosaic landscape model

Dispersal is an ecological process central to population dynamics, describing one of the most important movement behaviours between populations and across landscapes. In spatial population models for terrestrial vertebrates, capturing and portraying plausible dispersal behaviour is of particular importance when considering the spread of disease or invasive species. The distribution of distances travelled by dispersers, or the dispersal kernel, is typically highly skewed, with most individuals remaining close to their origin but some travelling substantially further. Using mechanistic models to simulate individual dispersal behaviour, the dispersal kernel can be generated as an emergent property. Through stepwise simulation of the entire movement path, models can also account for the influence of the local environment, and contacts during the dispersal event which may spread disease. In this study, we explore a range of simple rules to emulate individual dispersal behaviour within a mosaic model generated using irregular geometry. Movement rules illustrate a limited range of behavioural assumptions and when applied across these simple synthetic landscapes generated a wide range of emergent kernels. We establish that naturalistic kernels can emerge when simulating dispersal across irregular mosaic landscapes. Given the variability in dispersal distances observed within species, our results highlight the importance of considering landscape heterogeneity and individual-level variation in movement, with simpler rules approximating random walks providing less plausible emergent kernels. As a case study, we demonstrate how rule sets can be selected by comparison to an empirical kernel for a study species (red fox; Vulpes vulpes). These results provide a foundation for the selection of movement rules to represent dispersal in spatial agent-based models, however, we also emphasise the need to corroborate rules against the behaviour of specific species and within chosen landscapes to avoid the potential for these rules to bias predictions.

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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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