arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1502.06629q-bio.PE
收藏

从性状到生态系统的缩放：通过整合基于性状的缩放理论和代谢缩放理论来开发通用性状驱动理论

Scaling from traits to ecosystems: Developing a general Trait Driver Theory via integrating trait-based and metabolic scaling theories

Brian J. Enquist, Jon Norberg, Stephen P. Bonser, Cyrille Violle, Colleen T. Webb, Amanda Henderson, Lindsey L. Sloat, Van M. Savage

备注：
96 pages, 7 Figures, Appendix with 5 figures
发表信息：
2015, Advances in Ecological Research, 52
阅读 PDF
arXiv 页面 ↗HTML 原文 ↗

摘要：

基于特征的生态学的兴起使得人们越来越关注特征在群落中的分布和动态。然而，基于特征的生态学的一般理论，可以适用于不同的尺度（例如，大小不同的种类）和梯度（例如，温度），尚未制定。虽然专注于代谢和异速生长理论的研究为这种理论提供了基础，但它并没有明确说明分类群内部和之间的差异，例如最佳生长温度的变化。在这里，我们将基于特质的方法和代谢缩放方法合成为一个框架，我们称之为特质驱动理论或TDT。它表明，性状分布的形状和动态可以唯一地与社区组装的基本驱动因素以及社区将如何应对未来的驱动因素联系在一起。为了评估TDT的预测和假设，我们回顾了几个理论研究，最近的实证研究跨越本地和地理梯度。此外，我们分析了性状分布的变化如何影响生态系统生产力的海拔梯度和140年的生态实验。我们认为，我们的一般TDT提供了一个基线（一）重铸的预测生态理论的基础上物种丰富度的性状分布的形状;（二）整合具体的性状，包括身体大小，和功能多样性规模如何影响物种组合的动态跨越气候梯度和功能组成的变化如何影响生态系统功能。此外，它提供了一个新颖的框架，可以整合基于性状、代谢/异速生长和物种丰富度的方法，以建立更具预测性的功能生物地理学，以显示物种聚集如何以及将如何应对气候变化。

英文摘要：

The rise of trait-based ecology has led to an increased focus on the distribution and dynamics of traits in communities. However, a general theory of trait-based ecology, that can apply across different scales (e.g., species that differ in size) and gradients (e.g., temperature), has yet to be formulated. While research focused on metabolic and allometric scaling theory provides the basis for such a theory it does not explicitly account for differences traits within and across taxa, such as variation in the optimal temperature for growth. Here we synthesize trait-based and metabolic scaling approaches into a framework that we term Trait Drivers Theory or TDT. It shows that the shape and dynamics of trait distributions can be uniquely linked to fundamental drivers of community assembly and how the community will respond to future drivers. To assess predictions and assumptions of TDT, we review several theoretical studies, recent empirical studies spanning local and biogeographic gradients. Further, we analyze how the shift in trait distributions influences ecosystem productivity across an elevational gradient and a 140-year long ecological experiment. We argue that our general TDT provides a baseline for (i) recasting the predictions of ecological theories based on species richness in terms of the shape of trait distributions; and (ii) integrating how specific traits, including body size, and functional diversity scale up to influence the dynamics of species assemblages across climatic gradients and how shifts in functional composition influences ecosystem functioning. Further, it offers a novel framework to integrate trait, metabolic/allometric, and species-richness based approaches in order to build a more predictive functional biogeography to show how assemblages of species have and will respond to climate change.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

↑