Water availability is the main climate driver of neotropical tree growth

Climate models for the coming century predict rainfall reduction in the Amazonian region, including change in water availability for tropical rainforests. Here, we test the extent to which climate variables related to water regime, temperature and irradiance shape the growth trajectories of neotropical trees. o We developed a diameter growth model explicitly designed to work with asynchronous climate and growth data. Growth trajectories of 205 individual trees from 54 neotropical species censused every 2 months over a 4-year period were used to rank 9 climate variables and find the best predictive model. o About 9% of the individual variation in tree growth was imputable to the seasonal variation of climate. Relative extractable water was the main predictor and alone explained more than 60% of the climate effect on tree growth, i.e. 5.4% of the individual variation in tree growth. Furthermore, the global annual tree growth was more dependent on the diameter increment at the onset of the rain season than on the duration of dry season. o The best predictive model included 3 climate variables: relative extractable water, minimum temperature and irradiance. The root mean squared error of prediction (0.035 mm.d-1) was slightly above the mean value of the growth (0.026 mm.d-1). o Amongst climate variables, we highlight the predominant role of water availability in determining seasonal variation in tree growth of neotropical forest trees and the need to include these relationships in forest simulators to test, in silico, the impact of different climate scenarios on the future dynamics of the rainforest.

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Main Authors: Wagner, Fabien, Rossi, Vivien, Stahl, Clément, Bonal, Damien, Hérault, Bruno
Format: article biblioteca
Language:eng
Subjects:F62 - Physiologie végétale - Croissance et développement, U10 - Informatique, mathématiques et statistiques, K01 - Foresterie - Considérations générales, forêt tropicale humide, modèle de simulation, croissance, arbre forestier, changement climatique, http://aims.fao.org/aos/agrovoc/c_7976, http://aims.fao.org/aos/agrovoc/c_24242, http://aims.fao.org/aos/agrovoc/c_3394, http://aims.fao.org/aos/agrovoc/c_3052, http://aims.fao.org/aos/agrovoc/c_1666, http://aims.fao.org/aos/agrovoc/c_3093, http://aims.fao.org/aos/agrovoc/c_3081,
Online Access:http://agritrop.cirad.fr/563967/
http://agritrop.cirad.fr/563967/1/document_563967.pdf
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spelling dig-cirad-fr-5639672024-01-28T20:21:29Z http://agritrop.cirad.fr/563967/ http://agritrop.cirad.fr/563967/ Water availability is the main climate driver of neotropical tree growth. Wagner Fabien, Rossi Vivien, Stahl Clément, Bonal Damien, Hérault Bruno. 2012. PloS One, 7 (4):e34074, 19 p.https://doi.org/10.1371/journal.pone.0034074 <https://doi.org/10.1371/journal.pone.0034074> Water availability is the main climate driver of neotropical tree growth Wagner, Fabien Rossi, Vivien Stahl, Clément Bonal, Damien Hérault, Bruno eng 2012 PloS One F62 - Physiologie végétale - Croissance et développement U10 - Informatique, mathématiques et statistiques K01 - Foresterie - Considérations générales forêt tropicale humide modèle de simulation croissance arbre forestier changement climatique http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_1666 Guyane française France http://aims.fao.org/aos/agrovoc/c_3093 http://aims.fao.org/aos/agrovoc/c_3081 Climate models for the coming century predict rainfall reduction in the Amazonian region, including change in water availability for tropical rainforests. Here, we test the extent to which climate variables related to water regime, temperature and irradiance shape the growth trajectories of neotropical trees. o We developed a diameter growth model explicitly designed to work with asynchronous climate and growth data. Growth trajectories of 205 individual trees from 54 neotropical species censused every 2 months over a 4-year period were used to rank 9 climate variables and find the best predictive model. o About 9% of the individual variation in tree growth was imputable to the seasonal variation of climate. Relative extractable water was the main predictor and alone explained more than 60% of the climate effect on tree growth, i.e. 5.4% of the individual variation in tree growth. Furthermore, the global annual tree growth was more dependent on the diameter increment at the onset of the rain season than on the duration of dry season. o The best predictive model included 3 climate variables: relative extractable water, minimum temperature and irradiance. The root mean squared error of prediction (0.035 mm.d-1) was slightly above the mean value of the growth (0.026 mm.d-1). o Amongst climate variables, we highlight the predominant role of water availability in determining seasonal variation in tree growth of neotropical forest trees and the need to include these relationships in forest simulators to test, in silico, the impact of different climate scenarios on the future dynamics of the rainforest. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/563967/1/document_563967.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1371/journal.pone.0034074 10.1371/journal.pone.0034074 info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0034074 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1371/journal.pone.0034074
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
forêt tropicale humide
modèle de simulation
croissance
arbre forestier
changement climatique
http://aims.fao.org/aos/agrovoc/c_7976
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_3052
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_3093
http://aims.fao.org/aos/agrovoc/c_3081
F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
forêt tropicale humide
modèle de simulation
croissance
arbre forestier
changement climatique
http://aims.fao.org/aos/agrovoc/c_7976
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_3052
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_3093
http://aims.fao.org/aos/agrovoc/c_3081
spellingShingle F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
forêt tropicale humide
modèle de simulation
croissance
arbre forestier
changement climatique
http://aims.fao.org/aos/agrovoc/c_7976
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_3052
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_3093
http://aims.fao.org/aos/agrovoc/c_3081
F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
forêt tropicale humide
modèle de simulation
croissance
arbre forestier
changement climatique
http://aims.fao.org/aos/agrovoc/c_7976
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_3052
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_3093
http://aims.fao.org/aos/agrovoc/c_3081
Wagner, Fabien
Rossi, Vivien
Stahl, Clément
Bonal, Damien
Hérault, Bruno
Water availability is the main climate driver of neotropical tree growth
description Climate models for the coming century predict rainfall reduction in the Amazonian region, including change in water availability for tropical rainforests. Here, we test the extent to which climate variables related to water regime, temperature and irradiance shape the growth trajectories of neotropical trees. o We developed a diameter growth model explicitly designed to work with asynchronous climate and growth data. Growth trajectories of 205 individual trees from 54 neotropical species censused every 2 months over a 4-year period were used to rank 9 climate variables and find the best predictive model. o About 9% of the individual variation in tree growth was imputable to the seasonal variation of climate. Relative extractable water was the main predictor and alone explained more than 60% of the climate effect on tree growth, i.e. 5.4% of the individual variation in tree growth. Furthermore, the global annual tree growth was more dependent on the diameter increment at the onset of the rain season than on the duration of dry season. o The best predictive model included 3 climate variables: relative extractable water, minimum temperature and irradiance. The root mean squared error of prediction (0.035 mm.d-1) was slightly above the mean value of the growth (0.026 mm.d-1). o Amongst climate variables, we highlight the predominant role of water availability in determining seasonal variation in tree growth of neotropical forest trees and the need to include these relationships in forest simulators to test, in silico, the impact of different climate scenarios on the future dynamics of the rainforest.
format article
topic_facet F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
forêt tropicale humide
modèle de simulation
croissance
arbre forestier
changement climatique
http://aims.fao.org/aos/agrovoc/c_7976
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_3052
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_3093
http://aims.fao.org/aos/agrovoc/c_3081
author Wagner, Fabien
Rossi, Vivien
Stahl, Clément
Bonal, Damien
Hérault, Bruno
author_facet Wagner, Fabien
Rossi, Vivien
Stahl, Clément
Bonal, Damien
Hérault, Bruno
author_sort Wagner, Fabien
title Water availability is the main climate driver of neotropical tree growth
title_short Water availability is the main climate driver of neotropical tree growth
title_full Water availability is the main climate driver of neotropical tree growth
title_fullStr Water availability is the main climate driver of neotropical tree growth
title_full_unstemmed Water availability is the main climate driver of neotropical tree growth
title_sort water availability is the main climate driver of neotropical tree growth
url http://agritrop.cirad.fr/563967/
http://agritrop.cirad.fr/563967/1/document_563967.pdf
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AT rossivivien wateravailabilityisthemainclimatedriverofneotropicaltreegrowth
AT stahlclement wateravailabilityisthemainclimatedriverofneotropicaltreegrowth
AT bonaldamien wateravailabilityisthemainclimatedriverofneotropicaltreegrowth
AT heraultbruno wateravailabilityisthemainclimatedriverofneotropicaltreegrowth
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