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Evaluating Impact Using Time-Series Data.
Wauchope, Hannah S; Amano, Tatsuya; Geldmann, Jonas; Johnston, Alison; Simmons, Benno I; Sutherland, William J; Jones, Julia P G.
Afiliación
  • Wauchope HS; Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, CB2 3QZ, UK; Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, TR10 9FE, UK. Electronic address: hannah.wauchope@gmail.com.
  • Amano T; School of Biological Sciences, University of Queensland, Brisbane, Australia; Centre for Biodiversity and Conservation Science, University of Queensland, Brisbane, Australia.
  • Geldmann J; Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, CB2 3QZ, UK; Center for Macroecology, Evolution and Climate, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
  • Johnston A; Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, CB2 3QZ, UK; Lab of Ornithology, Cornell University, Ithaca, New York, USA.
  • Simmons BI; Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, CB2 3QZ, UK; Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, TR10 9FE, UK; Department of Animal and Plant Sciences, University of Sheffield, Sheffield
  • Sutherland WJ; Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, CB2 3QZ, UK.
  • Jones JPG; School of Natural Sciences, Bangor University, Bangor, LL57 2UW, UK.
Trends Ecol Evol ; 36(3): 196-205, 2021 03.
Article en En | MEDLINE | ID: mdl-33309331
ABSTRACT
Humanity's impact on the environment is increasing, as are strategies to conserve biodiversity, but a lack of understanding about how interventions affect ecological and conservation outcomes hampers decision-making. Time series are often used to assess impacts, but ecologists tend to compare average values from before to after an impact; overlooking the potential for the intervention to elicit a change in trend. Without methods that allow for a range of responses, erroneous conclusions can be drawn, especially for large, multi-time-series datasets, which are increasingly available. Drawing on literature in other disciplines and pioneering work in ecology, we present a standardised framework to robustly assesses how interventions, like natural disasters or conservation policies, affect ecological time series.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Conservación de los Recursos Naturales / Biodiversidad Idioma: En Revista: Trends Ecol Evol Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Conservación de los Recursos Naturales / Biodiversidad Idioma: En Revista: Trends Ecol Evol Año: 2021 Tipo del documento: Article