Abstract
Commodity agriculture continues to spread into tropical dry forests globally, eroding their social-ecological integrity. Understanding where deforestation frontiers expand, and which impacts this process triggers, is thus important for sustainability planning. We reconstructed past land-system change (1985-2015) and simulated alternative land-system futures (2015-2045) for the Gran Chaco, a 1.1 million km2 global deforestation hotspot with high biological and cultural diversity. We co-developed nine plausible future land-system scenarios, consisting of three contrasting policy narratives (Agribusiness, Ecomodernism, and Integration) and three agricultural expansion rates (high, medium, and low). We assessed the social-ecological impacts of our scenarios by comparing them with current biodiversity, carbon density, and areas used by forest-dependent people. Our analyses revealed four major insights. First, intensified agriculture and mosaics of agriculture and remaining natural vegetation have replaced large swaths of woodland since 1985. Second, simulated land-system futures until 2045 revealed potential hotspots of natural vegetation loss (e.g. western and southern Argentinian Chaco, western Paraguayan Chaco), both due to the continued expansion of existing agricultural frontiers and the emergence of new ones. Third, the strongest social-ecological impacts were consistently connected to the Agribusiness scenarios, while impacts were lower for the Ecomodernism and Integration scenarios. Scenarios based on our Integration narrative led to lower social impacts, while Ecomodernism had lower ecological impacts. Fourth, comparing recent land change with our simulations showed that 10% of the Chaco is on a pathway consistent with our Agribusiness narrative, associated with adverse social-ecological impacts. Our results highlight that much is still at stake in the Chaco. Stricter land-use and conservation planning are urgently needed to avoid adverse social-ecological outcomes, and our results charting the option space of plausible land-system futures can support such planning.
Original language | English |
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Article number | 064003 |
Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | Environmental Research Letters |
Volume | 19 |
Issue number | 6 |
Early online date | 9 May 2024 |
DOIs | |
Publication status | Published - Jun 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Author(s). Published by IOP Publishing Ltd.
Funding
We gratefully acknowledge support by the German Research Foundation (DFG, KU 2458/5-1), by the Federal Ministry of Education and Research (BMBF, PASANOA 031B0034A), by the Argentinian National Agricultural Technology Institute (INTA, PNNAT 1128052), by the Argentinian Ministry of Science, Technology and Innovation (MINCYT, PICT 2014-1481; CONATURAR, Redes Federales de Alto Impacto, MINCYT, 2023-102072649-APN-MCT) and by the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation program (Grant Agreement No. 101001239 SYSTEMSHIFT, http://hu.berlin/systemshift). We thank J N Volante and L Seghezzo for fruitful discussions, helpful advice, and input to the development of our policy narratives. We further thank M Mastrangelo for supporting the generation of our land-system maps. We express our sincere gratitude to all workshop participants for their efforts and insights in developing our policy narratives. Lastly, we are grateful to three reviewers for their thoughtful and constructive comments that helped to improve this manuscript. This research contributes to the Global Land Programme (https://glp.earth).
Funders | Funder number |
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Argentinian Government, Ministry for Science, Technology and Productive Innovation | |
Argentinian National Agricultural Technology Institute | |
European Research Council | |
Bundesministerium für Bildung und Forschung | PASANOA 031B0034A |
Bundesministerium für Bildung und Forschung | |
Ministerio de Ciencia, Tecnología e Innovación | PICT 2014-1481 |
Ministerio de Ciencia, Tecnología e Innovación | |
CONATURAR | 2023-102072649-APN-MCT |
Instituto Nacional de Tecnología Agropecuaria | PNNAT 1128052 |
Instituto Nacional de Tecnología Agropecuaria | |
Deutsche Forschungsgemeinschaft | KU 2458/5-1 |
Deutsche Forschungsgemeinschaft | |
Horizon 2020 Framework Programme | 101001239 |
Horizon 2020 Framework Programme |
Keywords
- forest-dependent people
- future scenarios
- impact assessments
- indigenous communities
- land-use change
- social-ecological archetypes
- tropical dry forests and savannas