Replication Data for: Climate modelling for agroforestry species selection in Yunnan Province, China
World Agroforestry - Research Data Repository Dataverse OAI Archive
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Title |
Replication Data for: Climate modelling for agroforestry species selection in Yunnan Province, China
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Identifier |
https://doi.org/10.34725/DVN/I4JGIM
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Creator |
Ranjitkar, Sailesh
Sujakhu, Nani Maiya Lu, Yang Wang, Qing Wang, Mingcheng He, Jun Mortimer, Peter E Xu, Jianchu Kindt, Roeland Zomer, Robert J |
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Publisher |
World Agroforestry - Research Data Repository
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Description |
Indigenous agroforestry systems have been practiced for centuries in the Himalaya Mountains and adjoining regions. With the increase of climate change associated risks, enhanced understanding of the impact of climate change and related phenomena on the potential distribution of agroforestry is increasingly useful and necessary, for both maintaining and improving yield and ecosystem function. In particular, increased understanding of these issues is crucial to identify both “how” and “where” efficient and systematic response mechanisms can be developed in advance to provide an array of adaptation options. Choosing the appropriate tree crop for current and future suitable location is a first important step and primary aspect in developing agroforestry systems that would meet regional needs for adaptation, mitigation, and ecological restoration. |
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Subject |
Agricultural Sciences
Computer and Information Science Earth and Environmental Sciences Camellias Walnuts Distribution Consensus method Ensemble model Intercropping |
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Contributor |
Sailesh Ranjitkar
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