The accelerated exploration of sub-surface mineral resources across much of Africa has created the need for proper administration of sub-surface land rights. The trend world-wide is a separate cadastre for mining.
This study contributes to the observed reduction of arable lands discourse by examining the shift in land use patterns as well as factors influencing farmers' shift from crop production to mining activities. To achieve this, we employed a combination of Geographic Information System (GIS) technology and Cragg's Double Hurdle Econometric Model as analytical tools. Our approach integrates an econometric model of land use with GIS simulations that predict the spatial pattern of land-use change.
In order for geospatial services to reach their full potential to benefit the people and the environment of the Amazon at multiple scales (regional, national, sub-national, community) by supporting communities in monitoring their territories and addressing the various challenges they face (such as deforestation, illegal mining, climate change, and biodiversity loss), it is important to have an inclusive vision that considers both the situation of local women and other actors in the region.
CONTEXT: The Greater Mekong Subregion has been undergoing rapid agricultural transformation over the last
decades, as traditional diverse subsistence-oriented agriculture is evolving towards intensified commercial
production systems. Negative environmental impacts often include deforestation, nutrient pollution, and
greenhouse gas (GHG) emissions.
OBJECTIVE: This study aims to explore the potential of crop-livestock integration to mitigate trade-offs between
The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) – hereafter the Alliance and its various partners supported by GIZ-Ethiopia is supporting the transformation plan of Ethiopia through developing structured soils/agronomy database and promoting improved analytical approaches.
Peru is the eighth largest producer of cacao beans globally, but high cadmium contents are constraining access to international markets which have set upper thresholds for permitted concentrations in chocolate and derivatives. Preliminary data have suggested that high cadmium concentrations in cacao beans are restricted to specific regions in the country, but to date no reliable maps exist of expected cadmium concentrations in soils and cacao beans.
A companion to the OECD States of Fragility 2022 report, this paper analyses the drivers and effects of climate and environmental risks in the Sahel,focusing on increasing food insecurity, rapid urbanisation and intensified mining. It outlines options for improved policy responses by providers of development co-operation.
Some of the largest impacts of climate change are expected in the environmentally heterogeneous and species rich high mountain ecosystems. Among those, the Neotropical alpine grassland above the tree line (c. 2,800 m), known as Páramo, is the fastest evolving biodiversity hotspot on earth, and one of the most threatened. Yet, predicting climate responses of typically slow-growing, long-lived plant linages in this unique high mountain ecosystem remains challenging.
The drivers of deforestation and land use change in the Peruvian Amazon and Andes are complex and interconnected, shaped by various factors, including agricultural expansion, wood extraction, mining, infrastructure development, climate change, and socio-economic factors. This review highlights the multifaceted nature of these drivers and their impacts on the environment and local communities. Addressing these issues requires a comprehensive approach that accounts for both direct and underlying drivers and the unique context of each region.
Multistakeholder dialogues are crucial in breaking down silos and bringing together diverse voices across landscapes. These dialogues ensure that everyone's needs are considered, leading to fairer and more inclusive outcomes. In the context of the CGIAR Initiative on Transforming AgriFood Systems West and Central Africa (TAFS-WCA), several MSDs were organized in targeted landscapes in Ghana and Nigeria to co-develop inclusive landscape management plans (ILMPs).
This study contributes to the observed reduction of arable lands discourse by examining the shift in land use patterns as well as factors influencing farmers' shift from crop production to mining activities. To achieve this, we employed a combination of Geographic Information System (GIS) technology and Cragg's Double Hurdle Econometric Model as analytical tools. Our approach integrates an econometric model of land use with GIS simulations that predict the spatial pattern of land-use change.
Gold mining in Peru has caused the loss of more than 96,000 hectares of primary forest in the last 30 years. In February 2019, the Peruvian government started an unprecedented mega-operation aimed at eradicating illegal gold mining in La Pampa by using a near real-time information system called RAMI (Radar Mining Monitoring) to detect gold mining and related deforestation in the Amazonian region faster and all year long. This is enabling them to target interventions to stop illegal practices.