A simulation‐based approach to understand how metacommunity characteristics influence emergent biodiversity patterns
A simulation‐based approach to understand how metacommunity characteristics influence emergent biodiversity patterns
复制标题
基于模拟的方法来了解元群落特征如何影响新兴的生物多样性模式
DOI：
10.1111/oik.03690
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发表时间：
2017
期刊：
影响因子：
3.4
通讯作者：
J. Barrett
中科院分区：
文献类型：
--
作者：
Eric R Sokol;B. Brown;J. Barrett
为了理解对生物多样性的控制，有必要采取多尺度的方法来理解当地和区域因素如何影响推动紧急模式的社区组装过程。这一需要反映在越来越多地使用元生态系统概念来解释生物多样性的多尺度测量，包括从多样性划分（例如α、β和γ多样性）和变异划分（例如组成更替的空间和环境组成部分）技术得出的度量。然而，研究表明，使用这些指标来表征潜在的社区组装动态的成功有限。在这里，我们演示了如何可以使用一个元生态模拟包（MCSim）来评估何时以及如何生物多样性指标可以用来推断元生态特征。我们研究了代表生态相关情景的各种参数设置。我们使用人工神经网络（ANN）来评估多样性和变异划分指标（从模拟结果计算）对亚稳态参数设置的敏感性。在这项研究中，生态位中性梯度强烈影响大多数生物多样性的指标，metacompatibility大小表现出边际影响的一些指标，和扩散动力学只影响一个子集的变化分区结果。变异划分响应曲线沿着生态位中性梯度不是单调的，但是，模拟结果表明，其他生物多样性指标（如相异性饱和度）可以与变异划分指标相结合，使推断的metacromycity属性。随着存档的生态数据越来越多的可用性，我们预计未来的工作将应用基于模拟的技术，以更好地了解生物多样性和metacompatiity的特点，被认为是控制底层社区组装过程之间的联系。
To understand controls over biodiversity, it is necessary to take a multi-scale approach to understand how local and regional factors affect the community assembly processes that drive emergent patterns. This need is reflected in the growing use of the metacommunity concept to interpret multi-scale measures of biodiversity, including metrics derived from diversity partitioning (e.g. α, β and γ diversity) and variation partitioning (e.g. spatial and environmental components of compositional turnover) techniques. However, studies have shown limited success using these metrics to characterize underlying community assembly dynamics. Here we demonstrate how a metacommunity simulation package (MCSim) can be used to evaluate when and how biodiversity metrics can be used to make inferences about metacommunity characteristics. We examined a wide range of parameter settings representing ecologically relevant scenarios. We used artificial neural networks (ANNs) to assess the sensitivity of diversity and variation partitioning metrics (calculated from simulation outcomes) to metacommunity parameter settings. In the scenarios examined in this study, the niche-neutral gradient strongly influenced most biodiversity metrics, metacommunity size exhibited a marginal influence over some metrics, and dispersal dynamics only affected a subset of variation partitioning outcomes. Variation partitioning response curves along the niche-neutral gradient were not monotonic; however, simulation outcomes suggest other biodiversity metrics (e.g. dissimilarity saturation) can be used in combination with variation partitioning metrics to make inferences about metacommunity properties. With the growing availability of archived ecological data, we expect future work will apply simulation-based techniques to better understand links between biodiversity and the metacommunity characteristics that are presumed to control the underlying community assembly processes.
影响因子：
6.4
作者：
Steinbauer, Manuel Jonas;Dolos, Klara;Beierkuhnlein, Carl
通讯作者：
Beierkuhnlein, Carl
影响因子：
8.8
作者：
Myers, Jonathan A.;Chase, Jonathan M.;Seidel, Renate
通讯作者：
Seidel, Renate