Catrina A Mackenzie

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CATRINA A. MACKENZIE 1 ∗,COLIN A. CHAPMAN 2 , 3 AND RAJA SENGUP T A 1 , 2 1Department of Geography, McGill University, 805 Rue Sherbrooke Ouest, Montreal, Quebec H3A 2K6, Canada, 2McGill School of Environment and Department of Anthropology, McGill University, Montreal, Quebec H3A 2T7, Canada and 3Wildlife Conservation Society, Bronx, New York, NY, USA Date(More)
Scholarly communication is at an unprecedented turning point created in part by the increasing saliency of data stewardship and data sharing. Formal data management plans represent a new emphasis in research, enabling access to data at higher volumes and more quickly, and the potential for replication and augmentation of existing research. Data sharing has(More)
Local residents' changing perceptions of benefits and problems from living next to a protected area in western Uganda are assessed by comparing household survey data from 2006, 2009, and 2012. Findings are contextualized and supported by long-term data sources for tourism, protected area-based employment, tourism revenue sharing, resource access agreements,(More)
Migration is a major factor shaping protected area landscapes. Combining historical narratives with interview, census, and satellite data, we investigate the ways in which migration has transformed the landscape surrounding Kibale National Park in western Uganda. We show that the region has gone from sparsely J. Hartter (&) Environmental Studies Program,(More)
Biodiversity conservation has been criticized for undermining or ignoring social well-being. Currently efforts to mutually promote social justice, rural development, and biodiversity conservation, which have been contentious and yielded mixed results, continue to spread despite a general dearth of effective management strategies. We contend that social and(More)
Understanding conservation and livelihood threats in park landscapes is important to informing conservation policy. To identify threats, we examined perceived risks of residents living near three national parks in Uganda. We used cross-sectional household data to document, rank, and measure severity of perceived risks. Three risk categories, grouped into(More)
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