Source: Land Degradation & Development. Unidade: EESC
Subjects: ECOLOGIA DA PAISAGEM, FRAGMENTAÇÃO FLORESTAL, REDES NEURAIS, AUTÔMATOS CELULARES, POLÍTICA AMBIENTAL, AMAZÔNIA BRASILEIRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOREIRA, Rodrigo Martins et al. A landscape ecology approach: modeling forest fragmentation with artificial neural networks and cellular-automata Markov-chain for improved environmental policy in the southwestern Brazilian Amazon. Land Degradation & Development, p. 1-18, 2023Tradução . . Disponível em: https://dx.doi.org/10.1002/ldr.4945. Acesso em: 07 out. 2024.APA
Moreira, R. M., Lana, M., Sieber, S., & Malheiros, T. F. (2023). A landscape ecology approach: modeling forest fragmentation with artificial neural networks and cellular-automata Markov-chain for improved environmental policy in the southwestern Brazilian Amazon. Land Degradation & Development, 1-18. doi:10.1002/ldr.4945NLM
Moreira RM, Lana M, Sieber S, Malheiros TF. A landscape ecology approach: modeling forest fragmentation with artificial neural networks and cellular-automata Markov-chain for improved environmental policy in the southwestern Brazilian Amazon [Internet]. Land Degradation & Development. 2023 ; 1-18.[citado 2024 out. 07 ] Available from: https://dx.doi.org/10.1002/ldr.4945Vancouver
Moreira RM, Lana M, Sieber S, Malheiros TF. A landscape ecology approach: modeling forest fragmentation with artificial neural networks and cellular-automata Markov-chain for improved environmental policy in the southwestern Brazilian Amazon [Internet]. Land Degradation & Development. 2023 ; 1-18.[citado 2024 out. 07 ] Available from: https://dx.doi.org/10.1002/ldr.4945