Interactions among Amazon land use, forests and climate: prospects for a near-term forest tipping point

11 de fevereiro de 2008

fev 11, 2008

Daniel C Nepstad, Claudia M Stickler, Britaldo Soares- Filho, Frank Merry

Some model experiments predict a large-scale substitution of Amazon forest by savannah-like vegetation by the end of the twenty-first century. Expanding global demands for biofuels and grains, positive feedbacks in the Amazon forest fire regime and drought may drive a faster process of forest degradation that could lead to a near-term forest dieback. Rising worldwide demands for biofuel and meat are creating powerful new incentives for agro-industrial expansion into Amazon forest regions.

Forest fires, drought and logging increase susceptibility to further burning while deforestation and smoke can inhibit rainfall, exacerbating fire risk. If sea surface temperature anomalies (such as El Niño episodes) and associated Amazon droughts of the last decade continue into the future, approximately 55% of the forests of the Amazon will be cleared, logged, damaged by drought or burned over the next 20 years, emitting 15–26 Pg of carbon to the atmosphere.

Several important trends could prevent a near-term dieback. As fire-sensitive investments accumulate in the landscape, property holders use less fire and invest more in fire control. Commodity markets are demanding higher environmental performance from farmers and cattle ranchers. Protected areas have been established in the pathway of expanding agricultural frontiers. Finally, emerging carbon market incentives for reductions in deforestation could support these trends.

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Sistema Participativo de Monitoramento e Avaliação do PA Moju I&II e PDS Igarapé do Anta: Primeiros Resultados

Sistema Participativo de Monitoramento e Avaliação do PA Moju I&II e PDS Igarapé do Anta: Primeiros Resultados

A presente cartilha tem a finalidade de apresentar os resultados da primeira rodada de implantação do sistema participativo de monitoramento e avaliação, e que deve servir como “linha de base” ou ponto de referência para a análise de informações dentro do sistema daqui para frente.