4.7 Article

Predicting Shifts in the Suitable Climatic Distribution of Walnut (Juglans regia L.) in China: Maximum Entropy Model Paves the Way to Forest Management

期刊

FORESTS
卷 9, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/f9030103

关键词

species distribution; MaxEnt model; Juglans regia; climate change; suitable habitat

类别

资金

  1. National Special Water Programs [2017ZX07101-002, 2015ZX07203-011, 2015ZX07204-007, 2009ZX07210-009]
  2. Department of Environmental Protection of Shandong Province [SDHBPJ-ZB-08]
  3. Chinese Natural Science Foundation [39560023]
  4. Fundamental Research Funds for the Central Universities [2017MS065]

向作者/读者索取更多资源

Cultivation of woody oil plants in environmentally suitable habitats is a successful ecological solution for oil development and forest management. In this study, we predicted the influences of future climate change on the potentially suitable climatic distribution of an important woody oil plant species (walnut; Juglans regia L.) in China based on given climate change scenarios and the maximum entropy (MaxEnt) model. The MaxEnt model showed that the minimum temperature of the coldest month and annual precipitation were the most important determinant variables limiting the geographical distribution of J. regia. We have found that the current suitable environmental habitat of J. regia is mainly distributed in central and southwestern China. Results of the MaxEnt model showed that global warming in the coming half-century may lead to an increase in the area size of environmentally suitable habitats for J. regia in China, indicating more lands available for artificial cultivation and oil production. However, those suitable habitat gains may be practically inaccessible due to over-harvest and urban development, and effective management strategies are urgently needed to establish those forests. This research will provide theoretical suggestions for the protection, cultivation management, and sustainable utilization of J. regia resources to face the challenge of global climate change.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据