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SIIA Público
SISTEMA INTEGRAL DE INFORMACIÓN ACADÉMICA - PÚBLICO
Título del libro: 2020 Ieee Latin American Grss & Isprs Remote Sensing Conference (lagirs) Título del capítulo: WHICH VARIABLES IN FOREST SURVEY DATA CAN BETTER DISTINGUISH CONSERVED AND DEGRADED TROPICAL DRY FOREST?
Forest degradation; Tropicalforest; Canopy cover; Biomass; Tree height
Resumen:
Y This paper presents the results of a statistical study of forest
inventory data for tropical dry forest in Ayuquila River Basin, Jalisco
state, Mexico. The field inventory was carried out between May-June of
2019 which is at the end of dry season and the beginning of raining
season. The field inventory data were collected in 43 plots of 500 m(2)
each which were designed in a way to include tropical dry forests in two
conditions: degraded and conserved. In each plot, the collected data
include DBH, tree height, number of trees per plot, and the density of
tree stems. A study was carried out to find out if there are
statistically significant differences variables relating to forest
structure between degraded and conserved status. The Mann-Whitney test
shows that there is significant differences in canopy cover, biomass,
tree height, and basal area. This information is important since it
helps to understand whether and how forest degradation can be detected
using remote sensing data.
