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Remote Sensing for Land & Resources    2020, Vol. 32 Issue (1) : 200-208     DOI: 10.6046/gtzyyg.2020.01.27
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Temporal and spatial variation of evapotranspiration and grassland vegetation cover in Duolun County, Inner Mongolia
Yuqi CHENG1, Yuqing WANG1, Jingping SUN2, Chengfu ZHANG1()
1. College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010011, China
2. Inner Mongolia Environmental Monitoring Center Station, Hohhot 010010, China
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Abstract  

Studying the changes of evapotranspiration of degraded grassland in Inner Mongolia is conducive to understanding the water cycle of the degraded grassland ecosystem in this region and provides an important basis for the rational use of grassland water resources in this region. In this study, Duolun County in Inner Mongolia was taken as the research object. MODIS data during the flourishing period from 2001 to 2017 were used to invert the spatial distribution and variation of vegetation coverage and daily evapotranspiration in this region for nearly 17 years, and the effects of land use and grassland degradation on evapotranspiration were analyzed. Some conclusions have been reached: ① The order of vegetation coverage of different land use types is forest land >farmland>residential construction land>grassland>unused land>water area; the order of daily evapotranspiration of different land use types is water area>forest land>farmland >residential construction land>grassland>unused land. ② From 2001 to 2017, the grassland types in Duolun County are mainly of the III and IV grades; the area of low-grade grassland has a downward trend, while the area of high-quality grassland has an upward trend, which indicates that the protective measures for grassland in this area achieved certain results. ③ During 2001-2017, there was no obvious change trend in the daily evapotranspiration of all grassland grades; except for a few years, vegetation coverage and daily evapotranspiration showed consistent interannual fluctuations. ④ According to the spatial and temporal distribution pattern of vegetation coverage and daily evapotranspiration, it is concluded that there is a positive correlation between vegetation coverage and daily evapotranspiration.
Keywords MODIS      grassland grade      vegetation coverage      SEBEL model      daily evapotranspiration     
:  TP79  
Corresponding Authors: Chengfu ZHANG     E-mail: 2651534893@qq.com
Issue Date: 14 March 2020
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Yuqi CHENG
Yuqing WANG
Jingping SUN
Chengfu ZHANG
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Yuqi CHENG,Yuqing WANG,Jingping SUN, et al. Temporal and spatial variation of evapotranspiration and grassland vegetation cover in Duolun County, Inner Mongolia[J]. Remote Sensing for Land & Resources, 2020, 32(1): 200-208.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.01.27     OR     https://www.gtzyyg.com/EN/Y2020/V32/I1/200
Fig.1  Geographical location and general situation of the study area
Fig.2  Land use types and area ratio of land use types in the study area
草地
等级		 草地等级划分方法
Ⅰ 草地植被覆盖度达到草地最优植被覆盖度的20%以下
Ⅱ 草地植被覆盖度达到草地最优植被覆盖度的20%~40%之间
Ⅲ 草地植被覆盖度达到草地最优植被覆盖度的40%~60%之间
Ⅳ 草地植被覆盖度达到草地最优植被覆盖度的60%~80%之间
Ⅴ 草地植被覆盖度达到草地最优植被覆盖度的80%以上
Tab.1  Classification of grassland classification in the study area from 2001 to 2017
Fig.3  Spatial distribution of vegetation coverage and average daily evapotranspiration in the study area from 2001 to 2017
Fig.4  Changes in average vegetation coverage and average daily evapotranspiration of different land use types in the study area from 2001 to 2017
Fig.5  Spatial distribution of grasslands in different grades and area ratio of grasslands in the research area from 2001 to 2017
Fig.6  Change trend of grassland area of different grades in the research area from 2001 to 2017
Fig.7  Spatial distribution of daily evapotranspiration of grassland in the study area from 2001 to 2017 and changes of daily evapotranspiration of grasslands of different grades
Fig.8  Trend of daily evapotranspiration of different grades of grassland in the study area from 2001 to 2017
Fig.9  Interannual dynamics of vegetation coverage and daily evapotranspiration in the study area from 2001 to 2017
Fig.10  Changes in august precipitation and precipitation days in the research area from 2001 to 2017
Fig.11  Relationship between vegetation coverage and daily evapotranspiration in the study area from 2001 to 2017
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