A model for spatially explicit landscape configuration and ecosystem service performance, ESMAX: Model description and explanation

dc.contributor.authorMorris, R
dc.contributor.authorDavis, Shannon
dc.contributor.authorGrelet, G-A
dc.contributor.authorDoscher, Crile
dc.contributor.authorGregorini, Pablo
dc.date.accessioned2024-02-07T23:23:06Z
dc.date.available2024-01-19
dc.date.issued2024-01
dc.date.submitted2024-01-10
dc.description.abstractIt 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.
dc.format.extent23 pages
dc.identifierhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:001151387900001&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.doi10.3390/su16020876
dc.identifier.eissn2071-1050
dc.identifier.otherGG0G0 (isidoc)
dc.identifier.urihttps://hdl.handle.net/10182/16860
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relationThe original publication is available from Multidisciplinary Digital Publishing Institute (MDPI) - https://doi.org/10.3390/su16020876 - http://dx.doi.org/10.3390/su16020876
dc.relation.isPartOfSustainability
dc.relation.urihttps://doi.org/10.3390/su16020876
dc.rights© 2024 The authors. Licensee MDPI, Basel, Switzerland.
dc.rights.ccnameAttribution
dc.rights.ccurihttps://creativecommons.org/licenses/by/4.0/
dc.subjectbiophysical gap
dc.subjectecosystem services
dc.subjectGIS
dc.subjectlandscape ecology
dc.subjectlandscape multifunctionality
dc.subjectspatial configuration
dc.subject.anzsrc2020ANZSRC::410203 Ecosystem function
dc.subject.anzsrc2020ANZSRC::410206 Landscape ecology
dc.subject.anzsrc2020ANZSRC::330110 Sustainable architecture
dc.subject.anzsrc2020ANZSRC::410406 Natural resource management
dc.subject.anzsrc2020ANZSRC::330109 Landscape architecture
dc.titleA model for spatially explicit landscape configuration and ecosystem service performance, ESMAX: Model description and explanation
dc.typeJournal Article
lu.contributor.unitLU
lu.contributor.unitLU|Agriculture and Life Sciences
lu.contributor.unitLU|Agriculture and Life Sciences|AGSC
lu.contributor.unitLU|Faculty of Environment, Society and Design
lu.contributor.unitLU|Faculty of Environment, Society and Design|SOLA
lu.contributor.unitLU|Research Management Office
lu.contributor.unitLU|Research Management Office|OLD QE18
lu.contributor.unitLU|Centre of Excellence - Future Productive Landscapes
lu.identifier.orcid0000-0002-0505-5890
lu.identifier.orcid0000-0003-2926-327X
lu.identifier.orcid0000-0002-7084-5223
pubs.article-number876
pubs.issue2
pubs.notesJanuary-2 2024
pubs.publication-statusPublished
pubs.publisher-urlhttp://dx.doi.org/10.3390/su16020876
pubs.volume16
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