Pedro H.S. Brancalion 1 2 3 , Marcelo P.L. Medeiros 3 4
- 1Department of Forest Sciences, ‘Luiz de Queiroz’ College of Agriculture, University of São Paulo, Piracicaba, SP 13418-900, Brazil
- 2Center for Carbon Research in Tropical Agriculture, University of São Paulo, Piracicaba, SP 13418-900, Brazil
- 3Re.green, Rio de Janeiro, RJ 22470-060, Brazil
- 4Salata Institute for Climate and Sustainability, Harvard University, Cambridge, MA 02138, USA
Abstract
Forest restoration has to move beyond attempts to rebuild complex ecosystems and instead focus on creating the conditions for their self-organization. Artificial intelligence can support this transition by expanding human capacity to navigate complexity, but if applied uncritically, it could reinforce the very biases it is intended to overcome.
Keywords
carbon markets; ecological complexity; succession; assisted regeneration; precision monitoring; biodiversity co-benefits
