Previous studies have combined climate, crop and economic models to examine the impact of climate change on agricultural production and food security, but results have varied widely due to differences in models, scenarios and input data. Recent work has examined (and narrowed) these differences through systematic model intercomparison using a high-emissions pathway to highlight the differences. This paper extends that analysis to explore a range of plausible socioeconomic scenarios and emission pathways.

L’analyse des aménagements hydro-agricoles en Afrique de l’Ouest permet de tirer des leçons concernant l’affectation foncière, qui peuvent servir pour orienter les aménagements en cours, ou ceux qui sont prévus dans les années à venir. Sans affectation foncière adéquate, les objectifs principaux des barrages – la lutte contre la pauvreté et l’amélioration de la production nationale de céréales – pourront difficilement être atteints.

This work assesses relationships between characteristic aggregate microstructures related to biological activity in soils under different long-term land use and the distribution and extractability of metal pollutants. We selected two neighbouring soils contaminated with comparable metal loads by past atmospheric deposition. Currently, these soils contain similar stocks, but different distributions of zinc (Zn) and lead (Pb) concentrations with depth.

The group of indicators to establish the impact of land management measures on natural resources in the agricultural landscapes in Slovenia is discussed and identifi ed. Each chosen natural resource indicator is defi ned regarding indicator status, quality parameters of an indicator and indicator costs. The indicators are divided into two subgroups: abiotic indicators and biodiversity indicators, whereby biodiversity indicators are threatened on tree levels: genetic, species and ecosystem level.

Our planet faces multiple and complex challenges in the twenty-first century. The 2030 Agenda for Sustainable Development commits the international community to act together to overcome them and transform our world for present and future generations.

There has been considerable discussion over the past thirty years on how to define “sustainable agriculture.” During most of this period, sustainability was exclusively considered an environmental issue and was therefore measured as such. The 2030 Agenda requires that all sectors, including agriculture, be considered from the point of view of the three dimensions of sustainability: economic, social and environmental.

Over the coming 35 years, agriculture will face an unprecedented confluence of pressures, including a 30 percent increase in the global population, intensifying competition for increasingly scarce land, water and energy resources, and the existential threat of climate change. To provide for a population projected to reach 9.3 billion in 2050 and support changing dietary patterns, estimates are that food production will need to increase from the current 8.4 billion tonnes to almost 13.5 billion tonnes a year.

The Definitions & Terminologies for SDG Indicator 2.4.1.: “Percentage of agricultural area under productive and sustainable agriculture".

On 25 September 2015, the 193 Member States of the United Nations adopted the 2030 Agenda for Sustainable Development – including 17 Sustainable Development Goals (SDGs) and 169 targets – committing the international community to end poverty and hunger and achieve sustainable development between 2016 and 2030. Six months later, a global indicator framework for the SDGs – comprising 230 indicators - was identified to monitor the 169 targets and track progress, becoming the foundation of the SDGs’ accountability structure.

Sustainable agricultural mechanization (SAM) is an essential input for the development of the smallholder farm sector in sub-Saharan Africa (SSA). The benefits of SAM range from drudgery reduction to improved timeliness of agricultural operations, increased input use efficiency, facilitating sustainable production intensification, ensuring environmental protection, and contributing to make agriculture more ‘climate-smart’. SAM is also important at other levels of the food supply system, for example in post-harvest operations, processing, marketing and transportation.

This report addresses the economic, environmental and social dimensions of agricultural development, with the objective of ensuring food and nutrition security, in terms of availability, access, utilization and stability. It focuses on the livestock component of agricultural systems, given the role of livestock as an engine for the development of the agriculture and food sector, and as a driver of major economic, social and environmental changes in food systems worldwide.

This paper is specifically about agricultural mechanisation: the opportunities provided by mechanisation for intensifying production in a sustainable manner, in value addition and agri-food value chain development, as well as the inherent opportunities implied for improved local economies and livelihoods. The establishment of viable business enterprises agro-processors, transport services, and so forth as a result of increased agricultural mechanisation in rural areas, is crucial to creating employment and income opportunities and, thereby, enhancing the demand for farm produce.