Your browser doesn't support javascript.
loading
Assessment of a non-invasive approach to pregnancy diagnosis in gray whales through drone-based photogrammetry and faecal hormone analysis.
Fernandez Ajó, A; Pirotta, E; Bierlich, K C; Hildebrand, L; Bird, C N; Hunt, K E; Buck, C L; New, L; Dillon, D; Torres, L G.
Affiliation
  • Fernandez Ajó A; Geospatial Ecology of Marine Megafauna Lab, Marine Mammal Institute, Department of Fisheries, Wildlife and Conservation Sciences, Oregon State University, Newport 97365, OR, USA.
  • Pirotta E; Centre for Research into Ecological and Environmental Modelling, University of St Andrews, St Andrews, UK.
  • Bierlich KC; Geospatial Ecology of Marine Megafauna Lab, Marine Mammal Institute, Department of Fisheries, Wildlife and Conservation Sciences, Oregon State University, Newport 97365, OR, USA.
  • Hildebrand L; Geospatial Ecology of Marine Megafauna Lab, Marine Mammal Institute, Department of Fisheries, Wildlife and Conservation Sciences, Oregon State University, Newport 97365, OR, USA.
  • Bird CN; Geospatial Ecology of Marine Megafauna Lab, Marine Mammal Institute, Department of Fisheries, Wildlife and Conservation Sciences, Oregon State University, Newport 97365, OR, USA.
  • Hunt KE; Smithsonian-Mason School of Conservation, Department of Biology, George Mason University, 1500 Remount Road, Front Royal, VA 22630, USA.
  • Buck CL; Department of Biological Sciences, Northern Arizona University, 617 South Beaver Street, Flagstaff, AZ 86011, USA.
  • New L; Ursinus College, 601 East Main Street, Collegeville, PA 19426, USA.
  • Dillon D; Department of Biological Sciences, Northern Arizona University, 617 South Beaver Street, Flagstaff, AZ 86011, USA.
  • Torres LG; Geospatial Ecology of Marine Megafauna Lab, Marine Mammal Institute, Department of Fisheries, Wildlife and Conservation Sciences, Oregon State University, Newport 97365, OR, USA.
R Soc Open Sci ; 10(7): 230452, 2023 Jul.
Article in En | MEDLINE | ID: mdl-37476509

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: R Soc Open Sci Year: 2023 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: R Soc Open Sci Year: 2023 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido