Assessment of specific yields is important for effective groundwater management in semi-arid hardrock aquifers, especially in India with its unsustainable groundwater usage rates. The Dharta watershed in the Udaipur district of Rajasthan is one such hardrock area in India where the groundwater extraction rate is a concern.

Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data selected, and image processing methods used, among others. This study extracted agricultural fields in the former homelands of Venda and Gazankulu in Limpopo Province, South Africa.

As the applications of Earth system models (ESMs) move from general climate projections toward questions of mitigation and adaptation, the inclusion of land management practices in these models becomes crucial. We carried out a survey among modeling groups to show an evolution from models able only to deal with land-cover change to more sophisticated approaches that allow also for the partial integration of land management changes. For the longer term a comprehensive land management representation can be anticipated for all major models.

The central objective of this working paper produced by Jean-Christophe Diepart and Thol Sem, is to examine the recognition and formalisation of peasants’ land rights against the backdrop of Cambodian history and political economy of land and agrarian change.

It aims to understand how colonialism, war, socialism and the regional integration against a neoliberal background have shaped the land rights of smallholder farmers in contemporary Cambodia.

Agriculture is one of the driving forces that shaped the image of Republic of

This article presents a synthesis of analysis of how to use the most valuable natural

ASODESCO es una organización con una década de antigüedad que agrupó en sus inicios a un conjunto de 21 familias organizadas con el objetivo de mejorar sus formas deproducción hacia un modelo sostenible y amigable con el ambiente.

Money from pension funds has fuelled the financial sector’s massive move into farmland investing over the past decade. The number of pension funds involved in farmland investment and the amount of money they are deploying into it is increasing;under the radar. This unprecedented take-over of farmland by financial companies has major implications for rural communities and food systems;and must be challenged. Leaving it to the companies to police themselves with their own voluntary guidelines is a recipe for disaster.

One of the world's major buyers of farmland is under fire for their involvement in land conflicts, environmental destruction and risky investments. A new report by GRAIN and Rede Social de Justiça e Direitos Humano presents, for the first time, a comprehensive analysis of Harvard University's controversial investments in global farmland.

The report finds that:

Cotton production substantially contributes to the GDP of Uzbekistan. It is produced under a state procurement policy, according to which farmers have to allocate half of their land for cotton, fulfill cotton output levels and sell the entire harvest of cotton to the state. Land is state owned and a land consolidation process is in place, where land allocated to a farm can be reduced if cotton production targets are not met.

GRAIN has documented at least 135 farmland deals for food crop production that have backfired between 2007 and 2017. They represent 17.5 million hectares. These are not failed land grabs, since the land almost never goes back to the communities, but failed agribusiness projects. While higher standards of due diligence and stronger forms of liability are surely needed, the real challenge is to get the land back to the communities. No one should rest until that is achieved.

As the applications of Earth system models (ESMs) move from general climate projections toward questions of mitigation and adaptation, the inclusion of land management practices in these models becomes crucial. We carried out a survey among modeling groups to show an evolution from models able only to deal with land-cover change to more sophisticated approaches that allow also for the partial integration of land management changes. For the longer term a comprehensive land management representation can be anticipated for all major models.