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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Scientific reports
2026
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/41724758/ |
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Table of Contents:
- Sociodemographic characteristics predict land use patterns by farmers near a protected area in Madagascar. Kauffman, Kayla M Pender, Michelle Rabezara, Jean Yves Rahary, Prisca Janko, Mark Kolinski, Lev Barrett, Tyler Randriamoria, Maheriniaina Toky Moody, James Soarimalala, Voahangy López-Carr, David Kramer, Randall Titcomb, Georgia Nunn, Charles Madagascar Humans Female Farmers Male Conservation of Natural Resources Agriculture Socioeconomic Factors Sociodemographic Factors Globally, most farms are smaller than 10 hectares. Land use by these smallholder farmers in agricultural frontiers is crucial to conservation, food security, and exposure to infectious diseases. However, solely survey-based land use studies miss the fine scale movements that collectively form an individual's land use and thus environmental exposures, particularly in fragmented landscapes. We applied movement ecology-based approaches with GPS and survey data to investigate how sociodemographic variables corresponded with land use among farmers living adjacent to Marojejy National Park in northeastern Madagascar. Our data on 902 individuals spanning 3 years revealed striking differences in land use by gender and socioeconomic status. Men traversed 65% (95% CI [51%, 82%]) more area and spent 30% less time (95% CI [20, 41%]) in the village than women. Socioeconomic status, educational attainment, and having young children covaried with time spent in secondary forests where vanilla is grown, swidden areas where slash-and-burn farming methods are used, and the national park. By revealing the extent to which social and demographic variables predict individual movement patterns, our work identifies targets for addressing emerging diseases and health disparities. The GPS and analytical approaches developed here can be applied elsewhere to provide policy insights and to understand variation across human-ecological systems.