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Predicting the impact of sea-level rise on intertidal rocky shores with remote sensing.
Schaefer, Nina; Mayer-Pinto, Mariana; Griffin, Kingsley J; Johnston, Emma L; Glamore, William; Dafforn, Katherine A.
Affiliation
  • Schaefer N; Centre for Marine Science & Innovation and Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia. Electronic address: n.schaefer@unsw.edu.au.
  • Mayer-Pinto M; Centre for Marine Science & Innovation and Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia; Sydney Institute of Marine Science, Mosman, NSW, 2088, Australia.
  • Griffin KJ; Centre for Marine Science & Innovation and Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
  • Johnston EL; Centre for Marine Science & Innovation and Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
  • Glamore W; Water Research Laboratory, School of Civil and Environmental Engineering, UNSW, Sydney, NSW, Australia.
  • Dafforn KA; Centre for Marine Science & Innovation and Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia; Sydney Institute of Marine Science, Mosman, NSW, 2088, Australia; Department of Environmental S
J Environ Manage ; 261: 110203, 2020 May 01.
Article in En | MEDLINE | ID: mdl-32148273

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Conservation of Natural Resources Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Oceania Language: En Journal: J Environ Manage Year: 2020 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Conservation of Natural Resources Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Oceania Language: En Journal: J Environ Manage Year: 2020 Type: Article