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AGRIS
AGRIS
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What is AGRIS?


AGRIS (International System for Agricultural Science and Technology) is a global public database providing access to bibliographic information on agricultural science and technology. The database is maintained by CIARD, and its content is provided by participating institutions from all around the globe that form the network of AGRIS centers (find out more here).  One of the main objectives of AGRIS is to improve the access and exchange of information serving the information-related needs of developed and developing countries on a partnership basis.


AGRIS contains over 8 million bibliographic references on agricultural research and technology & links to related data resources on the Web, like DBPedia, World Bank, Nature, FAO Fisheries and FAO Country profiles.  


More specifically


AGRIS is at the same time:


A collaborative network of more than 150 institutions from 65 countries, maintained by FAO of the UN, promoting free access to agricultural information.


A multilingual bibliographic database for agricultural science, fuelled by the AGRIS network, containing records largely enhanced with AGROVOCFAO’s multilingual thesaurus covering all areas of interest to FAO, including food, nutrition, agriculture, fisheries, forestry, environment etc.


A mash-up Web application that links the AGRIS knowledge to related Web resources using the Linked Open Data methodology to provide as much information as possible about a topic within the agricultural domain.


Opening up & enriching information on agricultural research


AGRIS’ mission is to improve the accessibility of agricultural information available on the Web by:


  • Maintaining and enhancing AGRIS, a bibliographic repository for repositories related to agricultural research.
  • Promoting the exchange of common standards and methodologies for bibliographic information.
  • Enriching the AGRIS knowledge by linking it to other relevant resources on the Web.

AGRIS is also part of the CIARD initiative, in which CGIARGFAR and FAO collaborate in order to create a community for efficient knowledge sharing in agricultural research and development.


AGRIS covers the wide range of subjects related to agriculture, including forestry, animal husbandry, aquatic sciences and fisheries, human nutrition, and extension. Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more. A growing number (around 20%) of bibliographical records have a corresponding full text document on the Web which can easily be retrieved by Google.

Members:

Resources

Displaying 501 - 505 of 9580

Connectivity and management enables fast recovery of plant diversity in new linear grassland elements

Journal Articles & Books
Décembre, 2016
Japon

QUESTIONS: How does small linear grassland elements (paddy levees and road verges) contribute to plant diversity patterns in sites with modern or traditional management? Which factors determine small‐scale plant species richness of small linear grassland elements in a Japanese agricultural landscape? LOCATION: Shiga Prefecture, Japan. METHODS: Aerial photos from 1963, 1985, 1995 and 2008 were used to investigate landscape changes and to measure landscape structures within a typical agricultural landscape (~25 km²).

Impact of land use/land cover change on changes in surface solar radiation in eastern China since the reform and opening up

Journal Articles & Books
Décembre, 2016
Chine

Observational evidence of the impacts of land use/land cover change (LULCC) on changes in surface solar radiation (SSR) in eastern China (EC) during 1979–2008 are identified by using diurnal temperature range as a proxy of SSR and by using observation minus reanalysis approach to disentangle these effects. For the period 1979–2008, the impact of LULCC is shown as a reduction in SSR in most stations in EC, whereas SSR in the reanalysis data has increased at nearly every location.

Modeling canopy conductance under contrasting seasonal conditions for a tropical savanna ecosystem of south central Mato Grosso, Brazil

Journal Articles & Books
Décembre, 2016
Brésil

Temporal variations in land-atmosphere water vapor exchange are more pronounced in seasonal environments, especially grass-dominated savannas (known as campo sujo Cerrado) of the southern and eastern Amazon Basin. Recent work in campo sujo indicates that rates of canopy conductance (gc) were directly and indirectly affected by a variety of meteorological variables, which limited our understanding of how seasonal variation in meteorology affected rates of gc. Thus, our overall objective here is to determine how individual meteorological variables affect seasonal variations in gc.

Effects of land use/cover change on land surface energy partitioning and climate in Northeast China

Journal Articles & Books
Décembre, 2016
Chine

The Simple Biosphere Model (SiB2) and the 2 × 2 km resolution National Land use/Land Cover database were used to investigate the effects of Land Use/Cover Change (LUCC) on land surface energy balance and climate in Jilin Province, northeast China, from 1990 to 2005. The spatial patterns of the components of surface energy balance (i.e., net radiation (R ₙ), latent heat (LH), sensible heat (SH), and albedo (α)) and climate (i.e., canopy temperature (T c), diurnal temperature range (DTR)), as well as the roles of land cover type in variations of energy balance and climate, were investigated.

Estimation of area under agroforestry using high resolution satellite data

Journal Articles & Books
Décembre, 2016
Inde

Agroforestry is an integrated self-sustainable land use management system that is not only capable of producing food from marginal agricultural land but also capable of maintaining and improving the quality of environment. It plays a vital role in achieving integrated rural and urban development. But reliable data on area under agroforestry is not available as methodology for estimation of area under agroforestry is not yet standardized. In this paper, we propose to use remote sensing techniques for estimation of area under agroforestry using high resolution satellite data.