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The impact of proxy-based methods on mapping the distribution of ecosystem services

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The impact of proxy-based methods on mapping the distribution of ecosystem services. / Eigenbrod, Felix; Armsworth, Paul R.; Anderson, Barbara J.; Heinemeyer, Andreas; Gillings, Simon; Roy, David B.; Thomas, Chris D.; Gaston, Kevin J.

In: Journal of Applied Ecology, Vol. 47, No. 2, 04.2010, p. 377-385.

Research output: Contribution to journalArticle

Harvard

Eigenbrod, F, Armsworth, PR, Anderson, BJ, Heinemeyer, A, Gillings, S, Roy, DB, Thomas, CD & Gaston, KJ 2010, 'The impact of proxy-based methods on mapping the distribution of ecosystem services', Journal of Applied Ecology, vol. 47, no. 2, pp. 377-385. https://doi.org/10.1111/j.1365-2664.2010.01777.x

APA

Eigenbrod, F., Armsworth, P. R., Anderson, B. J., Heinemeyer, A., Gillings, S., Roy, D. B., Thomas, C. D., & Gaston, K. J. (2010). The impact of proxy-based methods on mapping the distribution of ecosystem services. Journal of Applied Ecology, 47(2), 377-385. https://doi.org/10.1111/j.1365-2664.2010.01777.x

Vancouver

Eigenbrod F, Armsworth PR, Anderson BJ, Heinemeyer A, Gillings S, Roy DB et al. The impact of proxy-based methods on mapping the distribution of ecosystem services. Journal of Applied Ecology. 2010 Apr;47(2):377-385. https://doi.org/10.1111/j.1365-2664.2010.01777.x

Author

Eigenbrod, Felix ; Armsworth, Paul R. ; Anderson, Barbara J. ; Heinemeyer, Andreas ; Gillings, Simon ; Roy, David B. ; Thomas, Chris D. ; Gaston, Kevin J. / The impact of proxy-based methods on mapping the distribution of ecosystem services. In: Journal of Applied Ecology. 2010 ; Vol. 47, No. 2. pp. 377-385.

Bibtex - Download

@article{2bd121c7cf4748b488fa5f26b8aaa0f2,
title = "The impact of proxy-based methods on mapping the distribution of ecosystem services",
abstract = "P>1. An increasing number of studies are examining the distribution and congruence of ecosystem services, often with the goal of identifying areas that will provide multiple ecosystem service 'hotspots'. However, there is a paucity of data on most ecosystem services, so proxies (e.g. estimates of a service for a particular land cover type) are frequently used to map their distribution. To date, there has been little attempt to quantify the effects of using proxies on distribution maps of ecosystem services, despite the potentially large errors associated with such data sets.2. Here, we provide the first study examining the effects of using proxies on ecosystem service maps and the degree of spatial congruence of these maps with primary data, using England as a case study.3. We show that land cover based proxies provide a poor fit to primary data surfaces for biodiversity, recreation and carbon storage, and that correlations between ecosystem services change depending on whether primary or proxy data are used for the analyses.4. The poor fit of proxies to primary data was also evident when we selected hotspots of single ecosystem services, and consistency between raw and modelled surfaces was extremely low when considering the locations that were coincident hotspots for multiple services.5. Synthesis and applications. Proxies may be suitable for identifying broad-scale trends in ecosystem services, but even relatively good proxies are likely to be unsuitable for identifying hotspots or priority areas for multiple services.",
keywords = "biodiversity, carbon, conservation planning, ecosystem services, England, GIS, hotspots, natural capital assets, recreation, spatial value transfer, CONSERVATION PRIORITIES, BIODIVERSITY, VALUATION, LANDSCAPE, BENEFITS, CARBON, FORESTS, SCALES, VALUES, AREA",
author = "Felix Eigenbrod and Armsworth, {Paul R.} and Anderson, {Barbara J.} and Andreas Heinemeyer and Simon Gillings and Roy, {David B.} and Thomas, {Chris D.} and Gaston, {Kevin J.}",
year = "2010",
month = apr,
doi = "10.1111/j.1365-2664.2010.01777.x",
language = "English",
volume = "47",
pages = "377--385",
journal = "Journal of Applied Ecology",
issn = "0021-8901",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - The impact of proxy-based methods on mapping the distribution of ecosystem services

AU - Eigenbrod, Felix

AU - Armsworth, Paul R.

AU - Anderson, Barbara J.

AU - Heinemeyer, Andreas

AU - Gillings, Simon

AU - Roy, David B.

AU - Thomas, Chris D.

AU - Gaston, Kevin J.

PY - 2010/4

Y1 - 2010/4

N2 - P>1. An increasing number of studies are examining the distribution and congruence of ecosystem services, often with the goal of identifying areas that will provide multiple ecosystem service 'hotspots'. However, there is a paucity of data on most ecosystem services, so proxies (e.g. estimates of a service for a particular land cover type) are frequently used to map their distribution. To date, there has been little attempt to quantify the effects of using proxies on distribution maps of ecosystem services, despite the potentially large errors associated with such data sets.2. Here, we provide the first study examining the effects of using proxies on ecosystem service maps and the degree of spatial congruence of these maps with primary data, using England as a case study.3. We show that land cover based proxies provide a poor fit to primary data surfaces for biodiversity, recreation and carbon storage, and that correlations between ecosystem services change depending on whether primary or proxy data are used for the analyses.4. The poor fit of proxies to primary data was also evident when we selected hotspots of single ecosystem services, and consistency between raw and modelled surfaces was extremely low when considering the locations that were coincident hotspots for multiple services.5. Synthesis and applications. Proxies may be suitable for identifying broad-scale trends in ecosystem services, but even relatively good proxies are likely to be unsuitable for identifying hotspots or priority areas for multiple services.

AB - P>1. An increasing number of studies are examining the distribution and congruence of ecosystem services, often with the goal of identifying areas that will provide multiple ecosystem service 'hotspots'. However, there is a paucity of data on most ecosystem services, so proxies (e.g. estimates of a service for a particular land cover type) are frequently used to map their distribution. To date, there has been little attempt to quantify the effects of using proxies on distribution maps of ecosystem services, despite the potentially large errors associated with such data sets.2. Here, we provide the first study examining the effects of using proxies on ecosystem service maps and the degree of spatial congruence of these maps with primary data, using England as a case study.3. We show that land cover based proxies provide a poor fit to primary data surfaces for biodiversity, recreation and carbon storage, and that correlations between ecosystem services change depending on whether primary or proxy data are used for the analyses.4. The poor fit of proxies to primary data was also evident when we selected hotspots of single ecosystem services, and consistency between raw and modelled surfaces was extremely low when considering the locations that were coincident hotspots for multiple services.5. Synthesis and applications. Proxies may be suitable for identifying broad-scale trends in ecosystem services, but even relatively good proxies are likely to be unsuitable for identifying hotspots or priority areas for multiple services.

KW - biodiversity

KW - carbon

KW - conservation planning

KW - ecosystem services

KW - England

KW - GIS

KW - hotspots

KW - natural capital assets

KW - recreation

KW - spatial value transfer

KW - CONSERVATION PRIORITIES

KW - BIODIVERSITY

KW - VALUATION

KW - LANDSCAPE

KW - BENEFITS

KW - CARBON

KW - FORESTS

KW - SCALES

KW - VALUES

KW - AREA

UR - http://www.scopus.com/inward/record.url?scp=77951169117&partnerID=8YFLogxK

U2 - 10.1111/j.1365-2664.2010.01777.x

DO - 10.1111/j.1365-2664.2010.01777.x

M3 - Article

VL - 47

SP - 377

EP - 385

JO - Journal of Applied Ecology

JF - Journal of Applied Ecology

SN - 0021-8901

IS - 2

ER -