Title :
Aboveground biomass and their changes in the eastern Inner Mongolia grasslands during 2001–2011
Author :
Gao, T. ; Xu, B. ; Yang, X.C. ; Jin, Y.X. ; Ma, H.L. ; Li, J.Y. ; Yu, H.D. ; Yu, Q.Y.
Author_Institution :
Key Lab. of Agri-Inf. of the Minist. of Agric., China Acad. of Agric. Sci., Beijing, China
Abstract :
In this study, we evaluated the precision of different regression models correlating grasslands aboveground biomass (AGB) and its corresponding vegetable index (VI). We further identified changes in the size and distribution of AGB and explored the relationships between interannual AGB pattern and climatic factors in the eastern Inner Mongolia grasslands by integrating AGB data collected from 520 sites and vegetation index (VI) derived from MODIS data sets during 2001-2011. Our results are summarized as follows: (1) the exponential model of mean NDVI in peak season for estimation AGB showed the highest precise. (2) During 2001~2011, grassland AGB averaged 18.78Tg (1Tg=1012g) over a total area of 16.3×104 km2, showing a slight decrease trend in the study area (R2=0.15, p=0.22). The higher AGB density appeared north and northeast (>;200 g/m2), and the lower AGB density appeared south and west (<;200g/m2). (3) Interannual AGB variation was coupled well with interannual precipitation pattern, and the relationship between AGB and precipitation is positive (R2=0.28, p=0.10). However, we did not find a robust relationship between AGB and the same temporary temperature (R2=0.009, p=0.79). It suggested that the interannual AGB variation was mainly derived by precipitation fluctuation (January-July), and the temperature changes at the corresponding time might be a minor factor.
Keywords :
atmospheric precipitation; atmospheric temperature; radiometry; vegetation; AD 2001 to 2011; AGB data; AGB density; MODIS data sets; aboveground biomass; eastern Inner Mongolia grasslands; interannual AGB pattern; interannual AGB variation; interannual precipitation pattern; mean NDVI; precipitation fluctuation; regression models; temporary temperature; vegetable index; Biological system modeling; Biomass; Estimation; Indexes; MODIS; Temperature; Vegetation mapping; MODIS; aboveground biomass; climatic factors; grasslands; vegetation index;
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2495-3
Electronic_ISBN :
978-1-4673-2494-6
DOI :
10.1109/Agro-Geoinformatics.2012.6311672