Tropical forest loss enhanced by large-scale land acquisitions

Kyle Frankel Davis*, Heejin Irene Koo, Jampel Dell’Angelo, Paolo D’Odorico, Lyndon Estes, Laura J. Kehoe, Milad Kharratzadeh, Tobias Kuemmerle, Domingos Machava, Aurélio de Jesus Rodrigues Pais, Natasha Ribeiro, Maria Cristina Rulli, Mokganedi Tatlhego

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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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 languageEnglish
Pages (from-to)482-494
Number of pages13
JournalNature Geoscience
Volume13
Issue number7
Early online date22 Jun 2020
DOIs
Publication statusPublished - 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.

FundersFunder number
Columbia University’s Data Science Institute
National Science FoundationDBI-1052875
H2020 Marie Skłodowska-Curie Actions861509
National Socio-Environmental Synthesis Center

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