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...
Main Authors: | , , |
---|---|
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 |