La densidad, riqueza y composición arbóreas definen parches detectados remotamente en una selva subperennifolia

Tree density, species richness, and composition drive vegetation patches identified from remotely-sensed data in a semi evergreen tropical forest

dc.creatorALEJANDRA DEL PILAR OCHOA FRANCO
dc.creatorJOSE RENE VALDEZ LAZALDE
dc.creatorHECTOR MANUEL DE LOS SANTOS POSADAS
dc.creatorJOSE LUIS HERNANDEZ STEFANONI
dc.creatorJUAN IGNACIO VALDEZ HERNANDEZ
dc.creatorGREGORIO ANGELES PEREZ
dc.date2019
dc.date.accessioned2023-07-21T19:19:13Z
dc.date.available2023-07-21T19:19:13Z
dc.identifierhttp://cicy.repositorioinstitucional.mx/jspui/handle/1003/1794
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7737348
dc.descriptionTree density, species richness, and composition drive vegetation patches identified from remotely-sensed data in a semi evergreen tropical forest. A proposal for characterizing habitat of forests, obtained from an object-oriented classification of RapidEye multiespectral imagery, based on dissimilarity matrices of vegetation structure, species diversity and composition is presented. The study area is a forested landscape mosaic after slash and burn agriculture (Ac: 8-23 years ago), selective logging (Fs: 43-53 years ago), and selective logging and forest fire (Fc: 21-28 years ago). The site is located in the central part of Quintana Roo, México, where three vegetation patches were delineated according to remotely sensed multiespectral imagery. Mean differences between vegetation structure properties of each vegetation patch were obtained through a permutational multivariate analysis of variance (P < 0.001). Species richness, stem density per hectare, and the axis-1 scores of the non-metric multidimensional scaling ordination of specific composition were identified as the vegetation attributes more relevant to differentiate the vegetation patches by a multinomial logistic model. Fc vegetation patch is characterized by the greatest mean values on Shannon-Wiener index, species richness, and stem density. The Fs has the greatest mean values of canopy height, basal area, and biomass at 80 percentile, and the Ac vegetation patch has the lowest values of all mentioned metrics. The species with the greatest relative importance value were: Ac: Bursera simaruba and Piscidia piscipula, Fs: Gymnanthes lucida and Manilkara zapota, Fc: G. lucida and B. simaruba. The uncertainty associated with the metrics assessed by vegetation patch was smaller than the uncertainty of the whole area, because of the efficient variability aggregation of the field data. We conclude that multiespectral information is a reliable tool for distinguishing vegetation patches with specific features, as stem density, specific composition, and species richness.
dc.formatapplication/pdf
dc.languagespa
dc.relationinfo:eu-repo/semantics/datasetDOI/http://dx.doi.org/10.15517/rbt.v67i4.34422 
dc.relationcitation:Ochoa-Franco, A. D. P., Valdez-Lazalde, J. R., Santos-Posadas, H. M. D. L., Hernández-Stefanoni, J. L., Valdez-Hernández, J. I., & Ángeles-Pérez, G. (2019). Tree density, species richness, and composition drive vegetation patches identified from remotely-sensed data in a semi evergreen tropical forest. Revista de Biología Tropical, 67(4), 692-707.
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceRevista de Biología Tropical, 67(4), 692-707, 2019
dc.subjectinfo:eu-repo/classification/Autores/IMAGE SEGMENTATION
dc.subjectinfo:eu-repo/classification/Autores/RELATIVE IMPORTANCE VALUE
dc.subjectinfo:eu-repo/classification/Autores/PERMANOVA
dc.subjectinfo:eu-repo/classification/Autores/MULTINOMIAL MODEL
dc.subjectinfo:eu-repo/classification/Autores/TROPICAL FOREST
dc.subjectinfo:eu-repo/classification/Autores/HABITAT CHARACTERIZATION
dc.subjectinfo:eu-repo/classification/cti/2
dc.subjectinfo:eu-repo/classification/cti/24
dc.subjectinfo:eu-repo/classification/cti/2417
dc.subjectinfo:eu-repo/classification/cti/241715
dc.subjectinfo:eu-repo/classification/cti/241715
dc.titleLa densidad, riqueza y composición arbóreas definen parches detectados remotamente en una selva subperennifolia
dc.titleTree density, species richness, and composition drive vegetation patches identified from remotely-sensed data in a semi evergreen tropical forest
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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