Showing papers by "Ane Alencar published in 2016"
University of Brasília1, University of Puerto Rico2, Amazon.com3, Environmental Change Institute4, National Institute for Space Research5, Carnegie Institution for Science6, Lancaster University7, Museu Paraense Emílio Goeldi8, University of California, Berkeley9, Universidade Federal de Viçosa10, VU University Amsterdam11, Universidade Federal de Goiás12, Empresa Brasileira de Pesquisa Agropecuária13, United States Forest Service14, National Institute of Amazonian Research15, UPRRP College of Natural Sciences16, Goddard Space Flight Center17, Norwich University18, University of East Anglia19, Max Planck Society20
TL;DR: Improving monitoring strategies will allow a better understanding of the role of forest dynamics in climate-change mitigation, adaptation, and carbon cycle feedbacks, thereby reducing uncertainties in models of the key processes in the carbon cycle.
Abstract: Tropical forests harbor a significant portion of global biodiversity and are a critical component of the climate system. Reducing deforestation and forest degradation contributes to global climate-change mitigation efforts, yet emissions and removals from forest dynamics are still poorly quantified. We reviewed the main challenges to estimate changes in carbon stocks and biodiversity due to degradation and recovery of tropical forests, focusing on three main areas: (1) the combination of field surveys and remote sensing; (2) evaluation of biodiversity and carbon values under a unified strategy; and (3) research efforts needed to understand and quantify forest degradation and recovery. The improvement of models and estimates of changes of forest carbon can foster process-oriented monitoring of forest dynamics, including different variables and using spatially explicit algorithms that account for regional and local differences, such as variation in climate, soil, nutrient content, topography, biodiversity, disturbance history, recovery pathways, and socioeconomic factors. Generating the data for these models requires affordable large-scale remote-sensing tools associated with a robust network of field plots that can generate spatially explicit information on a range of variables through time. By combining ecosystem models, multiscale remote sensing, and networks of field plots, we will be able to evaluate forest degradation and recovery and their interactions with biodiversity and carbon cycling. Improving monitoring strategies will allow a better understanding of the role of forest dynamics in climate-change mitigation, adaptation, and carbon cycle feedbacks, thereby reducing uncertainties in models of the key processes in the carbon cycle, including their impacts on biodiversity, which are fundamental to support forest governance policies, such as Reducing Emissions from Deforestation and Forest Degradation.
172 citations
TL;DR: Agarwal et al. as mentioned in this paper presenta uma ferramenta de gestao for o planejamento da gestao ambiental e territorial das terras indigenas.
Abstract: As Terras Indigenas protegem uma grande proporcao da Amazonia brasileira, contribuindo para a reducao do desmatamento e manutencao do equilibrio climatico da regiao. Este papel ecologico e consequencia direta da gestao ambiental e territorial que os povos indigenas praticam tradicionalmente a milhares de anos. O cenario politico atual e o avanco do desmatamento e de outras atividades antropicas tem ameacado a autonomia e direitos historicamente conquistados. Adicionado a esse cenario, as mudancas climaticas tem o potencial de agravar os impactos ambientais que as Terras Indigenas estao expostas, ameacando suas tradicoes e modos de vida. Neste trabalho nos discutimos como o cenario politico e outras ameacas tem afetado os povos indigenas brasileiros, os efeitos das mudancas climaticas em seus territorios e os meios de adaptacao a tais mudancas. Como parte das possiveis acoes de adaptacao, apresentamos uma ferramenta de gestao para o planejamento da gestao ambiental e territorial das terras indigenas.
4 citations