La Amazonía colombiana se encuentra en un período clave que exige la evaluación y el fortalecimiento de su proceso de desarrollo. Las altas tasas de deforestación evidenciadas y los eventos que vienen desenvolviéndose a raíz del proceso de posconflicto han llevado al gobierno y a numerosas entidades de cooperación internacional a destinar importantes recursos para fortalecer la economía local y mejorar las condiciones sociales y ambientales del territorio.

Sapelli (Entandrophragma cylindricum) and tali (Erythrophleum suaveolens) are among the most important timber
species harvested from Congo Basin forests. They also host edible caterpillars, Imbrasia oyemensis and Cirina
forda, respectively, which are important to the nutrition and income of rural and urban populations. This study
evaluated the density of these tree species within a 10 km radius around each of 4 villages and in the 2012
annual cutting areas of two timber concessions in the region of Kisangani (DRC). Sapelli and tali trees

The IUCN data base lists several plant species whose existence is currently threatened by human activities and climatic extremes. Here we report a methodology that monitors threat status of these species in near real time, by deriving data from multiple open data sources, by linking them via a machine learning analytical framework, with interpretations facilitated by a web based geospatial visualization framework.

The Promotion of Indigenous Nature Together (POINT) is a local non-profit organisation and a member of the Asian Indigenous Peoples Pact (AIPP). To deal with the problems caused by the progressive loss of indigenous knowledge, POINT decided to study the traditional forest management practices of the indigenous people living in Myay Latt. This is a village in western Myanmar where, despite their knowledge, experience and organisation, villagers have found it difficult to maintain their livelihood practices.

Due to its cost-effectiveness and repeatability of observations, high resolution optical satellite remote sensing has become a major technology for land use and land cover mapping. However, inventory compilers for the Land Use, Land Use Change, and Forestry (LULUCF) sector are still mostly relying on annual census and periodic surveys for such inventories. This study proposes a new approach based on per-pixel supervised classification using Sentinel-2 imagery from 2016 for mapping greenhouse gas emissions and removals associated with the LULUCF sector in Wallonia, Belgium.

There is extensive scientific evidence that both adaptation and mitigation are essential to address the problem of climate change. However, there is still limited knowledge about the possibilities for exploiting the interrelationships between these measures in the design and implementation of climate change activities. In this paper, first the adaptation–mitigation dichotomy and definitions of adaptation and mitigation are discussed.

In Indonesia, land cover change for agriculture and mining is threatening tropical forests, biodiversity and ecosystem services. However, land cover change is highly dynamic and complex and varies over time and space. In this study, we combined Landsat-based land cover (change) mapping, pixel-to-pixel cross tabulations and expert knowledge to analyze land cover change and forest loss in the West Kutai and Mahakam Ulu districts in East Kalimantan from 1990-2009.