nerc.ac.uk

High spatial-temporal resolution data across large scales are needed to transform our understanding of ecosystem services

Willcock, Simon; Martinez-Lopez, Javier; Dandy, Norman; Bullock, James M. ORCID: https://orcid.org/0000-0003-0529-4020. 2021 High spatial-temporal resolution data across large scales are needed to transform our understanding of ecosystem services [in special issue: Exploring the relationships between land use and ecosystem services] Land, 10 (7), 759. 6, pp. 10.3390/land10070759

Before downloading, please read NORA policies.
[thumbnail of N530829JA.pdf]
Preview
Text
N530829JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview

Abstract/Summary

Editorial for special issue. Many assessments of ecosystem services are based on maps of land cover. For example, Costanza et al. estimated the value of global ESs using economic valuations based on land cover and land use data. This method consists of matching an ecosystem type with the potential ESs that they provide. However, within the different types of land cover or land use considered, various environmental factors occurring at finer temporal or spatial scales (e.g., climatic variation) are not well captured. Thus, ES assessments are largely scale dependent, often missing important variables at both large and small scales. More in-depth studies should be encouraged to elucidate the roles of variables other than land cover.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.3390/land10070759
UKCEH and CEH Sections/Science Areas: Biodiversity (Science Area 2017-)
ISSN: 2073-445X
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
Additional Keywords: beneficiary ecosystem service, land cover, land use, social-ecological system, spatiotemporal
NORA Subject Terms: Ecology and Environment
Date made live: 29 Jul 2021 15:11 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/530829

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...