Assessing Vegetation Coverage of Alpine Grassland Based on Unmanned Aerial Vehicle and Sentinel-2 Data

doi:10.11733/j.issn.1007-0435.2025.10.024

Acta Agrestia Sinica ›› 2025, Vol. 33 ›› Issue (10): 3362-3371.DOI: 10.11733/j.issn.1007-0435.2025.10.024

Assessing Vegetation Coverage of Alpine Grassland Based on Unmanned Aerial Vehicle and Sentinel-2 Data

XU Gan-jun^1,2, WU Sheng-yi², NIU Yue-chuan³, YAN Wen-de¹, KANG Xiao-ming^4,5, ZHANG Xiao-dong^4,5

1. Central South University of Forestry Technology, Changsha, Hunan Province 410004, China;
2. Key Laboratory of National Forestry and Grassland Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Northwest Survey and Planning Institute, National Forestry and Grassland Administration, Xi'an, Shanxi Province 710048, China;
3. College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
4. State Key Laboratory of Wetland Conservation and Restoration, Beijing Key Laboratory of Wetland Services and Restoration, Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China;
5. Sichuan Ruoergai Alpine Wetland Ecosystem Observation and Research Station, Aba, Sichuan Province 624500, China

Received:2024-12-04 Revised:2025-01-17 Published:2025-10-17

基于无人机和Sentinel-2数据的高寒草地植被覆盖度评估

徐干君^1,2, 吴胜义², 牛阅川³, 闫文德¹, 康晓明^4,5, 张骁栋^4,5

1. 中南林业科技大学, 湖南长沙 410004;
2. 国家林业和草原局西北调查规划院/旱区生态水文与灾害防治国家林业局重点实验室, 陕西西安 710048;
3. 中国科学院大学生命科学学院, 北京 100049;
4. 中国林业科学研究院生态保护与修复研究所/湿地环境保护与生态修复全国重点实验室/湿地生态功能与恢复北京市重点实验室, 北京 100091;
5. 四川若尔盖高寒湿地生态系统定位观测研究站, 四川阿坝 624500

通讯作者: 张骁栋,E-mail:zhangxiaod@caf.ac.cn
作者简介:张骁栋,E-mail:zhangxiaod@caf.ac.cn
基金资助:
国家林业和草原局西北调查规划院科技创新项目（XBY-KJCX-2023-02）；中国林业科学研究院生态保护与修复研究所科技项目（STSTC2023005）资助

Abstract

Abstract: Multispectral remote sensing indices have been widely used to estimate grassland fractional vegetation cover （FVC） on the Qinghai-Tibet Plateau. However， evaluating the accuracy of different remote sensing models is challenging due to the lack of ground verification of pixel matching corresponding to the remote sensing pixels. In this study， based on Sentinel-2 multispectral data and near-ground RGB imagery captured by an unmanned aerial vehicle （UAV）， a pixel dichotomy model （PD model） and a random forest model （RF model） were developed to estimate the FVC of Maqin County in the Yellow River source region in 2023. This study compared the inversion accuracy and spatial discrepancies in FVC predictions between the two models. The results showed that the goodness of fitting degree for the PD model and RF model were 0.68 and 0.78， respectively， with the RF model overall providing higher accuracy in FVC estimation. Both models displayed similar spatial patterns in FVC distribution across Maqin County， with higher values in the eastern and southern regions， and lower values in the northern and western regions. Notably， substantial differences were found in environmentally extreme regions， especially in areas with elevations exceeding 4800 m or FVC values below 0.2， where the RF model tended to predict higher values than the PD model. This study provides a methodological support for alpine grassland ecological restoration projects and regional fine-scale assessments.

Key words: Qinghai-Tibet Plateau, Vegetation indices, Pixel dichotomy model, Random forest, Binarization

摘要： 遥感多光谱指数常用于反演青藏高原草地植被覆盖度（Fractional vegetation cover，FVC），然而由于缺乏像元匹配的地面验证，不同遥感模型反演效果难以评估。本研究基于Sentinel-2多光谱数据和无人机近地面可见光影像，构建像元二分模型（Pixel dichotomy model， PD模型）和随机森林模型（Random forest model，RF模型）并反演黄河源地区玛沁县2023年区域FVC，比较两种模型的精度和区域差异。结果表明：PD模型和RF模型的拟合度分别为0.68和0.78，总体上RF模型精度优于PD模型。两种模型反演玛沁县FVC的整体空间格局一致，表现为东部和南部较高，而北部和西部较低。两种模型在极值区域反演差异较大，尤其在海拔高于4800 m或FVC低于0.2区域RF模型的估值高于PD模型。本研究能为高寒草地生态恢复项目及区域精细化评估提供方法学支撑。

关键词: 青藏高原, 植被指数, 像元二分模型, 随机森林, 二值化

CLC Number:

S812

XU Gan-jun, WU Sheng-yi, NIU Yue-chuan, YAN Wen-de, KANG Xiao-ming, ZHANG Xiao-dong. Assessing Vegetation Coverage of Alpine Grassland Based on Unmanned Aerial Vehicle and Sentinel-2 Data[J]. Acta Agrestia Sinica, 2025, 33(10): 3362-3371.

徐干君, 吴胜义, 牛阅川, 闫文德, 康晓明, 张骁栋. 基于无人机和Sentinel-2数据的高寒草地植被覆盖度评估[J]. 草地学报, 2025, 33(10): 3362-3371.

References

[1] SUN J， ZHANG Z C， DONG S K. Adaptive management of alpine grassland ecosystems over Tibetan Plateau [J].Pratacultural Science，2019，36（4）:933-938，915-916 孙建，张振超，董世魁 . 青藏高原高寒草地生态系统的适应性管理[J]. 草业科学，2019，36（4）:933-938，915-916
[2] SUN H L， ZHENG D， YAO T D， et al. Protection and construction of the national ecological security shelter zone on Tibetan Plateau [J]. Acta Geographica Sinica，2012，67（1）:3-12 孙鸿烈，郑度，姚檀栋，等 . 青藏高原国家生态安全屏障保护与建设[J]. 地理学报，2012，67（1）:3-12
[3] HE Y L， ZHOU H K， ZHAO X Q， et al. Alpine grassland ddegradation and its restoration on Qinghai-Tibet Plateau [J]. Prataculture Animal Husbandry，2008（11）:1-9 贺有龙，周华坤，赵新全，等 . 青藏高原高寒草地的退化及其恢复[J]. 草业与畜牧，2008（11）:1-9
[4] GAO L，WANG X F，JOHNSON B A，et al. Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values:a review[J]. ISPRS Journal of Photogrammetry and Remote Sensing，2020，159:364-377
[5] ZHAO J，LI J，LIU Q H，et al. Estimating fractional vegetation cover from leaf area index and clumping index based on the gap probability theory[J]. International Journal of Applied Earth Observation and Geoinformation，2020，90:102112
[6] XIAO Z Q，LIANG S L，SUN R，et al. Estimating the fraction of absorbed photosynthetically active radiation from the MODIS data based GLASS leaf area index product[J]. Remote Sensing of Environment，2015，171:105-117
[7] FUSTER B，SÁNCHEZ-ZAPERO J，CAMACHO F，et al. Quality assessment of PROBA-V LAI，fAPAR and fCOVER collection 300 m products of Copernicus global land service[J]. Remote Sensing，2020，12（6）:1017
[8] ZHAO J， LI J， ZHANG Z X， et al. A dataset of 16 m/10-day fractional vegetation cover of MuSyQ GF-series （2018–2020， China， Version 01） [J]. Science Data Bank，2022，7（1）:227-236 赵静，李静，张召星，等 . MuSyQ 高分 16 米空间分辨率 10 天合成的植被覆盖度产品（2018—2020 年中国 01 版）[J]. 中国科学数据，2022，7（1）:227-236
[9] ZHONG G R，CHEN J J，HUANG R J，et al. High spatial resolution fractional vegetation coverage inversion based on UAV and sentinel-2 data:a case study of alpine grassland[J]. Remote Sensing，2023，15（17）:4266
[10] HUANG R J，CHEN J J，FENG Z H，et al. Fitness for purpose of several fractional vegetation cover products on monitoring vegetation cover dynamic change—a case study of an alpine grassland ecosystem[J]. Remote Sensing，2023，15（5）:1312
[11] LIN X C，CHEN J J，LOU P Q，et al. Improving the estimation of alpine grassland fractional vegetation cover using optimized algorithms and multi-dimensional features[J]. Plant Methods，2021，17（1）:96
[12] ESWAR R，SEKHAR M，BHATTACHARYA B K. Disaggregation of LST over India:comparative analysis of different vegetation indices[J]. International Journal of Remote Sensing，2016，37（5）:1035-1054
[13] ZHAO B，YAN Y E，GUO H Q，et al. Monitoring rapid vegetation succession in estuarine wetland using time series MODIS-based indicators:an application in the Yangtze River Delta area[J]. Ecological Indicators，2009，9（2）:346-356
[14] LIANG S H，GE S M，WAN L，et al. Characteristics and causes of vegetation variation in the source regions of the Yellow River，China[J]. International Journal of Remote Sensing，2012，33（5）:1529-1542
[15] CHEN J J，ZHAO X N，ZHANG H Z，et al. Evaluation of the accuracy of the field quadrat survey of alpine grassland fractional vegetation cover based on the satellite remote sensing pixel scale[J]. ISPRS International Journal of Geo-Information，2019，8（11）:497
[16] YIN L J， ZHOU Z F， LI S H， et al. Research on vegetation extraction and fractional vegetation cover of karst area based on visible light image of UAV [J]. Acta Agrestia Sinica，2020，28（6）:1664-1672 尹林江，周忠发，李韶慧，等 . 基于无人机可见光影像对喀斯特地区植被信息提取与覆盖度研究[J]. 草地学报，2020，28（6）:1664-1672
[17] CAI Z L， MIAO Z H， CHANG X， et al. Research on grassland fractional vegetation coverage inversion method based on drone large quadrat data and domestic satellite [J]. Acta Agrestia Sinica，，2019，27（5）:1431-1440 蔡宗磊，苗正红，常雪，等. 基于无人机大样方数据及国产卫星反演草地植被覆盖度方法研究[J]. 草地学报，2019，27（5）:1431-1440
[18] MINISTRY OF NATURAL RESOURCES OF THE PEOPLE'S REPUBLIC OF CHINA. National land survey results sharing and application service platform[EB/OL]. https://gtdc.mnr.gov.cn/Share#/， 2019-12-31/2024-10-28 中华人民共和国自然资源部 . 国土调查成果共享应用服务平台[EB/OL]. https://gtdc. mnr. gov. cn/Share#/，2019-12-31/2024-10-28
[19] JIA S， ZHAO J， ZHOU H. Variation trend of temperature and precipitation and correlation analysis in Maqin County during 1995—2004[J]. Journal of Anhui Agricultural Sciences，2011，39（18）:10960-10961，11037 贾顺斌，赵建中，周华坤 . 1995—2004 年玛沁县气温与降水的变化趋势及相关性分析[J]. 安徽农业科学，2011，39（18）:10960-10961，11037
[20] HAN Y L， CHEN K L， WANG S P. Study on Carbon stack of alpine grassland in the source regions of the Yellow River-In case of Guoluo Tibetan Autonomous Prefecture in Qinghai Province [J]. Territory Natural Resources Study，2010（5）:93-94 韩艳莉，陈克龙，汪诗平. 黄河源区高寒草地植被碳储量研究——以果洛藏族自治州为例[J]. 国土与自然资源研究，2010（5）:93-94
[21] WEI Y Q. The boundaries of the source regions in Sanjiangyuan region （2018） [DB/OL]. National Tibetan Plateau / Third Pole Environment Data Center， https://cstr.cn/18406.11.Geogra.tpdc.270009， 2021-05-18/2025-01-11 魏彦强. 三江源区范围数据集（2018）[DB/OL]. 国家青藏高原科学数据中心，https://cstr. cn/18406. 11. Geogra.tpdc. 270009，2021-05-18/2025-01-11
[22] WOEBBECKE D M，MEYER G E，VON BARGEN K，et al. Color indices for weed identification under various soil，residue，and lighting conditions[J]. Transactions of the ASAE，1995，38（1）:259-269
[23] Python Software Foundation. Python 3.11.0 Documentation[CP/OL]. https://www.python.org， 2022-10-24/2024-10-26
[24] team OpenCV. OpenCV: Open Source Computer Vision Library[EB/OL]. https://opencv.org/， 2019-01-28/2024-10-28
[25] ROUSE J W，HAAS R H，SCHELL J A，et al. Monitoring vegetation systems in the great Plains with ERTS[C]//NASA. Goddard Space Flight Center 3d ERTS-1 Symp.，Vol.1，Sect.A. Greenbelt，Maryland，USA:NASA，1974:PAPER-A20
[26] HUETE A，DIDAN K，MIURA T，et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices[J]. Remote Sensing of Environment，2002，83（1/2）:195-213
[27] HUETE A R. A soil-adjusted vegetation index （SAVI）[J]. Remote Sensing of Environment，1988，25（3）:295-309
[28] QI J，CHEHBOUNI A，HUETE A R，et al. A modified soil adjusted vegetation index[J]. Remote Sensing of Environment，1994，48（2）:119-126
[29] BIRTH G S，MCVEY G R. Measuring the color of growing turf with a reflectance Spectrophotometer[J]. Agronomy Journal，1968，60（6）:640-643
[30] JORDAN C F. Derivation of leaf-area index from quality of light on the forest floor[J]. Ecology，1969，50（4）:663-666
[31] XU H. A new index for delineating built-up land features in satellite imagery[J]. International Journal of Remote Sensing，2008，29（14）:4269-4276
[32] CHANDRASEKAR K，SESHA SAI M V R，ROY P S，et al. Land Surface Water Index （LSWI） response to rainfall and NDVI using the MODIS Vegetation Index product[J]. International Journal of Remote Sensing，2010，31（15）:3987-4005
[33] GAO B C. NDWI-a normalized difference water index for remote sensing of vegetation liquid water from space[J]. Remote Sensing of Environment，1996，58（3）:257-266
[34] ZHA Y， NI S， YANG S X. An effective approach to automatically extract urban land-use from TM imagery [J]. National Remote Sensing Bulletin，2003，7（1）:37-40 查勇，倪绍祥，杨山. 一种利用 TM 图像自动提取城镇用地信息的有效方法[J]. 遥感学报，2003，7（1）:37-40
[35] LI F，CHEN W，ZENG Y，et al. Improving estimates of grassland fractional vegetation cover based on a pixel dichotomy model:a case study in Inner Mongolia，China[J]. Remote Sensing，2014，6（6）:4705-4722
[36] LIAW A，WIENER M. Classification and regression by randomForest[J]. R news，2002，2（3）:18-22
[37] CORE TEAM R. R: a language and environment for statistical computing[M].Vienna:R Foundation for Statistical Computing，2023:7-8
[38] ARCHER E. rfPermute: Estimate permutation p-Values for random forest importance metrics[EB/OL]. https://CRAN.R-project.org/package=rfPermute， 2023-08-23/2024-10-23
[39] CHEN J J，HUANG R J，YANG Y P，et al. Multi-scale validation and uncertainty analysis of GEOV3 and MuSyQ FVC products:a case study of an alpine grassland ecosystem[J]. Remote Sensing，2022，14（22）:5800
[40] XU S， SHEN R P， YANG X Y. A comparative study of different vegetation indices for estimating vegetation coverage based on the dimidiate pixel model [J]. Remote Sensing for Land Resources，2012，24（4）:95-100 徐爽，沈润平，杨晓月. 利用不同植被指数估算植被覆盖度的比较研究[J]. 国土资源遥感，2012，24（4）:95-100
[41] WU B， ZENG Y， ZHAO D， et al. Remote sensing monitoring methods and variation patterns of ecological parameters in China[M]. Beijing: Science Press，2019 吴炳方，曾源，赵旦，等 . 中国生态参数遥感监测方法及其变化格局[M]. 北京:科学出版社，2019
[42] YUE Y F， CHEN G P， WANG L， et al. Analyses of Vegetation Coverage Changes in Zhouqu County from 1998 to 2019 Based on GEE Platform [J]. Acta Agrestia Sinica，2022，30（6）:1534-1542 岳奕帆，陈国鹏，王立，等 . 基于 GEE 平台的舟曲县 1998—2019年植被覆盖变化分析[J]. 草地学报，2022，30（6）:1534-1542
[43] MA C L， JI T， HE G X， et al. Study on the Spatial and Temporal Variation of Vegetation Coverage and Topographic Differentiation in Min County from 2000 to 2020 [J]. Acta Agrestia Sinica，2024，32（11）:3567-3578 马成龙，纪童，何国兴，等 . 2000—2020 年岷县植被覆盖度时空变化及地形分异研究[J]. 草地学报，2024，32（11）:3567-3578
[44] RAUTIAINEN M，KUUSINEN N，MAJASALMI T. Remote sensing and spectroscopy of lichens[J]. Ecology and Evolution，2024，14（3）:e11110
[45] BLANCO-SACRISTÁN J，PANIGADA C，GENTILI R，et al. UAV RGB，thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust[J]. Earth Surface Processes and Landforms，2021，46（12）:2466-2484
[46] RODRÍGUEZ-CABALLERO E，ESCRIBANO P，OLEHOWSKI C，et al. Transferability of multi- and hyperspectral optical biocrust indices[J]. ISPRS Journal of Photogrammetry and Remote Sensing，2017，126:94-107
[47] HARRIS I，OSBORN T J，JONES P，et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset[J]. Scientific Data，2020，7（1）:109
[48] DOLEZAL J，JANDOVA V，MACEK M，et al. Climate warming drives Himalayan alpine plant growth and recruitment dynamics[J]. Journal of Ecology，2021，109（1）:179-190
[49] ZOU L Q，TIAN F，LIANG T C，et al. Assessing the upper elevational limits of vegetation growth in global high-mountains[J]. Remote Sensing of Environment，2023，286:113423
[50] TANG M Z，LI L，WANG X L，et al. Elevational is the main factor controlling the soil microbial community structure in alpine tundra of the Changbai Mountain[J]. Scientific Reports，2020，10（1）:12442
[51] CHENG J Y， ZHANG X F， SUN M， et al. Random forest model for the estimation of fractional vegetation coverage based on a UAV-ground co-sampling strategy [J]. Acta Scientiarum Naturalium Universitatis Pekinensis，2020，56（1）:143-154 程俊毅，张显峰，孙敏，等 . 基于空地协同采样的植被覆盖度随机森林估算方法[J]. 北京大学学报（自然科学版），2020，56（1）:143-154
[52] DONG S K， ZHANG Y H， WANG G C. Assessment of grassland health and degradation: concepts， principles， and methods [J]. Pratacultural Science，2023，40（12）:2971-2981 董世魁，张宇豪，王冠聪 . 草地健康与退化评价:概念、原理及方法[J]. 草业科学，2023，40（12）:2971-2981

Assessing Vegetation Coverage of Alpine Grassland Based on Unmanned Aerial Vehicle and Sentinel-2 Data

基于无人机和Sentinel-2数据的高寒草地植被覆盖度评估

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	DOU Quan-hui, CHEN Cheng-hao, ZENGTAI Yi-hei, LONGZHU Duo-jie, MIAO Qi, SUN Fang-hui, CAIRANG La-mao, CHEN Xi, SUONAN Ji. Evaluation of Habitat Suitability of Important Medicinal Plants Gentianaceae in the Qinghai-Tibet Plateau Based on the Optimized Maximum Entropy Model [J]. Acta Agrestia Sinica, 2025, 33(9): 3024-3033.
[2]	LI Wen-xiong, JIN Gui-li, LIU Wen-hao, LI Jia-xin, WANG Sheng-ju, CHEN Meng-tian, LI Chao, DU Wen-lin, Davuletti Khaled Samugal, Serik Eli Yeridana. Research on Aboveground Biomass Inversion of Desert Grassland Based on UAV Remote Sensing [J]. Acta Agrestia Sinica, 2025, 33(4): 1258-1266.
[3]	WANG Ze-yue, WANG Wen-ying, XIONG You-cai, CHEN Xiao-yue, WANG Yu-xing, MA Yan-mei, YANG Fang-kun. Effects of Simulated Warming on Soil Carbon and Nitrogen Components Under Different Altitude Gradients in Qilian [J]. Acta Agrestia Sinica, 2025, 33(10): 3318-3329.
[4]	REN Zhi-hui, YU Qiao, GAO Shi-kong, WANG Jia-ju, NIU De-peng, LIU Mei-li, HU Tian-ming, FU Juan-juan. Screening and Promoting Effects of Plant Growth-Promoting Bacteria from Rhizosphere of Campeiostachys nutans Griseb. [J]. Acta Agrestia Sinica, 2024, 32(6): 1693-1701.
[5]	ZHANG Xiao-yu, ZHANG Ding-hai, NING Ting, MA Yu-jing. Study on the Relationship Between Soil Moisture,Topography and Vegetation in the Gurbantunggut Desert [J]. Acta Agrestia Sinica, 2024, 32(5): 1548-1557.
[6]	ZHANG Ni, CHEN Ke-long, WANG Xin-ye, LI Lin, WANG Shi-ting. Dynamic Response of the cbbM Carbon Sequestration Microbial Community to Simulated Warming Conditions in the Marsh Wetland of Qinghai Lake [J]. Acta Agrestia Sinica, 2024, 32(12): 3752-3763.
[7]	HU Wei, LIU Wen-hui, LIU Kai-qiang, WU Yu-han. Evaluation of Soil Quality and Establishment of Bio-indicators Based on Minimal Data Set [J]. Acta Agrestia Sinica, 2024, 32(12): 3855-3867.
[8]	XIAO Qiang-zhi, XU Wei-xin, DAI Na, WANG Qi-yu, LI Quan-ping, DUAN Xu-hui, LIANG Hao. The Temporal Pattern of Leaf Area Index in Withered Procedure and its Estimation in Winter in Qinghai-Tibet Plateau [J]. Acta Agrestia Sinica, 2023, 31(8): 2436-2445.
[9]	CHEN Zhe, JIN Yan-xia, SUN Jian, SHAO Xin-qing, WANG Ying-dian, ZHAO Xin-quan, WANG Wen-ying, XIE Hui-chun, ZHANG Zhen-hua, ZHANG Li, DU Yan-gong, ZHOU Hua-kun. A Review on the Impact of Global Warming to Greenhouse Gas Flux in Frozen Ground Region [J]. Acta Agrestia Sinica, 2023, 31(4): 929-942.
[10]	REN Chun-yan, LIU Wen-hui, LIANG Guo-ling, ZHANG Yong-chao, LI Wen, YU Hui, HU Wei, WANG Feng-yu. Differences of Seed Shattering and Agronomic Traits in Six Elymus Species on the Qinghai-Tibet Plateau [J]. Acta Agrestia Sinica, 2023, 31(4): 1008-1015.
[11]	YANG Wen-dan, ZHAO Qiu-mei, ZHAI Tai-ya, HE Yan, MAO Tian-xu, ZHANG Tao. Effects of Hydrothermal Changes on Soil Greenhouse Gas Emissions from Alpine Swamp Meadow in the Permafrost Region [J]. Acta Agrestia Sinica, 2023, 31(11): 3423-3435.
[12]	CHEN Zhe, XU Wei, MEN Shuang, ZHANG Zhen-hua, ZHANG Zhong-hua, WANG Ying-dian, ZHAO Xin-quan, WANG Wen-ying, SUN Jian, SHAO Xin-qing, DU Yan-gong, ZHOU Hua-kun. Response of Soil Nitrogen Pools to A Simulated Freeze-Thaw Test in the Active Layer of Segregated Permafrost on the Qilian Mountains [J]. Acta Agrestia Sinica, 2023, 31(1): 19-28.
[13]	LIU Chang-yu, XIE Bao-peng, YANG Jie, CHEN Ying, PEI Ting-ting. Spatial and Temporal Patterns of Vegetation Evapotranspiration under Different Degradation Gradients in the Qinghai-Tibet Plateau [J]. Acta Agrestia Sinica, 2023, 31(1): 252-262.
[14]	FEI Xuan, SUO Cai-xu, XIANG Shuang, SUN Shu-cun. Responses of Plant Community Structure and Functional Group Characteristics to Long-term Seasonal Grazing in an Alpine Meadow on Eastern Qinghai-Tibet Plateau [J]. Acta Agrestia Sinica, 2022, 30(8): 1954-1963.
[15]	MA Kai-kai, XU Chang-lin, LI Ying, WEI Kong-tao, BAI Mei-mei, LIU Yuan-yuan, YU Xiao-jun. Effects of Different Rest Grazing Periods on Soil Seed Bank in Cold Season Pasture of Alpine Meadow [J]. Acta Agrestia Sinica, 2022, 30(8): 2100-2107.