Seeing Central African forests through their largest trees
Large tropical trees and a few dominant species were recently identified as the main structuring elements of tropical forests. However, such result did not translate yet into quantitative approaches which are essential to understand, predict and monitor forest functions and composition over large, often poorly accessible territories. Here we show that the above-ground biomass (AGB) of the whole forest can be predicted from a few large trees and that the relationship is proved strikingly stable in 175 1-ha plots investigated across 8 sites spanning Central Africa. We designed a generic model predicting AGB with an error of 14% when based on only 5% of the stems, which points to universality in forest structural properties. For the first time in Africa, we identified some dominant species that disproportionally contribute to forest AGB with 1.5% of recorded species accounting for over 50% of the stock of AGB. Consequently, focusing on large trees and dominant species provides precise information on the whole forest stand. This offers new perspectives for understanding the functioning of tropical forests and opens new doors for the development of innovative monitoring strategies.
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Subjects: | K01 - Foresterie - Considérations générales, U30 - Méthodes de recherche, F40 - Écologie végétale, |
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dig-cirad-fr-5856222022-04-15T14:16:36Z http://agritrop.cirad.fr/585622/ http://agritrop.cirad.fr/585622/ Seeing Central African forests through their largest trees. Bastin Jean-François, Barbier Nicolas, Rejou-Mechain Maxime, Fayolle Adeline, Gourlet-Fleury Sylvie, Maniatis Danae, De Haulleville Thales, Baya Fidèle, Beeckman Hans, Beina Denis, Couteron Pierre, Chuyong George B., Dauby Gilles, Doucet Jean-Louis, Droissart Vincent, Dufrêne M., Ewango Corneille, Gillet Jean-François, Gonmadje Christelle Flore, Hart T., Kavali T., Kenfack David, Libalah Moses, Malhi Yadvinder, Makana Jean-Rémy, Pélissier Raphaël, Ploton Pierre, Serckx Adeline, Sonké Bonaventure, Stévart Tariq, Thomas D.W., De Cannière Charles, Bogaert Jan. 2015. Scientific Reports, 5 (1):e13156, 8 p.https://doi.org/10.1038/srep13156 <https://doi.org/10.1038/srep13156> Researchers Seeing Central African forests through their largest trees Bastin, Jean-François Barbier, Nicolas Rejou-Mechain, Maxime Fayolle, Adeline Gourlet-Fleury, Sylvie Maniatis, Danae De Haulleville, Thales Baya, Fidèle Beeckman, Hans Beina, Denis Couteron, Pierre Chuyong, George B. Dauby, Gilles Doucet, Jean-Louis Droissart, Vincent Dufrêne, M. Ewango, Corneille Gillet, Jean-François Gonmadje, Christelle Flore Hart, T. Kavali, T. Kenfack, David Libalah, Moses Malhi, Yadvinder Makana, Jean-Rémy Pélissier, Raphaël Ploton, Pierre Serckx, Adeline Sonké, Bonaventure Stévart, Tariq Thomas, D.W. De Cannière, Charles Bogaert, Jan eng 2015 Scientific Reports K01 - Foresterie - Considérations générales U30 - Méthodes de recherche F40 - Écologie végétale Large tropical trees and a few dominant species were recently identified as the main structuring elements of tropical forests. However, such result did not translate yet into quantitative approaches which are essential to understand, predict and monitor forest functions and composition over large, often poorly accessible territories. Here we show that the above-ground biomass (AGB) of the whole forest can be predicted from a few large trees and that the relationship is proved strikingly stable in 175 1-ha plots investigated across 8 sites spanning Central Africa. We designed a generic model predicting AGB with an error of 14% when based on only 5% of the stems, which points to universality in forest structural properties. For the first time in Africa, we identified some dominant species that disproportionally contribute to forest AGB with 1.5% of recorded species accounting for over 50% of the stock of AGB. Consequently, focusing on large trees and dominant species provides precise information on the whole forest stand. This offers new perspectives for understanding the functioning of tropical forests and opens new doors for the development of innovative monitoring strategies. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/585622/1/srep13156.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1038/srep13156 10.1038/srep13156 info:eu-repo/semantics/altIdentifier/doi/10.1038/srep13156 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1038/srep13156 |
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K01 - Foresterie - Considérations générales U30 - Méthodes de recherche F40 - Écologie végétale K01 - Foresterie - Considérations générales U30 - Méthodes de recherche F40 - Écologie végétale |
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K01 - Foresterie - Considérations générales U30 - Méthodes de recherche F40 - Écologie végétale K01 - Foresterie - Considérations générales U30 - Méthodes de recherche F40 - Écologie végétale Bastin, Jean-François Barbier, Nicolas Rejou-Mechain, Maxime Fayolle, Adeline Gourlet-Fleury, Sylvie Maniatis, Danae De Haulleville, Thales Baya, Fidèle Beeckman, Hans Beina, Denis Couteron, Pierre Chuyong, George B. Dauby, Gilles Doucet, Jean-Louis Droissart, Vincent Dufrêne, M. Ewango, Corneille Gillet, Jean-François Gonmadje, Christelle Flore Hart, T. Kavali, T. Kenfack, David Libalah, Moses Malhi, Yadvinder Makana, Jean-Rémy Pélissier, Raphaël Ploton, Pierre Serckx, Adeline Sonké, Bonaventure Stévart, Tariq Thomas, D.W. De Cannière, Charles Bogaert, Jan Seeing Central African forests through their largest trees |
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Large tropical trees and a few dominant species were recently identified as the main structuring elements of tropical forests. However, such result did not translate yet into quantitative approaches which are essential to understand, predict and monitor forest functions and composition over large, often poorly accessible territories. Here we show that the above-ground biomass (AGB) of the whole forest can be predicted from a few large trees and that the relationship is proved strikingly stable in 175 1-ha plots investigated across 8 sites spanning Central Africa. We designed a generic model predicting AGB with an error of 14% when based on only 5% of the stems, which points to universality in forest structural properties. For the first time in Africa, we identified some dominant species that disproportionally contribute to forest AGB with 1.5% of recorded species accounting for over 50% of the stock of AGB. Consequently, focusing on large trees and dominant species provides precise information on the whole forest stand. This offers new perspectives for understanding the functioning of tropical forests and opens new doors for the development of innovative monitoring strategies. |
format |
article |
topic_facet |
K01 - Foresterie - Considérations générales U30 - Méthodes de recherche F40 - Écologie végétale |
author |
Bastin, Jean-François Barbier, Nicolas Rejou-Mechain, Maxime Fayolle, Adeline Gourlet-Fleury, Sylvie Maniatis, Danae De Haulleville, Thales Baya, Fidèle Beeckman, Hans Beina, Denis Couteron, Pierre Chuyong, George B. Dauby, Gilles Doucet, Jean-Louis Droissart, Vincent Dufrêne, M. Ewango, Corneille Gillet, Jean-François Gonmadje, Christelle Flore Hart, T. Kavali, T. Kenfack, David Libalah, Moses Malhi, Yadvinder Makana, Jean-Rémy Pélissier, Raphaël Ploton, Pierre Serckx, Adeline Sonké, Bonaventure Stévart, Tariq Thomas, D.W. De Cannière, Charles Bogaert, Jan |
author_facet |
Bastin, Jean-François Barbier, Nicolas Rejou-Mechain, Maxime Fayolle, Adeline Gourlet-Fleury, Sylvie Maniatis, Danae De Haulleville, Thales Baya, Fidèle Beeckman, Hans Beina, Denis Couteron, Pierre Chuyong, George B. Dauby, Gilles Doucet, Jean-Louis Droissart, Vincent Dufrêne, M. Ewango, Corneille Gillet, Jean-François Gonmadje, Christelle Flore Hart, T. Kavali, T. Kenfack, David Libalah, Moses Malhi, Yadvinder Makana, Jean-Rémy Pélissier, Raphaël Ploton, Pierre Serckx, Adeline Sonké, Bonaventure Stévart, Tariq Thomas, D.W. De Cannière, Charles Bogaert, Jan |
author_sort |
Bastin, Jean-François |
title |
Seeing Central African forests through their largest trees |
title_short |
Seeing Central African forests through their largest trees |
title_full |
Seeing Central African forests through their largest trees |
title_fullStr |
Seeing Central African forests through their largest trees |
title_full_unstemmed |
Seeing Central African forests through their largest trees |
title_sort |
seeing central african forests through their largest trees |
url |
http://agritrop.cirad.fr/585622/ http://agritrop.cirad.fr/585622/1/srep13156.pdf |
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