Show simple item record

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

dc.contributor.advisor Cagle Ph.D., Nicolette
dc.contributor.author Brantley, Matthew
dc.contributor.author Mize, Charles
dc.contributor.author Qiao, Sunny
dc.date.accessioned 2019-12-06T12:06:06Z
dc.date.available 2019-12-06T12:06:06Z
dc.date.issued 2019-12-06
dc.identifier.uri https://hdl.handle.net/10161/19566
dc.description.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.
dc.language.iso en_US
dc.subject Carbon Credits
dc.subject Avoided Conversion
dc.subject GIS
dc.subject Biodiversity
dc.subject Forestry
dc.subject Environmental Management
dc.title Multi-Objective GIS Analysis for Avoided Conversion Carbon Credits and Biodiversity Conservation
dc.type Master's project
dc.department Nicholas School of the Environment and Earth Sciences
duke.embargo.months 0


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record