Title
Relationships Between Ecosystem Services: Comparing Methods for Assessing Tradeoffs and Synergies
Date Issued
01 August 2018
Access level
open access
Resource Type
journal article
Author(s)
Centro para la Investigación Forestal Internacional
Publisher(s)
Elsevier B.V.
Abstract
Understanding the interactions between the multiple ecosystem services (ES) which can be delivered from a single landscape is essential. Most studies on ES relationships use spatial or temporal statistical analysis (for example: correlations between services). Methods from microeconomic theory have recently received attention for describing ES relationships. The nature and intensity of ES relationships can be assessed by fitting a production possibility frontier that indicates the maximum amount of one ES that can be produced by landscape, for different levels of another ES. This study estimates production frontiers empirically, and compares the ES relationships insights gained this way with those inferred from correlation approaches. InVEST software was used to model and map the provision of six ES in the Reventazón watershed in Costa Rica. Spatial and temporal ES correlation patterns were analyzed for four observed land uses/land covers (LULC). Production frontiers were constructed using a set of 32 simulated scenarios. Production frontier was the most sensitive method for detecting ES relationships. The nature and intensity of ES relationships revealed depended on the analytic methods used. In comparison with correlations, the production frontier approach provided additional information relating to tradeoff intensity and Pareto efficient LULC configurations.
Start page
96
End page
106
Volume
150
Language
English
OCDE Knowledge area
Ciencias del medio ambiente
Economía
Scopus EID
2-s2.0-85045544329
Source
Ecological Economics
ISSN of the container
09218009
Sponsor(s)
This work was supported by the International Climate Initiative (IKI) of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB), the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement number 308393 (OPERAs project), the French Ministry of the Environment, Energy and Marine Affairs , and the CGIAR Research Program on Forests, Trees and Agroforestry (CRP-FTA) with financial support from the CGIAR Fund. The authors thank Christian Brenes Pérez, Pablo Imbach and Natalia Estrada Carmona for providing data on the case study, Alexandre Vallet and Thierry Brunelle for useful comments.
This work was supported by the International Climate Initiative (IKI) of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB), the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement number 308393 (OPERAs project), the French Ministry of the Environment, Energy and Marine Affairs, and the CGIAR Research Program on Forests, Trees and Agroforestry (CRP-FTA) with financial support from the CGIAR Fund. The authors thank Christian Brenes Pérez, Pablo Imbach and Natalia Estrada Carmona for providing data on the case study, Alexandre Vallet and Thierry Brunelle for useful comments.
Sources of information:
Directorio de Producción Científica
Scopus