A comparison of five classifications of species into functional groups in tropical forests of French Guiana
Classifying species into functional groups is a way to understand the functioning of species-rich ecosystems, or to model the dynamics of such ecosystems. Many statistical techniques have been defined to classify species into groups, and a question is whether different techniques bring consistent classifications. In a tropical rain forest in French Guiana, five species classifications have been defined by different authors for the purpose of forest growth modelling but using different data sets and different statistical techniques. The correspondence between the five classifications was measured using four indices that are generalizations of existing indices to compare two classifications. A multiple correspondence analysis was used to identify associations between groups of different classifications. In a second step, two-table multivariate analyses were used to characterize the relationships between species classifications and eight species traits (consisting of seven populational traits and one functional trait). We evidenced a consensus on the potential size of trees: species were similarly clustered by the five classifications along this trait that is correlated to turnover rate. More surprisingly, no consensus was found for growth rate, nor wood density, traits that are correlated with light requirement.
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dig-cirad-fr-5649202024-01-28T20:36:48Z http://agritrop.cirad.fr/564920/ http://agritrop.cirad.fr/564920/ A comparison of five classifications of species into functional groups in tropical forests of French Guiana. Picard Nicolas, Köhler Peter, Mortier Frédéric, Gourlet-Fleury Sylvie. 2012. Ecological Complexity, 11 : 75-83.https://doi.org/10.1016/j.ecocom.2012.03.003 <https://doi.org/10.1016/j.ecocom.2012.03.003> A comparison of five classifications of species into functional groups in tropical forests of French Guiana Picard, Nicolas Köhler, Peter Mortier, Frédéric Gourlet-Fleury, Sylvie eng 2012 Ecological Complexity K01 - Foresterie - Considérations générales F70 - Taxonomie végétale et phytogéographie F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement forêt tropicale forêt écosystème forestier écosystème dynamique des populations composition botanique physiologie végétale distribution géographique lumière bois densité croissance méthode statistique propriété physicochimique identification classification taxonomie http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_15945 http://aims.fao.org/aos/agrovoc/c_25189 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_1653 http://aims.fao.org/aos/agrovoc/c_7631 Guyane française France http://aims.fao.org/aos/agrovoc/c_3093 http://aims.fao.org/aos/agrovoc/c_3081 Classifying species into functional groups is a way to understand the functioning of species-rich ecosystems, or to model the dynamics of such ecosystems. Many statistical techniques have been defined to classify species into groups, and a question is whether different techniques bring consistent classifications. In a tropical rain forest in French Guiana, five species classifications have been defined by different authors for the purpose of forest growth modelling but using different data sets and different statistical techniques. The correspondence between the five classifications was measured using four indices that are generalizations of existing indices to compare two classifications. A multiple correspondence analysis was used to identify associations between groups of different classifications. In a second step, two-table multivariate analyses were used to characterize the relationships between species classifications and eight species traits (consisting of seven populational traits and one functional trait). We evidenced a consensus on the potential size of trees: species were similarly clustered by the five classifications along this trait that is correlated to turnover rate. More surprisingly, no consensus was found for growth rate, nor wood density, traits that are correlated with light requirement. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/564920/1/document_564920.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.ecocom.2012.03.003 10.1016/j.ecocom.2012.03.003 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecocom.2012.03.003 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.ecocom.2012.03.003 |
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K01 - Foresterie - Considérations générales F70 - Taxonomie végétale et phytogéographie F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement forêt tropicale forêt écosystème forestier écosystème dynamique des populations composition botanique physiologie végétale distribution géographique lumière bois densité croissance méthode statistique propriété physicochimique identification classification taxonomie http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_15945 http://aims.fao.org/aos/agrovoc/c_25189 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_1653 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_3093 http://aims.fao.org/aos/agrovoc/c_3081 K01 - Foresterie - Considérations générales F70 - Taxonomie végétale et phytogéographie F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement forêt tropicale forêt écosystème forestier écosystème dynamique des populations composition botanique physiologie végétale distribution géographique lumière bois densité croissance méthode statistique propriété physicochimique identification classification taxonomie http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_15945 http://aims.fao.org/aos/agrovoc/c_25189 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_1653 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_3093 http://aims.fao.org/aos/agrovoc/c_3081 |
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K01 - Foresterie - Considérations générales F70 - Taxonomie végétale et phytogéographie F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement forêt tropicale forêt écosystème forestier écosystème dynamique des populations composition botanique physiologie végétale distribution géographique lumière bois densité croissance méthode statistique propriété physicochimique identification classification taxonomie http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_15945 http://aims.fao.org/aos/agrovoc/c_25189 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_1653 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_3093 http://aims.fao.org/aos/agrovoc/c_3081 K01 - Foresterie - Considérations générales F70 - Taxonomie végétale et phytogéographie F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement forêt tropicale forêt écosystème forestier écosystème dynamique des populations composition botanique physiologie végétale distribution géographique lumière bois densité croissance méthode statistique propriété physicochimique identification classification taxonomie http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_15945 http://aims.fao.org/aos/agrovoc/c_25189 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_1653 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_3093 http://aims.fao.org/aos/agrovoc/c_3081 Picard, Nicolas Köhler, Peter Mortier, Frédéric Gourlet-Fleury, Sylvie A comparison of five classifications of species into functional groups in tropical forests of French Guiana |
description |
Classifying species into functional groups is a way to understand the functioning of species-rich ecosystems, or to model the dynamics of such ecosystems. Many statistical techniques have been defined to classify species into groups, and a question is whether different techniques bring consistent classifications. In a tropical rain forest in French Guiana, five species classifications have been defined by different authors for the purpose of forest growth modelling but using different data sets and different statistical techniques. The correspondence between the five classifications was measured using four indices that are generalizations of existing indices to compare two classifications. A multiple correspondence analysis was used to identify associations between groups of different classifications. In a second step, two-table multivariate analyses were used to characterize the relationships between species classifications and eight species traits (consisting of seven populational traits and one functional trait). We evidenced a consensus on the potential size of trees: species were similarly clustered by the five classifications along this trait that is correlated to turnover rate. More surprisingly, no consensus was found for growth rate, nor wood density, traits that are correlated with light requirement. |
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article |
topic_facet |
K01 - Foresterie - Considérations générales F70 - Taxonomie végétale et phytogéographie F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement forêt tropicale forêt écosystème forestier écosystème dynamique des populations composition botanique physiologie végétale distribution géographique lumière bois densité croissance méthode statistique propriété physicochimique identification classification taxonomie http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_15945 http://aims.fao.org/aos/agrovoc/c_25189 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_1653 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_3093 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Picard, Nicolas Köhler, Peter Mortier, Frédéric Gourlet-Fleury, Sylvie |
author_facet |
Picard, Nicolas Köhler, Peter Mortier, Frédéric Gourlet-Fleury, Sylvie |
author_sort |
Picard, Nicolas |
title |
A comparison of five classifications of species into functional groups in tropical forests of French Guiana |
title_short |
A comparison of five classifications of species into functional groups in tropical forests of French Guiana |
title_full |
A comparison of five classifications of species into functional groups in tropical forests of French Guiana |
title_fullStr |
A comparison of five classifications of species into functional groups in tropical forests of French Guiana |
title_full_unstemmed |
A comparison of five classifications of species into functional groups in tropical forests of French Guiana |
title_sort |
comparison of five classifications of species into functional groups in tropical forests of french guiana |
url |
http://agritrop.cirad.fr/564920/ http://agritrop.cirad.fr/564920/1/document_564920.pdf |
work_keys_str_mv |
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