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National indicators for observing ecosystem service change

Authors :
Katharina Waha
Stephen Polasky
Daniel S. Karp
Ben Halpern
Wolfgang Cramer
Kirsten Thonicke
Heather Tallis
Stacie Wolny
René Sachse
Ariane Walz
Britta Tietjen
Harold A. Mooney
Potsdam Institute for Climate Impact Research (PIK)
Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE)
Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS)
CSIRO Agriculture Flagship
Department of Environmental Science, Policy, and Management [Berkeley] (ESPM)
University of California [Berkeley] (UC Berkeley)
University of California (UC)-University of California (UC)
The Nature Conservancy
Institute of Earth and Environmental Science [Potsdam]
University of Potsdam = Universität Potsdam
Bren School of Environmental Science and Management
University of California [Santa Barbara] (UC Santa Barbara)
National Center for Ecological Analysis and Synthesis (NCEAS)
Imperial College London
Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB)
Stanford University
University of Minnesota System
Free University of Berlin (FU)
Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU)
Source :
Global Environmental Change, Global Environmental Change, Elsevier, 2015, 35, pp.12--21. ⟨10.1016/j.gloenvcha.2015.07.014⟩, Global Environmental Change, 2015, 35, pp.12-21. ⟨10.1016/j.gloenvcha.2015.07.014⟩
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

International audience; Earth's life-support systems are in rapid decline, yet we have few metrics or indicators with which to track these changes. The world's governments are calling for biodiversity and ecosystem-service monitoring to guide and evaluate international conservation policy as well as to incorporate natural capital into their national accounts. The Group on Earth Observations Biodiversity Observation Network (GEO BON) has been tasked with setting up this monitoring system. Here we explore the immediate feasibility of creating a global ecosystem-service monitoring platform under the GEO BON framework through combining data from national statistics, global vegetation models, and production function models. We found that nine ecosystem services could be annually reported at a national scale in the short term: carbon sequestration, water supply for hydropower, and non-fisheries marine products, crop, livestock, game meat, fisheries, mariculture, and timber production. Reported changes in service delivery over time reflected ecological shocks (e.g., droughts and disease outbreaks), highlighting the immediate utility of this monitoring system. Our work also identified three opportunities for creating a more comprehensive monitoring system. First, investing in input data for ecological process models (e.g., global land-use maps) would allow many more regulating services to be monitored. Currently, only 1 of 9 services that can be reported is a regulating service. Second, household surveys and censuses could help evaluate how nature affects people and provides non-monetary benefits. Finally, to forecast the sustainability of service delivery, research efforts could focus on calculating the total remaining biophysical stocks of provisioning services. Regardless, we demonstrated that a preliminary ecosystem-service monitoring platform is immediately feasible. With sufficient international investment, the platform could evolve further into a much-needed system to track changes in our planet's life-support systems. (C) 2015 Elsevier Ltd. All rights reserved.

Details

Language :
English
ISSN :
09593780
Database :
OpenAIRE
Journal :
Global Environmental Change, Global Environmental Change, Elsevier, 2015, 35, pp.12--21. ⟨10.1016/j.gloenvcha.2015.07.014⟩, Global Environmental Change, 2015, 35, pp.12-21. ⟨10.1016/j.gloenvcha.2015.07.014⟩
Accession number :
edsair.doi.dedup.....123fccc54c259d9930524d5b6bc8736e