首页> 外文期刊>International journal of remote sensing >Using unmanned aerial vehicles to quantify spatial patterns of Nitraria tangutorum and Reaumuria songarica shrubs under different sand burial conditions in the Jiayuguan -national wetland, northwest China
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Using unmanned aerial vehicles to quantify spatial patterns of Nitraria tangutorum and Reaumuria songarica shrubs under different sand burial conditions in the Jiayuguan -national wetland, northwest China

机译:在西北地区嘉峪关湿地的不同砂埋地条件下,使用无人驾驶航空公司量化尼特拉亚唐村及重新询问松马灌木的空间模式

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摘要

sand burial is an important environmental stress affecting the distribution of plants in desert areas. It can change the spatial patterns of the population by affecting the environmental conditions. Nitraria tangutorum and Reaumuria songarica are dominant species in desert regions, and it is important to study their spatial patterns under different sand burial conditions to clarify the adaptive strategies of xerophytes. Unmanned aerial vehicles are ideal tools for the measurement of ecological phenomena. We here used an unmanned aerial vehicle to study the spatial patterns of the two species. Results show that (1) unmanned aerial vehicles can provide high-resolution (= 0.1 m) data and allow more efficient measurements than conventional ground-based survey methods; (2) with an increase in sand burial depth, the distribution of N. tangutorum showed aggregation, whereas R. songarica transformed from a clumped distribution at certain scales to a random distribution at all scales; and (3) the interspecific relationship between the two species changed from uncorrelated at all scales to correlated at a small scale. Our results suggest that the adaptability of N. tangutorum to a sandy environment is stronger than that of R. songarica. This may reflect the adaptive mechanism of xerophytes in desert areas.
机译:沙埋是影响沙漠地区植物分布的重要环境压力。它可以通过影响环境条件来改变人口的空间模式。 Nitraria Tangutorum和Reaumuria Songarica是沙漠地区的主导物种,重要的是在不同的砂葬礼条件下研究其空间模式,以澄清Xerophytes的适应性策略。无人驾驶飞行器是测量生态现象的理想工具。我们在这里使用了无人驾驶飞行器来研究两种物种的空间模式。结果表明,(1)无人驾驶航空车辆可以提供高分辨率(<= 0.1米)的数据,并允许比传统的地面调查方法更有效的测量; (2)随着砂埋深度的增加,N.曲局的分布显示聚集,而R.Songarica从某种尺度的块状分布转变为所有尺度的随机分布; (3)两种物种之间的间隙关系从所有尺度的不相关性改变为小规模相关。我们的结果表明,N.江菩ch对沙质环境的适应性比R. Songarica更强大。这可能反映了沙漠地区的异黄素的自适应机制。

著录项

  • 来源
    《International journal of remote sensing》 |2020年第2期|19-30|共12页
  • 作者单位

    Northwest Normal Univ Res Ctr Wetland Resources Protect & Ind Dev Engn Coll Geog & Environm Sci Lanzhou 730070 Gansu Peoples R China;

    Northwest Normal Univ Res Ctr Wetland Resources Protect & Ind Dev Engn Coll Geog & Environm Sci Lanzhou 730070 Gansu Peoples R China;

    Northwest Normal Univ Res Ctr Wetland Resources Protect & Ind Dev Engn Coll Geog & Environm Sci Lanzhou 730070 Gansu Peoples R China;

    Chinese Acad Sci Cold & Arid Reg Environm & Engn Res Inst State Key Lab Cryospher Sci Lanzhou Gansu Peoples R China;

    Northwest Normal Univ Res Ctr Wetland Resources Protect & Ind Dev Engn Coll Geog & Environm Sci Lanzhou 730070 Gansu Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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