UPR Forêts et Sociétés

L'unité Forêts et Sociétés étudie les forêts tropicales en tant que systèmes écologiques et sociaux soumis à des changements locaux ou globaux pouvant provenir de déterminants naturels, économiques ou politiques.

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31 to 40 of 191 Results

dictionnaire_donnees.pdf 27 juin 2023 - Inventaire à dire d'acteurs des ressources ligneuses de la Forêt Communautaire COPAL (Cameroun) Adobe PDF - 182,6 KB - MD5: 38f530ff320fd4a4783a819c482bcdbf Documentation
Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests 12 juin 2023 Maurent, Eliott; Hérault, Bruno; Piponiot, Camille; Derroire, Géraldine; Delgado, Diego; Finegan, Bryan; Aubry-Kientz, Mélaine; Amani, Bienvenu H. K.; Ngo Bieng, Marie Ange, 2023, "Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests", https://doi.org/10.18167/DVN1/8KL5PC, CIRAD Dataverse, V1, UNF:6:lwNLXD7TLaU0jtYQf/qk1Q== [fileUNF] We developed an original Bayesian hierarchical model of recovery trajectories, considering disturbed forests in a common framework, through a disturbance intensity gradient, inferred with the loss of basal area due to disturbance. As a case study, we tested our modelling approach...
AboveGroundBiomass_DisturbedForest.tab 12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests Tabular Data - 34,8 KB - 7 Variables, 826 Observations - UNF:6:MMDyJrcmziDoymc0ZuZ7Gw== Data Above-ground biomass data in disturbed forests.
AboveGroundBiomass_OldGrowthForest.tab 12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests Tabular Data - 28,5 KB - 5 Variables, 755 Observations - UNF:6:jMAxSlyspL7ZXQn7gdxG/A== Data Above-ground biomass data in old-growth forests.
AGB_model.stan 12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests Unknown - 12,3 KB - MD5: ca1f17ef343cff259b8646f551525bd8 Stan model script to model AGB recovery (long-term process) as used in 2.2 Application
BasalArea_ClearcutFireForest.tab 12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests Tabular Data - 2,1 KB - 6 Variables, 36 Observations - UNF:6:CSS4aFjGZDd72wdMpYCuQQ== Data Basal area data in clearcut+burnt forest.
BasalArea_DisturbedForest.tab 12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests Tabular Data - 33,2 KB - 6 Variables, 826 Observations - UNF:6:sXYjNYXHZ0lIh5Ms6OEA1g== Data Basal area data in disturbed forests.
BasalArea_OldGrowthForest2.tab 12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests Tabular Data - 27,0 KB - 4 Variables, 752 Observations - UNF:6:b6p5YoRfLm3RKVLOFFvSog== Data Basal area data in old-growth forests considered for composition predictions.
BasalArea_OldGrowthForest.tab 12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests Tabular Data - 28,5 KB - 5 Variables, 755 Observations - UNF:6:+2N9jeR4wMz3ABAlhDwL/g== Data Basal area data in old-growth forests considered for AGB and diversity predictions.
BasalArea_SelectivelyLoggedForest.tab 12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests Tabular Data - 39,6 KB - 6 Variables, 684 Observations - UNF:6:uaFOis4kQyxAtweWWTGwjA== Data Basal area data in selectively logged forest.

dictionnaire_donnees.pdf

27 juin 2023 - Inventaire à dire d'acteurs des ressources ligneuses de la Forêt Communautaire COPAL (Cameroun)

Adobe PDF - 182,6 KB -

Documentation

Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests

12 juin 2023

Maurent, Eliott; Hérault, Bruno; Piponiot, Camille; Derroire, Géraldine; Delgado, Diego; Finegan, Bryan; Aubry-Kientz, Mélaine; Amani, Bienvenu H. K.; Ngo Bieng, Marie Ange, 2023, "Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests", https://doi.org/10.18167/DVN1/8KL5PC, CIRAD Dataverse, V1, UNF:6:lwNLXD7TLaU0jtYQf/qk1Q== [fileUNF]

We developed an original Bayesian hierarchical model of recovery trajectories, considering disturbed forests in a common framework, through a disturbance intensity gradient, inferred with the loss of basal area due to disturbance. As a case study, we tested our modelling approach...

AboveGroundBiomass_DisturbedForest.tab

12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests

Tabular Data - 34,8 KB - 7 Variables, 826 Observations -

Data

Above-ground biomass data in disturbed forests.

AboveGroundBiomass_OldGrowthForest.tab

12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests

Tabular Data - 28,5 KB - 5 Variables, 755 Observations -

Data

Above-ground biomass data in old-growth forests.

AGB_model.stan

12 juin 2023 - Data and code of the publication entitled: A common framework to model recovery in disturbed tropical forests