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Mapping Ecosystem Services to Human Well-being: a toolkit to support integrated landscape management for the SDGs.
Johnson, Justin A; Jones, Sarah K; Wood, Sylvia L R; Chaplin-Kramer, Rebecca; Hawthorne, Peter L; Mulligan, Mark; Pennington, Derric; DeClerck, Fabrice A.
Afiliação
  • Johnson JA; Institute on the Environment, University of Minnesota, St. Paul, Minnesota, 55108, USA.
  • Jones SK; Bioversity International, CGIAR, Parc scientifique Agropolis II, 1990 Boulevard de la Lironde, Montpellier, 34397, France.
  • Wood SLR; Department of Geography, King's College London, Strand, London, WC2B 4BG, UK.
  • Chaplin-Kramer R; Bioversity International, CGIAR, Parc scientifique Agropolis II, 1990 Boulevard de la Lironde, Montpellier, 34397, France.
  • Hawthorne PL; Département des Sciences Naturelles, Université de Québec en Outaouais, Ripon, Quebec, J0V 1V0, Canada.
  • Mulligan M; Natural Capital Project, Stanford University, Stanford, California, 94305, USA.
  • Pennington D; Institute on the Environment, University of Minnesota, St. Paul, Minnesota, 55108, USA.
  • DeClerck FA; Department of Geography, King's College London, Strand, London, WC2B 4BG, UK.
Ecol Appl ; 29(8): e01985, 2019 12.
Article em En | MEDLINE | ID: mdl-31348562
ABSTRACT
The Sustainable Development Goals (SDGs) emphasize the global and multi-dimensional nature of sustainability and thus require improving our capacity to articulate and trace the impact of ecosystem change to measures of human well-being. Yet, the integrated nature of these goals is challenging to assess without similarly integrated assessment tools. We present a new modeling toolkit, "Mapping Ecosystem Services to Human well-being" (MESH), that integrates commonly used, stand-alone ecosystem services (ES) models from the InVEST suite of models to quantify and illustrate the trade-offs and synergies across five ecosystem services and up to 10 associated SDGs. Development of the software and its functionality were informed by a broad stakeholder consultation with ministries, non-governmental organizations and civil society groups in West Africa to identify common barriers to uptake and application of modeling tools in developing countries. In light of this process, key features included in MESH are (1) integration of multiple ecosystem service (ES) models into a common modeling framework supported by a curated base data set, (2) built-in scenario generation capacity to support policy analysis, (3) visualization of outcomes and trade-offs, and (4) mapping of ecosystem service change to SDG targets and goals. We illustrate the use of MESH in a case study in the Volta basin of West Africa comparing the effectiveness of three alternative conservation prioritization approaches (1) land cover-based, (2) topographic-based, and (3) an ecosystem service-based approach to minimize the impact of agricultural expansion. We evaluate these approaches by linking changes in service supply to potential impacts on achievement of specific SDG goals and targets.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 11_ODS3_cobertura_universal / 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Ecossistema / Conservação dos Recursos Naturais Limite: Humans Idioma: En Revista: Ecol Appl Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 11_ODS3_cobertura_universal / 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Ecossistema / Conservação dos Recursos Naturais Limite: Humans Idioma: En Revista: Ecol Appl Ano de publicação: 2019 Tipo de documento: Article