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Consequences of ignoring dispersal variation in network models for landscape connectivity
Conservation Biology ( IF 6.3 ) Pub Date : 2021-02-02 , DOI: 10.1111/cobi.13640
Lauren L Sullivan 1, 2 , Matthew J Michalska-Smith 3, 4 , Katie P Sperry 2, 5 , David A Moeller 6 , Allison K Shaw 2
Affiliation  

Habitat loss and fragmentation can negatively impact population persistence and biodiversity, but these effects can be mitigated if species successfully disperse between isolated habitat patches. Network models are the primary tool for quantifying landscape connectivity, yet as practiced, they take an overly simplistic view of species dispersal. These models often ignore individual variation in dispersal ability, assuming all individuals move the same fixed distance with equal probability. Here we develop a modeling approach to address this problem. We incorporate dispersal kernels into network models to determine how individual variation in dispersal alters our understanding of landscape-level connectivity, and test our approach on a fragmented grassland landscape in Minnesota. We show that ignoring dispersal variation consistently overestimates a population's robustness to local extinctions while simultaneously underestimating its robustness to local habitat loss. Furthermore, a simplified view of dispersal underestimates the amount of habitat sub-structure for small populations but overestimates habitat sub-structure for large populations. Our results demonstrate that considering biologically realistic dispersal alters our understanding of landscape connectivity for ecological theory and conservation practice. Article impact statement: Including biologically-meaningful dispersal in network models alters understanding of connectivity between fragmented habitat patches. This article is protected by copyright. All rights reserved.

中文翻译:

忽略景观连通性网络模型中分散变化的后果

栖息地丧失和破碎化会对种群的持久性和生物多样性产生负面影响,但如果物种成功地分散在孤立的栖息地斑块之间,则可以减轻这些影响。网络模型是量化景观连通性的主要工具,但在实践中,它们对物种扩散采取了过于简单的观点。这些模型通常忽略分散能力的个体差异,假设所有个体以相同的概率移动相同的固定距离。在这里,我们开发了一种建模方法来解决这个问题。我们将分散内核纳入网络模型,以确定分散的个体变化如何改变我们对景观级连通性的理解,并在明尼苏达州的碎片化草原景观上测试我们的方法。我们表明,忽略散布变异始终高估了种群对当地灭绝的稳健性,同时低估了其对当地栖息地丧失的稳健性。此外,分散的简化观点低估了小种群的栖息地亚结构的数量,但高估了大种群的栖息地亚结构。我们的研究结果表明,考虑到生物学上的现实扩散会改变我们对生态理论和保护实践的景观连通性的理解。文章影响声明:在网络模型中包含具有生物学意义的扩散会改变对破碎栖息地斑块之间连通性的理解。本文受版权保护。版权所有。对当地灭绝的稳健性,同时低估了其对当地栖息地丧失的稳健性。此外,分散的简化观点低估了小种群的栖息地亚结构的数量,但高估了大种群的栖息地亚结构。我们的研究结果表明,考虑到生物学上的现实扩散会改变我们对生态理论和保护实践的景观连通性的理解。文章影响声明:在网络模型中包含具有生物学意义的扩散会改变对破碎栖息地斑块之间连通性的理解。本文受版权保护。版权所有。对当地灭绝的稳健性,同时低估了其对当地栖息地丧失的稳健性。此外,分散的简化观点低估了小种群的栖息地亚结构的数量,但高估了大种群的栖息地亚结构。我们的研究结果表明,考虑到生物学上的现实扩散会改变我们对生态理论和保护实践的景观连通性的理解。文章影响声明:在网络模型中包含具有生物学意义的扩散会改变对破碎栖息地斑块之间连通性的理解。本文受版权保护。版权所有。分散的简化视图低估了小种群的栖息地亚结构的数量,但高估了大种群的栖息地亚结构。我们的研究结果表明,考虑到生物学上的现实扩散会改变我们对生态理论和保护实践的景观连通性的理解。文章影响声明:在网络模型中包含具有生物学意义的扩散会改变对破碎栖息地斑块之间连通性的理解。本文受版权保护。版权所有。分散的简化视图低估了小种群的栖息地亚结构的数量,但高估了大种群的栖息地亚结构。我们的研究结果表明,考虑到生物学上的现实扩散会改变我们对生态理论和保护实践的景观连通性的理解。文章影响声明:在网络模型中包含具有生物学意义的扩散会改变对破碎栖息地斑块之间连通性的理解。本文受版权保护。版权所有。在网络模型中包含具有生物学意义的扩散会改变对破碎栖息地斑块之间连通性的理解。本文受版权保护。版权所有。在网络模型中包含具有生物学意义的扩散会改变对破碎栖息地斑块之间连通性的理解。本文受版权保护。版权所有。
更新日期:2021-02-02
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