Review of spatial indices used in forest inventory and their application in tropical forests

• Autores: Ledo, Alicia, Condés, Sonia, Montes, Fernando
• Formato: artículo
• Fecha de Publicación: 2012
• Institución: Universidad Nacional Mayor de San Marcos
• Repositorio: Revista UNMSM - Revista Peruana de Biología
• Lenguaje: español
• OAI Identifier: oai:ojs.csi.unmsm:article/799
• Enlace del recurso: https://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/799
• Nivel de acceso: acceso abierto
• Materia: diversity index; forest structure; spatial pattern; biodiversity; cloud forest; Andes; Peru.; índices de diversidad; estructura forestal; patrón espacial; biodiversidad; bosques de niebla; Perú.

This paper reviews the different indices used to describe and characterize the horizontal structure or spatial pattern in forest stands, with particular emphasis on those which have been applied to the study of tropical forests. These indices have been classified according to their data-inventory requirements. A number of aspects concerned with the statistical properties of the most commonly employed indices (Fisher and Morisita indices, LQV techniques and SADIE in the quadrats group; Clark-Evans, Pielou and Byth-Ripley in the nearest-neighbour group; The empirical L(d) and O-ring functions in the mapped data group) and their applicability to tropical stands, have been tested in experimental plots located in an Andean tropical forest.