The impact of land use/land cover scale on modelling urban ecosystem services

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dc.contributor.authorGrafius, Darren R.
dc.contributor.authorCorstanje, Ronald
dc.contributor.authorWarren, Philip H.
dc.contributor.authorEvans, Karl L.
dc.contributor.authorHancock, Steven
dc.contributor.authorHarris, Jim A.
dc.date.accessioned2017-01-23T11:31:50Z
dc.date.available2017-01-23T11:31:50Z
dc.date.issued2016-01-19
dc.description.abstractContext Urbanisation places increasing stress on ecosystem services; however existing methods and data for testing relationships between service delivery and urban landscapes remain imprecise and uncertain. Unknown impacts of scale are among several factors that complicate research. This study models ecosystem services in the urban area comprising the towns of Milton Keynes, Bedford and Luton which together represent a wide range of the urban forms present in the UK. Objectives The objectives of this study were to test (1) the sensitivity of ecosystem service model outputs to the spatial resolution of input data, and (2) whether any resultant scale dependency is constant across different ecosystem services and model approaches (e.g. stock- versus flow-based). Methods Carbon storage, sediment erosion, and pollination were modelled with the InVEST framework using input data representative of common coarse (25 m) and fine (5 m) spatial resolutions. Results Fine scale analysis generated higher estimates of total carbon storage (9.32 vs. 7.17 kg m−2) and much lower potential sediment erosion estimates (6.4 vs. 18.1 Mg km−2 year−1) than analyses conducted at coarser resolutions; however coarse-scale analysis estimated more abundant pollination service provision. Conclusions Scale sensitivities depend on the type of service being modelled; stock estimates (e.g. carbon storage) are most sensitive to aggregation across scales, dynamic flow models (e.g. sediment erosion) are most sensitive to spatial resolution, and ecological process models involving both stocks and dynamics (e.g. pollination) are sensitive to both. Care must be taken to select model data appropriate to the scale of inquiry.en_UK
dc.identifier.citationDarren R. Grafius, Ron Corstanje, Philip H. Warren, Karl L. Evans, Steven Hancock and Jim A. Harris. The impact of land use/land cover scale on modelling urban ecosystem services. Landscape Ecology, September 2016, Volume 31, Issue 7, pp1509–1522en_UK
dc.identifier.issn0921-2973
dc.identifier.urihttp://dx.doi.org/10.1007/s10980-015-0337-7
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/11339
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsOpen Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.subjectEcosystem servicesen_UK
dc.subjectUrbanen_UK
dc.subjectModelen_UK
dc.subjectNatural capitalen_UK
dc.subjectScaleen_UK
dc.subjectInVESTen_UK
dc.subjectPollinationen_UK
dc.subjectErosionen_UK
dc.subjectCarbonen_UK
dc.subjectEnglanden_UK
dc.titleThe impact of land use/land cover scale on modelling urban ecosystem servicesen_UK
dc.typeArticleen_UK

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