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整合模型解释了植物群落中物种丰富度和生产力之间的关系。

Integrative models explain the relationships between species richness and productivity in plant communities.

机构信息

Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Regions, Ministry of Education, Chang'an University, Xi'an, China.

School of Environmental Science and Engineering, Chang'an University, Xi'an, 710064, China.

出版信息

Sci Rep. 2019 Sep 24;9(1):13730. doi: 10.1038/s41598-019-50016-3.

Abstract

The relationship between plant productivity and species richness is one of the most debated and important issues in ecology. Ecologists have found numerous forms of this relationship and its underlying processes. However, theories and proposed drivers have been insufficient to completely explain the observed variation in the forms of this relationship. Here, we developed and validated integration models capable of combining twenty positive or negative processes affecting the relationship. The integration models generated the classic humped, asymptotic, positive, negative and irregular forms and other intermediate forms of the relationship between plant richness and productivity. These forms were linked to one another and varied according to which was considered the dependent variable. The total strengths of the different positive and negative processes are the determinants of the forms of the relationship. Positive processes, such as resource availability and species pool effects, can offset the negative effects of disturbance and competition and change the relationship. This combination method clarifies the reasons for the diverse forms of the relationship and deepens our understanding of the interactions among processes.

摘要

植物生产力和物种丰富度之间的关系是生态学中最具争议和最重要的问题之一。生态学家已经发现了这种关系的许多形式及其潜在的过程。然而,理论和提出的驱动因素还不足以完全解释所观察到的这种关系形式的变化。在这里,我们开发并验证了整合模型,这些模型能够结合影响这种关系的二十个积极或消极过程。整合模型生成了经典的驼峰、渐近、正、负和不规则形式以及植物丰富度和生产力之间关系的其他中间形式。这些形式相互关联,并根据哪个被视为因变量而变化。不同积极和消极过程的总强度是关系形式的决定因素。资源可用性和物种库效应等积极过程可以抵消干扰和竞争的负面影响,并改变关系。这种组合方法阐明了关系多样化的原因,并加深了我们对过程之间相互作用的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5e/6760178/8d6762587617/41598_2019_50016_Fig1_HTML.jpg

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