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Global Agro Environmental Stratification (GAES)










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    Book (stand-alone)
    Agro-Ecological Zones in Punjab - Pakistan
    Final Report
    2019
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    A team of scientists and researchers from the University of Agriculture Faisalabad and University of Arid Agriculture Rawalpindi, in collaboration with FAO and Government of Punjab (Agriculture Department) worked together to delineate the Agro-Ecological Zoning (AEZ) in Punjab. AEZ refers to the division of Punjab region into land resource mapping units, having a unique combination of landform, soil and climatic characteristics, and/or land cover. Based on the most up to date collected information on natural resources, climate and agricultural markets, AEZ reveals an enormous potential for crop diversification and productivity. And it is the need of the hour in a country where population is rapidly growing and where climate changes (increases in temperature, changes in rainfall pattern, extreme weather events) evidence the vulnerability of the current agricultural systems. From a side AEZ will help to make smallholder farming a profitable business and overall enhance agriculture efficiency. On the other side, policymakers will be able to use data of AEZ and associated information on land characteristics (soil quality, topography, agricultural land use, yeld etc) to formulate optimal policies for sustainable agricultural production.
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    Book (series)
    A strategic reassessment of fish farming potential in Africa 1998
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    The present study is an update of an earlier assessment of warm-water fish farming potential in Africa, by Kapetsky (1994). The objective of this study was to assess locations and areal expanses that have potential for warm-water and temperate-water fish farming in continental Africa. The study was based on previous estimates for Africa by the above author, and on estimates of potential for warm-water and temperate-water fish farming in Latin America by Kapetsky and Nath (1997). However, a nu mber of refinements have been made. The most important refinement was that new data allowed a sevenfold increase in resolution over that used in the previous Africa study, and a twofold increase over that of Latin America (i.e. to 3 arc minutes, equivalent to 5 km x 5 km grids at the equator), making the present results more usable in order to assess fish farming potential at the national level. A geographical information system (GIS) was used to evaluate each grid cell on the basis of severa l land-quality factors important for fish-farm development and operation regardless of the fish species used. Protected areas, large inland water bodies and major cities were identified as constraint areas, and were excluded from any fish farming development altogether. Small-scale fish farming potential was assessed on the basis of four factors: water requirement from ponds due to evaporation and seepage, soil and terrain suitability for pond construction based on a variety of soil attributes a nd slopes, availability of livestock wastes and agricultural by-products as feed inputs based on manure and crop potential, and farm-gate sales as a function of population density. For commercial farming, an urban market potential criterion was added based on population size of urban centres and travel time proximity. Both small-scale and commercial models were developed by weighting the above factors using a multi-criteria decision-making procedure. A bioenergetics model was incorporated int o the GIS to predict, for the first time, fish yields across Africa. A gridded water temperature data set was used as input to a bioenergetics model to predict number of crops per year for the following three species: Nile tilapia (Oreochromis niloticus), African catfish (Clarias gariepinus) and Common carp (Cyprinus carpio). Similar analytical approaches to those by Kapetsky and Nath (1997) were followed in the yield estimation. However, different specifications were used for small-scale and co mmercial farming scenarios in order to reflect the types of culture practices found in Africa. Moreover, the fish growth simulation model, documented in Kapetsky and Nath (1997), was refined to enable consideration of feed quality and high fish biomass in ponds. The small-scale and commercial models derived from the land-quality evaluation were combined with the yield potential of each grid cell for each of the three fish species to show the coincidence of each land-quality suitability class with a range of yield potentials. Finally, the land quality-fish yield potential combinations were put together to show where the fish farming potential coincided for the three fish species. The results are generally positive. Estimates of the quality of land show that about 23% of continental Africa scored very suitable for both small-scale and commercial fish farming. For the three fish species, 50-76% of Africa's land has the highest yield range potential, and the spatial distribution of th is yield is quite similar among the species and farming systems. However, the spatial distribution of carp culture potential was greater than for Nile tilapia and African catfish. Combining the two farming system models with the favourable yields of the three fish species suggest that over 15% of the continent has land areas with high suitability for pond aquaculture.
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    Project
    Kuaijishan Ancient Chinese Torreya Community. GIAHS Proposal for the Globally Important Agricultural Heritage Systems (GIAHS) Initiative
    Globally Important Agricultural Heritage Systems (GIAHS)
    2013
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    Chinese Torreya (Torreya grandis cv. Merrillii) is a quality grafting plant resulting, over time, from careful artificial selection. Its main properties and economic values are different from other types of Torreya grandis and it can be used for nuts, medicine, logs, oil, ornaments, and environmental protection purposes. The Kuaiji mountain is the origin place of Chinese Torreya with the most well preserved ancient Torreya community, and more than 80% Chinese Torreya production is from this area . The Kuaijishan Ancient Chinese Torreya Community has over 2000 years of history. This Kuaijishan ancient community developed the application of grafting techniques in ancient China, which makes it a rare "living fossil" of ancient grafting and artificial selection techniques. The age of the oldest existing Chinese Torreya tree, already tested by experiments, is 1431 years, which might be the oldest living artificial grafted specimen in China. In addition, the Kuaijishan Ancient Chinese Torreya Community is a harmonious system that was created by the people of Shaoxing a long time ago that prevents soil erosion while providing diverse ‘high value’ economic products from the trees.

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