Spatio-temporal changes in vegetation activity and its driving factors during the growing season in China from 1982 to 2011

Remote Sensing

Volumn 7, Issue 10, 2015, Pages 13729-13752

  Qu, Bo ^a,b   Zhu, Wenbin ^a   Jia, Shaofeng ^a   Lv, Aifeng ^a  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Climate change; GIMMS NDVI; Human activities; Multiple regression; Trend analysis

Indexed keywords

LAND USE; REFORESTATION; REGRESSION ANALYSIS; VEGETATION;

GIMMS NDVI; HUMAN ACTIVITIES; MULTIPLE REGRESSION MODEL; MULTIPLE REGRESSIONS; NATIONAL OCEANOGRAPHIC AND ATMOSPHERIC ADMINISTRATIONS; NORMALIZED DIFFERENCE VEGETATION INDEX; SPATIO-TEMPORAL CHANGES; TREND ANALYSIS;

CLIMATE CHANGE;

EID: 84945923452     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs71013729     Document Type: Article

References (67)

1. Wang, F.; Wang, X.; Zhao, Y.; Yang, Z. Temporal variations of NDVI and correlations between NDVI and hydro-climatological variables at Lake Baiyangdian, China. Int. J. Biometeorol. 2013, 58, 1531-1543.
2. Sims, D.A.; Rahman, A.F.; Cordova, V.D.; El-Masri, B.Z.; Baldocchi, D.D.; Bolstad, P.V.; Flanagan, L.B.; Goldstein, A.H.; Hollinger, D.Y.; Misson, L. A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from modis. Remote Sens. Environ. 2008, 112, 1633-1646.
3. Fensholt, R.; Rasmussen, K.; Nielsen, T.T.; Mbow, C. Evaluation of earth observation based long term vegetation trends-Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, TERRA MODIS and SPOT VGT data. Remote Sens. Environ. 2009, 113, 1886-1898.
4. Myneni, R.B.; Keeling, C.; Tucker, C.; Asrar, G.; Nemani, R. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 1997, 386, 698-702.
5. Kawabata, A.; Ichii, K.; Yamaguchi, Y. Global monitoring of interannual changes in vegetation activities using NDVI and its relationships to temperature and precipitation. Int. J. Remote Sens. 2001, 22, 1377-1382.
6. Los, S.O.; Collatz, G.J.; Bounoua, L.; Sellers, P.J.; Tucker, C.J. Global interannual variations in sea surface temperature and land surface vegetation, air temperature, and precipitation. J. Clim. 2001, 14, 1535-1549.
7. Chen, B.; Xu, G.; Coops, N.C.; Ciais, P.; Innes, J.L.; Wang, G.; Myneni, R.B.; Wang, T.; Krzyzanowski, J.; Li, Q.; et al. Changes in vegetation photosynthetic activity trends across the Asia-Pacific region over the last three decades. Remote Sens. Environ. 2014, 144, 28-41.
8. Xu, G.; Zhang, H.; Chen, B.; Zhang, H.; Innes, J.L.; Wang, G.; Yan, J.; Zheng, Y.; Zhu, Z.; Myneni, R.B. Changes in vegetation growth dynamics and relations with climate over China's landmass from 1982 to 2011. Remote Sens. 2014, 6, 3263-3283.
9. White, M.A.; Beurs, D.; Kirsten, M.; Didan, K.; Inouye, D.W.; Richardson, A.D.; Jensen, O.P.; O'Keefe, J.; Zhang, G.; Nemani, R.R. Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006. Glob. Chang. Biol. 2009, 15, 2335-2359.
10. Braswell, B.; Schimel, D.; Linder, E.; Moore, B. The response of global terrestrial ecosystems to interannual temperature variability. Science 1997, 278, 870-873.
11. Horion, S.; Fensholt, R.; Tagesson, T.; Ehammer, A. Using Earth Observation-based dry season NDVI trends for assessment of changes in tree cover in the Sahel. Int. J. Remote Sens. 2014, 35, 2493-2515.
12. Liu, X.; Zhang, J.; Zhu, X.; Pan, Y.; Liu, Y.; Zhang, D.; Lin, Z. Spatiotemporal changes in vegetation coverage and its driving factors in the three-river headwaters region during 2000-2011. J. Geogr. Sci. 2014, 24, 288-302.
13. Xu, L.; Myneni, R.B.; Chapin, F.S., III; Callaghan, T.V.; Pinzon, J.E.; Tucker, C.J.; Zhu, Z.; Bi, J.; Ciais, P.; Tømmervik, H.; et al. Temperature and vegetation seasonality diminishment over northern lands. Nat. Clim. Chang. 2013, 3, 581-586.
14. Jeong, S.J.; Ho, C.H.; Gim, H.J.; Brown, M.E. Phenology shifts at start vs. end of growing season in temperate vegetation over the northern hemisphere for the period 1982-2008. Glob. Chang. Biol. 2011, 17, 2385-2399.
15. Cong, N.; Wang, T.; Nan, H.; Ma, Y.; Wang, X.; Myneni, R.B.; Piao, S. Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: A multimethod analysis. Glob. Chang. Biol. 2013, 19, 881-891.
16. An, Y.; Gao, W.; Gao, Z. Characterizing land condition variability in northern China from 1982 to 2011. Environ. Earth Sci. 2013, 72, 663-676.
17. Xiao, J.; Moody, A. Trends in vegetation activity and their climatic correlates: China 1982 to 1998. Int. J. Remote Sens. 2004, 25, 5669-5689.
18. Piao, S. Interannual variations of monthly and seasonal normalized difference vegetation index (NDVI) in China from 1982 to 1999. J. Geophys. Res. 2003, 108, doi:10.1029/2002JD002848.
19. Tucker, C.J.; Slayback, D.A.; Pinzon, J.E.; Los, S.O.; Myneni, R.B.; Taylor, M.G. Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999. Int. J. Biometeorol. 2001, 45, 184-190.
20. Pettorelli, N.; Vik, J.O.; Mysterud, A.; Gaillard, J.-M.; Tucker, C.J.; Stenseth, N.C. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol. Evol. 2005, 20, 503-510.
21. Propastin, P.; Kappas, M.; Muratova, N. Inter-annual changes in vegetation activities and their relationship to temperature and precipitation in central Asia from 1982 to 2003. J. Environ. Inform. 2008, 12, 75-87.
22. Piao, S.; Mohammat, A.; Fang, J.; Cai, Q.; Feng, J. Ndvi-based increase in growth of temperate grasslands and its responses to climate changes in China. Glob. Environ. Change 2006, 16, 340-348.
23. Meng, M.; Ni, J.; Zong, M. Impacts of changes in climate variability on regional vegetation in China: NDVI-based analysis from 1982 to 2000. Ecol. Res. 2011, 26, 421-428.
24. Song, Y.; Ma, M. A statistical analysis of the relationship between climatic factors and the normalized difference vegetation index in China. Int. J. Remote Sens. 2011, 32, 3947-3965.
25. Wang, J.; Rich, P.M.; Price, K.P. Temporal responses of NDVI to precipitation and temperature in the Central Great Plains, USA. Int. J. Remote Sens. 2003, 24, 2345-2364.
26. Nicholson, S.E.; Davenport, M.L.; Malo, A.R. A comparison of the vegetation response to rainfall in the Sahel and East Africa, using normalized difference vegetation index from NOAA AVHRR. Clim. Change 1990, 17, 209-241.
27. Xiao, X.; Ojima, D.S.; Parton, W.J.; Chen, Z.; Chen, D. Sensitivity of Inner Mongolia grasslands to climate change. J. Biogeogr. 1995, 22, 643-648.
28. Chuai, X.W.; Huang, X.J.; Wang, W.J.; Bao, G. NDVI, temperature and precipitation changes and their relationships with different vegetation types during 1998-2007 in Inner Mongolia, China. Int. J. Climatol. 2013, 33, 1696-1706.
29. Miao, L.; Ye, P.; He, B.; Chen, L.; Cui, X. Future climate impact on the desertification in the dry land Asia using AVHRR GIMMS NDVI3g data. Remote Sens. 2015, 7, 3863-3877.
30. Fabricante, I.; Oesterheld, M.; Paruelo, J. Annual and seasonal variation of NDVI explained by current and previous precipitation across northern Patagonia. J. Arid Environ. 2009, 73, 745-753.
31. Mueller, T.; Dressler, G.; Tucker, C.; Pinzon, J.; Leimgruber, P.; Dubayah, R.; Hurtt, G.; Böhning-Gaese, K.; Fagan, W. Human land-use practices lead to global long-term increases in photosynthetic capacity. Remote Sens. 2014, 6, 5717-5731.
32. Omuto, C.; Vargas, R.; Alim, M.; Paron, P. Mixed-effects modelling of time series NDVI-rainfall relationship for detecting human-induced loss of vegetation cover in drylands. J. Arid Environ. 2010, 74, 1552-1563.
33. Li, H.; Yang, X. Temperate dryland vegetation changes under a warming climate and strong human intervention-with a particular reference to the District Xilin Gol, Inner Mongolia, China. Catena 2014, 119, 9-20.
34. Tian, H.; Cao, C.; Chen, W.; Bao, S.; Yang, B.; Myneni, R.B. Response of vegetation activity dynamic to climatic change and ecological restoration programs in Inner Mongolia from 2000 to 2012. Ecol. Eng. 2015, 82, 276-289.
35. Savitzky, A.; Golay, M.J. Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 1964, 36, 1627-1639.
36. Liu, Y.; Lu, S.; Chen, Y. Spatio-temporal change of urban-rural equalized development patterns in China and its driving factors. J. Rural. Stud. 2013, 32, 320-330.
37. Carter, C.A.; Zhong, F.; Zhu, J. Advances in Chinese agriculture and its global implications. Appl. Econ. Perspect. Policy 2012, 34, 1-36.
38. Duan, H.; Yan, C.; Tsunekawa, A.; Song, X.; Li, S.; Xie, J. Assessing vegetation dynamics in the three-north shelter forest region of China using AVHRR NDVI data. Environ. Earth Sci. 2011, 64, 1011-1020.
39. De Jong, R.; de Bruin, S.; de Wit, A.; Schaepman, M.E.; Dent, D.L. Analysis of monotonic greening and browning trends from global NDVI time-series. Remote Sens. Environ. 2011, 115, 692-702.
40. Weiss, E.; Marsh, S.; Pfirman, E. Application of NOAA-AVHRR NDVI time-series data to assess changes in Saudi Arabia's rangelands. Int. J. Remote Sens. 2001, 22, 1005-1027.
41. Evans, J.; Geerken, R. Discrimination between climate and human-induced dryland degradation. J. Arid Environ. 2004, 57, 535-554.
42. Wessels, K.; Prince, S.; Malherbe, J.; Small, J.; Frost, P.; VanZyl, D. Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa. J. Arid Environ. 2007, 68, 271-297.
43. Jiang, N.; Zhu, W.; Zheng, Z.; Chen, G.; Fan, D. A comparative analysis between GIMSS NDVIg and NDVI3g for monitoring vegetation activity change in the northern hemisphere during 1982-2008. Remote Sens. 2013, 5, 4031-4044.
44. Chen, J.; Jönsson, P.; Tamura, M.; Gu, Z.; Matsushita, B.; Eklundh, L. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sens. Environ. 2004, 91, 332-344.
45. Hird, J.N.; McDermid, G.J. Noise reduction of NDVI time series: An empirical comparison of selected techniques. Remote Sens. Environ. 2009, 113, 248-258.
46. Roerink, G.; Menenti, M.; Verhoef, W. Reconstructing cloudfree NDVI composites using Fourier analysis of time series. Int. J. Remote Sens. 2000, 21, 1911-1917.
47. Jönsson, P.; Eklundh, L. TIMESAT-A program for analyzing time-series of satellite sensor data. Comput. Geosci. 2004, 30, 833-845.
48. Swets, D.L.; Reed, B.C.; Rowland, J.D.; Marko, S.E. A weighted least-squares approach to temporal NDVI smoothing. In Proceedings of the 1999 American Society for Photogrammetry and Remote Sensing (ASPRS) Annual Conference, Portland, OR, USA, 17-21 May 1999.
49. Harris, I.; Jones, P.; Osborn, T.; Lister, D. Updated highresolution grids of monthly climatic observations-The CRU TS3. 10 Dataset. Int. J. Climatol. 2014, 34, 623-642.
50. Ichii, K.; Kawabata, A.; Yamaguchi, Y. Global correlation analysis for NDVI and climatic variables and NDVI trends: 1982-1990. Int. J. Remote Sens. 2002, 23, 3873-3878.
51. Wu, D.; Wu, H.; Zhao, X.; Zhou, T.; Tang, B.; Zhao, W.; Jia, K. Evaluation of spatiotemporal variations of global fractional vegetation cover based on GIMMS NDVI data from 1982 to 2011. Remote Sens. 2014, 6, 4217-4239.
52. Keys, R. Cubic convolution interpolation for digital image processing. IEEE Trans. Acoust. 1981, 29, 1153-1160.
53. Liu, J.; Liu, M.; Tian, H.; Zhuang, D.; Zhang, Z.; Zhang, W.; Tang, X.; Deng, X. Spatial and temporal patterns of China's cropland during 1990-2000: An analysis based on Landsat TM data. Remote Sens. Environ. 2005, 98, 442-456.
54. Reed, B.C.; Brown, J.F.; VanderZee, D.; Loveland, T.R.; Merchant, J.W.; Ohlen, D.O. Measuring phenological variability from satellite imagery. J. Veg. Sci. 1994, 5, 703-714.
55. Beurs, K.M.D.; Henebry, G.M. Northern annular mode effects on the land surface phenologies of northern Eurasia. J. Clim. 2008, 21, 4257-4279.
56. Van Leeuwen, W.J. Monitoring the effects of forest restoration treatments on post-fire vegetation recovery with MODIS multitemporal data. Sensors 2008, 8, 2017-2042.
57. Moulin, S.; Kergoat, L.; Viovy, N.; Dedieu, G. Global-scale assessment of vegetation phenology using NOAA/AVHRR satellite measurements. J. Clim. 1997, 10, 1154-1170.
58. Piao, S.; Fang, J.; Zhou, L.; Ciais, P.; Zhu, B. Variations in satellite-derived phenology in China's temperate vegetation. Glob. Chang. Biol. 2006, 12, 672-685.
59. Xin, J.; Yu, Z.; van Leeuwen, L.; Driessen, P.M. Mapping crop key phenological stages in the North China Plain using NOAA time series images. Int. J. Appl. Earth. Obs. Geoinf. 2002, 4, 109-117.
60. Tao, F.; Yokozawa, M.; Xu, Y.; Hayashi, Y.; Zhang, Z. Climate changes and trends in phenology and yields of field crops in China, 1981-2000. Agric. For. Meteorol. 2006, 138, 82-92.
61. Aiken, L.S.; West, S.G.; Reno, R.R. Multiple Regression: Testing and Interpreting Interactions; Sage Press: London, UK, 1991.
62. Wang, H.; Chen, A.; Wang, Q.; He, B. Drought dynamics and impacts on vegetation in China from 1982 to 2011. Ecol. Eng. 2015, 75, 303-307.
63. Jobbágy, E.G.; Sala, O.E.; Paruelo, J.M. Patterns and controls of primary production in the patagonian steppe: A remote sensing approach. Ecology 2002, 83, 307-319.
64. Wang, Z.; Zhang, B.; Zhang, S.; Li, X.; Liu, D.; Song, K.; Li, J.; Li, F.; Duan, H. Changes of land use and of ecosystem service values in Sanjiang Plain, Northeast China. Environ. Monit. Assess. 2006, 112, 69-91.
65. Zhang, T.H.; Zhao, H.L.; Li, S.G.; Li, F.R.; Shirato, Y.; Ohkuro, T.; Taniyama, I. A comparison of different measures for stabilizing moving sand dunes in the Horqin Sandy Land of Inner Mongolia, China. J. Arid Environ. 2004, 58, 203-214.
66. Li, Y.; Cui, J.; Zhang, T.; Okuro, T.; Drake, S. Effectiveness of sand-fixing measures on desert land restoration in Kerqin Sandy Land, Northern China. Ecol. Eng. 2009, 35, 118-127.
67. Nin-Pratt, A.; Yu, B.; Fan, S. Comparisons of agricultural productivity growth in China and India. J. Prod. Anal. 2010, 33, 209-223.