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源 - 汇动态的内在和外在驱动因素。

Intrinsic and extrinsic drivers of source-sink dynamics.

作者信息

Heinrichs Julie A, Lawler Joshua J, Schumaker Nathan H

机构信息

School of Environmental and Forest Sciences University of Washington P.O. Box 352100 Seattle WA 98195-2100.

Western Ecology Division U.S. EPA 200 SW 35th St. Corvallis Oregon 97333.

出版信息

Ecol Evol. 2016 Feb 22;6(4):892-904. doi: 10.1002/ece3.2029. eCollection 2016 Feb.

Abstract

Many factors affect the presence and exchange of individuals among subpopulations and influence not only the emergence, but the strength of ensuing source-sink dynamics within metapopulations. Yet their relative contributions remain largely unexplored. To help identify the characteristics of empirical systems that are likely to exhibit strong versus weak source-sink dynamics and inform their differential management, we compared the relative roles of influential factors in strengthening source-sink dynamics. In a series of controlled experiments within a spatially explicit individual-based model framework, we varied patch quality, patch size, the dispersion of high- and low-quality patches, population growth rates, dispersal distances, and environmental stochasticity in a factorial design. We then recorded source-sink dynamics that emerged from the simulated habitat and population factors. Long-term differences in births and deaths were quantified for sources and sinks in each system and used in a statistical model to rank the influences of key factors. Our results suggest that systems with species capable of rapid growth, occupying habitat patches with more disparate qualities, with interspersed higher- and lower-quality habitats, and that experience relatively stable environments (i.e., fewer negative perturbations) are more likely to exhibit strong source-sink dynamics. Strong source-sink dynamics emerged under diverse combinations of factors, suggesting that simple inferences of process from pattern will likely be inadequate to predict and assess the strength of source-sink dynamics. Our results also suggest that it may be more difficult to detect and accurately measure source-sink dynamics in slow-growing populations, highly variable environments, and where a subtle gradient of habitat quality exists.

摘要

许多因素影响亚种群之间个体的存在和交换,不仅影响源 - 汇动态的出现,还影响其在集合种群中的强度。然而,它们的相对贡献在很大程度上仍未得到探索。为了帮助确定可能表现出强源 - 汇动态与弱源 - 汇动态的实证系统的特征,并为其差异化管理提供依据,我们比较了影响因素在强化源 - 汇动态中的相对作用。在基于个体的空间明确模型框架内进行的一系列对照实验中,我们在析因设计中改变了斑块质量、斑块大小、高质量和低质量斑块的分布、种群增长率、扩散距离以及环境随机性。然后,我们记录了从模拟栖息地和种群因素中出现的源 - 汇动态。对每个系统中的源和汇,量化出生和死亡的长期差异,并将其用于统计模型中,以对关键因素的影响进行排序。我们的结果表明,具有能够快速生长的物种、占据质量差异更大的栖息地斑块、高质量和低质量栖息地相互穿插且经历相对稳定环境(即负面扰动较少)的系统,更有可能表现出强源 - 汇动态。在多种因素组合下都出现了强源 - 汇动态,这表明仅从模式简单推断过程可能不足以预测和评估源 - 汇动态的强度。我们的结果还表明,在生长缓慢的种群、高度可变的环境以及存在微妙栖息地质量梯度的地方,可能更难检测和准确测量源 - 汇动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf8e/4761763/b3f7695b18a0/ECE3-6-0892-g001.jpg

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