Mapping forest age and characterizing vegetation structure and species composition in tropical dry forests

Land use changes generate a mosaic of forest patches with different ages of abandonment (i.e. succession) intermingled with other land uses. Mapping the successional age of vegetation is crucial to understand carbon accumulation patterns and the recovery of vegetation structure, diversity, and compo...

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Autores principales:	G. Reyes-Palomeque, J.M. Dupuy, C.A. Portillo-Quintero, J.L. Andrade, F.J. Tun-Dzul, J.L. Hernández-Stefanoni
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Stand age Land cover classification Secondary forest Species richness and composition Vegetation attributes Chronosequence Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/708cea467b9f47f6a60d30b2033ae77e
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id	oai:doaj.org-article:708cea467b9f47f6a60d30b2033ae77e
record_format	dspace
spelling	oai:doaj.org-article:708cea467b9f47f6a60d30b2033ae77e2021-12-01T04:30:38ZMapping forest age and characterizing vegetation structure and species composition in tropical dry forests1470-160X10.1016/j.ecolind.2020.106955https://doaj.org/article/708cea467b9f47f6a60d30b2033ae77e2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20308943https://doaj.org/toc/1470-160XLand use changes generate a mosaic of forest patches with different ages of abandonment (i.e. succession) intermingled with other land uses. Mapping the successional age of vegetation is crucial to understand carbon accumulation patterns and the recovery of vegetation structure, diversity, and composition of forests over time. The overall objective of this research was to produce maps portraying secondary vegetation age classes and to assess how successional age classes can be related to vegetation structure, diversity and composition in two types of tropical dry forests (TDF) in the Yucatan Peninsula. We used a two-stage image classification process. First, SPOT-5 imagery were segmented and then classified using a Random Forests method. Second, the classified images were post-processed to rectify any classification errors. Additionally, we evaluated the association between the different forest age classes and vegetation structure, species richness and composition using a separate Random Forests classification of field plot data. Post-processing improved the accuracy of the Random Forests classifications by 14.19% and 16.28% for the tropical semi-deciduous and semi-evergreen forests, to attain final accuracy values of 91% and 88.37%, respectively. Vegetation structure, richness and composition were all strongly associated with successional age, accounting for 77.7% and 84.7% of the total variation among forest age classes for the tropical semi-deciduous and semi-evergreen forests respectively. Therefore, the forest age maps obtained can be related to attributes of vegetation structure, diversity and composition that are useful for biodiversity conservation, forest management and climate change mitigation.G. Reyes-PalomequeJ.M. DupuyC.A. Portillo-QuinteroJ.L. AndradeF.J. Tun-DzulJ.L. Hernández-StefanoniElsevierarticleStand ageLand cover classificationSecondary forestSpecies richness and compositionVegetation attributesChronosequenceEcologyQH540-549.5ENEcological Indicators, Vol 120, Iss , Pp 106955- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Stand age Land cover classification Secondary forest Species richness and composition Vegetation attributes Chronosequence Ecology QH540-549.5
spellingShingle	Stand age Land cover classification Secondary forest Species richness and composition Vegetation attributes Chronosequence Ecology QH540-549.5 G. Reyes-Palomeque J.M. Dupuy C.A. Portillo-Quintero J.L. Andrade F.J. Tun-Dzul J.L. Hernández-Stefanoni Mapping forest age and characterizing vegetation structure and species composition in tropical dry forests
description	Land use changes generate a mosaic of forest patches with different ages of abandonment (i.e. succession) intermingled with other land uses. Mapping the successional age of vegetation is crucial to understand carbon accumulation patterns and the recovery of vegetation structure, diversity, and composition of forests over time. The overall objective of this research was to produce maps portraying secondary vegetation age classes and to assess how successional age classes can be related to vegetation structure, diversity and composition in two types of tropical dry forests (TDF) in the Yucatan Peninsula. We used a two-stage image classification process. First, SPOT-5 imagery were segmented and then classified using a Random Forests method. Second, the classified images were post-processed to rectify any classification errors. Additionally, we evaluated the association between the different forest age classes and vegetation structure, species richness and composition using a separate Random Forests classification of field plot data. Post-processing improved the accuracy of the Random Forests classifications by 14.19% and 16.28% for the tropical semi-deciduous and semi-evergreen forests, to attain final accuracy values of 91% and 88.37%, respectively. Vegetation structure, richness and composition were all strongly associated with successional age, accounting for 77.7% and 84.7% of the total variation among forest age classes for the tropical semi-deciduous and semi-evergreen forests respectively. Therefore, the forest age maps obtained can be related to attributes of vegetation structure, diversity and composition that are useful for biodiversity conservation, forest management and climate change mitigation.
format	article
author	G. Reyes-Palomeque J.M. Dupuy C.A. Portillo-Quintero J.L. Andrade F.J. Tun-Dzul J.L. Hernández-Stefanoni
author_facet	G. Reyes-Palomeque J.M. Dupuy C.A. Portillo-Quintero J.L. Andrade F.J. Tun-Dzul J.L. Hernández-Stefanoni
author_sort	G. Reyes-Palomeque
title	Mapping forest age and characterizing vegetation structure and species composition in tropical dry forests
title_short	Mapping forest age and characterizing vegetation structure and species composition in tropical dry forests
title_full	Mapping forest age and characterizing vegetation structure and species composition in tropical dry forests
title_fullStr	Mapping forest age and characterizing vegetation structure and species composition in tropical dry forests
title_full_unstemmed	Mapping forest age and characterizing vegetation structure and species composition in tropical dry forests
title_sort	mapping forest age and characterizing vegetation structure and species composition in tropical dry forests
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/708cea467b9f47f6a60d30b2033ae77e
work_keys_str_mv	AT greyespalomeque mappingforestageandcharacterizingvegetationstructureandspeciescompositionintropicaldryforests AT jmdupuy mappingforestageandcharacterizingvegetationstructureandspeciescompositionintropicaldryforests AT caportilloquintero mappingforestageandcharacterizingvegetationstructureandspeciescompositionintropicaldryforests AT jlandrade mappingforestageandcharacterizingvegetationstructureandspeciescompositionintropicaldryforests AT fjtundzul mappingforestageandcharacterizingvegetationstructureandspeciescompositionintropicaldryforests AT jlhernandezstefanoni mappingforestageandcharacterizingvegetationstructureandspeciescompositionintropicaldryforests
_version_	1718405849696698368

Mapping forest age and characterizing vegetation structure and species composition in tropical dry forests

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