Analysis of Landscape Pattern and Ecological Sensitivity of Yarlung Zangbo Grand Canyon Based on GIS

被引:0
|
作者
Li J. [1 ,2 ]
Lu J. [1 ,2 ]
Zheng W. [1 ,2 ]
Chen J. [1 ,2 ]
Yang W. [3 ]
Niu T. [1 ,4 ]
机构
[1] Institute of Tibet Plateau Ecology, Tibet Agriculture and Animal Husbandry University, Nyingchi
[2] Key Laboratory of Forest Ecology in Tibet Plateau, Ministry of Education, Nyingchi
[3] College of Resources and Environment, Tibet Agriculture and Animal Husbandry College, Nyingchi
[4] College of Forestry, Beijing Forestry University, Beijing
来源
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2021年 / 52卷 / 06期
关键词
Ecological sensitivity; Landscape pattern; Landscape pattern index; Object-oriented classification; Yarlung Zangbo grand canyon;
D O I
10.6041/j.issn.1000-1298.2021.06.020
中图分类号
学科分类号
摘要
Due to human over-exploitation and utilization in recent years, the landscape types of Tibet's alpine mountains have been severely damaged. The landscape pattern index can effectively evaluate the evolution of landscape types on the time scale. Therefore, an object-oriented classification method was used to determine landscape types, and the diversity index, dominance index, uniformity index and aggregation index were selected as indicators to evaluate and analyze the ecological sensitivity of the study area. The grand canyon was selected as the study area, and the object-oriented classification method was used to algorithmically classify the Tibetan artificial disturbance zone. Finally, a total of 1 761 patches of ten types of landscapes were obtained, of which the woodland landscape and grassland landscape with the largest areas, respectively were 48.84% and 22.68%, and the proportion of snow/glacier landscape was 17.39%. From the landscape index, the landscape diversity index in the study area was 1.374, the dominance index 0.982, the evenness index 0.597, and the polymerization index 97.374. The grand canyon research area had high diversity, the single landscape had a relatively low dominance, and the distribution of different landscape spaces was better. In general, the landscape in this area was dominated by virgin forests, alpine meadows and glaciers, with less disturbance of human activities, and was mainly concentrated in the conversion of farmland and grasslands in the valley. Based on the weighted analysis of the ecological sensitivity of the grand canyon study area, the six types of impact factors were combined. The ecological sensitivity was mainly concentrated in moderate and highly sensitive areas, with a total of 95.71%. Moderately sensitive areas were concentrated in low-altitude and low-slope areas around river valleys, and the land was mainly waters, grasslands and shrubs. Highly sensitive areas were concentrated in high-altitude areas of the mountains, with steep slopes. The landscape was dominated by woodland landscapes and glaciers/ice landscapes. © 2021, Chinese Society of Agricultural Machinery. All right reserved.
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页码:195 / 203and222
相关论文
共 29 条
  • [1] WANG Wei, Temporal and spatial variation of carbon source carbon sinks in Tibet grassland ecosystem and its relationship with climate factors, (2019)
  • [2] ZHAO Jinpeng, Study on the variation characteristics of extreme climate events on the Qinghai-Tibet plateau during 1961-2016, (2019)
  • [3] NIU Zepeng, WANG Xiaofeng, LUO Guangxiang, Et al., Ecological function zoning of Tibet based on SOFM at watershed scale, Bulletin of Soil and Water Conservation, 40, 4, pp. 116-123, (2020)
  • [4] ZHAO Wanglin, LUO Tianxiang, ZHANG Lin, Relative impact of climate change and grazing on NDVI variations in typical alpine desert grasslands in Tibet, Acta Ecologica Sinica, 39, 22, pp. 8494-8503, (2019)
  • [5] YAO Jituo, CHEN Yang, XIAO Jiujun, Et al., Present situation and analysis of forest landscape pattern in Libo, Guizhou, Guizhou Science, 38, 3, pp. 42-46, (2020)
  • [6] DONG Yawen, SHE Jiyun, CHEN Dongyang, Et al., Landscape vulnerability analysis of Sanya City based on the landscape pattern and ecological sensibility, Journal of Southwest Forestry Uniwersity, 36, 4, pp. 103-108, (2016)
  • [7] WANG Yong, LIU Chunling, HE Peng, Et al., Landscape pattern analysis based on GIS and landscape index in Huanghua City, Journal of Anhui Agri. Sci, 45, 16, pp. 63-67, (2017)
  • [8] ZHAO Xingshuang, Assessment of the ecological environment in Tibet based on GIS & RS, (2018)
  • [9] LEILA R, ALI A M, NASER D, Et al., Soil quality indices of paddy soils in Guilan Province of northern Iran: spatial variability and their influential parameters, Ecological Indicators, 117, (2020)
  • [10] THOMAS F, PAUL M., A high-resolution suitability index for solar farm location in complex landscapes, Renewable Energy, 158, pp. 520-533, (2020)