Adobe PDF - 2.7 MB - MD5: 51b686badbe42d6c8f1f84a85999f601
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Aug 7, 2019
Kim, Kwangchol; Wang, Ming-cheng; Ranjitkar, Sailesh; Liu, Suhong; Xu, Jianchu; Zomer, Robert J, 2018, "Replication Data for: Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China", https://doi.org/10.34725/DVN/XYOU4Q, World Agroforestry - Research Data Repository, V1
Climatic extremes such as drought have becoming a severe climate-related problem in many regions all over the world that can induce anomalies in vegetation condition. Growth and CO2 uptake by plants are constrained to a large extent by drought. Therefore, it is important to under... |
Aug 7, 2019
Rana, Santosh Kumar; Rana, Hum Kala; Ghimire, Suresh Kumar; Shrestha, Krishna Kumar; Ranjitkar, Sailesh, 2018, "Replication Data for: Predicting the impact of climate change on the distribution of two threatened Himalayan medicinal plants of Liliaceae in Nepal", https://doi.org/10.34725/DVN/IQUVQI, World Agroforestry - Research Data Repository, V1
Predicting the potential distribution of medicinal plants in response to climate change is essential for their conservation and management. Contributing to the management program, this study aimed to predict the distribution of two threatened medicinal plants, Fritillaria cirrhos... |
Adobe PDF - 344.3 KB - MD5: cc486f76967e3f179e41a144cede31ea
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Aug 7, 2019
Wang, Qing; Yang, Li; Ranjitkar, Sailesh; Wang, JunJie; Wang, XinRui; Zhang, DongXu; Wang, ZiYang; Huang, YanZi; Zhou, YiMing; Deng, ZhiXiong; Yi, Lubei; Luan, XiaoFeng; El-Kassaby, Yousry A; Guan, Wen-Bin, 2018, "Replication Data for: Distribution and in situ conservation of a relic Chinese oil woody species Xanthoceras sorbifolium (Yellowhorn)", https://doi.org/10.34725/DVN/U90K15, World Agroforestry - Research Data Repository, V1
To understand the contemporary and anticipated future (future 30–50 years) distribution of Chinese wild yellowhorn (Xanthoceras sorbifolium Bunge) and to improve the species’ in situ conservation strategy within the network of China’s National Nature Reserves (NNR), we used Biodi... |
Adobe PDF - 763.9 KB - MD5: 02f12e584a0113aab94b4d6d29fe4669
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Aug 7, 2019
Ranjitkar, Sailesh; Sujakhu, Nani Maiya; Lu, Yang; Wang, Qing; Wang, Mingcheng; He, Jun; Mortimer, Peter E; Xu, Jianchu; Kindt, Roeland; Zomer, Robert J, 2018, "Replication Data for: Climate modelling for agroforestry species selection in Yunnan Province, China", https://doi.org/10.34725/DVN/I4JGIM, World Agroforestry - Research Data Repository, V1
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 a... |
Aug 7, 2019 -
Replication Data for: Climate modelling for agroforestry species selection in Yunnan Province, China
MS Word - 23.1 KB - MD5: 83e8691b778c460fd0cb2d3e3d5c03f3
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Aug 7, 2019 -
Replication Data for: Climate modelling for agroforestry species selection in Yunnan Province, China
MS Word - 17.5 KB - MD5: 1570066c067b9ab4375316d7b5445f2e
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Aug 7, 2019 -
Replication Data for: Climate modelling for agroforestry species selection in Yunnan Province, China
MS Word - 28.5 KB - MD5: 25b99b6e3e2b84d2c0c2afe53379a10e
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