TY - JOUR

T1 - Mapping and comparing ecosystem service indicators of global climate regulation in Schleswig-Holstein, Northern Germany

AU - Ma, Liwei

AU - Bicking, Sabine

AU - Müller, Felix

N1 - Funding Information: We extend our thanks to the European Environmental Agency (EEA) for the data sharing service system, to the Numerical Terradynamic Simulation Group of the University of Montana for the database of satellite image products, and to the Amtliches Topographisch–Kartographisches Informations-System (Official Topographic-Cartographic Information System; ATKIS). This work was supported by the China Scholarship Council. The authors also acknowledge the financial support from the China Scholarship Council in conducting this research. We are grateful for the time and efforts from the editors and the anonymous reviewers on improving our manuscript.

PY - 2018/8/23

Y1 - 2018/8/23

N2 - Estimating and mapping Ecosystem Services (ESS) is a primary basis for reasonable ecosystem managing policies. Assessing ESS and optimising the accuracy of ESS assessment is relevant to identify suitable indicators. This study aims to gain a better understanding of global climate regulation service assessments resulting from the application of several indicators that have been derived based on Co-Ordination of INformation on the Environment (CORINE) land cover classes. Therefore, 17 CORINE land cover classes were used to evaluate their effects on the distributions of the annual total Gross Primary Production (GPP), the annual total Net Primary Production (NPP), Soil Organic Carbon (SOC) and Carbon Stocks (CS) in the German federal state Schleswig-Holstein. In addition to the spatial distributions, correlations of distinct quantitative indicators (annual total GPP, annual total NPP, SOC and CS) and a qualitative indicator of Global Climate Regulation (GCR) derived from the ecosystem service matrix method were analysed. We found that qualitative and quantitative indicators of the global climate regulation service had significant correlations based on the comparison analysis of all indicators. The differences in mapping the service with the five indicators resulted from different strategies of the reclassified land covers. In addition, the distinct areas among the land cover classes contributed to the differences in global climate regulation mapping. The interrelations among the annual total GPP, the annual total NPP and statistical data on total harvest of different agricultural products also correlated significantly. Based on the results, GPP, NPP, SOC, CS and GCR are available indicators of global climate regulation service in Schleswig-Holstein. Nevertheless, we especially recommend CS as the indicator owning to its high accuracy in assessments. The indicators and methodology in our study can also be applied to other researches targeted with evaluating global climate regulation service.

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

KW - Carbon Stocks (CS)

KW - Gross Primary Production (GPP)

KW - Net Primary Production (NPP)

KW - Soil Organic Carbon (SOC)

UR - http://www.scopus.com/inward/record.url?scp=85052456373&partnerID=8YFLogxK

U2 - 10.1016/j.scitotenv.2018.08.274

DO - 10.1016/j.scitotenv.2018.08.274

M3 - Article

C2 - 30340303

AN - SCOPUS:85052456373

VL - 648

SP - 1582

EP - 1597

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -