无人机在高山草甸植被破坏的研究——以某高山草甸为例
Drone Research on Vegetation Destruction in Alpine Meadows—Taking an Alpine Meadow as an Example
DOI: 10.12677/OJNS.2023.113055, PDF,   
作者: 唐文泰, 赵 男*, 刘创创:中国地质调查局廊坊自然资源综合调查中心,河北 廊坊
关键词: 无人机高山草甸草地退化生态修复UAV Alpine Meadow Degradation of Grassland Ecological Restoration
摘要: 随着人类活动对山地自然生态环境影响的加剧,山地植被正经历着前所未有的破坏,许多山地生态系统服务功能不断衰减,为实现山地生态系统的可持续发展,需要及时开展山地植被保护与修复。在此背景下,高山草甸作为典型的山地植被类型,其植被结构复杂、物种多样性高、稳定性强、生态功能重要,在生态修复中具有较高的研究价值。然而,受多种因素的影响,高山草甸面临着生境破碎化、退化等诸多问题。因此,本研究选取高山草甸作为研究对象,采用无人机航拍技术对其植被破坏情况进行实时监测与评估。同时通过实地调查、野外采样等方式获得草地植被破坏状况,并分析其影响因素。研究表明造成草甸退化可能的原因主要为自然环境影响、景区游客踩踏、村民过度放牧。本文针对某高山草甸草地退化的具体情况,采用近自然修复(封育、禁牧等)和人工促进修复(松耙、补播适宜的优良草种、施肥、鼠害监控和防治等)相结合的方式进行草地退化修复方案,提出应对和改良措施建议意见。研究结果可为高山草甸的保护和修复提供科学依据。
Abstract: With the intensified impact of human activities on the natural ecological environment of mountains, mountain vegetation is experiencing unprecedented damage and many mountain ecosystem service functions are decaying, in order to realize the sustainable development of mountain ecosystems, timely conservation and restoration of mountain vegetation is needed. In this context, alpine meadows, as a typical mountain vegetation type with complex vegetation structure, high species diversity, high stability and important ecological functions, have high research value in ecological restoration. However, influenced by many factors, alpine meadows face many problems such as habitat fragmentation and degradation. Therefore, in this study, alpine meadows were selected as the research object and their vegetation destruction was monitored and evaluated in real time by using unmanned aerial photography technology. At the same time, field surveys and field sampling were used to obtain the status of meadow vegetation destruc-tion and analyze its influencing factors. The study shows that the main causes of meadow degradation are natural environmental impact, trampling by tourists in scenic spots, crushing by wind power construction vehicles and grazing by villagers. In this paper, we adopt the combination of near-natural restoration (sealing, grazing ban, etc.) and artificial promotion restoration (pine harrowing, replanting suitable good grass seeds, fertilization, rodent monitoring and control, etc.) to carry out the meadow degradation restoration program in response to the specific situation of meadow degradation in an alpine meadow. Suggestions for response and improvement measures are proposed. The research results can provide scientific basis for the conservation and restoration of alpine meadows.
文章引用:唐文泰, 赵男, 刘创创. 无人机在高山草甸植被破坏的研究——以某高山草甸为例[J]. 自然科学, 2023, 11(3): 460-468. https://doi.org/10.12677/OJNS.2023.113055

参考文献

[1] Fawcett, D., Panigada, C., Tagliabue, G., Boschetti, M., Celesti, M., Evdokimov, A., et al. (2020) Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions. Remote Sensing, 12, Article No. 514. [Google Scholar] [CrossRef
[2] Gao, J.L., Meng, B.P., Liang, T.G., Feng, Q.S., Ge, J., Yin, J.P., et al. (2019) Modeling Alpine Grassland Forage Phosphorus Based on Hyper-spectral Remote Sensing and a Multi-Factor Machine Learning Algorithm in the East of Tibetan Plateau, China. ISPRS Journal of Photogrammetry & Remote Sensing, 147, 104-117. [Google Scholar] [CrossRef
[3] Capolupo, A., Kooistra, L., Berendonk, C., Boccia, L. and Suomalainen, J. (2015) Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Com-parison of Statistical Approaches. ISPRS International Journal of Geo-Information, 4, 2792-2820. [Google Scholar] [CrossRef
[4] Iqbal, Z., Roberts, J., Perez-Maldonado, R.A., Goodarzi Boroojeni, F., Swick, R.A. and Ruhnke, I. (2018) Pasture, Multi-Enzymes, Benzoic Acid and Essential Oils Positively Influence Performance, Intestinal Organ Weight and Egg Quality in Free-Range Laying Hens. British Poultry Science, 59, 180-189. [Google Scholar] [CrossRef] [PubMed]
[5] 郁尚钊, 孙义, 侯扶江. 无人机技术在草原研究和管理中的应用[J]. 草学, 2020(4): 8-18.
[6] 宜树华, 陈建军, 秦彧. 无人机航拍在青藏高原高寒草地生态系统研究中的初步应用[J]. 西南民族大学学报(自然科学版), 2016, 42(1): 1-7.
[7] 张涛, 杜健民, 张海军, 皮伟强, 高新超, 朱相兵. 基于无人机高光谱荒漠草原鼠洞识别方法研究[J]. 光电子(激光), 2022, 33(2): 120-126.
[8] 刘艳慧, 蔡宗磊, 包妮沙, 刘善军. 基于无人机大样方草地植被覆盖度及生物量估算方法研究[J]. 生态环境学报, 2018, 27(11): 2023-2032.
[9] 邵全琴, 郭兴健, 李愈哲, 汪阳春, 王东亮, 刘纪远, 樊江文, 杨帆. 无人机遥感的大型野生食草动物种群数量及分布规律研究[J]. 遥感学报, 2018, 22(3): 497-507.
[10] 胡降临, 王以恒. 黄山风景区生态环境地面植被监测工作进展研究[J]. 绿色科技, 2022, 24(14): 212-216.
[11] 苗春丽, 伏帅, 刘洁, 高金龙, 高宏元, 包旭莹, 冯琦胜, 梁天刚, 贺金生, 钱大文. 基于UAV成像高光谱图像的高寒草甸地上生物量——以海北试验区为例[J]. 草业科学, 2022, 39(10): 1992-2004.
[12] 赵昌亮. 山西云顶山亚高山草甸退化草地修复技术浅析[J]. 山西水土保持科技, 2022(3): 26-28.
[13] 张新时, 唐海萍, 董孝斌, 李波, 黄永梅, 龚吉蕊. 中国草原的困境及其转型[J]. 科学通报, 2016, 61(2): 165-177.
[14] 张骞, 马丽, 张中华, 徐文华, 周秉荣, 宋明华, 乔安海, 王芳, 佘延娣, 杨晓渊, 郭婧, 周华坤. 青藏高寒区退化草地生态恢复: 退化现状、恢复措施、效应与展望[J]. 生态学报, 2019, 39(20): 7441-7451.
[15] 张乐乐, 赵林, 李韧, 高黎明, 肖瑶, 乔永平, 史健宗. 青藏高原唐古拉地区暖季土壤水分对地表反照率及其土壤热参数的影响[J]. 冰川冻土, 2016, 38(2): 351-358.
[16] 徐冉, 张圣微, 朱仲元, 庞文台. 放牧对典型草原区土壤水分及其对降雨响应规律的影响[J]. 中国草地学报, 2019, 41(3): 59-66.
[17] 米莹. 我国草牧业发展理论及科技支撑重点[J]. 花卉, 2018(8): 283.
[18] 陈文年. 高山草甸生物量及多样性的阴阳坡差异[J]. 西北师范大学学报(自然科学版), 2022, 58(5): 83-90.