Your browser doesn't support javascript.
loading
A multi-predator trophic database for the California Current Large Marine Ecosystem.
Bizzarro, Joseph J; Dewitt, Lynn; Wells, Brian K; Curtis, K Alexandra; Santora, Jarrod A; Field, John C.
Affiliation
  • Bizzarro JJ; Fisheries Collaborative Program, Cooperative Institute for Marine Ecosystems and Climate, University of California, Santa Cruz, 110 McAllister Way, Santa Cruz, California, 95060, USA. joe.bizzarro@noaa.gov.
  • Dewitt L; Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 110 McAllister Way, Santa Cruz, California, 95060, USA. joe.bizzarro@noaa.gov.
  • Wells BK; Environmental Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 110 McAllister Way, Santa Cruz, California, 95060, USA.
  • Curtis KA; Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 110 McAllister Way, Santa Cruz, California, 95060, USA.
  • Santora JA; Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 8901 La Jolla Shores Dr., La Jolla, California, 92037, USA.
  • Field JC; Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 110 McAllister Way, Santa Cruz, California, 95060, USA.
Sci Data ; 10(1): 496, 2023 07 27.
Article in En | MEDLINE | ID: mdl-37500662

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Fishes Type of study: Prognostic_studies Limits: Animals Country/Region as subject: America do norte Language: En Journal: Sci Data Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Fishes Type of study: Prognostic_studies Limits: Animals Country/Region as subject: America do norte Language: En Journal: Sci Data Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom