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Capturing the value of biosurveillance big data through natural capital accounting

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BIG EARTH DATA
卷 5, 期 3, 页码 352-367

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TAYLOR & FRANCIS LTD
DOI: 10.1080/20964471.2021.1946290

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Biodiversity; biosurveillance; big data; SDGs; policy; natural capital accounting; digital twins; modelling

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Global biodiversity is experiencing a crisis, leading to rapid advancements in biodiversity science and escalating policy developments to combat it. The use of biosurveillance big data as evidence for impactful policy measures is crucial, requiring the translation of data into value-based frameworks. An approach using natural capital accounting frameworks has been developed to integrate this process.
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.

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