Synthesizing quantitative and qualitative understandings of deforestation drivers and solutions in protected areas in the Amazon

Authors: Katherine Siegel*, University of California - Berkeley, Meg Mills-Novoa, University of Arizona, Aldo Farah Perez, Florida International University, Eva Kinnebrew, University of Vermont, José Ochoa, University of California-Davis, Elizabeth Shoffner, University of Washington
Topics: Land Use and Land Cover Change, Qualitative Methods, Quantitative Methods
Keywords: Land use change, interdisciplinary methods, Amazon, deforestation, protected areas
Session Type: Paper
Day: 4/6/2020
Start / End Time: 4:40 PM / 5:55 PM
Room: Virtual Track 2
Presentation File: No File Uploaded


The protected areas of the Amazon Basin face escalating human pressure, with increases in deforestation driven by interacting political and socioeconomic forces at multiple spatial scales. Qualitative and quantitative studies of Amazonian deforestation have improved our understanding of the complex socio-enviromental drivers of land use change and the potential leverage points for reducing forest loss. However, while many scholars have called for integrating qualitative and quantitative methods in deforestation studies, this area has remained largely underexplored. Here, we bring together theories from critical discourse analysis and land system science with methods from interdisciplinary synthesis science to develop an integrative framework for understanding the drivers of and potential solutions to deforestation across three protected areas in the region: Jamanxim National Forest (Brazil), Tambopata and Bahuaja-Sonene National Parks (Peru), and Amboró and Carrasco National Parks (Bolivia). Our methodology iteratively combines remote sensing, predictive land use change modeling using DINAMICA, and critical discourse analysis of documents from state, NGO, and other stakeholders regarding the drivers and solutions of deforestation in our three case study sites to provide novel and salient insights into deforestation dynamics. We believe that our integrated methodology enables a better understanding of land use change dynamics, with implications for management and policies designed to reduce forest loss. We also reflect on the benefits and challenges of interdisciplinary land use change studies.

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