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Models meet data: Challenges and opportunities in implementing land management in Earth system models.
Pongratz, Julia; Dolman, Han; Don, Axel; Erb, Karl-Heinz; Fuchs, Richard; Herold, Martin; Jones, Chris; Kuemmerle, Tobias; Luyssaert, Sebastiaan; Meyfroidt, Patrick; Naudts, Kim.
Afiliação
  • Pongratz J; Max Planck Institute for Meteorology, Hamburg, Germany.
  • Dolman H; Department of Earth Sciences, VU University Amsterdam, Amsterdam, The Netherlands.
  • Don A; Thünen-Institute of Climate-Smart Agriculture, Braunschweig, Germany.
  • Erb KH; Institute of Social Ecology Vienna (SEC), Alpen-Adria Universitaet Klagenfurt Wien, Graz, Vienna, Austria.
  • Fuchs R; Geography Group, Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Herold M; Laboratory of Geoinformation Science and Remote Sensing, Wageningen University and Research, Wageningen, The Netherlands.
  • Jones C; Met Office Hadley Centre, Exeter, UK.
  • Kuemmerle T; Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Luyssaert S; Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Berlin, Germany.
  • Meyfroidt P; Department of Earth Sciences, VU University Amsterdam, Amsterdam, The Netherlands.
  • Naudts K; Georges Lemaître Center for Earth and Climate Research, Earth and Life Institute, Université Catholique de Louvain & F.R.S.-FNRS, Louvain-la-Neuve, Belgium.
Glob Chang Biol ; 24(4): 1470-1487, 2018 04.
Article em En | MEDLINE | ID: mdl-29235213
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudança Climática / Ecossistema / Planeta Terra / Conservação dos Recursos Naturais / Modelos Teóricos Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudança Climática / Ecossistema / Planeta Terra / Conservação dos Recursos Naturais / Modelos Teóricos Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2018 Tipo de documento: Article