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A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions

Despite significant advances in the development of the ecosystem services concept across the science and policy arenas, the valuation of ecosystem services to guide sustainable development remains challenging, especially at a local scale and in data scarce regions. In this paper, we review and compa...

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Main Authors: Pandeya, B., Buytaert, W., Zulkafli, Z., Karpouzoglou, T., Mao, F., Hannah, D. M.
Format: Article
Language:English
Published: 2016
Online Access:http://psasir.upm.edu.my/id/eprint/54819/1/A%20comparative%20analysis%20of%20ecosystem%20services%20valuation%20approaches%20for%20application%20at%20.pdf
http://psasir.upm.edu.my/id/eprint/54819/
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spelling my.upm.eprints.548192018-05-22T01:09:32Z http://psasir.upm.edu.my/id/eprint/54819/ A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions Pandeya, B. Buytaert, W. Zulkafli, Z. Karpouzoglou, T. Mao, F. Hannah, D. M. Despite significant advances in the development of the ecosystem services concept across the science and policy arenas, the valuation of ecosystem services to guide sustainable development remains challenging, especially at a local scale and in data scarce regions. In this paper, we review and compare major past and current valuation approaches and discuss their key strengths and weaknesses for guiding policy decisions. To deal with the complexity of methods used in different valuation approaches, our review uses multiple entry points: data vs simulation, habitat vs system vs place-based, specific vs entire portfolio, local vs regional scale, and monetary vs non-monetary. We find that although most valuation approaches are useful to explain ecosystem services at a macro/system level, an application of locally relevant valuation approaches, which allows for a more integrated valuation relevant to decision making is still hindered by data-scarcity. The advent of spatially explicit policy support systems shows particular promise to make the best use of available data and simulations. Data collection remains crucial for the local scale and in data scarce regions. Leveraging citizen science-based data and knowledge co-generation may support the integrated valuation, while at the same time making the valuation process more inclusive, replicable and policy-oriented. 2016-12 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54819/1/A%20comparative%20analysis%20of%20ecosystem%20services%20valuation%20approaches%20for%20application%20at%20.pdf Pandeya, B. and Buytaert, W. and Zulkafli, Z. and Karpouzoglou, T. and Mao, F. and Hannah, D. M. (2016) A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions. Ecosystem Services, 22. pp. 250-259. ISSN 2212-0416 10.1016/j.ecoser.2016.10.015
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Despite significant advances in the development of the ecosystem services concept across the science and policy arenas, the valuation of ecosystem services to guide sustainable development remains challenging, especially at a local scale and in data scarce regions. In this paper, we review and compare major past and current valuation approaches and discuss their key strengths and weaknesses for guiding policy decisions. To deal with the complexity of methods used in different valuation approaches, our review uses multiple entry points: data vs simulation, habitat vs system vs place-based, specific vs entire portfolio, local vs regional scale, and monetary vs non-monetary. We find that although most valuation approaches are useful to explain ecosystem services at a macro/system level, an application of locally relevant valuation approaches, which allows for a more integrated valuation relevant to decision making is still hindered by data-scarcity. The advent of spatially explicit policy support systems shows particular promise to make the best use of available data and simulations. Data collection remains crucial for the local scale and in data scarce regions. Leveraging citizen science-based data and knowledge co-generation may support the integrated valuation, while at the same time making the valuation process more inclusive, replicable and policy-oriented.
format Article
author Pandeya, B.
Buytaert, W.
Zulkafli, Z.
Karpouzoglou, T.
Mao, F.
Hannah, D. M.
spellingShingle Pandeya, B.
Buytaert, W.
Zulkafli, Z.
Karpouzoglou, T.
Mao, F.
Hannah, D. M.
A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions
author_facet Pandeya, B.
Buytaert, W.
Zulkafli, Z.
Karpouzoglou, T.
Mao, F.
Hannah, D. M.
author_sort Pandeya, B.
title A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions
title_short A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions
title_full A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions
title_fullStr A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions
title_full_unstemmed A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions
title_sort comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/54819/1/A%20comparative%20analysis%20of%20ecosystem%20services%20valuation%20approaches%20for%20application%20at%20.pdf
http://psasir.upm.edu.my/id/eprint/54819/
_version_ 1643835715137568768
score 13.211869

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