Abstract
Tropical forests are vital for global biodiversity, carbon storage and local livelihoods, yet they are increasingly under threat from human activities. Large-scale land acquisitions have emerged as an important mechanism linking global resource demands to forests in the Global South, yet their influence on tropical deforestation remains unclear. Here we perform a multicountry assessment of the links between large-scale land acquisitions and tropical forest loss by combining a new georeferenced database of 82,403 individual land deals—covering 15 countries in Latin America, sub-Saharan Africa and Southeast Asia—with data on annual forest cover and loss between 2000 and 2018. We find that land acquisitions cover between 6% and 59% of study-country land area and between 2% and 79% of their forests. Compared with non-investment areas, large-scale land acquisitions were granted in areas of higher forest cover in 11 countries and had higher forest loss in 52% of cases. Oil palm, wood fibre and tree plantations were consistently linked with enhanced forest loss while logging and mining concessions showed a mix of outcomes. Our findings demonstrate that large-scale land acquisitions can lead to elevated deforestation of tropical forests, highlighting the role of local policies in the sustainable management of these ecosystems.
| Original language | English |
|---|---|
| Pages (from-to) | 482-494 |
| Number of pages | 13 |
| Journal | Nature Geoscience |
| Volume | 13 |
| Issue number | 7 |
| Early online date | 22 Jun 2020 |
| DOIs | |
| Publication status | Published - Jul 2020 |
Funding
K.F.D. was supported in part by Columbia University’s Data Science Institute. K.F.D, J.D., P.D., M.C.R. and M.T. were partially supported by the National Socio-Environmental Synthesis Center (SESYNC) through NSF grant DBI-1052875. J.D., M.C.R. and P.D. are part of the Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN) grant agreement no. 861509 – NEWAVE.
| Funders | Funder number |
|---|---|
| Columbia University’s Data Science Institute | |
| Horizon 2020 Framework Programme | |
| National Socio-Environmental Synthesis Center | |
| National Science Foundation | 1052875 |
| H2020 Marie Skłodowska-Curie Actions | 861509 |