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Workshop on Scaling up the ASB Millennium Ecosystem Goods 扩大的ASB的千年生态系统产品车间
Workshop on Scaling up the ASB Millennium Ecosystem Goods Assessment 04th - 07th October 2004 - Workshop proceedings - 05 November 2004 Edited by: Sandra J. Velarde, Kathryn Martell, Joyce Kasyoki and Tom Tomich Introduction Tropical forest margins are key sources of forest goods (products such as timber, food, and fuelwood). Despite their importance, little is known about the quantities produced or how they contribute to either local livelihoods or national economies. The Alternatives to Slash-and-Burn (ASB) programme is conducting an assessment of trends in the production, use, and value of ecosystem goods in tropical forest margins. Partners from benchmark sites in Cameroon, Brazil, Peru, Indonesia, Thailand, and the Philippines have joined the Global Coordination Team in Nairobi for an ASB Goods Assessment Workshop (4-7 October 2004). The purpose of this workshop was to identify major farm and forest products, and set a structural framework for quantifying key trends in their use. This workshop is part of ASB’s contribution to The Millennium Assessment (MA), an extensive study of the state of the worlds major ecosystems. In this workshop, ASB partners have identified major goods for food security, human health, and local and national economies. Participants have then defined units of analysis, identified classes of goods that can be compared across sites, discussed data reliability and availability, and set feasable priorities. In the first days of the workshop, participants identified maize, rice, cassava, and bananas as goods that are important at sites spanning the tropics. Case studies will be useful for categories of goods – such as fruits, bushmeat, and medicinals – that are so diverse they are difficult to compare across sites. Partners have returned to their home countries and institutions prepared to gather the necessary data for the goods assessment. Their findings will help revise research priorities, strengthen policies, and increase the relev
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