Modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes
Along with being home to a huge variety of plants and wildlife, rainforests also play an important role in storing carbon: the Amazon rainforest alone holds around 30% of the total carbon stored in land-based ecosystems, thus playing a major role in climate change mitigation. When Amazonian forests are selectively logged to extract high-value timber, part of this stored carbon is lost, but the loss can be compensated for in the medium to long term if the forest is left to regrow. New trees and trees that survived the logging grow to fill the gaps left by the felled trees. However, it is not clear how differences in the forest (for example, forest maturity), environmental factors (such as climate or soil) and the degree of the disturbance caused by the logging affect the ability of the forest ecosystem to recover the lost carbon. We used computer modeling to analyze data from over a hundred different forest plots across the Amazon rainforest. Our results show that the forest's ability to recover carbon after selective logging greatly differs between regions. For example, the overall amount of carbon recovered in the first ten years is predicted to be higher in a region in the north known as the Guiana Shield than in the south of the Amazonian basin where the climate is less favorable. Our findings highlight the key role the trees that survive selective logging play in carbon recovery.
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dig-cirad-fr-5931702023-06-15T16:01:35Z http://agritrop.cirad.fr/593170/ http://agritrop.cirad.fr/593170/ Modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes. Piponiot-Laroche Camille, Herault Bruno, Sist Plinio. 2018. In : Actes de conférences : Le printemps de Baillarguet. CIRAD. Montpellier : CIRAD, Résumé, 19. Le printemps de Baillarguet 2018. 10, Montpellier, 28 Mai 2018/29 Mai 2018.http://printemps-baillarguet.e-monsite.com/pages/acte-de-conference-2018.html <http://printemps-baillarguet.e-monsite.com/pages/acte-de-conference-2018.html> Researchers Modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes Piponiot-Laroche, Camille Herault, Bruno Sist, Plinio fre 2018 CIRAD Actes de conférences : Le printemps de Baillarguet Along with being home to a huge variety of plants and wildlife, rainforests also play an important role in storing carbon: the Amazon rainforest alone holds around 30% of the total carbon stored in land-based ecosystems, thus playing a major role in climate change mitigation. When Amazonian forests are selectively logged to extract high-value timber, part of this stored carbon is lost, but the loss can be compensated for in the medium to long term if the forest is left to regrow. New trees and trees that survived the logging grow to fill the gaps left by the felled trees. However, it is not clear how differences in the forest (for example, forest maturity), environmental factors (such as climate or soil) and the degree of the disturbance caused by the logging affect the ability of the forest ecosystem to recover the lost carbon. We used computer modeling to analyze data from over a hundred different forest plots across the Amazon rainforest. Our results show that the forest's ability to recover carbon after selective logging greatly differs between regions. For example, the overall amount of carbon recovered in the first ten years is predicted to be higher in a region in the north known as the Guiana Shield than in the south of the Amazonian basin where the climate is less favorable. Our findings highlight the key role the trees that survive selective logging play in carbon recovery. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/593170/1/ID593170.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html http://printemps-baillarguet.e-monsite.com/pages/acte-de-conference-2018.html info:eu-repo/semantics/altIdentifier/purl/http://printemps-baillarguet.e-monsite.com/pages/acte-de-conference-2018.html |
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Along with being home to a huge variety of plants and wildlife, rainforests also play an important role in storing carbon: the Amazon rainforest alone holds around 30% of the total carbon stored in land-based ecosystems, thus playing a major role in climate change mitigation. When Amazonian forests are selectively logged to extract high-value timber, part of this stored carbon is lost, but the loss can be compensated for in the medium to long term if the forest is left to regrow. New trees and trees that survived the logging grow to fill the gaps left by the felled trees. However, it is not clear how differences in the forest (for example, forest maturity), environmental factors (such as climate or soil) and the degree of the disturbance caused by the logging affect the ability of the forest ecosystem to recover the lost carbon. We used computer modeling to analyze data from over a hundred different forest plots across the Amazon rainforest. Our results show that the forest's ability to recover carbon after selective logging greatly differs between regions. For example, the overall amount of carbon recovered in the first ten years is predicted to be higher in a region in the north known as the Guiana Shield than in the south of the Amazonian basin where the climate is less favorable. Our findings highlight the key role the trees that survive selective logging play in carbon recovery. |
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conference_item |
author |
Piponiot-Laroche, Camille Herault, Bruno Sist, Plinio |
spellingShingle |
Piponiot-Laroche, Camille Herault, Bruno Sist, Plinio Modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes |
author_facet |
Piponiot-Laroche, Camille Herault, Bruno Sist, Plinio |
author_sort |
Piponiot-Laroche, Camille |
title |
Modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes |
title_short |
Modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes |
title_full |
Modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes |
title_fullStr |
Modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes |
title_full_unstemmed |
Modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes |
title_sort |
modéliser la dynamique post-exploitation de la biomasse des forêts amazoniennes |
publisher |
CIRAD |
url |
http://agritrop.cirad.fr/593170/ http://agritrop.cirad.fr/593170/1/ID593170.pdf |
work_keys_str_mv |
AT piponiotlarochecamille modeliserladynamiquepostexploitationdelabiomassedesforetsamazoniennes AT heraultbruno modeliserladynamiquepostexploitationdelabiomassedesforetsamazoniennes AT sistplinio modeliserladynamiquepostexploitationdelabiomassedesforetsamazoniennes |
_version_ |
1768991674984300544 |