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    吕汝丹, 何健, 刘慧杰, 姚敏, 程瑾, 谢磊. 羽叶铁线莲的分布区与生态位模型分析[J]. 北京林业大学学报, 2019, 41(2): 70-79. DOI: 10.13332/j.1000-1522.20180189
    引用本文: 吕汝丹, 何健, 刘慧杰, 姚敏, 程瑾, 谢磊. 羽叶铁线莲的分布区与生态位模型分析[J]. 北京林业大学学报, 2019, 41(2): 70-79. DOI: 10.13332/j.1000-1522.20180189
    Lü Rudan, He Jian, Liu Huijie, Yao Min, Cheng Jin, Xie Lei. Distribution and niche modeling analysis of Clematis pinnata[J]. Journal of Beijing Forestry University, 2019, 41(2): 70-79. DOI: 10.13332/j.1000-1522.20180189
    Citation: Lü Rudan, He Jian, Liu Huijie, Yao Min, Cheng Jin, Xie Lei. Distribution and niche modeling analysis of Clematis pinnata[J]. Journal of Beijing Forestry University, 2019, 41(2): 70-79. DOI: 10.13332/j.1000-1522.20180189

    羽叶铁线莲的分布区与生态位模型分析

    Distribution and niche modeling analysis of Clematis pinnata

    • 摘要:
      目的羽叶铁线莲为直立半灌木或藤本植物,是分布于我国北京、天津、河北及辽宁一带的特有种。由于羽叶铁线莲在形态上与其他同域分布的铁线莲属植物易发生混淆,在野外调查过程中往往被人忽视,因而相关研究比较缺乏。
      方法本研究在前期分类学修订和大量野外调查的基础上,采用最大熵生态位模型(MaxEnt)与地理信息系统(ArcGIS)方法对该物种的潜在分布区和适宜等级进行了预测。我们通过大量标本研究和考证,确定了羽叶铁线莲22个标本分布点,并明确了黑龙江没有羽叶铁线莲标本记录。
      结果在准确统计分布记录基础上,生态位模型分析结果表明羽叶铁线莲最适生地区集中在北京、河北北部、天津北部和辽宁西南部地区,且最适生地区面积非常狭小(36 137.62 km2)。山西省目前虽然没有羽叶铁线莲分布记录,但是存在着较大面积的适生分布区。ROC曲线的AUC=0.995,表明本研究结果预测可信度非常高。影响羽叶铁线莲分布区的影响因子主要有降水季节性(贡献率为39.6%)、平均年温差(14.5%)、海拔(14.4%)、最暖季节降水量(11.3%)、降水最少季节降水量(9.5%)等。羽叶铁线莲的最适区的环境参数为:降水季节性变异126.78,平均年温差42.41 ℃,海拔372.04 m,最暖季节降水量436.67 mm,降水最少季节降水量11.59 mm。
      结论羽叶铁线莲属于狭域分布种,主要受到降水季节性、平均年温差、海拔、最暖季节降水量、降水最少季节降水量为最重要的影响因子,根据国际自然及自然资源保护联盟(IUCN)标准, 属于易危等级,应该加以栽培和迁地保护。此外我们认为用于生态位模型分析的分布点记录应经过严格的分类学鉴定以确保分析结果的准确性。

       

      Abstract:
      ObjectiveClematis pinnata, a sub-shrub or vine, is restricted to small areas of northern China, including Beijing, Hebei Province, Tianjin of northern China, and Liaoning Province of northeastern China. Due to its ambiguous morphological characters, this species often does not attract attention and there have been very few studies on this species.
      MethodIn this study, we predicted the potential distribution area and suitable distribution habitat of this species using MaxEnt model and ArcGIS technique. We carefully verified 22 specimen localities of C. pinnata and recognized that Harbin is not a distribution site of this species.
      ResultMaxEnt analysis showed that the most suitable area of C. pinnata was concentrated in Hebei, Beijing, Tianjin, and adjacent area of Liaoning Province. Shanxi Province had a vast suitable area for C. pinnata, although there were no records of this species in Shanxi Province. The AUC of the ROC curve was 0.995, showing a high precision of the prediction analysis. The key environmental factors determining the potential distribution were precipitation seasonality (the contribution rate, 39.6%), temperature annual range (14.5%), altitude (14.4%), precipitation of the warmest quarter (11.3%), precipitation of driest quarter (9.5%). Those environmental variables in the most suitable areas were calculated as precipitation seasonality 126.78, temperature annual range 42.41℃, altitude 372.04 m, precipitation of the warmest quarter 436.67 mm, precipitation of the driest quarter 11.59 mm.
      ConclusionClematis pinnata is a narrowly distributed species, mainly influenced by the above mentioned ecological factors. According to IUCN standard, it belongs to the grade VU (vulnerable). The species should be protected using ex-situ conservation method. Furthermore, we propose that distribution records of the organisms using for MaxEnt analysis should be strictly identified to verify the accuracy of the results.

       

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