文章基本信息

标题：Capturing the value of biosurveillance “big data” through natural capital accounting
本地全文：下载
作者：David Castle ; Paul D.N. Hebert ; Elizabeth L. Clare 等
期刊名称：Big Earth Data
印刷版ISSN：2096-4471
电子版ISSN：2574-5417
出版年度：2021
卷号：5
期号：3
页码：352-367
DOI：10.1080/20964471.2021.1946290
语种：English
出版社：Taylor & Francis Group
摘要：Global biodiversity is in crises. Recognition of the scale and pace of biodiversity loss is leading to rapid technological development in biodiversity science to identify species, their interactions, and ecosystem dynamics. National and international policy developments to stimulate mitigation and remediation actions are escalating to meet the biodiversity crises. They can take advantage of biosurveillance “big data” as evidence for more sweeping and impactful policy measures. The critical factor is translating biosurveillance data into the value-based frameworks underpinning new policy measures. An approach to this integration process, using natural capital accounting frameworks is developed.
关键词：Biodiversity;biosurveillance;big data;SDGs;policy;natural capital accounting;digital twins;modelling