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The Land- Potential Knowledge System (LandPKS): mobile apps and collaboration for optimizing climate change investments

引用

Ecosystem Health and Sustainability 2016年第3期2卷 31-38页

作者： Jeffrey E.Herrick Adam Beh Edmundo Barrios Ioana Bouvier Marina Coetzee David Dent Emile Elias tomislav hengl Jason W.Karl Hanspeter Liniger John Matuszak Jason CNeff Lilian Wangui Ndungu Michael Obersteiner Keith D.Shepherd Kevin C.Urama Rik van den Bosch Nicholas P.Webb U.S.Department of Agriculture-Agricultural Research Service New Mexico State UniversityJornada Experimental Range MSC 3JERBox 30003Las CrucesNew Mexico 88003-8003 USA World Agroforestry Centre United Nations AvenueGigiriP.O.Box 30677Nairobi00100Kenya U.S.Agency for International Development 3014th StreetSW SA-44(Rm 848)WashingtonD.C.20024 USA Namibia University of Science and Technology 13 Storch StreetPrivate Bag 13388WindhoekNamibia Merchants of Light Ltd Forncett EndNorfolkEngland ISRIC-World Soil information Droevendaalsesteeg 36708PB WageningenThe Netherlands Center for the development and Environment University of BernHallerstrasse 103012BernSwitzerland U.S.Department of State/OES 2201 C St.NWWashingtonD.C.20520USA Environmental Studies Program University of Colorado at BoulderCampus Box 397BoulderColorado 80309 USA RCMRD SERVIR-Eastern&Southern AfricaP.O.Box 63200618 RuarakaNairobiKenya International Institute for Applied Systems Analysis Schlossplatz 1 A-2361LaxenburgAustria African Development Bank Avenue Jean-Paul II01 BP 1387Abidjan 01Côte d’Ivoire

Massive investments in climate change mitigation and adaptation are projected during coming *** of these investments will seek to modify how land is *** return on both types of investments can be increased through an understanding of land potential:the potential of the land to support primary production and ecosystem services,and its resilience.A Land-Potential Knowledge System(LandPKS)is being developed and implemented to provide individual users with point-based estimates of land potential based on the integration of simple,geo-tagged user inputs with cloud-based information and *** system will rely on mobile phones for knowledge and information exchange,and use cloud computing to integrate,interpret,and access relevant knowledge and information,including local knowledge about land with similar *** system will initially provide management options based on long-term land potential,which depends on climate,to-pography,and relatively static soil properties,such as soil texture,depth,and *** mod-ules will provide more specific management information based on the status of relatively dynamic soil properties such as organic matter and nutrient content,and of *** paper includes a discus-sion of how this system can be used to help distinguish between meteorological and edaphic drought.

关键词： agriculture analytics crowdsourcing expert systems extension knowledge management land evaluation land-use planning mobile apps sustainability sustainable land management

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