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Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Traps, apps and maps: to what extent do they provide decision-grade data on biodiversity?
Author(s): Rudman, Hannah
Hart, Ben
English, Maggie
Turner, Craig
Fuentes-Montemayor, Elisa
Reed, Mark S.
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Keywords: Natural capital
biodiversity net gain
asset level data
decision grade data
Issue Date: 2022
Date Deposited: 13-Dec-2022
Citation: Rudman H, Hart B, English M, Turner C, Fuentes-Montemayor E & Reed MS (2022) Traps, apps and maps: to what extent do they provide decision-grade data on biodiversity?. <i>Scottish Geographical Journal</i>, 138 (3-4), pp. 209-227.
Abstract: Ecosystem services arising from the restoration of natural capital are now increasingly recognised as environmental opportunities and monetised, with international climate negotiations focussing on the need for investment into natural capital, and the finance sector pledging to invest. The finance sector has called for decision-grade, asset level data about nature projects in order to facilitate their reporting to investors. This paper offers a case study of novel digital data collection methods used to establish a baseline of faunal biodiversity in a Scottish nature-restoration project on the Bunloit estate which has secured private natural capital investment. Digital camera traps, acoustic sensors with eDNA samples and apps were used to create digital maps to ensure annual survey replication, and citizen scientist engagement. The results were classified by both professional ecologists and citizen scientists. We discuss how the digital data gathered through traps, apps and maps in the case study can be qualified as decision-grade data, according to the Taskforce for Nature-based Financial Disclosure’s specification. We conclude that decision-grade biodiversity data may be produced by practitioners, with limited resources, and make recommendations for data collection and governance methods to ensure nature restoration projects generate decision-grade data for ecosystem services markets.
DOI Link: 10.1080/14702541.2022.2112271
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