Li Guoqing, Du Sheng, Guo Ke
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, 712100, China; Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 712100, China.
State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
PLoS One. 2015 Jul 15;10(7):e0131659. doi: 10.1371/journal.pone.0131659. eCollection 2015.
Chinese sea buckthorn (Hippophae rhamnoides subsp. sinensis) has considerable economic potential and plays an important role in reclamation and soil and water conservation. For scientific cultivation of this species across China, we identified the key climatic factors and explored climatically suitable habitat in order to maximize survival of Chinese sea buckthorn using MaxEnt and GIS tools, based on 98 occurrence records from herbarium and publications and 13 climatic factors from Bioclim, Holdridge life zone and Kria' index variables. Our simulation showed that the MaxEnt model performance was significantly better than random, with an average test AUC value of 0.93 with 10-fold cross validation. A jackknife test and the regularized gain change, which were applied to the training algorithm, showed that precipitation of the driest month (PDM), annual precipitation (AP), coldness index (CI) and annual range of temperature (ART) were the most influential climatic factors in limiting the distribution of Chinese sea buckthorn, which explained 70.1% of the variation. The predicted map showed that the core of climatically suitable habitat was distributed from the southwest to northwest of Gansu, Ningxia, Shaanxi and Shanxi provinces, where the most influential climate variables were PDM of 1.0-7.0 mm, AP of 344.0-1089.0 mm, CI of -47.7-0.0°C, and ART of 26.1-45.0°C. We conclude that the distribution patterns of Chinese sea buckthorn are related to the northwest winter monsoon, the southwest summer monsoon and the southeast summer monsoon systems in China.
中国沙棘(Hippophae rhamnoides subsp. sinensis)具有可观的经济潜力,在土地开垦和水土保持中发挥着重要作用。为了在中国科学种植该物种,我们基于来自标本馆和出版物的98条分布记录以及来自生物气候变量、霍尔德里奇生命地带变量和克里亚指数变量的13个气候因子,使用最大熵模型(MaxEnt)和地理信息系统(GIS)工具,确定了关键气候因子并探索了气候适宜生境,以最大限度提高中国沙棘的成活率。我们的模拟显示,MaxEnt模型的性能显著优于随机模型,10折交叉验证的平均测试AUC值为0.93。应用于训练算法的刀切法检验和正则化增益变化表明,最干月降水量(PDM)、年降水量(AP)、寒冷指数(CI)和年温度范围(ART)是限制中国沙棘分布的最具影响力的气候因子,它们解释了70.1%的变异。预测图显示,气候适宜生境的核心分布在甘肃、宁夏、陕西和山西等省的西南部至西北部,其中最具影响力的气候变量为PDM为1.0 - 7.0毫米、AP为344.0 - 1089.0毫米、CI为-47.7 - 0.0°C以及ART为26.1 - 45.0°C。我们得出结论,中国沙棘的分布格局与中国的西北冬季风、西南夏季风和东南夏季风系统有关。