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A Model for Spatially Explicit Landscape Configuration and Ecosystem Service Performance, ESMAX: Model Description and Explanation
doi: 10.3390/su16020876
handle: 10182/16860
It is critical that we move our understanding of the ecosystem services (ESs) produced by landscapes from the present abundance of analysis to a fundamental basis of design. This involves enhancing the ability to understand and model the interconnected, coevolving system of humans and the rest of nature, thus contributing to the design of sustainable landscapes. In this paper, we hypothesise that the spatial configuration of landscape components (the size and arrangement of tree clumps, paddocks, crops, water features, etc.) impacts the production of regulating ESs, which in turn have a leveraging effect on provisioning and cultural ESs. Drawing on the precepts of Ecological Field Theory, we present the development and implications of a conceptual Geographic Information System (GIS)-based model, ESMAX, that utilises the idiosyncratic distance-decay characteristics of regulating ESs. These ‘ES fields’ are visualised as radiating into the landscape from their source components, addressing a gap in biophysical reality that has been identified as a shortcoming of existing ES modelling based on landcover proxies. Hypothetical landscape arrangements of simplified landscape components are tested with ESMAX across three regulating ESs: cooling effect, nitrogen retention, and habitat provision. The model calculates the overall ES performance of each landscape arrangement by tabulating the ES fields produced and, critically, the nonlinear response where fields overlap. The results indicate a primary sensitivity to the size of components and a secondary sensitivity to the arrangement of components. Consequently, ESMAX can be used to design landscape configurations that (1) maximise the production of specific regulating ESs and (2) improve the utilisation of natural ES-producing resources.
- Lincoln University New Zealand
- Landcare Research New Zealand
330, ANZSRC::410406 Natural resource management, TJ807-830, TD194-195, Renewable energy sources, ANZSRC::410206 Landscape ecology, biophysical gap, GE1-350, ANZSRC::330109 Landscape architecture, landscape multifunctionality, landscape ecology, Environmental effects of industries and plants, ANZSRC::410203 Ecosystem function, GIS, Environmental sciences, spatial configuration, ANZSRC::330110 Sustainable architecture, ecosystem services
330, ANZSRC::410406 Natural resource management, TJ807-830, TD194-195, Renewable energy sources, ANZSRC::410206 Landscape ecology, biophysical gap, GE1-350, ANZSRC::330109 Landscape architecture, landscape multifunctionality, landscape ecology, Environmental effects of industries and plants, ANZSRC::410203 Ecosystem function, GIS, Environmental sciences, spatial configuration, ANZSRC::330110 Sustainable architecture, ecosystem services
