Farming
Keywords
Regions
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
status
Scale
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The data was collected in the catchment of Lake Cyohoha North to analyze socio-economic impact that the change in Land use/cover and lake degradation have had on smallholder farmers living within this catchment.
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This data is the result of collecting opinions of stakeholders on how they decide to use their land use products for generating benefits (food provision, fodder provision, energy provision, construction material provision and market value provision).
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MOFA regional retail and wholesale prices on popular crops (2007-2010): - rice - tomato - chili - maize - millet and others
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This graph illustrates the ties/relationships which exist in farmer-herder conflicts in southern Ghana. Contrary to what is often said the Fulani herders are not always those who cause conflict. They also develop strong ties with local associations, opinion leaders and represent an important workforce for large livestock owners. The density of relations does not end only with these relations above described, but it also involves the security agents and officials of the Ghanaian government who most often intervene in the resolution of conflicts.
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This table entails the full list of all plots sampled on the woody vegetation on 20x50m plots, which include the documentation of species, measuring allometric data of such species on the plots and other related data.
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The main topic of the survey is the assessment of the impact of 2012 flood on income and expenditure and poverty status of farmers. Twelve farmers in 19 villages in two municipalities (Malanville and Karimama) have been interviewed.
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This table contains relevant socio-demographic variables of local agro-pastoralists(and including varying climatic aridity)and number of valuation criteria cited from 2012 to 2013. The number of valuation criteria for the rainy season, dry season, cattle, goats and sheep are captured in this table.
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This data is the result of a stakeholder survey to identify their perception on the effects of land use alternatives. Regarding seven different ecosystem services(food provision, fodder provision, energy provision, construction material provision, market value provision, water provision and erosion control), it presents how they can be altered in a positive or a negative way by per cent when stakeholders choose a certain land use scenario.
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The population of livestock estimated for the Gowrie subdistrict of the Bongo district in the Upper East Region of Ghana. Data from 2013-2016 are based on projections with an annual growth rate of 10%.
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Data provides information about novel potential bio-energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries. The project “Regional potential assessment of novel bio energy crops in fifteen ECOWAS countries” was started by the different project partners (ECREEE, UNIDO and QUINVITA) based on the need to make an overall assessment of a series of novel potential bio energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries. This project fits in a broader strategic analysis of alternative energy needs and production, the key mandate of the mainfunding partner in the project, ECREEE. The project partners deliberately excluded conventional “bio energy” crops like sugarcane, oil palm, maize or sunflower as target crops, since they believed a sufficient knowledge base on the growing and processing crops was available globally and in the region. The novel bio energy crops chosen as targets for the study are a selection of crops for which either the agricultural knowledge is still limited and/or the use of the crop as an energy source is relatively new. The project team realizes that the list of selected crops is not an exhaustive list of potential bio energy crops and other novel crops may have a potential in the region. The project will develop a methodology that can be followed in the future for analyzing the potential of other crops and does not want to exclude this analysis in the future. The crops that have been selected for analysis in this project are: False Flax (Camelina sativa), Crambe (Crambe abyssinica), Cassava (Manihot esculenta), Castor bean (Ricinus communis), Cashew (Anacardium occidentale), Groundnut (Arachis hypogaea), Jatropha curcas and sweet sorghum (sweet version of Sorghum bicolor).