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机构地区:[1]浙江自然博物馆,浙江杭州310012 [2]上海师范大学生命与环境科学学院,上海200234
出 处:《杭州师范大学学报(自然科学版)》2016年第4期368-376,共9页Journal of Hangzhou Normal University(Natural Science Edition)
基 金:国家自然科学基金项目(31370233);上海市教委植物种质资源平台项目(B-6010-11-001)
摘 要:基于13个环境因子(海拔、植被覆盖率和11个气候因子)和51个地理分布记录数据,预测了暖地大叶藓在中国的潜在地理分布区和其他对13个环境因子的需求特点.结果发现:暖地大叶藓在贵州、云南、重庆、福建、浙江、湖北、四川、湖南、台湾和江西有很高的气候适应性,而在西北、东北和华北的适生能力低;在最冷季节、最干季节、最暖季节的平均温度分别为5~10℃、5~10℃和20~24℃,以及季节雨量变化、植被覆盖度和海拔分别为55~60mm、30%~60%和600~2 500m的区域下,暖地大叶藓具有高的潜在分布概率;随着最湿月份雨量增加和平均昼夜温差的下降,暖地大叶藓的分布概率上升.In the present paper, the potential geographical distribution of Rh. giganteurn in China is predicted based on 51 geographical distribution record data and 13 environmental variables including altitude, vegetation coverage and 11 bioclimatic variables. The results show that the higher climate adaptability for Rh. giganteum in Guizhou, Yunnan, Chongqing, Fujian, Zhejiang, Hubei, Sichuan, Hunan, Taiwan and Jiangxi, while the lower in the northwestern, northern and northeastern of China. The potential distribution probability of Rh. giganteurn is higher in the areas where the average temperatures of the coldest season, the driest season and the warmest season are 5-10℃, 5- 10℃, and 20-24℃, respectively, and the seasonal rainfall variations, the vegetation coverage and altitude are 55-60 mm, 30%-60%, and 600-2 500 m, respectively. With the increasing of the rainfall in the wettest month and the decreasing of the mean day night temperature difference, the distribution probability of Rh. giganteum increases.
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