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地理学报(英文版)  2014, Vol. 24 Issue (4): 593-611    DOI: 10.1007/s11442-014-1108-0
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Grassland coverage inter-annual variation and its coupling relation with hydrothermal factors in China during 1982-2010
Wei ZHOU1(),Chengcheng GANG1,Yizhao CHEN1,Shaojie MU1,Zhengguo SUN2,Jianlong LI1,*()
1. School of Life Science, Nanjing University, Nanjing 210093, China
2. College of Animal Sciences, Nanjing Agricultural University, Nanjing 210095, China
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Abstract

GIMMS (Global Inventory Modeling and Mapping Studies) NDVI (Normalised Difference Vegetation Index) from 1982 to 2006 and MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI from 2001 to 2010 were blended to extract the grass coverage and analyze its spatial pattern. The response of grass coverage to climatic variations at annual and monthly time scales was analyzed. Grass coverage distribution had increased from northwest to southeast across China. During 1982-2010, the mean nationwide grass coverage was 34% but exhibited apparent spatial heterogeneity, being the highest (61.4%) in slope grasslands and the lowest (17.1%) in desert grasslands. There was a slight increase of the grass coverage with a rate of 0.17% per year. Increase in slope grasslands coverage was as high as 0.27% per year, while in the plain grasslands and meadows the grass coverage increase was the lowest (being 0.11% per year and 0.1% per year, respectively). Across China, the grass coverage with extremely significant increase (P<0.01) and significant increase (P<0.05) accounted for 46.03% and 11% of the total grassland area, respectively, while those with extremely significant and significant decrease accounted for only 4.1% and 3.24%, respectively. At the annual time scale, there are no significant correlations between grass coverage and annual mean temperature and precipitation. However, the grass coverage was somewhat affected by temperature in alpine and sub-alpine grassland, alpine and sub-alpine meadow, slope grassland and meadow, while grass coverage in desert grassland and plain grassland was more affected by precipitation. At the monthly time-scale, there are significant correlations between grass coverage with both temperature and precipitation, indicating that the grass coverage is more affected by seasonal fluctuations of hydrothermal conditions. Additionally, there is one-month time lag-effect between grass coverage and climate factors for each grassland types.

Key wordsgrass coverage    climate factors    spatial-temporal dynamic    correlation    time lag effect
收稿日期: 2013-12-27      出版日期: 2015-07-09
作者简介: Zhou Wei (1985-), PhD, specialized in application of remote sensing and terrestrial ecosystem carbon cycle. E-mail: zhouw866@163.com
引用本文:   
. [J]. 地理学报(英文版), 2014, 24(4): 593-611.
Wei ZHOU,Chengcheng GANG,Yizhao CHEN,Shaojie MU,Zhengguo SUN,Jianlong LI. Grassland coverage inter-annual variation and its coupling relation with hydrothermal factors in China during 1982-2010. Journal of Geographical Sciences, 2014, 24(4): 593-611.
链接本文:  
http://www.geogsci.com/CN/10.1007/s11442-014-1108-0      或      http://www.geogsci.com/CN/Y2014/V24/I4/593
Figure 1  
Month Temperature (℃) (n=720) Precipitation (mm) (n=720)
Mean error RMSE R2 Mean error RMSE R2
Jan 0.006 0.958 0.958 0.289 0.987 0.809
Feb -0.073 0.985 0.935 0.351 1.425 0.815
Mar -0.115 0.937 0.859 0.509 0.958 0.931
Apr -0.136 0.883 0.821 3.149 1.491 0.799
May -0.124 0.925 0.842 0.438 1.677 0.839
Jun -0.108 0.960 0.869 1.758 0.975 0.877
Jul -0.113 0.883 0.894 -10.026 1.709 0.841
Aug -0.095 0.908 0.886 -7.659 1.506 0.792
Sep -0.098 0.976 0.893 -4.742 0.997 0.828
Oct -0.085 0.950 0.897 2.768 1.302 0.817
Nov 0.028 0.875 0.927 0.481 1.146 0.784
Dec 0.008 0.887 0.953 -0.447 1.030 0.803
Table 1  
Figure 2  
Figure 3  
Figure 4  
Percentage
(%)
Alpine sub-alpine
meadow
Slope
grassland
Plain
grassland
Desert
grassland
Meadow Alpine sub-alpine
grassland
Total
grassland
ESD 5.53 1.64 5.26 2.76 6.27 1.22 4.10
SD 4.05 1.68 3.75 2.35 5.30 1.12 3.24
NSD 13.84 8.23 17.61 10.85 23.78 6.47 13.80
NSI 19.90 18.46 23.96 22.69 27.13 18.72 21.83
SI 9.85 11.63 9.55 11.97 8.35 15.02 11.00
ESI 46.83 58.36 39.87 49.39 29.17 57.46 46.03
Table 2  
Figure 5  
Figure 6  
Figure 7  
Figure 8  
Figure 9  
Figure 10  
Figure 11  
Temperature Current
month’s
Former one
month’s
Former two
months’
Former three
months’
Alpine sub-alpine meadow 0.82 0.92 0.74 0.28
Slope grassland 0.83 0.90 0.68 0.07
Plain grassland 0.83 0.91 0.71 0.20
Desert grassland 0.71 0.85 0.75 0.42
Meadow 0.88 0.93 0.68 0.11
Alpine sub-alpine grassland 0.76 0.90 0.81 0.47
Total grassland 0.80 0.90 0.74 0.29
Table 3  
Precipitation Current month’s Former one month’s Former two months’ Former three months’
Alpine sub-alpine meadow 0.81 0.85 0.49 0.11
Slope grassland 0.71 0.74 0.61 0.06
Plain grassland 0.80 0.82 0.53 0.04
Desert grassland 0.64 0.69 0.55 0.03
Meadow 0.84 0.83 0.54 0.19
Alpine sub-alpine grassland 0.70 0.75 0.51 0.15
Total grassland 0.76 0.79 0.56 0.07
Table 4  
1 Chen X, Tan Z, Schwartz M Det al., 2000. Determining the growing season of land vegetation on the basis of plant phenology and satellite data in northern China.International Journal of Biometeorology, 44(2): 97-101.
2 Chen Youqi, Peter H Verburg, Xu Bin, 2000. Spatial modeling of land use and its effects in China.Progress in Geography, 19(2): 116-127. (in Chinese)
3 Christensen L, Coughenour M B, Ellis J Eet al., 2004. Vulnerability of the Asian typical steppe to grazing and climate change.Climatic Change, 63(3): 351-368.
4 Cui Linli, Shi Jun, Yang Yinminget al., 2009. Ten-day response of vegetation NDVI to the variations of temperature and precipitation in eastern China.Acta Geographica Sinica, 64(7): 850-860. (in Chinese)
5 Dai Shengpei, Zhang Bo, Wang Haijunet al., 2010. Spatio-temporal variation characteristics of vegetation cover in northwest China and its response to climate change.Remote Sensing Technology and Application, 25(1): 69-76. (in Chinese)
6 Dai S P, Zhang B, Wang H Jet al., 2011. Vegetation cover change and the driving factors over northwest China.Journal of Arid Land, 3(1): 25-33.
7 Fang Jingyun, Piao Shilong, He Jinshenget al., 2003. Vegetation of China invigorated in last 20 years. Science in China (Series C), 33(6): 554-565. (in Chinese)
8 Gan Chunying, Wang Xizhi, Li Baoshenget al., 2011. Changes of vegetation coverage during recent 18 years in Lianjiang river watershed.Scientia Geographica Sinica, 31(8): 1019-1024. (in Chinese)
9 Gutman G, Ignatov A, 1998. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models.International Journal of Remote Sensing, 19(8): 1533-1543.
10 Hall F G, Huemmrich K F, Goetz S Jet al., 1992. Satellite remote sensing of surface energy balance: Success, failures, and unresolved issues in FIFE. Journal of Geophysical Research:Atmospheres (1984-2012), 97(D17): 19061-19089.
11 Keeling C D, Chin J, Whorf T P, 1996. Increased activity of northern vegetation inferred from atmospheric CO2 measurements.Nature, 382(6587): 146-149.
12 Li Xia, Li Xiaobing, Wang Honget al., 2006. Impact of climate change on temperate grassland in northern China. Journal of Beijing Normal University (Natural Science), 42(6): 618-623. (in Chinese)
13 Li Xiaobing, Shi Peijun, 2000. Sensitivity analysis of variation in NDVI, temperature and precipitation in typical vegetation types across China.Acta Phytoecologica Sinica, 24(3): 379-382. (in Chinese)
14 Li Z, Kafatos M, 2000. Interannual variability of vegetation in the United States and its relation to El Nino/Southern Oscillation.Remote Sensing of Environment, 71(3): 239-247.
15 Luo Ling, Wang Zongming, Song Kaishanet al., 2009. Research on the correlation between NDVI and climatic factors of different vegetations in the Northeast China.Acta Botanica Boreali-Occidentalia Sinica, 29(4): 800-808. (in Chinese)
16 Mu S J, Yang H F, Li J Let al., 2013. Spatio-temporal dynamics of vegetation coverage and its relationship with climate factors in Inner Mongolia, China.Journal of Geographical Sciences, 23(2): 231-246.
17 Myneni R B, Keeling C D, Tucker C Jet al., 1997. Increased plant growth in the northern high latitudes from 1981 to 1991.Nature, 386(6626): 698-702.
18 Parmesan C, Yohe G, 2003. A globally coherent fingerprint of climate change impacts across natural systems.Nature, 421(6918): 37-42.
19 Piao Shilong, Fang Jingyun, 2001. Dynamic vegetation cover change over the last 18 years in China.Quaternary Research, 21(4): 294-302. (in Chinese)
20 Piao S L, Fang J Y, Ji Wet al., 2004. Variation in a satellite-based vegetation index in relation to climate in China.Journal of Vegetation Science, 15(2): 219-226.
21 Piao S L, Mohammat A, Fang J Yet al., 2006. NDVI-based increase in growth of temperate grasslands and its responses to climate changes in China.Global Environmental Change, 16(4): 340-348.
22 Ran Y, Li X, Lu L, 2010. Evaluation of four remote sensing based land cover products over China.International Journal of Remote Sensing, 31(2): 391-401.
23 Ren Jizhou, Liang Tiangang, Lin Huilonget al., 2011. Study on grassland’s response to global climate change and its carbon sequestration potentials.Acta Prataculturae Sinica, 20(2): 1-22. (in Chinese)
24 Roerink G J, Menenti M, Soepboer Wet al., 2003. Assessment of climate impact on vegetation dynamics by using remote sensing. Physics and Chemistry of the Earth, Parts A/B/C, 28(1): 103-109.
25 Shi Y, Shen Y, Kang Eet al., 2007. Recent and future climate change in Northwest China.Climatic Change, 80(3/4): 379-393.
26 Sun Hongyu, Wang Changyao, Niu Zhenget al., 1998. Analysis of the vegetation cover change and the relationship between NDVI and environmental factors by using NOAA times series data.Journal of Remote Sensing, 2(3): 204-210. (in Chinese)
27 Sun J, Cheng G W, Li W Pet al., 2013. On the variation of NDVI with the principal climatic elements in the Tibetan Plateau.Remote Sensing, 5(4): 1894-1911.
28 Sun Yanling, Guo Peng, Yan Xiaodonget al., 2010. Dynamics of vegetation cover and its relationship with climate change and human activities in Inner Mongolia.Journal of Natural Resources, 25(3): 407-414. (in Chinese)
29 Ta Lateng, Liu Julan, Li Jiet al., 2008. Monitoring on the effect of returning grazing desert to grassland in Alashan.Pratacultural Science, 25(2): 124-127. (in Chinese)
30 Tang Haiping, Cheng Yufu, 2003. Inter-annual variability of NDVI and its relation to climate in Northeast China transect.Quaternary Research, 23(3): 318-325. (in Chinese)
31 Waker B, Steffen W, 1997. IGBP Science No.1: A Synthesis of GCTE and Related Research. Stockholm: IGBP, 1-24.
32 Wang Jing, Guo Ni, Cai D Het al., 2009. The effect evaluation of the program of restoring grazing to grasslands in Maqu County.Acta Ecologica Sinica, 29(3): 1276-1284. (in Chinese)
33 Weltzin J F, Loik M E, Schwinning Set al., 2003. Assessing the response of terrestrial ecosystems to potential changes in precipitation.Bioscience, 53(10): 941-952.
34 Wu Ruifen, Huo Zhiguo, Cao Yanfanget al., 2009. Phenophase change of typical herbaceous plants in Inner Mongolia in spring and its response to climate warming.Chinese Journal of Ecology, 28(8): 1470-1475. (in Chinese)
35 Xin Z, Xu J, Zheng W, 2008. Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau (1981-2006): Impacts of climate changes and human activities.Science in China Series D: Earth Sciences, 51(1): 67-78.
36 Xin Zhongbao, Xu Jiongxin, Zheng Wei, 2007. Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau (1981-2006): Impacts of climate changes and human activities.Science in China: Earth Sciences, 37(11): 1504-1514. (in Chinese)
37 Yang Yuanhe, Piao Shilong, 2006. Variations in grassland vegetation cover in relation to climatic factors on the Tibetan Plateau.Journal of Plant Ecology, 30(1): 1-8. (in Chinese)
38 Zhang Baoqing, Wu Pute, Zhao Xining, 2011. Detecting and analysis of spatial and temporal variation of vegetation cover in the Loess Plateau during 1982-2009.Transactions of the CSAE, 27(4): 287-294. (in Chinese)
39 Zhang F, Tiyip T, Ding J Let al., 2013. Vegetation fractional coverage change in a typical oasis region in Tarim River Watershed based on remote sensing.Journal of Arid Land, 5(1): 89-101.
40 Zhang G L, Dong J W, Xiao X Met al., 2012. Effectiveness of ecological restoration projects in Horqin Sandy Land, China based on SPOT-VGT NDVI data.Ecological Engineering, 38(1): 20-29.
41 Zhang Geli, Xu Xingliang, Zhou Caipinget al., 2011. Responses of vegetation changes to climatic variations in Hulun Buir Grassland in past 30 years.Acta Geographica Sinica, 66(1): 47-58. (in Chinese)
42 Zhang J, Ge J P, Guo Q X, 2001. The relation between the change of NDVI of the main vegetational types and the climatic factors in the northeast of China.Acta Ecologica Sinica, 21(4): 522. (in Chinese)
43 Zhang J, Zhang Q, Yang Let al., 2006. Seasonal characters of regional vegetation activity in response to climate change in West China in recent 20 years. Journal of Geographical Sciences, 16(1): 78-86.
44 Zhao Maosheng, Fu Congbin, Yan Xiaodong, 2001. Study on the relationship between different ecosystems and climate in China using NOAA/AVHRR data.Acta Geographica Sinica, 56(3): 287-296. (in Chinese)
45 Zhou L, Tucker C J, Kaufmann R Ket al., 2001.Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999.Journal of Geophysical Research: Atmospheres (1984-2012), 106(D17): 20069-20083.
46 Zhou W, Li J L, Mu S Jet al., 2013. Effects of ecological restoration-induced land-use change and improved management on grassland net primary productivity in the Shiyanghe River Basin, north-west China.Grass and Forage Science, doi:
doi: 10.1111/gfs.12073
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