Are expert-based ecosystem services scores related to biophysical quantitative estimates?

Research output: Contribution to journalArticleResearchpeer review

Authors

  • P.K. Roche
  • C.S. Campagne

External Research Organisations

  • Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
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Details

Original languageEnglish
Article number105421
JournalEcological indicators
Volume106
Early online date26 Jun 2019
Publication statusPublished - Nov 2019
Externally publishedYes

Abstract

Among the different approaches developed to assess ecosystem services (ES), the capacity matrix is flexible and quick to implement. The matrix is a look-up table that assigns each ecosystem type a score expressing its ES capacity. Using expert elicitation enables resource efficient and integrative ES scoring that can meet general demand for ES mapping and assessment at different scales. There is an implicit consideration that data from proxies or models would provide better estimates of ES biophysical value as expert-based scores are subjective and depend on expert preferences and therefore unreliable. To test this assumption, we compared using linear and geographically weighted regression (GWR) to compare ES scores provided by an expert panel for seven ES with eight spatial quantitative biophysical indicators at landscape scale for the French Hauts-de-France Region. We obtained statistically significant linear regression r 2 between 0.03 and 0.76 and GWR r 2 between 0.56 and 0.81. The hot cold maps produced using expert scores and quantitative indicators were highly correlated. We conclude that using expert knowledge through the matrix approach yields results very close to those from quantitative proxies or biophysical models for the evaluation of ES at the regional level, particularly when there is a need to evaluate many ES or in a data scarce region.

Keywords

    Assessment, Biophysical indicators, Capacity matrix, Ecosystem service mapping, Look-up table, Regional level

ASJC Scopus subject areas

Cite this

Are expert-based ecosystem services scores related to biophysical quantitative estimates? / Roche, P.K.; Campagne, C.S.
In: Ecological indicators, Vol. 106, 105421, 11.2019.

Research output: Contribution to journalArticleResearchpeer review

Roche PK, Campagne CS. Are expert-based ecosystem services scores related to biophysical quantitative estimates? Ecological indicators. 2019 Nov;106:105421. Epub 2019 Jun 26. doi: 10.1016/j.ecolind.2019.05.052
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abstract = "Among the different approaches developed to assess ecosystem services (ES), the capacity matrix is flexible and quick to implement. The matrix is a look-up table that assigns each ecosystem type a score expressing its ES capacity. Using expert elicitation enables resource efficient and integrative ES scoring that can meet general demand for ES mapping and assessment at different scales. There is an implicit consideration that data from proxies or models would provide better estimates of ES biophysical value as expert-based scores are subjective and depend on expert preferences and therefore unreliable. To test this assumption, we compared using linear and geographically weighted regression (GWR) to compare ES scores provided by an expert panel for seven ES with eight spatial quantitative biophysical indicators at landscape scale for the French Hauts-de-France Region. We obtained statistically significant linear regression r 2 between 0.03 and 0.76 and GWR r 2 between 0.56 and 0.81. The hot cold maps produced using expert scores and quantitative indicators were highly correlated. We conclude that using expert knowledge through the matrix approach yields results very close to those from quantitative proxies or biophysical models for the evaluation of ES at the regional level, particularly when there is a need to evaluate many ES or in a data scarce region. ",
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