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Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests

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Bibliographic Details
Published in:Journal of Landscape Ecology
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Landscape Ecology
description
discipline_display Biology
discipline_facet Biology
format Online Article
RSS Article
genre Journal Article
id rss_article:94092
institution FRELIP
journal_source_facet Journal of Landscape Ecology
last_indexed 2026-06-20T21:46:24.352Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests
Biology
General
Biology
sub_discipline_display General
sub_discipline_facet General
subject_display Biology
General
Biology
subject_facet Biology
General
Biology
title Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests
title_alt El acoplamiento de índices de diversidad con modelos de regresión potenciados predice la abundancia de especies y los patrones espaciales de la comunidad en bosques secos afromontanos
Couplage des indices de diversité avec des modèles de régression boostée pour prédire l'abondance des espèces et les patrons de communauté spatiale dans les forêts sèches afro-montagnardes
Acoplando Índices de Diversidade com Modelos de Regressão Reforçada Prevê Abundância de Espécies e Padrões de Comunidade Espacial em Florestas Afromontanas Secas
title_auth Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests
title_es_txt El acoplamiento de índices de diversidad con modelos de regresión potenciados predice la abundancia de especies y los patrones espaciales de la comunidad en bosques secos afromontanos
title_fr_txt Couplage des indices de diversité avec des modèles de régression boostée pour prédire l'abondance des espèces et les patrons de communauté spatiale dans les forêts sèches afro-montagnardes
title_full Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests
title_fullStr Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests
title_full_unstemmed Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests
title_pt_txt Acoplando Índices de Diversidade com Modelos de Regressão Reforçada Prevê Abundância de Espécies e Padrões de Comunidade Espacial em Florestas Afromontanas Secas
title_short Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests
title_sort coupling diversity indices with boosted regression trees predicts species abundance and spatial community patterns in dry afromontane forests
topic Biology
General
Biology
url https://sciendo.com/article/10.2478/jlecol-2026-0031