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中国农学通报 ›› 2022, Vol. 38 ›› Issue (32): 111-118.doi: 10.11924/j.issn.1000-6850.casb2021-1111

所属专题: 生物技术 油料作物

• 农业信息·科技教育 • 上一篇    下一篇

照片样线法大豆植被覆盖度测量精度分析

汪欢欢1(), 杨琴1, 蒲红梅1, 何进2, 程华3, 韩敏4, 赵学春1, 王志伟5, 金宝成1()   

  1. 1贵州大学动物科学学院,贵阳550025
    2贵州大学农学院,贵阳550025
    3兰州大学生命科学学院,兰州730000
    4贵州省自然资源勘测规划研究院,贵阳550004
    5贵州省草业研究所,贵阳550006
  • 收稿日期:2021-11-18 修回日期:2022-01-07 出版日期:2022-11-15 发布日期:2022-11-09
  • 通讯作者: 金宝成
  • 作者简介:汪欢欢,男,1995年出生,甘肃环县人,硕士研究生,研究方向:草地生态学研究。通信地址:550025 贵州省贵阳市花溪区贵州大学西校区,E-mail: 1768184350@qq.com
  • 基金资助:
    国家自然科学基金项目“基于土壤击实试验的山羊牧道形成过程研究”(31700390);贵州省普通高等学校科技拔尖人才支持计划“毛花雀稗无融合生殖机理研究”(黔教合KY字[2017]059);贵州省草地生态畜牧业人才基地开放基金“基于地理信息系统的贵州省草地空间分布分析”(RCJD2018-13);“斯特山区草地生产力提升关键技术集成与示范”(700352202103);贵州省科技计划项目“喀斯特山区草地生产力提升关键技术集成与示范”(黔科合支撑[2020]1Y076号)

Accuracy Analysis of Soybean Vegetation Coverage Measurement by Photo Line Transect Method

WANG Huanhuan1(), YANG Qin1, PU Hongmei1, HE Jin2, CHENG Hua3, HAN Min4, ZHAO Xuechun1, WANG Zhiwei5, JIN Baocheng1()   

  1. 1College of Animal Science, Guizhou University, Guiyang 550025
    2College of Agriculture, Guizhou University, Guiyang 550025
    3School of Life Sciences, Lanzhou University, Lanzhou 730000
    4Guizhou Institute of Natural Resources Survey and Planning, Guiyang 550004
    5Guizhou Institute of Pratacultural, Guiyang 550006
  • Received:2021-11-18 Revised:2022-01-07 Online:2022-11-15 Published:2022-11-09
  • Contact: JIN Baocheng

摘要:

植被覆盖度是单位面积内植被垂直投影面积占总面积的百分比,它是重要的生态学参数,同时也是大豆等农作物的重要农艺参数。理想的覆盖度测量耗时短,工具简单,结果准确,受人为因素影响小。本文以‘黔豆3号’、‘川豆16’和大黑豆等24个品种为研究对象,以照相法测量值作为参考,分析目估法、实地样线法和照片样线法测定大豆植被覆盖度的精度和适用性。结果表明:目估法测量的植被覆盖度误差最大,平均为7.8%,目估误差随株高的增高呈现出先增加后降低的趋势。实地样线法测量精度较高,误差小于3% (2.8%),但耗时最长,每个1 m×1 m样方需用时6.2 min。照片样线法误差小于3%,几乎不需要消耗野外采样时间,室内每个样方照片处理需耗时约3.0 min。相较于目估法,照片样线法具有更高的测量精度,相较于实地样线法,照片样线法能够节省野外采样时间,提高工作效率。因此推荐照片样线法作为大豆和类似植物覆盖度的测量方法,同时两条样线(样线长度合计为2.8 m)即可满足测量误差小于5%的精度要求。未来应进一步探索照片样线法在其他作物覆盖度测量中的适用性。

关键词: 照片样线法, 植被覆盖度, 精度分析, 大豆, 株高

Abstract:

Vegetation coverage is the percentage of the total ground area covered by the vertical projected area of vegetation. It is an important parameter in ecology and an important agronomic index of crops such as soybean. The ideal coverage measurement is less time consuming, requires simple tools, provides accurate results, and is less influenced by human factors. In this study, 24 soybean varieties, such as ‘Qiandou 3’, ‘Chuandou 16’ and ‘Daheidou’, were used for assessment. Different methods, including visual estimation, field line transect method and photo line transect method, were used to estimate soybean vegetation coverage and identify one with the maximum accuracy and applicability, using the measured values of the photography method as the reference. The results showed that visual estimation produced the largest error in vegetation coverage measurement, with an average of 7.8%. The error increased first and then decreased with the increase of plant height. The field line transect method displayed higher accuracy, the error was less than 3% (2.8%), but it took the longest time of 6.2 min for a 1 m × 1 m quadrat. The error of the photo line transect method was less than 3%, and it consumed less time for field sampling; processing the photos of each quadrat took only 3 min. Compared with visual estimation, the photo line transect method showed higher measurement accuracy. Besides, it saved the sampling time and improved work efficiency compared with the field line transect method. Therefore, the present study proposed the photo line transect method as the ideal method for vegetation coverage measurement of soybean and similar plant species. Two line-transects (the total length of the line transect was 2.8 m) via this method could meet the accuracy requirements, with an error of less than 5%. However, the applicability of the photo line transect method in measuring the coverage of other crops should be further explored.

Key words: photo line transect method, vegetation coverage, accuracy analysis, soybean, plant height

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