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 AGROVOC, FAO’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 CGIAR, GFAR 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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 4256 - 4260 of 9579Grassland degradation reduces the carbon sequestration capacity of the vegetation and enhances the soil carbon and nitrogen loss
Grassland degradation not only results in soil degradation and severe decreases in land productivity, but also can promote the emission of soil carbon and nitrogen compounds as greenhouse gases into the atmosphere. The primary objective of this study was to characterize the impact of grassland degradation on carbon and nitrogen budgets in Inner Mongolia, China. We investigated the changes of total carbon, organic carbon, inorganic carbon and total nitrogen that occur in a grassland ecosystem (including vegetation and top 30 cm soil layer) in the course of grassland degradation.
Best management practices and timber harvesting: the role of social networks in shaping landowner decisions
The influence of social others in private landowner decision-making has received limited attention despite growing support for peer-to-peer learning and landowner cooperative behavior. We applied social network analysis (SNA), a relatively novel methodology in the context of private forestry, to evaluate the influence of landowners' social networks on their forestry management decisions and as related to current policy arrangements in Wisconsin, USA.
Ecosystem mapping at the African continent scale using a hybrid clustering approach based on 1-km resolution multi-annual data from SPOT/VEGETATION
The goal of this study is to propose a new classification of African ecosystems based on an 8-year analysis of Normalized Difference Vegetation Index (NDVI) data sets from SPOT/VEGETATION. We develop two methods of classification. The first method is obtained from a k-nearest neighbour (k-NN) classifier, which represents a simple machine learning algorithm in pattern recognition. The second method is hybrid in that it combines k-NN clustering, hierarchical principles and the Fast Fourier Transform (FFT).
Considering the social dimension of invasive species: the case of buffel grass
The status of many invasive plant species that are also of high commercial value is contentious. Management of negative impacts depends on the support and co-operation of people who regard the species as an asset. For example, buffel grass (Cenchrus ciliaris) is highly prized by many pastoralists in Australia as an introduced pasture grass for livestock but it also has significant and deleterious environmental impacts. Identifying management strategies that minimise environmental impacts yet support production benefits is crucial for achieving sustainable outcomes.
review of spatial-explicit factors determining spatial distribution of land use/land-use change
Land development is necessary for human progress, but its impact has resulted in the degradation of ecosystem services not only locally and regionally, but globally as well. Human behavior toward land use/land-use change (LULUC) must be examined and fully understood in order to achieve better land management. Several studies were recently conducted on LULUC patterns, suggesting a relationship between spatial distribution of LULUC and land attributes.