A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems
There are strong uncertainties regarding LAI dynamics in forest ecosystems in response to climate change.While empirical growth & yield models (G&YMs) provide good estimations of tree growth at the standlevel on a yearly to decennial scale, process-based models (PBMs) use LAI dynamics as a key variable forenabling the accurate prediction of tree growth over short time scales. Bridging the gap between PBMsand G&YMs could improve the prediction of forest growth and, therefore, carbon, water and nutrientfluxes by combining modeling approaches at the stand level.Our study aimed to estimate monthly changes of leaf area in response to climate variations fromsparse measurements of foliage area and biomass. A leaf population probabilistic model (SLCD) wasdesigned to simulate foliage renewal. The leaf population was distributed in monthly cohorts, and thetotal population size was limited depending on forest age and productivity. Foliage dynamics were drivenby a foliation function and the probabilities ruling leaf aging or fall. Their formulation depends on theforest environment.The model was applied to three tree species growing under contrasting climates and soil types. Intropical Brazilian evergreen broadleaf eucalypt plantations, the phenology was described using 8 parameters. A multi-objective evolutionary algorithm method (MOEA) was used to fit the model parameterson litterfall and LAI data over an entire stand rotation. Field measurements from a second eucalypt standwere used to validate the model. Seasonal LAI changes were accurately rendered for both sites (R2= 0.898adjustment, R2= 0.698 validation). Litterfall production was correctly simulated (R2= 0.562, R2= 0.4018validation) and may be improved by using additional validation data in future work. In two French temperate deciduous forests (beech and oak), we adapted phenological sub-modules of the CASTANEA modelto simulate canopy dynamics, and SLCD was validated using LAI measurements. The phenological patterns were simulated with good accuracy in the two cases studied. However, LAImaxwas not accuratelysimulated in the beech forest, and further improvement is required.Our probabilistic approach is expected to contribute to improving predictions of LAI dynamics. Themodel formalism is general and suitable to broadleaf forests for a large range of ecological conditions.© 2014 Elsevier B.V. All rights reserved.
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F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques F40 - Écologie végétale P40 - Météorologie et climatologie Eucalyptus plantations zone climatique changement climatique forêt tropicale forêt tempérée modèle mathématique croissance rendement des cultures Houppier relation plante sol facteur du milieu écosystème écologie Quercus Fagus étude de cas http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_1669 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_35649 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_10176 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_16146 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_6409 http://aims.fao.org/aos/agrovoc/c_2779 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_1070 http://aims.fao.org/aos/agrovoc/c_3081 F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques F40 - Écologie végétale P40 - Météorologie et climatologie Eucalyptus plantations zone climatique changement climatique forêt tropicale forêt tempérée modèle mathématique croissance rendement des cultures Houppier relation plante sol facteur du milieu écosystème écologie Quercus Fagus étude de cas http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_1669 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_35649 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_10176 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_16146 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_6409 http://aims.fao.org/aos/agrovoc/c_2779 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_1070 http://aims.fao.org/aos/agrovoc/c_3081 |
spellingShingle |
F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques F40 - Écologie végétale P40 - Météorologie et climatologie Eucalyptus plantations zone climatique changement climatique forêt tropicale forêt tempérée modèle mathématique croissance rendement des cultures Houppier relation plante sol facteur du milieu écosystème écologie Quercus Fagus étude de cas http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_1669 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_35649 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_10176 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_16146 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_6409 http://aims.fao.org/aos/agrovoc/c_2779 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_1070 http://aims.fao.org/aos/agrovoc/c_3081 F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques F40 - Écologie végétale P40 - Météorologie et climatologie Eucalyptus plantations zone climatique changement climatique forêt tropicale forêt tempérée modèle mathématique croissance rendement des cultures Houppier relation plante sol facteur du milieu écosystème écologie Quercus Fagus étude de cas http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_1669 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_35649 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_10176 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_16146 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_6409 http://aims.fao.org/aos/agrovoc/c_2779 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_1070 http://aims.fao.org/aos/agrovoc/c_3081 Sainte-Marie, Julien Saint André, Laurent Nouvellon, Yann Laclau, Jean-Paul Roupsard, Olivier Le Maire, Guerric Delpierre, Nicolas Henrot, A. Barrandon, M. A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems |
description |
There are strong uncertainties regarding LAI dynamics in forest ecosystems in response to climate change.While empirical growth & yield models (G&YMs) provide good estimations of tree growth at the standlevel on a yearly to decennial scale, process-based models (PBMs) use LAI dynamics as a key variable forenabling the accurate prediction of tree growth over short time scales. Bridging the gap between PBMsand G&YMs could improve the prediction of forest growth and, therefore, carbon, water and nutrientfluxes by combining modeling approaches at the stand level.Our study aimed to estimate monthly changes of leaf area in response to climate variations fromsparse measurements of foliage area and biomass. A leaf population probabilistic model (SLCD) wasdesigned to simulate foliage renewal. The leaf population was distributed in monthly cohorts, and thetotal population size was limited depending on forest age and productivity. Foliage dynamics were drivenby a foliation function and the probabilities ruling leaf aging or fall. Their formulation depends on theforest environment.The model was applied to three tree species growing under contrasting climates and soil types. Intropical Brazilian evergreen broadleaf eucalypt plantations, the phenology was described using 8 parameters. A multi-objective evolutionary algorithm method (MOEA) was used to fit the model parameterson litterfall and LAI data over an entire stand rotation. Field measurements from a second eucalypt standwere used to validate the model. Seasonal LAI changes were accurately rendered for both sites (R2= 0.898adjustment, R2= 0.698 validation). Litterfall production was correctly simulated (R2= 0.562, R2= 0.4018validation) and may be improved by using additional validation data in future work. In two French temperate deciduous forests (beech and oak), we adapted phenological sub-modules of the CASTANEA modelto simulate canopy dynamics, and SLCD was validated using LAI measurements. The phenological patterns were simulated with good accuracy in the two cases studied. However, LAImaxwas not accuratelysimulated in the beech forest, and further improvement is required.Our probabilistic approach is expected to contribute to improving predictions of LAI dynamics. Themodel formalism is general and suitable to broadleaf forests for a large range of ecological conditions.© 2014 Elsevier B.V. All rights reserved. |
format |
article |
topic_facet |
F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques F40 - Écologie végétale P40 - Météorologie et climatologie Eucalyptus plantations zone climatique changement climatique forêt tropicale forêt tempérée modèle mathématique croissance rendement des cultures Houppier relation plante sol facteur du milieu écosystème écologie Quercus Fagus étude de cas http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_1669 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_35649 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_10176 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_16146 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_6409 http://aims.fao.org/aos/agrovoc/c_2779 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_1070 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Sainte-Marie, Julien Saint André, Laurent Nouvellon, Yann Laclau, Jean-Paul Roupsard, Olivier Le Maire, Guerric Delpierre, Nicolas Henrot, A. Barrandon, M. |
author_facet |
Sainte-Marie, Julien Saint André, Laurent Nouvellon, Yann Laclau, Jean-Paul Roupsard, Olivier Le Maire, Guerric Delpierre, Nicolas Henrot, A. Barrandon, M. |
author_sort |
Sainte-Marie, Julien |
title |
A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems |
title_short |
A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems |
title_full |
A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems |
title_fullStr |
A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems |
title_full_unstemmed |
A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems |
title_sort |
new probabilistic canopy dynamics model (slcd) that is suitable for evergreen and deciduous forest ecosystems |
url |
http://agritrop.cirad.fr/574138/ http://agritrop.cirad.fr/574138/1/document_574138.pdf |
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dig-cirad-fr-5741382024-01-28T22:15:46Z http://agritrop.cirad.fr/574138/ http://agritrop.cirad.fr/574138/ A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems. Sainte-Marie Julien, Saint André Laurent, Nouvellon Yann, Laclau Jean-Paul, Roupsard Olivier, Le Maire Guerric, Delpierre Nicolas, Henrot A., Barrandon M.. 2014. Ecological Modelling, 290 : 121-133.https://doi.org/10.1016/j.ecolmodel.2014.01.026 <https://doi.org/10.1016/j.ecolmodel.2014.01.026> A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems Sainte-Marie, Julien Saint André, Laurent Nouvellon, Yann Laclau, Jean-Paul Roupsard, Olivier Le Maire, Guerric Delpierre, Nicolas Henrot, A. Barrandon, M. eng 2014 Ecological Modelling F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques F40 - Écologie végétale P40 - Météorologie et climatologie Eucalyptus plantations zone climatique changement climatique forêt tropicale forêt tempérée modèle mathématique croissance rendement des cultures Houppier relation plante sol facteur du milieu écosystème écologie Quercus Fagus étude de cas http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_1669 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_35649 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_10176 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_16146 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_6409 http://aims.fao.org/aos/agrovoc/c_2779 http://aims.fao.org/aos/agrovoc/c_24392 Brésil France http://aims.fao.org/aos/agrovoc/c_1070 http://aims.fao.org/aos/agrovoc/c_3081 There are strong uncertainties regarding LAI dynamics in forest ecosystems in response to climate change.While empirical growth & yield models (G&YMs) provide good estimations of tree growth at the standlevel on a yearly to decennial scale, process-based models (PBMs) use LAI dynamics as a key variable forenabling the accurate prediction of tree growth over short time scales. Bridging the gap between PBMsand G&YMs could improve the prediction of forest growth and, therefore, carbon, water and nutrientfluxes by combining modeling approaches at the stand level.Our study aimed to estimate monthly changes of leaf area in response to climate variations fromsparse measurements of foliage area and biomass. A leaf population probabilistic model (SLCD) wasdesigned to simulate foliage renewal. The leaf population was distributed in monthly cohorts, and thetotal population size was limited depending on forest age and productivity. Foliage dynamics were drivenby a foliation function and the probabilities ruling leaf aging or fall. Their formulation depends on theforest environment.The model was applied to three tree species growing under contrasting climates and soil types. Intropical Brazilian evergreen broadleaf eucalypt plantations, the phenology was described using 8 parameters. A multi-objective evolutionary algorithm method (MOEA) was used to fit the model parameterson litterfall and LAI data over an entire stand rotation. Field measurements from a second eucalypt standwere used to validate the model. Seasonal LAI changes were accurately rendered for both sites (R2= 0.898adjustment, R2= 0.698 validation). Litterfall production was correctly simulated (R2= 0.562, R2= 0.4018validation) and may be improved by using additional validation data in future work. In two French temperate deciduous forests (beech and oak), we adapted phenological sub-modules of the CASTANEA modelto simulate canopy dynamics, and SLCD was validated using LAI measurements. The phenological patterns were simulated with good accuracy in the two cases studied. However, LAImaxwas not accuratelysimulated in the beech forest, and further improvement is required.Our probabilistic approach is expected to contribute to improving predictions of LAI dynamics. Themodel formalism is general and suitable to broadleaf forests for a large range of ecological conditions.© 2014 Elsevier B.V. All rights reserved. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/574138/1/document_574138.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.ecolmodel.2014.01.026 10.1016/j.ecolmodel.2014.01.026 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolmodel.2014.01.026 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.ecolmodel.2014.01.026 |