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A decision tree for assessing the risks and benefits of publishing biodiversity data

Authors :
Tulloch, Ayesha I.T.
Auerbach, Nancy
Avery-Gomm, Stephanie
Bayraktarov, Elisa
Butt, Nathalie
Dickman, Chris R.
Ehmke, Glenn
Fisher, Diana O.
Grantham, Hedley
Holden, Matthew H.
Lavery, Tyrone H.
Leseberg, Nicholas P.
Nicholls, Miles
O’Connor, James
Roberson, Leslie
Smyth, Anita K.
Stone, Zoe
Tulloch, Vivitskaia
Turak, Eren
Wardle, Glenda M.
Watson, James E.M.
Tulloch, Ayesha I.T.
Auerbach, Nancy
Avery-Gomm, Stephanie
Bayraktarov, Elisa
Butt, Nathalie
Dickman, Chris R.
Ehmke, Glenn
Fisher, Diana O.
Grantham, Hedley
Holden, Matthew H.
Lavery, Tyrone H.
Leseberg, Nicholas P.
Nicholls, Miles
O’Connor, James
Roberson, Leslie
Smyth, Anita K.
Stone, Zoe
Tulloch, Vivitskaia
Turak, Eren
Wardle, Glenda M.
Watson, James E.M.
Source :
Nature Ecology and Evolution
Publication Year :
2018

Abstract

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.

Details

Database :
OAIster
Journal :
Nature Ecology and Evolution
Publication Type :
Electronic Resource
Accession number :
edsoai.on1343978882
Document Type :
Electronic Resource