[1] 傅立国.中国植物红皮书[M].北京:科学出版社, 1991.
[2] 方炎明.中国鹅掌楸的地理分布与空间格局[J].南京林业大学学报, 1994, 18(2):13-18.

FANG Yanming. Geographical distribution and spatial pattern of Liriodendron chinense (Hemsl.) Sarg.[J]. J Nanjing For Univ, 1994, 18(2):13-18.
[3] 贺善安, 郝日明.中国鹅掌楸自然种群动态及其致危生境的研究[J].植物生态学报, 1999, 23(1):87-95.

HE Shan'an, HAO Riming. Study on the natural population dynamics and the endangering habitat of Liriodendron chinense in China[J]. Acta Phytoecol Sin, 1999, 23(1):87-95.
[4] 郝日明, 贺善安, 汤诗杰, 等.鹅掌楸在中国的自然分布及其特点[J].植物资源与环境, 1995, 4(1):1-6.

HAO Riming, HE Shan'an, TANG Shijie, et al. Geographical distribution of Liriodendron chinense in China and its significance[J]. J Plant Resour Environ, 1995, 4(1):1-6.
[5] 陆畅, 李斌, 刘儒, 等.不同种源鹅掌楸抗寒性综合评价[J].浙江农林大学学报, 2016, 33(3):455-461.

LU Chang, LI Bin, LIU Ru, et al. Comprehensive evaluation on cold resistance of Liriodendron chinense from four provenances[J]. J Zhejiang A&F Univ, 2016, 33(3):455-461.
[6] 刘丹, 顾万春, 杨传平.中国鹅掌楸遗传多样性研究[J].林业科学, 2006, 42(2):116-119.

LIU Dan, GU Wanchun, YANG Chuanping. Genetic diversity of Liriodendron chinense in China[J]. Sci Silv Sin, 2006, 42(2):116-119.
[7] 张晓平, 王沁峰, 方炎明, 等.淹水胁迫对浙江种源鹅掌楸光合特征的影响[J].南京林业大学学报(自然科学版), 2007, 31(3):136-138.

ZHANG Xiaoping, WANG Qinfeng, FANG Yanming, et al. Effects of different water stress on photosynthetic characters of Liriodendron chinense from Zhejiang Province[J]. J Nanjing For Univ Nat Sci Ed, 2007, 31(3):136-138.
[8]

KOZAK K H, GRAHAM C H, WIENS J J. Integrating GIS-based environmental data into evolutionary biology[J]. Trends Ecol Evol, 2008, 23(3):141-148. doi:10.1016/j.tree.2008.02.001.
[9]

BELLARD C, BERTELSMEIER C, LEADLEY P, et al. Impacts of climate change on the future of biodiversity[J]. Ecol Lett, 2012, 15(4):365-377. doi:10.1111/j.1461-0248.2011.01736.x.
[10]

ESPÍNDOLA A, PELLISSIER L, MAIORANO L, et al. Predicting present and future intra-specific genetic structure through niche hindcasting across 24 millennia[J]. Ecol Lett, 2012, 15(7):649-657. doi:10.1111/j.1461-0248. 2012.01779.x.
[11]

AHMED S E, McINERNY G, O'HARA K, et al. Scientists and software-surveying the species distribution modelling community[J]. Diversity Distrib, 2015, 21(3):258-267.
[12]

BARBOSA F G, SCHNECK F. Characteristics of the top-cited papers in species distribution predictive models[J]. Ecol Model, 2015, 313:77-83.
[13]

PHILLIPS S J, ANDERSON R P, SCHAPIRE R E. Maximum entropy modeling of species geographic distributions[J]. Ecol Model, 2006, 190(3/4):231-259.
[14] 关心怡, 石慰, 曹坤芳.未来气候变化对广布种麻栎地理分布的影响和主导气候因子分析[J].热带亚热带植物学报, 2018, 26(6):661-668.

GUAN Xinyi, SHI Wei, CAO Kunfang. Effect of climate change in future on geographical distribution of widespread Quercus acutissima and analysis of dominant climatic factors[J]. J Tropic Subtropic Bot, 2018, 26(6):661-668.
[15] 李绒, 角媛梅, 刘歆, 等.基于MaxEnt模型的绿孔雀适宜生境评价及廊道设计[J].生态学杂志, 2019, 38(3):919-926.

LI Rong, JIAO Yuanmei, LIU Xin, et al. Suitability evaluation and corridor design of habitats for Pavo muticus based on MaxEnt Model[J]. Chin J Ecol, 2019, 38(3):919-926.
[16] 王茹琳, 李庆, 封传红, 等.基于MaxEnt的西藏飞蝗在中国的适生区预测[J].生态学报, 2017, 37(24):8556-8566.

WANG Rulin, LI Qing, FENG Chuanhong, et al. Predicting potential ecological distribution of Locusta migratoria tibetensis in China using MaxEnt ecological niche modeling[J]. Acta Ecol Sin, 2017, 37(24):8556-8566.
[17] 刘米兰, 李明阳, 王晓俊.快速交通对城市郊区獐的生境影响分析[J].浙江农林大学学报, 2012, 29(6):897-903.

LIU Milan, LI Mingyang, WANG Xiaojun. Impact of rapid transportation network on the potential habitat of Hydropotes inermis in suburban areas[J]. J Zhejiang A&F Univ, 2012, 29(6):897-903.
[18] 谢新锐, 李亭亭, 汪正祥, 等.基于GIS与MAXENT模型分析的国家公园传统用地适宜性评价及应用研究:以神农架国家公园为例[J].湖北大学学报(自然科学版), 2017, 39(5):437-443, 450.

XIE Xinrui, LI Tingting, WANG Zhengxiang, et al. The application research on suitability evaluation of traditional land use in national park based on GIS and MAXENT model, Shennongjia National Park as an example[J]. J Hubei Univ Nat Sci, 2017, 39(5):437-443, 450.
[19] 迈迪娜·吐尔逊.意大利苍耳在新疆的适生区分析研究[D].乌鲁木齐: 新疆大学, 2017.

Maidina Tuerxun. Studies on Suitable Geographie Distribution of Xanthium italicum Moretti in Xinjiang[D]. Urumqi: Xinjiang University, 2017.
[20] 刘超, 霍宏亮, 田路明, 等.基于MaxEnt模型不同气候变化情景下的豆梨潜在地理分布[J].应用生态学报, 2018, 29(11):3696-3704.

LIU Chao, HUO Hongliang, TIAN Luming, et al. Potential geographical distribution of Pyrus calleryana under different climate change scenarios based on the MaxEnt model[J]. Chin J Appl Ecol, 2018, 29(11):3696-3704.
[21]

HANLEY J A, McNEIL B J. The meaning and use of the area under a Receiver Operating Characteristic (ROC) curse[J]. Radiology, 1982, 143:29-36.
[22] 麻亚鸿.基于最大熵模型(MaxEnt)和地理信息系统(ArcGIS)预测藓类植物的地理分布范围: 以广西花屏自然保护区为例[D].上海: 上海师范大学, 2013.

MA Yahong. Applying MaxEnt and ArcGIS to Predict Mosses Geographic Distribution Range: A Case Study of Huaping Nature Reserve, Guangxi[D]. Shanghai: Shanghai Normal University, 2013
[23] 王章荣.鹅掌楸属树种杂交育种与利用[M].北京:中国林业出版社, 2005.
[24]

PARMESAN C. Ecological and evolutionary responses to recent climate change[J]. Annu Rev Ecol Evol Syst, 2006, 37:637-669.
[25]

MCKENNEY D W, PEDLAR J H, LAWRENCE K, et al. Potential impacts of climate change on the distribution of north American trees[J]. Bioscience, 2007, 57(11):939-948.
[26] 吴建国.气候变化对我国7种植物潜在分布的影响[J].广西植物, 2011, 31(5):595-607, 694.

WU Jianguo. The potential effects of climate change on the distributions of 7 plants in China[J]. Guihaia, 2011, 31(5):595-607, 694.
[27] 张兴旺, 李垚, 谢艳萍, 等.气候变化对黄山花楸潜在地理分布的影响[J].植物资源与环境学报, 2018, 27(4):31-41.

ZHANG Xingwang, LI Yao, XIE Yanping, et al. Effect of climate change on potential geographical distribution of Sorbus amabilis[J]. J Plant Resour Environ, 2018, 27(4):31-41.
[28] 李璇, 李垚, 方炎明.基于优化的Maxent模型预测白栎在中国的潜在分布区[J].林业科学, 2018, 54(8):154-165.

LI Xuan, LI Yao, FANG Yanming. Prediction of potential suitable distribution areas of Quercus fabri in China based on an Optimized Maxent model[J]. Sci Silv Sin, 2018, 54(8):154-165.
[29] 江志红, 张霞, 王冀. IPCC-AR4模式对中国21世纪气候变化的情景预估[J].地理研究, 2008, 27(4):787-799.

JIANG Zhihong, ZHANG Xia, WANG Ji. Projection of climate change in China in the 21st century by IPCC-AR4 Models[J]. Geogr Res, 2008, 27(4):787-799.
[30] 张殷波, 刘彦岚, 秦浩, 等.气候变化条件下山西翅果油树适宜分布区的空间迁移预测[J].应用生态学报, 2019, 30(2):496-502.

ZHANG Yinbo, LIU Yanlan, QIN Hao, et al. Prediction on spatial migration of suitable distribution of Elaeagnus mollis under climate change conditions in Shanxi Province, China[J]. Chin J Appl Ecol, 2019, 30(2):496-502.
[31] 周家骏, 高林.优良阔叶树种造林技术[M].杭州:浙江科学技术出版社, 1985.