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Tytuł:
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A decision tree for assessing the risks and benefits of publishing biodiversity data.
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Autorzy:
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Tulloch AIT; School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, Queensland, Australia. .; Wildlife Conservation Society, Global Conservation Program, Bronx, NY, USA. .; Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia. .
Auerbach N; School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
Avery-Gomm S; School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia.; Australian Research Council Centre of Excellence for Environmental Decisions, University of Queensland, St. Lucia, Queensland, Australia.
Bayraktarov E; School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
Butt N; School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
Dickman CR; Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.
Ehmke G; BirdLife Australia, Melbourne, Victoria, Australia.
Fisher DO; School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
Grantham H; Wildlife Conservation Society, Global Conservation Program, Bronx, NY, USA.
Holden MH; Australian Research Council Centre of Excellence for Environmental Decisions, University of Queensland, St. Lucia, Queensland, Australia.
Lavery TH; Biodiversity Institute, University of Kansas, Lawrence, KS, USA.
Leseberg NP; School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
Nicholls M; Atlas of Living Australia, National Collections & Marine Infrastructure, CSIRO, Acton, Australian Capital Territory, Australia.
O'Connor J; BirdLife Australia, Melbourne, Victoria, Australia.
Roberson L; School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
Smyth AK; Terrestrial Ecosystem Research Network (TERN), The University of Adelaide, Adelaide, South Australia, Australia.
Stone Z; School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
Tulloch V; School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia.
Turak E; NSW Office of Environment and Heritage, Sydney, New South Wales, Australia.; Australian Museum, Sydney, New South Wales, Australia.
Wardle GM; Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.
Watson JEM; School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, Queensland, Australia.; Wildlife Conservation Society, Global Conservation Program, Bronx, NY, USA.
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Źródło:
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Nature ecology & evolution [Nat Ecol Evol] 2018 Aug; Vol. 2 (8), pp. 1209-1217. Date of Electronic Publication: 2018 Jul 23.
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Typ publikacji:
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Journal Article; Research Support, Non-U.S. Gov't; Review
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Język:
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English
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Imprint Name(s):
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Original Publication: [London] : Springer Nature
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MeSH Terms:
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Biodiversity*
Decision Trees*
Information Dissemination*
Animals ; Criminal Behavior ; Humans ; Publishing ; Risk
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Entry Date(s):
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Date Created: 20180725 Date Completed: 20190523 Latest Revision: 20190528
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Update Code:
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20240105
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DOI:
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10.1038/s41559-018-0608-1
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PMID:
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30038417
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Inadequate information on the geographical distribution of biodiversity hampers decision-making for conservation. Major efforts are underway to fill knowledge gaps, but there are increasing concerns that publishing the locations of species is dangerous, particularly for species at risk of exploitation. While we recognize that well-informed control of location data for highly sensitive taxa is necessary to avoid risks, such as poaching or habitat disturbance by recreational visitors, we argue that ignoring the benefits of sharing biodiversity data could unnecessarily obstruct conservation efforts for species and locations with low risks of exploitation. We provide a decision tree protocol for scientists that systematically considers both the risks of exploitation and potential benefits of increased conservation activities. Our protocol helps scientists assess the impacts of publishing biodiversity data and aims to enhance conservation opportunities, promote community engagement and reduce duplication of survey efforts.
Comment in: Nature. 2018 Jul;559(7715):444. (PMID: 30042545)
Comment in: Nat Ecol Evol. 2019 Mar;3(3):319. (PMID: 30742101)
Comment in: Nat Ecol Evol. 2019 Mar;3(3):318. (PMID: 30742102)