| 中国假木贼属(Anabasis)的地理分布及潜在分布区预测 |
| |
| 引用本文： | 汪勇,闻志彬,张宏祥,张明理.中国假木贼属(Anabasis)的地理分布及潜在分布区预测[J].中国沙漠,2018,38(5):1033-1040. |
| |
| 作者姓名： | 汪勇 闻志彬 张宏祥 张明理 |
| |
| 作者单位： | 1. 中国科学院新疆生态与地理研究所 干旱区生物地理与生物资源重点实验室, 新疆 乌鲁木齐 830011;2. 中国科学院大学, 北京 100049;3. 中国科学院植物研究所, 北京 100093 |
| |
| 基金项目： | 国家重大科学研究计划项目（2014CB954201）；中国科学院战略生物资源服务网络计划项目（ZSBR-007）；中国科学院生物多样性保护策略项目（ZSSD-012） |
| |
| 摘 要： | 基于最大熵模型（MaxEnt）和地理信息系统，结合中国假木贼属（Anabasis）7个种的地理分布记录及19个环境因子，预测这7个种的潜在分布区及该属的分布中心，并分析其主导环境因子。采用受试者工作特征曲线下面积作为模型预测准确度的衡量指标，刀切法用于评估各环境因子在决定潜在分布区时的贡献量。结果显示：（1）白垩假木贼（A.cretacea）、高枝假木贼（A.elatior）、毛足假木贼（A.eriopoda）、无叶假木贼（A.aphylla）、盐生假木贼（A.salsa）和展枝假木贼（A.truncata）的潜在适生区集中在新疆北部、天山南麓及塔里木盆地西侧，短叶假木贼（A.brevifolia）的潜在适生区在新疆、甘肃、宁夏和内蒙古的部分地区。（2）中国假木贼属的分布中心在新疆准噶尔盆地、天山南麓、塔里木盆地西侧及甘肃西北部的河西走廊。（3）在19个环境因子中，对中国假木贼属这7个种分布区预测贡献量较大的生态因子是年平均气温、最湿月降水量、最干季度平均温度、平均降水量、最冷季度降水量、年均温变化范围和最湿季度降水量。
|
| 关 键 词： | 假木贼属(Anabasis) 最大熵模型(MaxEnt) 潜在分布区 分布中心 环境因子 |
| 收稿时间： | 2017-05-31 |
| 修稿时间： | 2017-08-28 |
Geographical Distribution and Prediction on Potential Distribution Areas of Anabasis in China |
| |
| Wang Yong,Wen Zhibin,Zhang Hongxiang,Zhang Mingli.Geographical Distribution and Prediction on Potential Distribution Areas of Anabasis in China[J].Journal of Desert Research,2018,38(5):1033-1040. |
| |
| Authors: | Wang Yong Wen Zhibin Zhang Hongxiang Zhang Mingli |
| |
| Institution: | 1. Key Laboratory of Biogeography and Bioresource in Arid Land of Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China |
| |
| Abstract: | Based upon the maximum entropy model and archaeological geographical information system, combined with the geographical distribution records of seven species of Chinese Anabasis and 19 biological climate variables, potential distribution areas and distribution center of Chinese Anabasis were predicted. At the same time, the major climatic factors that impact potential distribution of Chinese Anabasis.were analysed The value of AUC of area under Receiver Operating Characteristic Curve as the prediction accuracy standard of this model, and jackknife test was used to evaluate the contribution of each environmental variable in deciding potential distribution areas. The results show that:(1)A. cretacea, A. elatior, A. eriopoda,A. aphylla, A. salsa, and A. truncata have extensive potential distribution in the north of Xinjiang, the southern slope of Tianshan Mountain and west margin of Tarim Basin. While A. Brevifolia has extensive potential distribution in Xinjiang, Gansu, Ningxia and Inner Mongolia etc. (2)Through the calculation of species richness, we find that the distributional center of Chinese Anabasis L. mainly concentrated in the Xinjiang Junggar basin, southern slope of Tianshan Mountain, west margin of Tarim Basin and Hexi Corridor in the northwest of Gansu. (3)Among 19 environmental variables, there are seven environmental variables, just asannual mean temperature, precipitation of the wettest month, mean temperature of the driest quarter, annual precipitation, precipitation of the coldest quarter, annual mean temperature range and precipitation of the wettest quarter, which show a large amount of contribution to potential distribution of Chinese Anabasis. |
| |
| Keywords: | Anabasis maximum entropy model (MaxEnt) potential suitable distribution areas distributional center environmental variable |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《中国沙漠》浏览原始摘要信息 |
| 点击此处可从《中国沙漠》下载免费的PDF全文 |
|
