The aboveground biomass of desert steppe and its spatiotemporal variation in western Inner Mongolia

被引:3
|
作者
Tian Gao [1 ]
Bin Xu [1 ]
XiuChun Yang [1 ]
YunXiang Jin [1 ]
HaiLong Ma [1 ]
JinYa Li [1 ]
HaiDa Yu [1 ]
机构
[1] Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
基金
中国国家自然科学基金;
关键词
Inner Mongolia; desert steppe; normalized difference vegetation index (NDVI); aboveground biomass; climate factors;
D O I
暂无
中图分类号
S812 [草地学、草原学];
学科分类号
090503 ; 0909 ;
摘要
A precise understanding of the aboveground biomass of desert steppe and its spatio-temporal variation is important to understand how arid ecosystems respond to climate change and to ensure that scarce grassland resources are used rationally. On the basis of 756 ground survey quadrats sampled in western Inner Mongolia steppe in 2005-2011 and remote sensing data from the Moderate Resolution Imaging Spectroradiometer (MODIS)-the normalized difference vegetation index (NDVI) dataset for the period of 2001-2011-we developed a statistical model to estimate the aboveground biomass of the desert steppe and further explored the relationships between aboveground biomass and climate factors. The conclusions are as follows: (1) the aboveground biomass of the steppe in the research area was 5.27 Tg (1 Tg=1012 g) on average over 11 years; between 2001 and 2011, the aboveground biomass of the western Inner Mongolia steppe exhibited fluctuations, with no significant trend over time; (2) the aboveground biomass of the steppe in the research area exhibits distinct spatial variation and generally decreases gradually from southeast to northwest; and (3) the important factor causing interannual variations in aboveground biomass is precipitation during the period from January to July, but we did not find a significant relationship between the aboveground biomass and the corresponding temperature changes. The precipitation in this period is also an important factor influencing the spatial distribution of aboveground biomass (R2 =0.39, P<0.001), while the temperature might be a minor factor (R2 =0.12, P<0.01). The uncertainties in our estimate are primarily due to uncertainty in converting the fresh grass yield estimates to dry weight, underestimates of the biomass of shrubs, and error in remote sensing dataset.
引用
收藏
页码:339 / 346
页数:8
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