Identifying the Driving Forces of Alpine Wetland Dynamic Changes in the Yellow River Source National Park from 2000 to 2020

被引:2
|
作者
Ma, Tao [1 ]
Zhao, Li [2 ]
She, Yandi [1 ]
Hu, Bixia [1 ,3 ]
Feng, Xueke [1 ]
Gongbao, Jiancuo [4 ]
Zhang, Wei [4 ]
Zhao, Zhizhong [1 ,3 ]
机构
[1] Qinghai Univ, Coll Agr & Anim Husb, Xining 810016, Peoples R China
[2] China Water Resources Pearl River Planning Surveyi, Guangzhou 510630, Peoples R China
[3] Xining Univ, Xining 810016, Peoples R China
[4] Qinghai Youyuan Space Informat Technol Co Ltd, Xining 810016, Peoples R China
关键词
alpine wetland; driving forces; random forest; the Yellow River Source National Park; soil moisture; SUPPORT VECTOR MACHINE; CLIMATE-CHANGE; RANDOM FOREST; SPATIOTEMPORAL CHANGE; CHINA; EVAPOTRANSPIRATION; CLASSIFICATION; TEMPERATURE; MIGRATION; ACCURACY;
D O I
10.3390/w15142557
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Yellow River Source National Park (YRSNP), one of largest alpine wetlands in China which serves as the origin of the Yellow River, is situated in the heart of the Qinghai-Tibetan Plateau. The alpine wetland ecosystem, which is its primary ecological system, is crucial for maintaining ecological balance, preserving biodiversity, and facilitating the sustainable development of the Yellow River Basin. In this study, based on the Google Earth Engine (GEE) platform combined with Landsat 5 7 8 remote sensing images, we used a random forest classification model to identify and classify the alpine wetland from 2000 to 2020 and analyze its pattern of dynamic changes. The main driving forces that drive the change of the alpine wetland area in the YRSNP from 2000 to 2020 are identified using a random forest regression analysis in combination with data on precipitation, temperature, potential evapotranspiration, soil moisture, and population density. The results show that: (1) From 2000 to 2020, the average overall accuracy of remote sensing classification and extraction of the YRSNP alpine wetlands is 0.8492 and the Kappa coefficient is 0.8051. (2) From 2000 to 2020, the shrinking trend of the YRSNP alpine wetland area is restrained. However, the lake wetland, marsh wetland, and marsh meadow all increase by 0.58%, 0.06%, and 3.34%, respectively, whereas the river wetland shows a declining trend. (3) The results of the identification of driving forces indicate that soil moisture is the main factor influencing the dynamic changes of the alpine wetland, although the decline in population density has a favorable impact on the alpine wetland. The results can provide scientific basis for maintaining the stability, diversity, and sustainability of the alpine wetland ecosystem in the Yellow River Source National Park.
引用
收藏
页数:25
相关论文
共 37 条
  • [21] Dynamic Changes in the Wetland Landscape Pattern of the Yellow River Delta from 1976 to 2016 Based on Satellite Data
    Cong Pifu
    Chen Kexin
    Qu Limei
    Han Jianbo
    CHINESE GEOGRAPHICAL SCIENCE, 2019, 29 (03) : 372 - 381
  • [22] Dynamic Changes in the Wetland Landscape Pattern of the Yellow River Delta from 1976 to 2016 Based on Satellite Data
    CONG Pifu
    CHEN Kexin
    QU Limei
    HAN Jianbo
    Chinese Geographical Science, 2019, 29 (03) : 372 - 381
  • [23] Spatio-temporal variation of biodiversity maintenance function and its driving factors in the Yellow River Basin from 2000 to 2020
    Li, Jing
    Li, Shuai
    Zhang, Ying
    Pang, Jia-Cheng
    Zhongguo Huanjing Kexue/China Environmental Science, 2023, 43 (09): : 4780 - 4790
  • [24] EVOLUTION AND INFLUENCING FACTORS OF WATER YIELD AND WATER CONSERVATION SERVICES IN THE YELLOW RIVER SOURCE AREA FROM 2000 TO 2020
    Yang, Y. H.
    Zhang, X. Y.
    Chen, J.
    Qin, T. L.
    Xu, S.
    Lu, J.
    Liu, H. X.
    Gao, H. Y.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2023, 21 (05): : 4195 - 4212
  • [25] Study on Changes and Driving Forces of the Ecological Assets in Urban Areas in the Upper Reaches of the Yangtze River from 2000 to 2016
    Feng, Chengyu
    Zhang, Jianqiang
    JOURNAL OF COASTAL RESEARCH, 2020, : 485 - 488
  • [26] Driving forces of changes in China's wetland area from the first (1999-2001) to second (2009-2011) National Inventory of Wetland Resources
    Bian, Hualin
    Li, Wei
    Li, Youzhi
    Ren, Bo
    Niu, Yandong
    Zeng, Zhangquan
    GLOBAL ECOLOGY AND CONSERVATION, 2020, 21
  • [27] Land-Use Carbon Emissions in the Yellow River Basin from 2000 to 2020: Spatio-Temporal Patterns and Driving Mechanisms
    Tian, Mingjie
    Chen, Zhun
    Wang, Wei
    Chen, Taizheng
    Cui, Haiying
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (24)
  • [28] Dynamic Changes in the Wetland Landscape Pattern of the Yellow River Delta from 1976 to 2016 Based on Satellite Data附视频
    CONG Pifu
    CHEN Kexin
    QU Limei
    HAN Jianbo
    Chinese Geographical Science, 2019, (03) : 372 - 381
  • [29] Dynamic changes and driving factors of rural settlements at the county level in a rapidly urbanizing province of China from 2000 to 2020
    Xu, Yan
    Zhang, Runsen
    Wu, Wenchao
    Xu, Chen
    Yu, Cheng
    Chen, Dechao
    Liu, Yumei
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
  • [30] Monitoring Spatial-Temporal Variability of Vegetation Coverage and Its Influencing Factors in the Yellow River Source Region from 2000 to 2020
    Wang, Boyang
    Si, Jianhua
    Jia, Bing
    He, Xiaohui
    Zhou, Dongmeng
    Zhu, Xinglin
    Liu, Zijin
    Ndayambaza, Boniface
    Bai, Xue
    REMOTE SENSING, 2024, 16 (24)