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Forests 2018, 9(8), 487;

Predicting Potential Distribution and Evaluating Suitable Soil Condition of Oil Tea Camellia in China

Research Institute of Economic Forest and Fruit (Research Institute of Oil Tea Camellia), Hunan Academy of Forestry, Shaoshan South Road, No. 658, Changsha 410004, China
National Engineering Research Center for Oil Tea Camellia, Changsha 410004, China
Author to whom correspondence should be addressed.
Received: 3 July 2018 / Revised: 3 August 2018 / Accepted: 3 August 2018 / Published: 10 August 2018
(This article belongs to the Section Forest Ecology and Management)
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Oil tea Camellia, as a major cash and oil crop, has a high status in the forestry cultivation systems in China. To meet the current market demand for oil tea Camellia, its potential distribution and suitable soil condition was researched, to instruct its cultivation and popularization. The potential distribution of oil tea Camellia in China was predicted by the maximum entropy model, using global environmental and soil databases. Then, we collected 10-year literature data about oil tea Camellia soil and applied multiple imputation and factor modeling for an in-depth analysis of soil suitability for growing of oil tea Camellia. The prediction indicated that oil tea Camellia was mainly distributed in Hunan, Jiangxi, Zhejiang, Hainan, East Hubei, Southwest Anhui and most of Guangdong. Climatic factors were more influential than soil factors. The minimum temperature of the coldest month, mean temperature of the coldest quarter and annual precipitation were the most significant contributors to the habitat suitability distribution. In the cultivated area of oil tea Camellia, soil fertility was poor, organic matter was the most significant factor for the soil conditions. Based on climatic and soil factor analyses, our data suggest there is a great potential to spread the oil tea Camellia cultivation industry. View Full-Text
Keywords: oil tea Camellia; potential distribution; MaxEnt model; soil condition oil tea Camellia; potential distribution; MaxEnt model; soil condition

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Liu, C.; Chen, L.; Tang, W.; Peng, S.; Li, M.; Deng, N.; Chen, Y. Predicting Potential Distribution and Evaluating Suitable Soil Condition of Oil Tea Camellia in China. Forests 2018, 9, 487.

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