Agriculture around the world is one of the industries most affected by, and faced with responsibility to mitigate, climate change. Through improvements in technology and efficiency as well as changes to land use management, agriculture can make an important contribution to meeting global commitments such as the Paris agreement or the Sustainable Development Goals. Yet international carbon markets have not resulted in sufficiently high financial returns to motivate the full potential of land sector changes in Australia and globally.

Agriculture in Eastern Europe and Central Asia is diverse, and has great potential to revitalize the economy of the countries in the region via improved productivity (efficiency) and higher total yield for food, fodder and fibre crops. Conservation agriculture can rise to the major challenge of making sustainable intensification of production systems a reality.

Over the past few decades, there has been increasing interest in recording landscape change. Monitoring programmes have been established to measure the scope, direction and rate of change, and assess the consequences of changes for multiple interests, such as biodiversity, cultural heritage and recreation. The results can provide feedback for multiple sectors and policy domains. Political interests may change over time, but long-term monitoring demands long-term funding. This requires that monitoring programmes remain relevant and cost-efficient.

Ecosystem services (ESs) are increasingly being used by many countries around the world as a framework for addressing the United Nations (UN) Sustainable Development Goals (SDGs). This review article of the usability of Libyan soil databases for ESs and SDGs is the first of its kind for North Africa.

It’s been ten years since open data first broke onto the global stage. Over the past decade, thousands of programs and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain.

Date: mai 2019

Source: AGTER

Note No 17 de Coordination Sud. Commission Agriculture et Alimentation (C2A)

Date de rédaction : mai 2019

Date: Mai 2019

Source: Foncier & Développement 

Par: Comité Technique Foncier & développement, AGTER

Ce numéro de « Regards sur le foncier » est composé d’une revue bibliographique et des communications écrites par des jeunes chercheurs. Ces textes sont issus des journées d’études de juillet 2018 organisées par le Comité technique « Foncier & développement » dans le cadre du chantier de réflexion collective « Systèmes agraires et accès des jeunes à la terre ».

The present study describes a methodology to quantify the gross soil nitrogen balance (SNB) for agricultural land use in the Tagus Nitrate Vulnerable Zone (TVZ) between 1989 and 2016, including effects of implementation of the EC Nitrates Directive (ND, 91/676/EEC) since 2004. The study uses decadal information from National Agricultural Census at parish level and is supported by a Geographical Information System (GIS). The average SNB of the TVZ decreased significantly (p 

We investigated wheat price relationships between the import-dependent countries in Central Asia and the South Caucasus and the Black Sea wheat exporters to assess wheat market efficiency. This is crucial for ensuring availability and access to wheat and for reducing food insecurity. Results from linear and threshold error correction models suggested a strong influence of trade costs on market integration in Central Asia, while those costs were of minor importance in the South Caucasus.

The growing demand for biofuel production increased agricultural activities in South Dakota, leading to the conversion of grassland to cropland. Although a few land change studies have been conducted in this area, they lacked spatial details and were based on the traditional bi-temporal change detection that may return incorrect rates of conversion. This study aimed to provide a more complete view of land conversion in South Dakota using a trajectory-based analysis that considers the entire satellite-based land cover/land use time series to improve change detection.