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A hyperspectral image can predict tropical tree growth rates in single-species stands.
Caughlin, T Trevor; Graves, Sarah J; Asner, Gregory P; van Breugel, Michiel; Hall, Jefferson S; Martin, Roberta E; Ashton, Mark S; Bohlman, Stephanie A.
Affiliation
  • Caughlin TT; School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32601, USA.
  • Graves SJ; School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32601, USA.
  • Asner GP; Department of Global Ecology, Carnegie Institution for Science, Stanford, California 94305, USA.
  • van Breugel M; Yale-NUS College, Singapore, Singapore.
  • Hall JS; Smithsonian Tropical Research Institute, Apartado, Panama, 0843-03092 Panama.
  • Martin RE; Smithsonian Tropical Research Institute, Apartado, Panama, 0843-03092 Panama.
  • Ashton MS; Department of Global Ecology, Carnegie Institution for Science, Stanford, California 94305, USA.
  • Bohlman SA; Yale School of Forestry & Environmental Studies, New Haven, Connecticut 06511, USA.
Ecol Appl ; 26(8): 2367-2373, 2016 Dec.
Article in En | MEDLINE | ID: mdl-27907255
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Trees / Tropical Climate / Forests Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Ecol Appl Year: 2016 Document type: Article Affiliation country: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Trees / Tropical Climate / Forests Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Ecol Appl Year: 2016 Document type: Article Affiliation country: United States