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Individual Based Modelling of Fish Migration in a 2-D River System: Model Description and Case Study.
Snyder, Marcía N; Schumaker, Nathan H; Ebersole, Joseph L; Dunham, Jason; Comeleo, Randy; Keefer, Matthew; Leinenbach, Peter; Brookes, Allen; Cope, Ben; Wu, Jennifer; Palmer, John; Keenan, Druscilla.
Afiliación
  • Snyder MN; US Environmental Protection Agency, Western Ecology Division, 200 35 St., Corvallis, OR 97333.
  • Schumaker NH; US Environmental Protection Agency, Western Ecology Division, 200 35 St., Corvallis, OR 97333.
  • Ebersole JL; US Environmental Protection Agency, Western Ecology Division, 200 35 St., Corvallis, OR 97333.
  • Dunham J; US Geological Survey, Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, OR 97331.
  • Comeleo R; US Environmental Protection Agency, Western Ecology Division, 200 35 St., Corvallis, OR 97333.
  • Keefer M; University of Idaho, Department of Fish and Wildlife Sciences, College of Natural Resources, 975 W. Sixth Street, Moscow, Idaho 83844.
  • Leinenbach P; US Environmental Protection Agency, Region 10, 1200 6 Ave., Suite 155, Seattle, WA 98101.
  • Brookes A; US Environmental Protection Agency, Western Ecology Division, 200 35 St., Corvallis, OR 97333.
  • Cope B; US Environmental Protection Agency, Region 10, 1200 6 Ave., Suite 155, Seattle, WA 98101.
  • Wu J; US Environmental Protection Agency, Region 10, 1200 6 Ave., Suite 155, Seattle, WA 98101.
  • Palmer J; US Environmental Protection Agency, Region 10, 1200 6 Ave., Suite 155, Seattle, WA 98101.
  • Keenan D; US Environmental Protection Agency, Region 10, 1200 6 Ave., Suite 155, Seattle, WA 98101.
Landsc Ecol ; 34(4): 737-754, 2019 Apr 01.
Article en En | MEDLINE | ID: mdl-33424124
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Landsc Ecol Año: 2019 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

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