作者: Victor M. Rodríguez-Moreno , Thomas G. Kretzschmar , J .Saúl Padilla-Ramírez
DOI: 10.1007/S10661-015-4676-2
关键词: Peninsula 、 Geospatial analysis 、 Soil texture 、 Land use 、 Geology 、 Aridity index 、 Shapefile 、 Soil horizon 、 Structural basin 、 Hydrology
摘要: In a vast semiarid region of the Baja California Peninsula, remote sensing and GIS techniques were applied to moderate resolution images Landsat 5 TM explore geospatial correlation among grid aridity index (AI), shapefiles geologic strata, land use, geological fractures. A dataset randomized sample points in time-series one hydrologic year along with vector file delineated fractures—including area between their left/right parallel buffer lines—was used as mask analysis. MANOVA results significant (p < 0.05) for basin. Overall reveal effects soil texture on water retention deeper horizons rate vertical motion rainwater. Despite fact that fractures underlie large number biotic communities, both latitude longitude gradients peninsula, no statistical significance was observed themselves or areas lines. One pulse rainfall event documented by AI maps enabling robust vegetative response early summer an abnormal amount rain provided tropical storm Julio. grids appear be useful characterizing ecosystem’s dynamism. New options are suggested this research strategy expanding datasets incorporating geographic exclusion areas.