MAPME Biodiversity Reports
Threat Assessment and Conservation Analysis for Protected Areas
MAPME Biodiversity Reports
Open-source geospatial analysis for conservation impact management
Welcome
This website hosts threat assessment reports and conservation analyses for protected areas worldwide. The analyses leverage open geospatial data and the mapme.biodiversity R package to generate reproducible insights on ecosystem health and conservation pressures.
Available Reports
🇧🇴 Bolivia Threat Assessment
Period: 2000-2024
Focus: Forest Cover Loss & Burned Areas
Analysis of threat levels in Bolivian protected areas, examining:
- Primary forest cover loss trends
- Burned area dynamics (MODIS MCD64A1)
- Comparison between supported and non-supported areas
🇱🇦 Laos Forest Cover Evaluation
Period: 2000-2024
Focus: Forest Cover Loss & Conservation Outcomes
Evaluation of forest cover development in Lao protected areas, examining:
- Forest cover loss trends (2000-2024)
- Comparative analysis between project and non-project areas
- Temporal dynamics during project phases
India Forest Cover (Tripura)
Period: 2001-2024 Focus: Forest Cover Loss & Conservation Zoning
Assessment of forest cover loss in Tripura project villages, examining:
- Forest loss dynamics across three periods
- Comparison between project and non-project villages
- Implications for conservation zoning and land-use planning
Data Sources
Our analyses rely on globally consistent, openly available datasets:
| Dataset | Source | Resolution |
|---|---|---|
| Forest Cover | Global Forest Watch (Hansen et al., 2013) | 30m |
| Burned Areas | MODIS MCD64A1 | 500m |
| Protected Areas | WDPA/IUCN | Vector |
Methodology
The reports in this repository use the mapme.biodiversity R package, which provides:
- Standardized access to global environmental datasets
- Efficient zonal statistics computation
- Reproducible indicator calculations
- Support for parallel processing
Learn more about the package at: mapme-initiative.github.io/mapme.biodiversity
About This Project
This project is part of the MAPME Initiative (Maps for Planning, Monitoring and Evaluation in Development Cooperation), supporting KfW and partners with data based products to improve impact management of their projects. For more information see https://www.mapme-initiative.org/.
All code and data processing scripts are available in this repository. The analyses can be reproduced using the provided R scripts and openly available data sources.
Last updated: January 2026