Dominance and rarity in tree communities across the globe: Patterns, predictors and threats

Autores
Hordijk, Iris; Bialic Murphy, Lalasia; Lauber, Thomas; Routh, Devin; Poorter, Lourens; Rivers, Malin C.; ter Steege, Hans; Liang, Jingjing; Reich, Peter B.; de Miguel, Sergio; Nabuurs, Gert Jan; Gamarra, Javier G. P.; Chen, Han Y. H.; Zhou, Mo; Wiser, Susan K.; Pretzsch, Hans; Paquette, Alain; Picard, Nicolas; Hérault, Bruno; Bastin, Jean Francois; Alberti, Giorgio; Abegg, Meinrad; Adou Yao, Yves C.; Almeyda Zambrano, Angelica M.; Peri, Pablo Luis; Zhao, Xiuhai; Zhu, Zhi Xin; Zo Bi, Irie Casimir; Maynard, Daniel S.; Crowther, Thomas W.
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Ecological and anthropogenic factors shift the abundances of dominant and rare tree species within local forest communities, thus affecting species composition and ecosystem functioning. To inform forest and conservation management it is important to understand the drivers of dominance and rarity in local tree communities. We answer the following research questions: (1) What are the patterns of dominance and rarity in tree communities? (2) Which ecological and anthropogenic factors predict these patterns? And (3) what is the extinction risk of locally dominant and rare tree species? We used 1.2 million forest plots and quantified local tree dominance as the relative plot basal area of the single most dominant species and local rarity as the percentage of species that contribute together to the least 10% of plot basal area. We mapped global community dominance and rarity using machine learning models and evaluated the ecological and anthropogenic predictors with linear models. Extinction risk, for example threatened status, of geographically widespread dominant and rare species was evaluated. Community dominance and rarity show contrasting latitudinal trends, with boreal forests having high levels of dominance and tropical forests having high levels of rarity. Increasing annual precipitation reduces community dominance, probably because precipitation is related to an increase in tree density and richness. Additionally, stand age is positively related to community dominance, due to stem diameter increase of the most dominant species. Surprisingly, we find that locally dominant and rare species, which are geographically widespread in our data, have an equally high rate of elevated extinction due to declining populations through large-scale land degradation. By linking patterns and predictors of community dominance and rarity to extinction risk, our results suggest that also widespread species should be considered in large-scale management and conservation practices.
Fil: Hordijk, Iris. Swiss Federal Institute of Technology Zurich; Suiza. Wageningen University and Research; Países Bajos
Fil: Bialic Murphy, Lalasia. Swiss Federal Institute of Technology Zurich; Suiza
Fil: Lauber, Thomas. Swiss Federal Institute of Technology Zurich; Suiza
Fil: Routh, Devin. Universitat Zurich; Suiza
Fil: Poorter, Lourens. Universitat Zurich; Suiza
Fil: Rivers, Malin C.. Botanic Gardens Conservation International; Reino Unido
Fil: ter Steege, Hans. Utrecht University; Países Bajos
Fil: Liang, Jingjing. Purdue University; Estados Unidos
Fil: Reich, Peter B.. University of Minnesota; Estados Unidos. University of Western Sydney; Australia
Fil: de Miguel, Sergio. Universidad de Lleida; España
Fil: Nabuurs, Gert Jan. University of Agriculture Wageningen; Países Bajos
Fil: Gamarra, Javier G. P.. Food and Agriculture Organization of the United Nations; Italia
Fil: Chen, Han Y. H.. Lakehead University; Canadá
Fil: Zhou, Mo. Purdue University; Estados Unidos
Fil: Wiser, Susan K.. Manaaki Whenua–Landcare Research; Nueva Zelanda
Fil: Pretzsch, Hans. Universitat Technical Zu Munich; Alemania
Fil: Paquette, Alain. Université du Québec a Montreal; Canadá
Fil: Picard, Nicolas. Groupement d'Intérêt Public sur les écosystèmes forestiers; Francia
Fil: Hérault, Bruno. National Polytechnic Institute; Costa de Marfil
Fil: Bastin, Jean Francois. University of Liege; Bélgica
Fil: Alberti, Giorgio. University of Bolzano; Italia. University of Udine; Italia
Fil: Abegg, Meinrad. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza
Fil: Adou Yao, Yves C.. University Félix Houphouët-Boigny; Costa de Marfil
Fil: Almeyda Zambrano, Angelica M.. University of Florida; Estados Unidos
Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina
Fil: Zhao, Xiuhai. Beijing Forestry University; China
Fil: Zhu, Zhi Xin. Hainan University; China
Fil: Zo Bi, Irie Casimir. National Polytechnic Institute; Costa de Marfil
Fil: Maynard, Daniel S.. Swiss Federal Institute of Technology Zurich; Suiza. University College London; Reino Unido
Fil: Crowther, Thomas W.. Swiss Federal Institute of Technology Zurich; Suiza
Materia
community
environmental predictors
dominance
forests
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/257939

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network_name_str CONICET Digital (CONICET)
spelling Dominance and rarity in tree communities across the globe: Patterns, predictors and threatsHordijk, IrisBialic Murphy, LalasiaLauber, ThomasRouth, DevinPoorter, LourensRivers, Malin C.ter Steege, HansLiang, JingjingReich, Peter B.de Miguel, SergioNabuurs, Gert JanGamarra, Javier G. P.Chen, Han Y. H.Zhou, MoWiser, Susan K.Pretzsch, HansPaquette, AlainPicard, NicolasHérault, BrunoBastin, Jean FrancoisAlberti, GiorgioAbegg, MeinradAdou Yao, Yves C.Almeyda Zambrano, Angelica M.Peri, Pablo LuisZhao, XiuhaiZhu, Zhi XinZo Bi, Irie CasimirMaynard, Daniel S.Crowther, Thomas W.communityenvironmental predictorsdominanceforestshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Ecological and anthropogenic factors shift the abundances of dominant and rare tree species within local forest communities, thus affecting species composition and ecosystem functioning. To inform forest and conservation management it is important to understand the drivers of dominance and rarity in local tree communities. We answer the following research questions: (1) What are the patterns of dominance and rarity in tree communities? (2) Which ecological and anthropogenic factors predict these patterns? And (3) what is the extinction risk of locally dominant and rare tree species? We used 1.2 million forest plots and quantified local tree dominance as the relative plot basal area of the single most dominant species and local rarity as the percentage of species that contribute together to the least 10% of plot basal area. We mapped global community dominance and rarity using machine learning models and evaluated the ecological and anthropogenic predictors with linear models. Extinction risk, for example threatened status, of geographically widespread dominant and rare species was evaluated. Community dominance and rarity show contrasting latitudinal trends, with boreal forests having high levels of dominance and tropical forests having high levels of rarity. Increasing annual precipitation reduces community dominance, probably because precipitation is related to an increase in tree density and richness. Additionally, stand age is positively related to community dominance, due to stem diameter increase of the most dominant species. Surprisingly, we find that locally dominant and rare species, which are geographically widespread in our data, have an equally high rate of elevated extinction due to declining populations through large-scale land degradation. By linking patterns and predictors of community dominance and rarity to extinction risk, our results suggest that also widespread species should be considered in large-scale management and conservation practices.Fil: Hordijk, Iris. Swiss Federal Institute of Technology Zurich; Suiza. Wageningen University and Research; Países BajosFil: Bialic Murphy, Lalasia. Swiss Federal Institute of Technology Zurich; SuizaFil: Lauber, Thomas. Swiss Federal Institute of Technology Zurich; SuizaFil: Routh, Devin. Universitat Zurich; SuizaFil: Poorter, Lourens. Universitat Zurich; SuizaFil: Rivers, Malin C.. Botanic Gardens Conservation International; Reino UnidoFil: ter Steege, Hans. Utrecht University; Países BajosFil: Liang, Jingjing. Purdue University; Estados UnidosFil: Reich, Peter B.. University of Minnesota; Estados Unidos. University of Western Sydney; AustraliaFil: de Miguel, Sergio. Universidad de Lleida; EspañaFil: Nabuurs, Gert Jan. University of Agriculture Wageningen; Países BajosFil: Gamarra, Javier G. P.. Food and Agriculture Organization of the United Nations; ItaliaFil: Chen, Han Y. H.. Lakehead University; CanadáFil: Zhou, Mo. Purdue University; Estados UnidosFil: Wiser, Susan K.. Manaaki Whenua–Landcare Research; Nueva ZelandaFil: Pretzsch, Hans. Universitat Technical Zu Munich; AlemaniaFil: Paquette, Alain. Université du Québec a Montreal; CanadáFil: Picard, Nicolas. Groupement d'Intérêt Public sur les écosystèmes forestiers; FranciaFil: Hérault, Bruno. National Polytechnic Institute; Costa de MarfilFil: Bastin, Jean Francois. University of Liege; BélgicaFil: Alberti, Giorgio. University of Bolzano; Italia. University of Udine; ItaliaFil: Abegg, Meinrad. Swiss Federal Institute for Forest, Snow and Landscape Research; SuizaFil: Adou Yao, Yves C.. University Félix Houphouët-Boigny; Costa de MarfilFil: Almeyda Zambrano, Angelica M.. University of Florida; Estados UnidosFil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; ArgentinaFil: Zhao, Xiuhai. Beijing Forestry University; ChinaFil: Zhu, Zhi Xin. Hainan University; ChinaFil: Zo Bi, Irie Casimir. National Polytechnic Institute; Costa de MarfilFil: Maynard, Daniel S.. Swiss Federal Institute of Technology Zurich; Suiza. University College London; Reino UnidoFil: Crowther, Thomas W.. Swiss Federal Institute of Technology Zurich; SuizaWiley Blackwell Publishing, Inc2024-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/257939Hordijk, Iris; Bialic Murphy, Lalasia; Lauber, Thomas; Routh, Devin; Poorter, Lourens; et al.; Dominance and rarity in tree communities across the globe: Patterns, predictors and threats; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 33; 10; 9-2024; 1-211466-822XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13889info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/geb.13889info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:34:41Zoai:ri.conicet.gov.ar:11336/257939instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:34:41.723CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dominance and rarity in tree communities across the globe: Patterns, predictors and threats
title Dominance and rarity in tree communities across the globe: Patterns, predictors and threats
spellingShingle Dominance and rarity in tree communities across the globe: Patterns, predictors and threats
Hordijk, Iris
community
environmental predictors
dominance
forests
title_short Dominance and rarity in tree communities across the globe: Patterns, predictors and threats
title_full Dominance and rarity in tree communities across the globe: Patterns, predictors and threats
title_fullStr Dominance and rarity in tree communities across the globe: Patterns, predictors and threats
title_full_unstemmed Dominance and rarity in tree communities across the globe: Patterns, predictors and threats
title_sort Dominance and rarity in tree communities across the globe: Patterns, predictors and threats
dc.creator.none.fl_str_mv Hordijk, Iris
Bialic Murphy, Lalasia
Lauber, Thomas
Routh, Devin
Poorter, Lourens
Rivers, Malin C.
ter Steege, Hans
Liang, Jingjing
Reich, Peter B.
de Miguel, Sergio
Nabuurs, Gert Jan
Gamarra, Javier G. P.
Chen, Han Y. H.
Zhou, Mo
Wiser, Susan K.
Pretzsch, Hans
Paquette, Alain
Picard, Nicolas
Hérault, Bruno
Bastin, Jean Francois
Alberti, Giorgio
Abegg, Meinrad
Adou Yao, Yves C.
Almeyda Zambrano, Angelica M.
Peri, Pablo Luis
Zhao, Xiuhai
Zhu, Zhi Xin
Zo Bi, Irie Casimir
Maynard, Daniel S.
Crowther, Thomas W.
author Hordijk, Iris
author_facet Hordijk, Iris
Bialic Murphy, Lalasia
Lauber, Thomas
Routh, Devin
Poorter, Lourens
Rivers, Malin C.
ter Steege, Hans
Liang, Jingjing
Reich, Peter B.
de Miguel, Sergio
Nabuurs, Gert Jan
Gamarra, Javier G. P.
Chen, Han Y. H.
Zhou, Mo
Wiser, Susan K.
Pretzsch, Hans
Paquette, Alain
Picard, Nicolas
Hérault, Bruno
Bastin, Jean Francois
Alberti, Giorgio
Abegg, Meinrad
Adou Yao, Yves C.
Almeyda Zambrano, Angelica M.
Peri, Pablo Luis
Zhao, Xiuhai
Zhu, Zhi Xin
Zo Bi, Irie Casimir
Maynard, Daniel S.
Crowther, Thomas W.
author_role author
author2 Bialic Murphy, Lalasia
Lauber, Thomas
Routh, Devin
Poorter, Lourens
Rivers, Malin C.
ter Steege, Hans
Liang, Jingjing
Reich, Peter B.
de Miguel, Sergio
Nabuurs, Gert Jan
Gamarra, Javier G. P.
Chen, Han Y. H.
Zhou, Mo
Wiser, Susan K.
Pretzsch, Hans
Paquette, Alain
Picard, Nicolas
Hérault, Bruno
Bastin, Jean Francois
Alberti, Giorgio
Abegg, Meinrad
Adou Yao, Yves C.
Almeyda Zambrano, Angelica M.
Peri, Pablo Luis
Zhao, Xiuhai
Zhu, Zhi Xin
Zo Bi, Irie Casimir
Maynard, Daniel S.
Crowther, Thomas W.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv community
environmental predictors
dominance
forests
topic community
environmental predictors
dominance
forests
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Ecological and anthropogenic factors shift the abundances of dominant and rare tree species within local forest communities, thus affecting species composition and ecosystem functioning. To inform forest and conservation management it is important to understand the drivers of dominance and rarity in local tree communities. We answer the following research questions: (1) What are the patterns of dominance and rarity in tree communities? (2) Which ecological and anthropogenic factors predict these patterns? And (3) what is the extinction risk of locally dominant and rare tree species? We used 1.2 million forest plots and quantified local tree dominance as the relative plot basal area of the single most dominant species and local rarity as the percentage of species that contribute together to the least 10% of plot basal area. We mapped global community dominance and rarity using machine learning models and evaluated the ecological and anthropogenic predictors with linear models. Extinction risk, for example threatened status, of geographically widespread dominant and rare species was evaluated. Community dominance and rarity show contrasting latitudinal trends, with boreal forests having high levels of dominance and tropical forests having high levels of rarity. Increasing annual precipitation reduces community dominance, probably because precipitation is related to an increase in tree density and richness. Additionally, stand age is positively related to community dominance, due to stem diameter increase of the most dominant species. Surprisingly, we find that locally dominant and rare species, which are geographically widespread in our data, have an equally high rate of elevated extinction due to declining populations through large-scale land degradation. By linking patterns and predictors of community dominance and rarity to extinction risk, our results suggest that also widespread species should be considered in large-scale management and conservation practices.
Fil: Hordijk, Iris. Swiss Federal Institute of Technology Zurich; Suiza. Wageningen University and Research; Países Bajos
Fil: Bialic Murphy, Lalasia. Swiss Federal Institute of Technology Zurich; Suiza
Fil: Lauber, Thomas. Swiss Federal Institute of Technology Zurich; Suiza
Fil: Routh, Devin. Universitat Zurich; Suiza
Fil: Poorter, Lourens. Universitat Zurich; Suiza
Fil: Rivers, Malin C.. Botanic Gardens Conservation International; Reino Unido
Fil: ter Steege, Hans. Utrecht University; Países Bajos
Fil: Liang, Jingjing. Purdue University; Estados Unidos
Fil: Reich, Peter B.. University of Minnesota; Estados Unidos. University of Western Sydney; Australia
Fil: de Miguel, Sergio. Universidad de Lleida; España
Fil: Nabuurs, Gert Jan. University of Agriculture Wageningen; Países Bajos
Fil: Gamarra, Javier G. P.. Food and Agriculture Organization of the United Nations; Italia
Fil: Chen, Han Y. H.. Lakehead University; Canadá
Fil: Zhou, Mo. Purdue University; Estados Unidos
Fil: Wiser, Susan K.. Manaaki Whenua–Landcare Research; Nueva Zelanda
Fil: Pretzsch, Hans. Universitat Technical Zu Munich; Alemania
Fil: Paquette, Alain. Université du Québec a Montreal; Canadá
Fil: Picard, Nicolas. Groupement d'Intérêt Public sur les écosystèmes forestiers; Francia
Fil: Hérault, Bruno. National Polytechnic Institute; Costa de Marfil
Fil: Bastin, Jean Francois. University of Liege; Bélgica
Fil: Alberti, Giorgio. University of Bolzano; Italia. University of Udine; Italia
Fil: Abegg, Meinrad. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza
Fil: Adou Yao, Yves C.. University Félix Houphouët-Boigny; Costa de Marfil
Fil: Almeyda Zambrano, Angelica M.. University of Florida; Estados Unidos
Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina
Fil: Zhao, Xiuhai. Beijing Forestry University; China
Fil: Zhu, Zhi Xin. Hainan University; China
Fil: Zo Bi, Irie Casimir. National Polytechnic Institute; Costa de Marfil
Fil: Maynard, Daniel S.. Swiss Federal Institute of Technology Zurich; Suiza. University College London; Reino Unido
Fil: Crowther, Thomas W.. Swiss Federal Institute of Technology Zurich; Suiza
description Ecological and anthropogenic factors shift the abundances of dominant and rare tree species within local forest communities, thus affecting species composition and ecosystem functioning. To inform forest and conservation management it is important to understand the drivers of dominance and rarity in local tree communities. We answer the following research questions: (1) What are the patterns of dominance and rarity in tree communities? (2) Which ecological and anthropogenic factors predict these patterns? And (3) what is the extinction risk of locally dominant and rare tree species? We used 1.2 million forest plots and quantified local tree dominance as the relative plot basal area of the single most dominant species and local rarity as the percentage of species that contribute together to the least 10% of plot basal area. We mapped global community dominance and rarity using machine learning models and evaluated the ecological and anthropogenic predictors with linear models. Extinction risk, for example threatened status, of geographically widespread dominant and rare species was evaluated. Community dominance and rarity show contrasting latitudinal trends, with boreal forests having high levels of dominance and tropical forests having high levels of rarity. Increasing annual precipitation reduces community dominance, probably because precipitation is related to an increase in tree density and richness. Additionally, stand age is positively related to community dominance, due to stem diameter increase of the most dominant species. Surprisingly, we find that locally dominant and rare species, which are geographically widespread in our data, have an equally high rate of elevated extinction due to declining populations through large-scale land degradation. By linking patterns and predictors of community dominance and rarity to extinction risk, our results suggest that also widespread species should be considered in large-scale management and conservation practices.
publishDate 2024
dc.date.none.fl_str_mv 2024-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/257939
Hordijk, Iris; Bialic Murphy, Lalasia; Lauber, Thomas; Routh, Devin; Poorter, Lourens; et al.; Dominance and rarity in tree communities across the globe: Patterns, predictors and threats; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 33; 10; 9-2024; 1-21
1466-822X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/257939
identifier_str_mv Hordijk, Iris; Bialic Murphy, Lalasia; Lauber, Thomas; Routh, Devin; Poorter, Lourens; et al.; Dominance and rarity in tree communities across the globe: Patterns, predictors and threats; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 33; 10; 9-2024; 1-21
1466-822X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13889
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/geb.13889
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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