作者: María José Martínez-Harms , Sandra Quijas , Adina M. Merenlender , Patricia Balvanera
DOI: 10.1016/J.ECOSER.2016.09.007
关键词: Land cover 、 Regression analysis 、 Environmental data 、 Variance (land use) 、 Firewood 、 Ecosystem services 、 Environmental science 、 Vegetation 、 Watershed 、 Environmental resource management 、 Agroforestry
摘要: Ecosystem service maps are increasingly being used to prioritize management and conservation decisions. Most of these rely on estimates ecosystem services estimated for individual land cover classes rather than incorporating field data. We developed combined models (CFM) using regression analysis estimate based the observed relationship between environmental data measurements services. Local supply was from vegetation measured at fifty sites covering widest range conditions across a watershed in Mexico. compared accuracy CFM approach forage, timber, firewood carbon storage over more commonly “look up table” method relying uniform by type. The revealed higher when approach. resulting explained large fraction variance (42–89%) combination cover, remote sensing data, hydrology distance areas. In addition, mapping residuals Geographically Weighted Regressions provided an uncertainty model results. This provides better delivery managers decision-makers.