Multi-Objective GIS Analysis for Avoided Conversion Carbon Credits and Biodiversity Conservation

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2019-12-06

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Abstract

This project develops a unique methodology in identifying individual tax parcels in North Carolina as possible locations for generating avoided conversion carbon offset credits, as well as including co-benefits such as ecological conservation and corridor viability. We used LiDAR canopy height data to estimate current and future carbon storage on each parcel, which were discounted based on their respective probability of conversion as determined by the randomForest statistical model. Conservation value was added to the carbon value in order to accommodate the multi-objective interests of our client, Duke Carbon Offset Initiative. The result of this project is a flexible GIS model that uses the three major inputs (carbon, conversion risk, conservation) to rank parcels for suitability based on the interests of the user. This unique method will help DCOI obtain their 2024 carbon-neutral goals for Duke University, protect key biodiversity areas, and set a framework for other academic institutions.

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Brantley, Matthew, Charles Mize and Sunny Qiao (2019). Multi-Objective GIS Analysis for Avoided Conversion Carbon Credits and Biodiversity Conservation. Master's project, Duke University. Retrieved from https://hdl.handle.net/10161/19566.


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