EN中文

Journal of Resources and Ecology >

2017 , Vol. 8 >Issue 1: 42 - 49

DOI: https://doi.org/10.5814/j.issn.1674-764x.2017.01.006

Articles

Modeling Aboveground Biomass Using MODIS Images and Climatic Data in Grasslands on the Tibetan Plateau

Expand
  • 1. Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. School of geography, Beijing Normal University, Beijing 100875, China

Received date: 2016-10-24

  Online published: 2017-01-20

Supported by

National Natural Science Foundation of China (31600432), National Key Research Projects of China (2016YFC0502005; 2016YFC0502006), Chinese Academy of Science Western Light Talents Program (Response of livestock carrying capability to climatic change and grazing in the alpine meadow of Northern Tibetan Plateau), Science and Technology Plan Projects of Tibet Autonomous Region (Forage Grass Industry) and National Science and Technology Plan Project of China (2013BAC04B01, 2011BAC09B03, 2007BAC06B01).

Fold

Abstract

Accurate quantification of aboveground biomass of grasslands in alpine regions plays an important role in accurate quantification of global carbon cycling. The monthly normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), mean air temperature (Ta), ≥5℃ accumulated air temperature (AccT), total precipitation (TP), and the ratio of TP to AccT (TP/AccT) were used to model aboveground biomass (AGB) in grasslands on the Tibetan Plateau. Three stepwise multiple regression methods, including stepwise multiple regression of AGB with NDVI and EVI, stepwise multiple regression of AGB with Ta, AccT, TP and TP/AccT, and stepwise multiple regression of AGB with NDVI, EVI, Ta, AccT, TP and TP/AccT were compared. The mean absolute error (MAE) and root mean squared error (RMSE) values between estimated AGB by the NDVI and measured AGB were 31.05 g m-2 and 44.12 g m-2, and 95.43 g m-2 and 131.58 g m-2 in the meadow and steppe, respectively. The MAE and RMSE values between estimated AGB by the AccT and measured AGB were 33.61g m-2 and 48.04 g m-2 in the steppe, respectively. The MAE and RMSE values between estimated AGB by the vegetation index and climatic data and measured AGB were 28.09 g m-2 and 42.71 g m-2, and 35.86 g m-2 and 47.94 g m-2, in the meadow and steppe, respectively. The study finds that a combination of vegetation index and climatic data can improve the accuracy of estimates of AGB that are arrived at using the vegetation index or climatic data. The accuracy of estimates varied depending on the type of grassland.

Key words： air temperature; alpine grassland; normalized difference vegetation index; precipitation; enhanced vegetation index

Cite this article

FU Gang, SUN Wei, LI Shaowei, ZHANG Jing, YU Chengqun, SHEN Zhenxi . Modeling Aboveground Biomass Using MODIS Images and Climatic Data in Grasslands on the Tibetan Plateau[J]. Journal of Resources and Ecology, 2017 , 8(1) : 42 -49 . DOI: 10.5814/j.issn.1674-764x.2017.01.006

References

[1] Chen J, Gu S, Shen M G, et al. 2009. Estimating aboveground biomass of grassland having a high canopy cover: an exploratory analysis of in situ hyperspectral data. International Journal of Remote Sensing, 30(24): 6497–6517.
[2] Chu D, Deji Y Z, Pubu C R, et al. 2013a. Aboveground biomass in the North Tibet and estimate model using remote sensing data. Journal of Natural Resources, 28(11): 2000–2011. (in Chinese)
[3] Chu D, Lu L, Zhang T. 2007. Sensitivity of normalized difference vegetation index (NDVI) to seasonal and interannual climate conditions in the Lhasa area, Tibetan plateau, China. Arctic Antarctic and Alpine Research, 39(4): 635–641.
[4] Chu D, Pubu C R, Deji Y Z, et al. 2013b. Aboveground biomass estimate methods of grassland in the Central Tibet. Journal of Mountain Science, 31(6): 664–671. (in Chinese)
[5] Ding M J, Zhang Y L, Liu L S, et al. 2007. The relationship between NDVI and precipitation on the Tibetan Plateau. Journal of Geographical Sciences, 17(3): 259–268.
[6] Du Y E, Liu B K, Guo Z G. 2011. Changes of forage biomass of grasslands during the growing season in the Qinghai-Tibetan Plateau based on MODIS data. Pratacultural Science, 28(6): 1117–1123. (in Chinese)
[7] Fang J, Huang X D, Wang W, et al. 2011. The grassland biomass monitoring by remote sensing technology in the Qinghai-Tibet Plateau. Pratacultural Science, 28(7): 1345–1351. (in Chinese)
[8] Fu G, Shen Z X, Zhang X Z, et al. 2011a. Estimating air temperature of an alpine meadow on the Northern Tibetan Plateau using MODIS land surface temperature. Acta Ecologica Sinica, 31(1): 8–13.
[9] Fu G, Shen Z X, Zhang X Z, et al. 2012. Response of microbial biomass to grazing in an alpine meadow along an elevation gradient on the Tibetan Plateau. European Journal of Soil Biology, 52: 27–29.
[10] Fu G, Shen Z X, Sun W, et al. 2015a. A meta-analysis of the effects of experimental warming on plant physiology and growth on the Tibetan Plateau. Journal of Plant Growth Regulation, 34(1): 57–65.
[11] Fu G, Sun W, Yu C Q, et al. 2015b. Clipping alters the response of biomass production to experimental warming: a case study in an alpine meadow on the Tibetan Plateau, China. Journal of Mountain Science, 12(4): 935–942.
[12] Fu G, Zhou Y T, Shen Z X, et al. 2011b. Relationships between aboveground biomass and climate factors on alpine meadow in Northern Tibet. Chinese Journal of Grassland, 33(4): 31–36. (in Chinese)
[13] Gan Y M, Cheng P, Zhou C B, et al. 2009. Study on pertinence between the vegetation indexes and the aboveground biomass of sub-alpine meadow of Zoige County. Journal of Natural Resources, 24(11): 1963–1972. (in Chinese)
[14] Hu G J, Zhao L, Wu X D, et al. 2016. An analytical model for estimating soil temperature profiles on the Qinghai-Tibet Plateau of China. Journal of Arid Land, 8(2): 232–240.
[15] Hu M Q, Mao F, Sun H, et al. 2011. Study of normalized difference vegetation index variation and its correlation with climate factors in the three-river-source region. International Journal of Applied Earth Observation and Geoinformation, 13(1): 24–33.
[16] Jiang Y, Tao J, Huang Y Q, et al. 2015. The spatial pattern of grassland aboveground biomass on Xizang Plateau and its climatic controls. Journal of Plant Ecology, 8(1): 1–11.
[17] Klein J A, J Harte, Zhao X Q. 2007. Experimental warming, not grazing, decreases rangeland quality on the Tibetan Plateau. Ecological Applications, 17(2): 541–557.
[18] Li N, Wang G X, Yang Y, et al. 2011. Plant production, and carbon and nitrogen source pools, are strongly intensified by experimental warming in alpine ecosystems in the Qinghai-Tibet Plateau. Soil Biology & Biochemistry, 43(5): 942–953.
[19] Liu S L, Su X K, Dong S K, et al. 2015. Modeling aboveground biomass of an alpine desert grassland with SPOT-VGT NDVI. GIScience & Remote Sensing, 52(6): 680–699.
[20] Long Y U, Li Z, Wei L, et al. 2010. Using remote sensing and GIS technologies to estimate grass yield and livestock carrying capacity of alpine grasslands in Golog Prefecture, China. Pedosphere, 20(3): 342–351.
[21] Mi Z R, Zhang Y S, Zhao X Q, et al. 2010. Comparison NDVI with EVI in the herbage fresh weight estimation and vegetation dynamics for alpine grassland. Pratacultural Science, 27(6): 13–19. (in Chinese)
[22] Ni J. 2002. Carbon storage in grasslands of China. Journal of Arid Environments, 50(2): 205–218.
[23] Peng F, Xu M H, You Q G, et al. 2015. Different responses of soil respiration and its components to experimental warming with contrasting soil water content. Arctic Antarctic and Alpine Research, 47(2): 359–368.
[24] Shen M, Tang Y, Klein J, et al. 2008. Estimation of aboveground biomass using in situ hyperspectral measurements in five major grassland ecosystems on the Tibetan Plateau. Journal of Plant Ecology, 1(4): 247–257.
[25] Shen Z X, Fu G, Yu C Q, et al. 2014. Relationship between the growing season maximum enhanced vegetation index and climatic factors on the Tibetan Plateau. Remote Sensing, 6(8): 6765–6789.
[26] Song D M, Zhang Q, Yang X C, et al. 2011. Spatial and temporal characteristics of MODIS vegetation index in the source region of three rivers on Qinghai-Tibet Plateau in China. Geographical Research, 30(11): 2067–2075. (in Chinese)
[27] Sun J, Cheng G W, Li W P, et al. 2013. On the variation of NDVI with the principal climatic elements in the Tibetan Plateau. Remote Sensing, 5(4): 1894–1911.
[28] Wang S P, Duan J C, Xu G P, et al. 2012. Effects of warming and grazing on soil N availability, species composition, and ANPP in an alpine meadow. Ecology, 93(11): 2365–2376.
[29] Wang Z, Luo T X, Li R C, et al. 2013. Causes for the unimodal pattern of biomass and productivity in alpine grasslands along a large altitudinal gradient in semi-arid regions. Journal of Vegetation Science, 24(1): 189–201.
[30] Wu J, Shen Z, Zhang X 2014a. Precipitation and species composition primarily determine the diversity-productivity relationship of alpine grasslands on the Northern Tibetan Plateau. Alpine Botany, 124(1): 13–25.
[31] Wu J, Zhang X, Shen Z, et al. 2013a. Grazing-exclusion effects on aboveground biomass and water-use efficiency of alpine grasslands on the northern Tibetan Plateau. Rangeland Ecology & Management, 66(4): 454–461.
[32] Wu J, Zhang X, Shen Z, et al. 2014b. Effects of livestock exclusion and climate change on aboveground biomass accumulation in alpine pastures across the Northern Tibetan Plateau. Chinese Science Bulletin, 59(32): 4332–4340.
[33] Wu J B, Hong J T, Wang X D, et al. 2013b. Biomass partitioning and its relationship with the environmental factors at the alpine steppe in Northern Tibet. PLoS ONE, 8(12): doi:10.1371/journal.pone.0081986.
[34] Xiong J, Sun H, Peng F, et al. 2014. Characterizing changes in soil bacterial community structure in response to short-term warming. FEMS Microbiology Ecology, 89(2): 281–292.
[35] Yang P W, Fu G, Li Y L, et al. 2014. Aboveground biomass assessment in the Northern Tibet Plateau using ground-level remotely-sensed data. Pratacultural Science, 31(7): 1211–1217. (in Chinese)
[36] Yang S X, Zhang W J, Feng Q S, et al. 2016. Monitoring of grassland herbage accumulation by remote sensing using MODIS daily surface reflectance data in the Qingnan Region. Acta Prataculturae Sinica, 25(8): 14–26. (in Chinese)
[37] Yang W C, Wu X H, Zhang D G, et al. Evaluation of alpine grassland degradation of three-river source area in Chengduo Country based on MODIS NDVI. Grassland and Turf, 31(5): 50–54.
[38] Yang Y, Fang J, Pan Y, et al. 2009. Aboveground biomass in Tibetan grasslands. Journal of Arid Environments, 73(1): 91–95.
[39] Yang Y H, Piao S L. 2006. Variations in grassland vegetation cover in relation to climatic factors on the Tibetan Plateau. Chinese Journal of Plant Ecology, 30(1): 1–8. (in Chinese)
[40] Yao T D, Liu X D, Wang N L, et al. 2000. Amplitude of climatic changes in Qinghai-Tibetan Plateau. Chinese Science Bulletin, 45(13): 1236–1243.
[41] Yu S M, Liu J S, Yuan J G. 2010. Vegetation change of Yamzho Yumco Basin in Southern Tibet based on SPOT-VGT NDVI. Spectroscopy and Spectral Analysis, 30(6): 1570–1574.
[42] Zhang H Z, Shi X Z, Yu D S, et al. 2008. Spatial prediction of soil temperatures in China using different methods. Geographical Research, 27(6): 1299–1307. (in Chinese)
[43] Zhao W L, Qi J G, Sun G J, et al. 2012. Spatial patterns of top soil carbon sensitivity to climate variables in northern Chinese grasslands. Acta Agriculturae Scandinavica Section B-Soil and Plant Science, 62(8): 720–731.
[44] Zhong L, Ma Y M, Salama M S, et al. 2010. Assessment of vegetation dynamics and their response to variations in precipitation and temperature in the Tibetan Plateau. Climatic Change, 103(3–4): 519– 535.
[45] Zhou R, Yang Y H, Fang J Y. 2007. Responses of vegetation activity to precipitation variation on the Tibetan Plateau. Acta Scientiarum Naturalium Universitatis Pekinensis, 43(6): 771–775. (in Chinese)
[46] Zhou Y T, Fu G, Shen Z X, et al. 2013. Estimation model of aboveground biomass in the northern Tibet Plateau based on remote sensing data. Acta Prataculturae Sinica, 22(1): 120–129. (in Chinese)
Options
Outlines

/

〈 〉