Linking functional traits and demography to model species-rich communities
Advances in process-based community ecology models are hindered by the challenge of linking functional traits to demography in species-rich systems, where a high number of parameters need to be estimated from limited data. Here the authors propose a new Bayesian framework to calibrate community mode...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-22630-1 |
| _version_ | 1818977643150704640 |
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| author | Loïc Chalmandrier Florian Hartig Daniel C. Laughlin Heike Lischke Maximilian Pichler Daniel B. Stouffer Loïc Pellissier |
| author_facet | Loïc Chalmandrier Florian Hartig Daniel C. Laughlin Heike Lischke Maximilian Pichler Daniel B. Stouffer Loïc Pellissier |
| author_sort | Loïc Chalmandrier |
| collection | DOAJ |
| description | Advances in process-based community ecology models are hindered by the challenge of linking functional traits to demography in species-rich systems, where a high number of parameters need to be estimated from limited data. Here the authors propose a new Bayesian framework to calibrate community models via functional traits, and validate it in a species-rich plant community. |
| first_indexed | 2024-12-20T16:31:00Z |
| format | Article |
| id | doaj.art-84f30cf1aa9049cf95c5d26582782d15 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-20T16:31:00Z |
| publishDate | 2021-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-84f30cf1aa9049cf95c5d26582782d152022-12-21T19:33:15ZengNature PortfolioNature Communications2041-17232021-05-011211910.1038/s41467-021-22630-1Linking functional traits and demography to model species-rich communitiesLoïc Chalmandrier0Florian Hartig1Daniel C. Laughlin2Heike Lischke3Maximilian Pichler4Daniel B. Stouffer5Loïc Pellissier6Landscape Ecology, Institute of Terrestrial Ecosystems, ETH ZurichTheoretical Ecology, Faculty of Biology and Pre-Clinical Medicine, University of RegensburgDepartment of Botany, University of WyomingDynamic Macroecology, Land Change Science, Swiss Federal Research Institute WSLTheoretical Ecology, Faculty of Biology and Pre-Clinical Medicine, University of RegensburgCentre for Integrative Ecology, University of Canterbury, School of Biological SciencesLandscape Ecology, Institute of Terrestrial Ecosystems, ETH ZurichAdvances in process-based community ecology models are hindered by the challenge of linking functional traits to demography in species-rich systems, where a high number of parameters need to be estimated from limited data. Here the authors propose a new Bayesian framework to calibrate community models via functional traits, and validate it in a species-rich plant community.https://doi.org/10.1038/s41467-021-22630-1 |
| spellingShingle | Loïc Chalmandrier Florian Hartig Daniel C. Laughlin Heike Lischke Maximilian Pichler Daniel B. Stouffer Loïc Pellissier Linking functional traits and demography to model species-rich communities Nature Communications |
| title | Linking functional traits and demography to model species-rich communities |
| title_full | Linking functional traits and demography to model species-rich communities |
| title_fullStr | Linking functional traits and demography to model species-rich communities |
| title_full_unstemmed | Linking functional traits and demography to model species-rich communities |
| title_short | Linking functional traits and demography to model species-rich communities |
| title_sort | linking functional traits and demography to model species rich communities |
| url | https://doi.org/10.1038/s41467-021-22630-1 |
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