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增加 (使)连接(关系), (使)联合(metapopulation 生态与景观生态学)。

Increasing connectivity between metapopulation ecology and landscape ecology.

机构信息

Warnell School of Forestry and Natural Resources, University of Georgia, Athens, Georgia, 30602, USA.

U.S. Geological Survey, Fort Collins Science Center, Fort Collins, Colorado, 80526, USA.

出版信息

Ecology. 2018 May;99(5):1119-1128. doi: 10.1002/ecy.2189. Epub 2018 Mar 25.

Abstract

Metapopulation ecology and landscape ecology aim to understand how spatial structure influences ecological processes, yet these disciplines address the problem using fundamentally different modeling approaches. Metapopulation models describe how the spatial distribution of patches affects colonization and extinction, but often do not account for the heterogeneity in the landscape between patches. Models in landscape ecology use detailed descriptions of landscape structure, but often without considering colonization and extinction dynamics. We present a novel spatially explicit modeling framework for narrowing the divide between these disciplines to advance understanding of the effects of landscape structure on metapopulation dynamics. Unlike previous efforts, this framework allows for statistical inference on landscape resistance to colonization using empirical data. We demonstrate the approach using 11 yr of data on a threatened amphibian in a desert ecosystem. Occupancy data for Lithobates chiricahuensis (Chiricahua leopard frog) were collected on the Buenos Aires National Wildlife Refuge (BANWR), Arizona, USA from 2007 to 2017 following a reintroduction in 2003. Results indicated that colonization dynamics were influenced by both patch characteristics and landscape structure. Landscape resistance increased with increasing elevation and distance to the nearest streambed. Colonization rate was also influenced by patch quality, with semi-permanent and permanent ponds contributing substantially more to the colonization of neighboring ponds relative to intermittent ponds. Ponds that only hold water intermittently also had the highest extinction rate. Our modeling framework can be widely applied to understand metapopulation dynamics in complex landscapes, particularly in systems in which the environment between habitat patches influences the colonization process.

摘要

复合种群生态学和景观生态学旨在了解空间结构如何影响生态过程,但这两个学科使用根本不同的建模方法来解决这个问题。复合种群模型描述了斑块的空间分布如何影响定居和灭绝,但通常不考虑斑块之间景观的异质性。景观生态学中的模型使用了对景观结构的详细描述,但通常不考虑定居和灭绝动态。我们提出了一个新的空间显式建模框架,旨在缩小这两个学科之间的差距,以提高对景观结构对复合种群动态影响的理解。与以前的努力不同,这个框架允许使用经验数据对景观对定居的阻力进行统计推断。我们使用美国亚利桑那州布埃纳维斯塔国家野生动物保护区(BANWR)的 11 年濒危两栖动物数据来演示该方法。2003 年重新引入后,2007 年至 2017 年期间在美国亚利桑那州布埃纳维斯塔国家野生动物保护区(BANWR)收集了 Lithobates chiricahuensis(Chiricahua 豹蛙)的占有数据。结果表明,定居动态受到斑块特征和景观结构的共同影响。景观阻力随海拔升高和与最近溪流的距离增加而增加。定居率也受到斑块质量的影响,半永久性和永久性池塘相对于间歇性池塘对相邻池塘的定居贡献更大。仅间歇性蓄水的池塘灭绝率也最高。我们的建模框架可以广泛应用于理解复杂景观中的复合种群动态,特别是在环境对定居过程有影响的系统中。

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