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A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier
Geraldine Klarenberg1, Rafael Muñoz-Carpena2, Stephen Perz3
1Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA.
Road construction, like the Inter-Oceanic Highway, offers socio-economic benefits but drives deforestation and biodiversity loss. A new database in the Southwestern Amazon integrates human and natural data to study these impacts over time.
Area of Science:
- Coupled natural-human systems research
- Environmental science
- Socio-economics
Background:
- Road construction provides regional socio-economic advantages but is a significant driver of deforestation and land cover change.
- Increased migration and economic activities linked to road infrastructure can negatively impact local hydrology, wildlife, vegetation, and biodiversity.
- Understanding these impacts requires long-term data covering pre- and post-road conditions at scales relevant to both local and regional analyses.
Purpose of the Study:
- To develop a comprehensive database for studying the impacts of road construction in a coupled natural-human systems framework.
- To enable research on the effects of the Inter-Oceanic Highway on biodiversity and socio-economic factors in the Southwestern Amazon.
- To provide data suitable for analyzing changes over time and across spatial scales.
Main Methods:
- Development of a unique database for the tri-national frontier in the Southwestern Amazon.
- Integration of extensive socio-economic surveys and botanical field data.
- Utilization of remote sensing and reanalysis data for a holistic assessment.
Main Results:
- A rich, multi-faceted database has been created, suitable for in-depth coupled natural-human systems research.
- The database captures pre- and post-road paving conditions, crucial for temporal impact analysis.
- It links local human activities with biophysical system components at appropriate spatial scales.
Conclusions:
- The developed database is a valuable resource for understanding the complex interactions between infrastructure development and ecological/social systems.
- It facilitates research on the long-term consequences of major road projects in biologically sensitive areas.
- This integrated approach is essential for sustainable development planning in regions like the Southwestern Amazon.
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