作者: Liwei Ma , Sabine Bicking , Felix Müller
DOI: 10.1016/J.SCITOTENV.2018.08.274
关键词:
摘要: Estimating and mapping Ecosystem Services (ESS) is a primary basis for reasonable ecosystem managing policies. Assessing ESS optimising the accuracy of assessment relevant to identify suitable indicators. This study aims gain better understanding global climate regulation service assessments resulting from application several indicators that have been derived based on Co-Ordination INformation Environment (CORINE) land cover classes. Therefore, 17 CORINE classes were used evaluate their effects distributions annual total Gross Primary Production (GPP), Net (NPP), Soil Organic Carbon (SOC) Stocks (CS) in German federal state Schleswig-Holstein. In addition spatial distributions, correlations distinct quantitative (annual GPP, NPP, SOC CS) qualitative indicator Global Climate Regulation (GCR) matrix method analysed. We found had significant comparison analysis all The differences with five resulted different strategies reclassified covers. addition, areas among contributed mapping. interrelations NPP statistical data harvest agricultural products also correlated significantly. Based results, SOC, CS GCR are available Nevertheless, we especially recommend as owning its high assessments. methodology our can be applied other researches targeted evaluating service.