Shifting macroecological patterns and static theory failure in a stressed alpine plant community
Shifting macroecological patterns and static theory failure in a stressed alpine plant community
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DOI：
10.1002/ecs2.3548
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发表时间：
2021-06-01
期刊：
影响因子：
2.7
通讯作者：
Harte，John
中科院分区：
文献类型：
--
作者：
Franzman，Juliette;Brush，Micah;Harte，John
越来越多的证据表明，生态群落经历变化，以应对人为或自然干扰表现出宏观生态模式，不同于那些观察到的类似类型的社区在相对不受干扰的网站。然而，与这种跨站点比较相反，很少有关于宏观生态模式形状随时间变化的实证研究。在这里，我们提供了一个植物群落的戏剧性例子，其中物种-面积关系和物种-多度分布在六年内发生了显着变化。这些模式越来越偏离生态学最大熵理论（METE）的预测，该理论成功地预测了相对静态系统中的宏观生态模式。此外，物种-面积关系预测中的误差随着时间的推移与增加的压力（以死亡率减去招募率来衡量）相关，这在人口统计学和宏观生态理论的失败之间提供了联系。从宏观生态群落结构的快照测量推断的生态系统动态信息可能有助于确定干扰的原因和后果，并将当前理论和模型的领域扩展到受干扰的生态系统。
Accumulating evidence suggests that ecological communities undergoing change in response to either anthropogenic or natural disturbances exhibit macroecological patterns that differ from those observed in similar types of communities in relatively undisturbed sites. In contrast to such cross‐site comparisons, however, there are few empirical studies of shifts over time in the shapes of macroecological patterns. Here, we provide a dramatic example of a plant community in which the species–area relationship and the species‐abundance distribution change markedly over a period of six years. These patterns increasingly deviate from the predictions of the maximum entropy theory of ecology (METE), which successfully predicts macroecological patterns in relatively static systems. The error in the species–area relationship prediction additionally correlates over time with increased stress measured as mortality minus recruitment, providing a link between demography and the failure of macroecological theory. Information on the dynamic state of an ecosystem inferred from snapshot measurements of macroecological community structure can potentially assist in identifying causes and consequences of disturbance and extending the domain of current theories and models to disturbed ecosystems.