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Lessons learned for spatial modelling of ecosystem services in support of ecosystem accounting
Schroter M.a, Remme R.P.a, Sumarga E.a,b, Barton D.N.c, Hein L.a
a Environmental Systems Analysis Group, Wageningen University, Wageningen, 6700 AA, Netherlands
b School of Life Sciences and Technology, Institut Teknologi Bandung (ITB), Bandung, 40132, Indonesia
c Norwegian Institute for Nature Research (NINA), Oslo, Norway
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2014 Elsevier B.V.Assessment of ecosystem services through spatial modelling plays a key role in ecosystem accounting. Spatial models for ecosystem services try to capture spatial heterogeneity with high accuracy. This endeavour, however, faces several practical constraints. In this article we analyse the trade-offs between accurately representing spatial heterogeneity of ecosystem services and the practical constraints of modelling ecosystem services. By doing so we aim to explore the boundary conditions for best practice of spatial ecosystem accounting. We distinguished seven types of spatial ES modelling methods, including four types of look-up tables, causal relationships, spatial interpolation, and environmental regression. We classified 29 spatial ES models according to a judgement of accuracy and modelling feasibility. Best practice of spatial ES models varies depending on the reliability requirements of different policy applications and decision contexts. We propose that in best practice for ecosystem accounting an approach should be adopted that provides sufficient accuracy at acceptable costs given heterogeneity of the respective service. Furthermore, we suggest that different policy applications require different accuracy and different spatial modelling approaches. Societal investment in higher data availability of ecosystem services make models of a specific accuracy more feasible or would enable achievement of higher accuracy with comparable feasibility.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Capacity,Ecosystem services indicator,Ecosystem services mapping,Ecosystem services modelling,Flow,Spatial scales[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]This research has been made possible through ERC Grant 263027 (Ecospace), and funding from the European Union׳s Seventh Programme for research, technological development and demonstration under Grant agreement no. 308428 for the OpenNESS project ( http://www.openness-project.eu/ ). We thank two reviewers for their constructive remarks which helped to improve this paper.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1016/j.ecoser.2014.07.003[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]