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Entree

Towards an understanding of tipping points within tropical South American biomes

Processo: 13/50169-1
Linha de fomento:Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE
Vigência: 01 de fevereiro de 2014 - 31 de janeiro de 2018
Área do conhecimento:Interdisciplinar
Convênio/Acordo: Microsoft Research
Pesquisador responsável:Ricardo da Silva Torres
Beneficiário:Ricardo da Silva Torres
Instituição-sede: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas, SP, Brasil
Empresa: Microsoft
Pesquisadores principais:Rafael Silva Oliveira
Bolsa(s) vinculada(s):15/02105-0 - Identificando mudanças temporais na vegetação tropical sul-americana: uma abordagem via detecção de ponto de parada, BP.MS
14/06100-0 - Processos ecológicos levando a transições de fronteiras de biomas numa perspectiva multi-escala, BP.MS
14/06453-0 - Towards an understanding of tipping points within tropical South American biomes, BP.PD
Assunto(s):Ecossistema tropical  América do Sul  Aprendizado computacional  Sistemas dinâmicos  Análise multinível 

Resumo

Terrestrial ecosystems are currently undergoing unprecedented climate and human-induced disturbances, which are likely to push these systems towards changes in their physiognomies, structure, and functioning. It has been hypothesized that these new configurations may be alternative states of systems comprising vegetation-climate-disturbance interactions. The majority of the studies reporting ecosystem switches consider vegetation-climate-disturbance systems confined to certain spatial scales (local to continental) without accounting for multi-scale interactions and are unable to detect out-of-range changes and/or regime shifts in vegetation due to difficulties in collecting sufficiently long time series to define standard behavior of the system. In this context, we propose to investigate novel machine learning and image processing techniques aiming to support the use of multi-scale ecological knowledge in the analysis of vegetation-climate-disturbance systems. We also propose the use of the theory of dynamical complex systems as a novel way of filling up the gaps in evaluating ecosystem transitions, transients, and alternative states under imminent land use and climate change scenarios. (AU)

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