TY - JOUR

T1 - Refining the tiered approach for mapping and assessing ecosystem services at the local scale

T2 - A case study in a rural landscape in Northern Germany

AU - Perennes, Marie

AU - Campagne, Carole Sylvie

AU - Müller, Felix

AU - Roche, Philip

AU - Burkhard, Benjamin

N1 - Funding information: This study was part of IMAGINE project (BiodivERsA) supported for Germany by the BMBF-Federal Ministry for Research and Education. Acknowledgments: We thank Angie Faust for the English language check. Funding: This study was part of IMAGINE project (BiodivERsA) supported for Germany by the BMBF–Federal Ministry for Research and Education.

PY - 2020/10

Y1 - 2020/10

N2 - Spatially explicit assessments of ecosystem services (ES) potentials are a key component in supporting a sustainable land use management. The ES matrix method is a commonly used approach as it allows for a comparably fast, comprehensible and accessible ES assessment. As it is often based on land use/land cover data (LULC) with no spatial variability, a main critique is that the results fail to assess spatial variability at landscape levels, which limits the reliability of the outputs for spatial planning applications. By using the case study area of Bornhöved in northern Germany, we analyzed three assessment methods that combine expert judgments, LULC data with different resolutions and ecosystem condition indicators, in order to find the required resolution and data for ES assessment and mapping at a local scale. To quantify map discrepancies, we used the structural similarity index (SSIM) and analyzed the differences in local mean, variance and covariance between the maps. We found that using different spatial resolutions led to a relatively small difference in the outcomes, in which regulation and maintenance services are more affected than the other services categories. For most regulation, maintenance and cultural ES, our results indicate that assessments based only on LULC proxies are not suitable for a local quantitative assessment of ES, as they cannot sufficiently cover the spatial heterogeneity of ES capacities that arise from different ecosystem conditions.

AB - Spatially explicit assessments of ecosystem services (ES) potentials are a key component in supporting a sustainable land use management. The ES matrix method is a commonly used approach as it allows for a comparably fast, comprehensible and accessible ES assessment. As it is often based on land use/land cover data (LULC) with no spatial variability, a main critique is that the results fail to assess spatial variability at landscape levels, which limits the reliability of the outputs for spatial planning applications. By using the case study area of Bornhöved in northern Germany, we analyzed three assessment methods that combine expert judgments, LULC data with different resolutions and ecosystem condition indicators, in order to find the required resolution and data for ES assessment and mapping at a local scale. To quantify map discrepancies, we used the structural similarity index (SSIM) and analyzed the differences in local mean, variance and covariance between the maps. We found that using different spatial resolutions led to a relatively small difference in the outcomes, in which regulation and maintenance services are more affected than the other services categories. For most regulation, maintenance and cultural ES, our results indicate that assessments based only on LULC proxies are not suitable for a local quantitative assessment of ES, as they cannot sufficiently cover the spatial heterogeneity of ES capacities that arise from different ecosystem conditions.

KW - Ecosystem condition indicators

KW - ES matrix assessment

KW - Statistical map comparison

UR - http://www.scopus.com/inward/record.url?scp=85092485689&partnerID=8YFLogxK

U2 - 10.3390/LAND9100348

DO - 10.3390/LAND9100348

M3 - Article

VL - 9

JO - Land

JF - Land

IS - 10

M1 - 348

ER -