| Literature DB >> 26437636 |
Stuart L Pimm1, Sky Alibhai2, Richard Bergl3, Alex Dehgan4, Chandra Giri5, Zoë Jewell2, Lucas Joppa6, Roland Kays7, Scott Loarie8.
Abstract
Technologies to identify individual animals, follow their movements, identify and locate animal and plant species, and assess the status of their habitats remotely have become better, faster, and cheaper as threats to the survival of species are increasing. New technologies alone do not save species, and new data create new problems. For example, improving technologies alone cannot prevent poaching: solutions require providing appropriate tools to the right people. Habitat loss is another driver: the challenge here is to connect existing sophisticated remote sensing with species occurrence data to predict where species remain. Other challenges include assembling a wider public to crowdsource data, managing the massive quantities of data generated, and developing solutions to rapidly emerging threats.Entities:
Keywords: conservation; crowdsourcing; innovation; remote-sensing; technology; traditional knowledge
Mesh:
Year: 2015 PMID: 26437636 DOI: 10.1016/j.tree.2015.08.008
Source DB: PubMed Journal: Trends Ecol Evol ISSN: 0169-5347 Impact factor: 17.712