Geography Research Works

Permanent URI for this collectionhttp://hdl.handle.net/1903/1641

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Author: search.filters.author.Panday, Frances Marie

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Now showing 1 - 4 of 4
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    Including Campus Forest Carbon Estimates Into Climate Mitigation Planning -- Year 3
    (2023-05-01) Howerton, Michael; James, Jarrett; Kopp, Katelyn; Panday, Frances Marie; Hurtt, George C.; Lamb, Rachel
    Summary of project led by student researchers in the UMD Department of Geographical Sciences to integrate high-resolution forest carbon estimates into the University of Maryland's Climate Action Plan and GHG Inventory. Covers year 3 progress of a three-year project funded by the UMD Sustainability Fund.
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    An Evaluation of the Climate Change Preparedness of Terrestrial Protected Areas
    (2022-05-01) Panday, Frances Marie; Hurrt, George; Lamb, Rachel
    The rate at which the climate changes and the direction of these shifts is highly variable across the landscape. As proposed by Loarie et al. (2009), the concept of a climate change velocity (CV) adds a spatial component to the rate at which the temperature increases across the landscape. Identifying where regions will experience the most significant changes in climate conditions is highly valuable for the management of areas with high ecological and societal value, such as protected areas (PAs). To examine the relationship between climate velocity and protected areas, Loarie et al. (2009) proposes the concept of a climate residence time (CRT), which estimates the length of time current climate conditions will remain in a given spatial location before shifting. Current infrastructure design managing protected areas is outdated and may be ill-equipped to handle future changes in climate. Current work examining the relationship between protected area and the CV is relatively new, but results are promising. Here, we evaluate the climate-change preparedness of terrestrial protected areas in MD by first, quantifying the magnitude of future changes using the climate residence time, and second, evaluating their capacity to manage changes by qualitatively scoring their associated management plans for climate adaptation and/or mitigation language. This two-fold approach showed that most PAs have climate residence times less than or equal to 1.5 years and had plans with little to no language addressing climate change and its associated impacts. This suggests that PAs in MD are poorly prepared for future changes in climate. Given these results, including CVs and CRTs within PA management plans would improve a park’s adaptive capacity but also signal the need for a cross-coordinated management effort that transcends different management and governance scales.
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    Peer-Reviewed Offset Protocol for U.S. Forest Projects 1.0
    (2022-04-29) Albee, Madeleine; Hoffman Delett, Camille; Panday, Frances Marie; Lamb, Rachel; Hurtt, George
    The protocol was developed for submission into Second Nature's Peer Review Offset Network by the Campus Forest Carbon Project. As of October 2022, the protocol is still under review. This offset protocol is a modified version of a previously adopted protocol created by the California Environmental Protection Agency Air Resources Board as a Compliance Offset Protocol for U.S. Forest Projects. The Campus Forest Carbon Project modified this protocol using NASA Carbon Monitoring System science to integrate a high-resolution remote sensing and modeling based quantification methodology into the voluntary carbon offset market for forest projects. Accompanying the protocol is a background and development document that outlines the specific changes to the protocol and the context surrounding its development.
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    Campus Forest Carbon Project Technical Guidance Document
    (2022-08-11) Panday, Frances Marie; Howerton, Michael; Kopp, Katelyn; Hurtt, George; Lamb, Rachel
    The technical guidance document was created for the Office of Sustainability to support the inclusion of forest carbon into UMD's Greenhouse Gas Inventory. This document outlines the Campus Forest Carbon's project role within UMD's climate action plan and the approach to calculating forest carbon dynamics on UMD managed and owned properties.