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Towards connecting biodiversity and geodiversity across scales with satellite remote sensing.
Zarnetske, Phoebe L; Read, Quentin D; Record, Sydne; Gaddis, Keith D; Pau, Stephanie; Hobi, Martina L; Malone, Sparkle L; Costanza, Jennifer; M Dahlin, Kyla; Latimer, Andrew M; Wilson, Adam M; Grady, John M; Ollinger, Scott V; Finley, Andrew O.
Afiliación
  • Zarnetske PL; Department of Forestry Michigan State University East Lansing Michigan.
  • Read QD; Ecology, Evolutionary Biology, and Behavior Program Michigan State University East Lansing Michigan.
  • Record S; Department of Forestry Michigan State University East Lansing Michigan.
  • Gaddis KD; Ecology, Evolutionary Biology, and Behavior Program Michigan State University East Lansing Michigan.
  • Pau S; Department of Biology Bryn Mawr College Bryn Mawr Pennsylvania.
  • Hobi ML; National Aeronautics and Space Administration Washington District of Columbia.
  • Malone SL; Department of Geography Florida State University Tallahassee Florida.
  • Costanza J; Swiss Federal Research Institute WSL Birmensdorf Switzerland.
  • M Dahlin K; SILVIS Lab, Department of Forest and Wildlife Ecology University of Wisconsin-Madison Madison Wisconsin.
  • Latimer AM; Department of Biological Sciences Florida International University Miami Florida.
  • Wilson AM; Department of Forestry and Environmental Resources NC State University Research Triangle Park North Carolina.
  • Grady JM; Ecology, Evolutionary Biology, and Behavior Program Michigan State University East Lansing Michigan.
  • Ollinger SV; Department of Geography, Environment, & Spatial Sciences Michigan State University East Lansing Michigan.
  • Finley AO; Department of Plant Sciences UC Davis Davis California.
Glob Ecol Biogeogr ; 28(5): 548-556, 2019 May.
Article en En | MEDLINE | ID: mdl-31217748

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Glob Ecol Biogeogr Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Glob Ecol Biogeogr Año: 2019 Tipo del documento: Article