Multi‐scale biodiversity drives temporal variability in macrosystems
Multi‐scale biodiversity drives temporal variability in macrosystems
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DOI：
10.1002/fee.2297
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发表时间：
2021-02
影响因子：
10.3
通讯作者：
C. Patrick;K. McCluney;A. Ruhí;A. Gregory;J. Sabo;J. Thorp
中科院分区：
文献类型：
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作者：
C. Patrick;K. McCluney;A. Ruhí;A. Gregory;J. Sabo;J. Thorp
环境条件、种群和生态群落的高度时间变异性可能导致物种灭绝和农业害虫和疾病媒介的爆发，并影响依赖可靠提供生态系统服务的行业。然而，很少有实证研究集中在大的空间和时间尺度上的生态时间变异的驱动因素的假设进行测试。使用跨越水生和陆地宏观系统和结构方程模型的十年数据集，我们表明，局部的时间变异性和空间同步性增加了整个宏观系统的时间变异性。这些机制受到环境异质性、栖息地水平物种多样性、空间尺度和区域物种库大小的影响。这一分析是第一次为区域物种多样性的价值提供定量论证。此外，我们的概念模型是可推广的，并可能有助于指导管理工作，以减少在其他宏观系统的保护或服务提供的时间变化。
High temporal variability in environmental conditions, populations, and ecological communities can result in species extinctions and outbreaks of agricultural pests and disease vectors, as well as impact industries dependent on reliable provisioning of ecosystem services. Yet few empirical studies have focused on testing hypotheses about the drivers of ecological temporal variability at large spatial and temporal scales. Using decadal datasets that span aquatic and terrestrial macrosystems and structural equation modeling, we show that local temporal variability and spatial synchrony increase temporal variability for entire macrosystems. These mechanisms are influenced by environmental heterogeneity, habitat‐level species diversity, spatial scale, and the size of the regional species pool. This analysis is among the first to provide a quantitative argument for the value of regional species diversity. Moreover, our conceptual model is generalizable and may help guide management efforts to reduce temporal variability for conservation or service provisioning in other macrosystems.