湖北农业科学 ›› 2022, Vol. 61 ›› Issue (11): 88-92.doi: 10.14088/j.cnki.issn0439-8114.2022.11.017

• 园艺·特产 • 上一篇    下一篇

气候变化下独一味的地理潜在分布区预测

熊钰丹   

  1. 四川师范大学地理与资源科学学院中心实验室,成都 610101
  • 收稿日期:2021-03-29 出版日期:2022-06-10 发布日期:2022-07-06
  • 作者简介:熊钰丹(1996-),女,四川邛崃人,在读硕士研究生,研究方向为遥感与GIS理论及应用,(电话)15882216714(电子信箱)1181361146@qq.com。
  • 基金资助:
    精准扶贫视角下凉山州农村留守人群犯罪空间分异特征及对策研究(18YJC850004)

Prediction on geographical potential distribution area of Lamiophlomis rotata

under climate change   

  1. XIONG Yu-dan
  • Received:2021-03-29 Online:2022-06-10 Published:2022-07-06

摘要: 为了解气候因子对独一味(Lamiophlomis rotata)生长状况的影响,通过ArcGIS和MaxEnt模型,利用110个独一味地理信息点以及19个气候变量模拟分析影响独一味分布的主要气候因子,预测2050s、2070s的RCP 2.6、RCP 8.5气候情景下独一味的分布格局。结果表明,训练集与测试集AUC值分别为0.975和0.978,模型模拟当代潜在分布区可信度极高。等温性(bio13)、最暖季均温(bio10)、最暖季节降雨量(bio18)是影响独一味地理分布的主要气候变量。独一味主要分布在中国的西南高原地区,包括四川省西部、西藏自治区东部等地,独一味最适生长区面积从西向东依次递减。未来气候与当前气候情景下独一味的生长区面积相比,未来气候情景下的独一味生长区面积都有一定程度的减少,且生长区随着生长区边缘向生长区中心消减。

关键词: 气候变化, 独一味(Lamiophlomis rotata), MaxEnt模型, 潜在分布区

Abstract: In order to understand the influence of climate factors on the growth status of Lamiophlomis rotata, 110 geographic information points and 19 climate variables were used to simulate and analyze the main factors affecting the distribution of Lamiophlomis rotata by ArcGIS and MaxEnt model. The distribution patterns of RCP 2.6 and RCP 8.5 in the 2050s and 2070s were predicted. The results showed that, the AUC values of the training set and the test set are 0.975 and 0.978, respectively, and the model is highly reliable in simulating the contemporary potential distribution area. Isotherm ality(bio13), mean temperature of the warmest season(bio10) and precipitation of the warmest season(bio18) are the main climatic variables affecting the geographical distribution of Lamiophlomis rotata. Lamiophlomis rotata is mainly distributed in the southwest plateau of China, including the western part of Sichuan Province and the eastern part of Tibet Autonomous Region. The optimum growth area of Lamiophlomis rotata is decreasing from West to East. Compared with the area of growth zone under the current climate scenario, the area of growth zone under the future climate scenario will decrease to a certain extent, and the growth zone will decrease from the edge of growth zone to the center of growth zone.

Key words: climate change, Lamiophlomis rotata, MaxEnt model, potential distribution area

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