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

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 ex...

Full description

Bibliographic Details
Main Authors: Zhenhong Wang, Alessandro Chiarucci, Juan F. Arratia
Format: Article
Language:English
Published: Nature Publishing Group 2019-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-019-50016-3
id doaj-074919d0fc4a43b59389cdcd94790a66
record_format Article
spelling doaj-074919d0fc4a43b59389cdcd94790a662020-12-08T09:28:43ZengNature Publishing GroupScientific Reports2045-23222019-09-019111710.1038/s41598-019-50016-3Integrative models explain the relationships between species richness and productivity in plant communitiesZhenhong Wang0Alessandro Chiarucci1Juan F. Arratia2Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Regions, Ministry of Education, Chang’an UniversityDepartment of Biological, Geological and Environmental Science, University of BolognaAGMUS Institute of Mathematics, Caribbean Computing Center for ExcellenceAbstract 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.https://doi.org/10.1038/s41598-019-50016-3
collection DOAJ
language English
format Article
sources DOAJ
author Zhenhong Wang
Alessandro Chiarucci
Juan F. Arratia
spellingShingle Zhenhong Wang
Alessandro Chiarucci
Juan F. Arratia
Integrative models explain the relationships between species richness and productivity in plant communities
Scientific Reports
author_facet Zhenhong Wang
Alessandro Chiarucci
Juan F. Arratia
author_sort Zhenhong Wang
title Integrative models explain the relationships between species richness and productivity in plant communities
title_short Integrative models explain the relationships between species richness and productivity in plant communities
title_full Integrative models explain the relationships between species richness and productivity in plant communities
title_fullStr Integrative models explain the relationships between species richness and productivity in plant communities
title_full_unstemmed Integrative models explain the relationships between species richness and productivity in plant communities
title_sort integrative models explain the relationships between species richness and productivity in plant communities
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2019-09-01
description 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.
url https://doi.org/10.1038/s41598-019-50016-3
work_keys_str_mv AT zhenhongwang integrativemodelsexplaintherelationshipsbetweenspeciesrichnessandproductivityinplantcommunities
AT alessandrochiarucci integrativemodelsexplaintherelationshipsbetweenspeciesrichnessandproductivityinplantcommunities
AT juanfarratia integrativemodelsexplaintherelationshipsbetweenspeciesrichnessandproductivityinplantcommunities
_version_ 1724389950620696576