[1]BIAN Lijiao,LI Jingji,XU Binni,et al.Differentiation of Vegetation Changes in the South and North Slopes of Mount QNNP Under Climate Change[J].Research of Soil and Water Conservation,2023,30(01):164-172,182.[doi:10.13869/j.cnki.rswc.2023.01.009]
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Differentiation of Vegetation Changes in the South and North Slopes of Mount QNNP Under Climate Change
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
30
Number of periods:
2023 01
Page number:
164-172,182
Column:
Public date:
2023-01-10
- Title:
- Differentiation of Vegetation Changes in the South and North Slopes of Mount QNNP Under Climate Change
- CLC:
- X87
- DOI:
- 10.13869/j.cnki.rswc.2023.01.009
- Abstract:
- The distribution of vegetation in the Mount Qomolangma National Nature Preserve region(Hereinafter referred to as QNNP)differs in the southern and northern slope areas. Survey data, MODIS normalized difference vegetation index(NDVI)data, and climate data were used to study the difference of vegetation changes and their responses to climate change in the south and north slopes of the QNNP region from 2000 to 2018, as well as predict future changes in vegetation. The results are as follows.(1)In general, NDVI decreased from 2000 to 2009 and increased from 2009 to 2018, and the correlation between NDVI and temperature was stronger than that of precipitation during the year.(2)In the southern slope area, tall trees such as Abies spectabilis were common; NDVI was greater than 0.6 and showed little spatial variation. In the northern slope area, shrubs and grasses such as Artemisia younghusbandii were common; NDVI ranged from 0.1 to 0.4 and showed high spatial variation. In the southern slope area, NDVI slightly increased from 2000 to 2018.(3)By contrast, NDVI decreased from 2000 to 2009 and increased from 2009 to 2018 in the northern slope area. Hurst exponent calculations predicted future fluctuations in vegetation in the study area, and vegetation status might change from good to poor level in most regions.(4)The correlation between NDVI and climatic factors was weak in the southern slope area, while the NDVI in the northern slope area was negatively correlated with temperature and positively correlated with precipitation. Dingri and Dingjie counties on the north slope are more sensitive to human activities. Generally, the results of this study can provide new insights that can be used to aid local sustainable development and improve the ecological environment in the QNNP.
- References:
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Last Update:
2023-01-10