Researches on the deforestation of the Amazon have gained prominence in the last recent
years, mainly with the change in the policy regarding the facing of this phenomenon by the …

There are a many reasons for creating quantitative models of deforestation, supported by a
variety of modelling techniques for doing so. We examine the suitability of four different …

Environmental vulnerability is an important tool to understand the natural and anthropogenic
impacts associated with the susceptibility to environmental damage. This study aims to …

Recent advancements in data science, coupled with the revolution in digital and satellite
technology, have catalyzed the potential for artificial intelligence (AI) applications in forestry …

The construction and expansion of highways aiming to improve the integration of the most
isolated regions in Brazil facilitated the access to many inhabited areas in the Amazon …

An increase in active fire data in the Amazon puts the entire international community on
alert, as they may result in fires and deforestation. Thus, this study aims to present the …

The main goal of the present study is to develop hydrological security model (HSM) and
landscape insecurity model (LIM) of the wetlands in moribund deltaic floodplain using a tree …

Predicting outcomes is critical for conservation prioritisation. We predicted the areas that are
likely to be impacted using a generalised estimating equation from a logistic regression and …

Deforestation and land use change (LUC) to expand the agricultural frontier in the Brazilian
Amazon deplete soil carbon (C) stocks, and negatively impact climate regulation. The variety …

Forests are important for the global carbon cycle, hydrothermal balance, and climate
change. Human activities can exert a significant impact on forest ecosystems, thereby …