Structural diversity as a reliable and novel predictor for ecosystem productivity
Structural diversity as a reliable and novel predictor for ecosystem productivity
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DOI：
10.1002/fee.2586
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发表时间：
2023-02
影响因子：
10.3
通讯作者：
E. LaRue;Jonathan A. Knott;G. Domke;H. Y. Chen;Q. Guo;M. Hisano;C. Oswalt;S. Oswalt;Nicole Kong;K. Potter;S. Fei
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作者：
E. LaRue;Jonathan A. Knott;G. Domke;H. Y. Chen;Q. Guo;M. Hisano;C. Oswalt;S. Oswalt;Nicole Kong;K. Potter;S. Fei
植被的物理结构被认为与生态系统功能密切相关，但对其跨地理区域的相关性知之甚少。在这里，我们使用来自北美大陆超过 300 万棵树木的数据来评估结构多样性（生态系统中生物成分的体积容量和物理排列），作为生产力的预测指标。我们证明，结构多样性是森林生产力的有力预测指标，并且在北美气候条件下始终优于传统衡量标准（物种多样性）。此外，结构多样性似乎是利基占用的更好替代指标，因为它捕获了可用于衡量已实现的利基空间的大小变化。结构多样性提供了一个易于测量的指标来指导恢复和管理决策，以最大限度地提高生态系统生产力和碳固存。
The physical structure of vegetation is thought to be closely related to ecosystem function, but little is known of its pertinence across geographic regions. Here, we used data from over three million trees in continental North America to evaluate structural diversity – the volumetric capacity and physical arrangement of biotic components in ecosystems – as a predictor of productivity. We show that structural diversity is a robust predictor of forest productivity and consistently outperforms the traditional measure – species diversity – across climate conditions in North America. Moreover, structural diversity appears to be a better surrogate of niche occupancy because it captures variation in size that can be used to measure realized niche space. Structural diversity offers an easily measured metric to direct restoration and management decision making to maximize ecosystem productivity and carbon sequestration.