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A Local Application of Climate Niche Models for Chinese Fir and Possible Adaptation Strategies under a Changing Climate——A Case Study in Fujian Province,China

机译：变迁气候下中国冷杉的气候利基模型对气候利基模型的局部应用 - 以福建省为例

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《International Conference on Biomedical Engineering, Machinery and Earth Science》|2018年|1 CD-ROM|共6页
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作者
Haijun Kang; Biyun Xiao; Ling Chen;
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中图分类生物工程学（生物技术）;
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1. Adaptation Strategies to Climate Change in China-A Case Study of Heilongjiang Province [J] . Zhuang Li, Jia Li 东北农业大学学报（英文版） . 2013,第002期

机译：中国气候变化的适应策略-以黑龙江省为例
2. Planned sheltering as an adaptation strategy to climate change: Lessons learned from the severe flooding in Anhui Province of China in 2016 [J] . Wu Jiabing, Huang Cunrui, Pang Minghui, The Science of the Total Environment . 2019,第Deca1期

机译：计划的住房作为适应气候变化的策略：2016年中国安徽省特大洪灾的教训
3. Study on crown profile models for Chinese fir (Cunninghamia lanceolata) in Fujian Province and its visualization simulation [J] . Dong Chen, Wu Baoguo, Wang Chengde, Scandinavian Journal of Forest Research . 2016,第3期

机译：福建省杉木（Cunninghamia lanceolata）树冠轮廓模型及其可视化模拟的研究
4. A Local Application of Climate Niche Models for Chinese Fir and Possible Adaptation Strategies under a Changing Climate——A Case Study in Fujian Province,China [C] . Haijun Kang, Biyun Xiao, Ling Chen International Conference on Biomedical Engineering, Machinery and Earth Science . 2018

机译：变迁气候下中国冷杉的气候利基模型对气候利基模型的局部应用 - 以福建省为例
5. Topics in Modelling Adaptation Dynamics of Chinese Agriculture to Observed Climate Change [D] . Zhong, Honglin 2018

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6. Molecular data and ecological niche modeling reveal population dynamics of widespread shrub Forsythia suspensa (Oleaceae) in China’s warm-temperate zone in response to climate change during the Pleistocene [O] . Zi-Zhen Fu, Yong-Hua Li, Kai-Ming Zhang, 2014

机译：分子数据和生态位建模揭示了中国暖温带广泛分布的连翘（Forsythia suspensa）的种群动态以响应更新世期间的气候变化
7. Effects of climate change on maize production, and potential adaptation measures: a case study in Jilin Province, China [O] . Wang, Meng, Li, Yinpeng, Ye, Wei, 2011

机译：气候变化对玉米生产的影响及潜在的适应措施：以吉林省为例

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