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Biophysical suitability,economic pressure and land-cover change: a global probabilistic approach and insights for REDD+
Authors:Bernardo B N Strassburg  Agnieszka E Latawiec  Anna Creed  Nga Nguyen  Gilla Sunnenberg  Lera Miles  Andrew Lovett  Lucas Joppa  Ralph Ashton  Jörn P W Scharlemann  Felipe Cronenberger  Alvaro Iribarrem
Institution:1. International Institute for Sustainability, Estrada Dona Castorina, 124, Rio de Janeiro, 22460-320, Brazil
2. Department of Geography and the Environment, Pontificia Universidade Catolica, Rio de Janeiro, 22453-900, Brazil
5. Terrestrial Carbon Group, 900 17th St NW Suite, Washington, DC, 700, USA
3. Department of Production Engineering and Logistics, Opole University of Technology, Luboszycka 5, 45-036, Opole, Poland
4. School of Environmental Science, University of East Anglia, Norwich, NR4 7TJ, UK
6. Central European University, Nador u. 9, Budapest, 1051, Hungary
7. United Nations Environment Programme World Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge, CB3 0DL, UK
8. Microsoft Research, 21 Station Road, Cambridge, CB1 2FB, UK
9. School of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9QG, UK
10. Deparment of Geography, Universidade Federal Fluminense, Niteroi, 24220-900, Brazil
11. Valongo Observatory, Federal University of Rio de Janeiro, Ladeira Pedro Ant?nio, Rio de Janeiro, 20080-090, Brazil
12. European Southern Observatory, Karl-Schwartzschild-Str. 2, Garching bei München, Germany
Abstract:There has been a concerted effort by the international scientific community to understand the multiple causes and patterns of land-cover change to support sustainable land management. Here, we examined biophysical suitability, and a novel integrated index of “Economic Pressure on Land” (EPL) to explain land cover in the year 2000, and estimated the likelihood of future land-cover change through 2050, including protected area effectiveness. Biophysical suitability and EPL explained almost half of the global pattern of land cover (R 2 = 0.45), increasing to almost two-thirds in areas where a long-term equilibrium is likely to have been reached (e.g. R 2 = 0.64 in Europe). We identify a high likelihood of future land-cover change in vast areas with relatively lower current and past deforestation (e.g. the Congo Basin). Further, we simulated emissions arising from a “business as usual” and two reducing emissions from deforestation and forest degradation (REDD) scenarios by incorporating data on biomass carbon. As our model incorporates all biome types, it highlights a crucial aspect of the ongoing REDD + debate: if restricted to forests, “cross-biome leakage” would severely reduce REDD + effectiveness for climate change mitigation. If forests were protected from deforestation yet without measures to tackle the drivers of land-cover change, REDD + would only reduce 30 % of total emissions from land-cover change. Fifty-five percent of emissions reductions from forests would be compensated by increased emissions in other biomes. These results suggest that, although REDD + remains a very promising mitigation tool, implementation of complementary measures to reduce land demand is necessary to prevent this leakage.
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