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Full-Text Articles in Nature and Society Relations
Expulsive Greening: A Cross-Sectional Analysis Of Green Gentrification In The Resilience Paradigm, Brooklyn 2010–2020, Rose Jimenez
Expulsive Greening: A Cross-Sectional Analysis Of Green Gentrification In The Resilience Paradigm, Brooklyn 2010–2020, Rose Jimenez
Dissertations, Theses, and Capstone Projects
Background: This project analyzes the spatial coincidence between gentrification typologies and urban greening in Brooklyn, New York from 2010 to 2020. Assets formed under the NYC Green Infrastructure Program were chosen as a proxy for urban greening to represent the spatial practice specifically within the 21st-century climate change resilience paradigm of development. Methods: First, five indexes measuring variations of economic and demographic conditions related to gentrification were applied to Brooklyn for comparative analysis: NOAA’s Social Vulnerability Indicators of Gentrification Pressure, The NYC Heat Vulnerability Index, The Small Area Index of Gentrification, Typologies of Gentrification and Displacement, and The Housing Risk …
Social-Ecological Heterogeneity Shapes Resilience Of Small-Scale Fisheries: An Interdisciplinary Analysis Of The Mexican Chocolate Clam Fishery In Loreto, Mexico, Kara E. Pellowe
Electronic Theses and Dissertations
All benefits provided by natural systems are embedded within coupled social-ecological systems (SESs). Fisheries are clear examples of SESs: through fishing, humans affect ecosystem structure and functioning, and in turn, receive benefits, including sustenance, employment, and cultural value. Resilience, the ability to maintain structure and function in the face of change, is key to sustaining the social and ecological components of fisheries-related SESs and their interactions. Many factors contribute to resilience, including heterogeneity. By identifying heterogeneity in these complex systems, we are better able to understand the capacity of fishery-related SESs to adapt to change, and contribute to management that …