Nicholas School of the Environment, Duke University, Box 90328, Durham, NC 27708, USA.
WildTrack Inc., JMP Division, SAS Institute, SAS Campus Drive, Cary, NC 27513, USA.
Trends Ecol Evol. 2015 Nov;30(11):685-696. doi: 10.1016/j.tree.2015.08.008. Epub 2015 Oct 1.
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.
随着物种生存受到的威胁日益增加，用于识别个体动物、追踪其活动、识别和定位动植物物种以及远程评估其生境状况的技术已经变得更好、更快、更便宜。新技术本身并不能拯救物种，而且新数据会带来新问题。例如，仅靠改进技术并不能阻止偷猎：解决办法需要为合适的人提供适当的工具。栖息地的丧失是另一个驱动因素：这里的挑战是将现有的复杂遥感技术与物种出现数据相连接，以预测物种仍然存在的地方。其他挑战包括召集更广泛的公众来众包数据，管理生成的大量数据，并针对快速出现的威胁开发解决方案。
