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.

Highlights

  • A better understanding of land-cover change and its impacts on soil degradation (Trimble and Crosson 2000), biodiversity loss (Baillie et al 2004; IUCN Red List of Threatened Species Version 2011), climate change and food security (Intergovermental Panel on Climate Change 2007), among other global and local effects (Foley et al 2005) has been perceived paramount for sustainable land management by both researchers and decision-makers (Verburg et al 2004; Turner 2010)

  • We found that, when calorific intake is combined with the distance to markets in the synthesised form of our index, its power to explain the global relationship of converted areas increased, compared with the regression that incorporated these values separately (R2 = 0.33 vs R2 = 0.27)

  • Our results suggest that biophysical suitability and a synthesised index of Economic Pressure on Land’’ (EPL) can contribute to explaining long-term patterns in land cover

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Summary

Introduction

A better understanding of land-cover change and its impacts on soil degradation (Trimble and Crosson 2000), biodiversity loss (Baillie et al 2004; IUCN Red List of Threatened Species Version 2011), climate change and food security (Intergovermental Panel on Climate Change 2007), among other global and local effects (Foley et al 2005) has been perceived paramount for sustainable land management by both researchers and decision-makers (Verburg et al 2004; Turner 2010). The desire to better describe drivers and patterns of land-cover change resulted in the development of several computational models representing a variety of approaches and underlying concepts (Rindfuss et al 2004; Verburg et al 2006; Smith et al 2010). Scharlemann School of Life Sciences, University of Sussex, Falmer, Brighton BN1 9QG, UK

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