Monitoring vegetation phenology and their response to climate change on Chinese Loess Plateau based on remote sensing

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 31, Issue 15, 2015, Pages 153-160

  Xie, Baoni ^a   Qin, Zhanfei ^a   Wang, Yang ^a   Chang, Qingrui ^a  

^a NORTHWEST A F UNIVERSITY   (China)

Author keywords

Chinese Loess Plateau; Climate change; LTDR (land long term data record); Phenology; Remote sensing; Vegetation

Indexed keywords

CLIMATE MODELS; CORRELATION METHODS; ECOLOGY; FORESTRY; LANDFORMS; NEEDLES; REMOTE SENSING; SEDIMENTS; TIME SERIES; TIME SERIES ANALYSIS; VEGETATION;

ARTIFICIAL VEGETATION; CHINESE LOESS PLATEAU; ECOLOGICAL ENVIRONMENTS; END OF GROWING SEASONS; LONG TERM DATA RECORD; NORMALIZED DIFFERENCE VEGETATION INDEX; PHENOLOGY; REFERENCE FOR EVALUATION;

CLIMATE CHANGE;

CLIMATES; DATA; PHENOLOGY; PLANTS; REMOTE SENSING;

EID: 84940856231     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.11975/j.issn.1002-6819.2015.15.021     Document Type: Article

References (39)

1. Lieth H. Phenology and Seasonality Modeling [M]. Berlin: Springer Verlag, 1974.
2. Richardson A D, Keenan T F, Migliavacca M, et al. Climate change, phenology, and phenological control of vegetation feedbacks to the climate system [J]. Agricultural and Forest Meteorology, 2013, 169(2): 156-173.
3. Xu Qingyun, Yang Guijun, Long Huiling, et al. Crop information identification based on MODIS NDVI time-series data [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2014, 30(11): 134-144. (in Chinese with English abstract)
4. Badeck F, Bondeau A, Böttcher K, et al. Responses of spring phenology to climate change [J]. New Phytologist, 2004, 162(2): 295-309.
5. Kang Jun, Hou Xuehui, Niu Zheng, et al. Decision tree classification based on fitted phenology parameters from remotely sensed vegetation data [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2014, 30(9): 148-156. (in Chinese with English abstract)
6. Liu Junming, Li Manman, Wang Pengxin, et al. Monitoring of phenology by reconstructing LAI time series data for winter wheat [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2013, 29(19): 120-129. (in Chinese with English abstract)
7. Cong Nan, Wang Tao, Nan Huijuan, et al. Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: A multimethod analysis [J]. Global Change Biology, 2013, 19(3): 881-891.
8. Doktor D, Bondeau A, Koslowski D, et al. Influence of heterogeneous landscapes on computed green-up dates based on daily AVHRR NDVI observations [J]. Remote Sensing of Environment, 2009, 113(12): 2618-2632.
9. Piao Shilong, Cui Mengdi, Chen Anping, et al. Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau [J]. Agricultural and Forest Meteorology, 2011, 151(12): 1599-1608.
10. Piao Shilong, Fang Jingyun, Zhu Liming. Variations in satellite-derived phenology in China's temperate vegetation [J]. Global Change Biology, 2006, 12(4): 672-685.
11. Wang Cong, Cao Ruyin, Chen Jin, et al. Temperature sensitivity of spring vegetation phenology correlates to within-spring warming speed over the Northern Hemisphere [J]. Ecological Indicators, 2015, 50(3): 62-68.
12. Wu Xiuchen, Liu Hongyan. Consistent shifts in spring vegetation green-up date across temperate biomes in China, 1982-2006 [J]. Global Change Biology, 2013, 19(3): 870-880.
13. Xin Qinchuan, Broich M, Zhu Peng, et al. Modeling grassland spring onset across the Western United States using climate variables and MODIS-derived phenology metrics [J]. Remote Sensing of Environment, 2015, 161(5): 63-77.
14. Zhang Geli, Zhang Yangjian, Dong Jinwei, et al. Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011 [J]. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2013, 110(11): 4309-4314.
15. Hou Xuehui, Niu Zheng, Gao Shuai, et al. Monitoring vegetation phenology in farming-pastoral zone using SPOT-VGT NDVI data [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2013, 29(1): 142-150. (in Chinese with English abstract)
16. Guo Haiying, Zhao Jianping, Suo Anning, et al. Response of agricultural phenospectrum to global climate change in Loess Plateau of east Gansu province [J]. Journal of Natural Resources, 2006, 21(4): 608-614. (in Chinese with English abstract)
17. Guo Jiangyong, Lin Li. Study on the accumulative temperature and the precipitation in the period of the accumulative temperature in Ningxia [J]. Agricultural Research in the Arid Areas, 2008, 26(2): 235-239. (in Chinese with English abstract)
18. Ma Pengli, Guo Jiangyong. Effect of climate warming on phenophase in Xifeng in the Loess Plateau [J]. Arid Zone Research, 2007, 24(5): 675-678. (in Chinese with English abstract)
19. Zhang Hongfen, Han Tao, Huang Bin. Influence of air temperature change on phonology spectrum in spring season in the Loess Plateau of Gansu [J]. Resources Science, 2007, 29(6): 10-15. (in Chinese with English abstract)
20. Wei Zhenfeng, Ren Zhiyuan, Zhang Chong, et al. Impact of climate on vegetation phenology on Loess Plateau in Shaanxi-Gansu-Ningxia region during 1999-2010 [J]. Bulletin of Soil and Water Conservation, 2014, 34(5): 232-236. (in Chinese with English abstract)
21. Zhang Han, Ren Zhiyuan. Remote sensing analysis of vegetation phenology characteristics in Shaanxi Province based on Whittaker smoother method [J]. Journal of Desert Research, 2015, 35(4): 1-6. (in Chinese with English abstract)
22. Jia Xiaoxu. Distribution of Soil Water and Its Effect on Carbon Process in Grassland Ecosystems on the Typical Loess Plateau [D]. Yangling: Northwest N&F University, 2014. (in Chinese with English abstract)
23. Pedelty J, Devadiga S, Masuoka E, et al. Generating a long-term land data record from the AVHRR and MODIS Instruments [C]. Proceedings of IEEE International Geoscience and Remote Sensing Symposium, IGARSS Denver, Barcelona, Spain, 2007: 1021-1025.
24. Holben B N. Characteristics of maximum-value composite images from temporal AVHRR data [J]. International Journal of Remote Sensing, 1986, 7(11): 1417-1434.
25. Jakubauskas M E, Legates D R, Kastens J H. Harmonic analysis of Time-Series AVHRR NDVI data [J]. Photogrammetric Engineering & Remote Sensing, 2001, 67(4): 461-470.
26. Braswell B H, Schimel D S, Linder E, et al. The response of global terrestrial ecosystems to interannual temperature variability [J]. Science, 1997, 278(5339): 870-873.
27. Wang Jingpu, Liu Lianyou, Jia Kai, et al. Spatiotemporal variation of vegetation phenology and its affecting factors in Mu Us sandy land [J]. Journal of Desert Research, 2015, 35(3): 1-7. (in Chinese with English abstract)
28. An Youzhi. Vegetation NDVI and Phenology Change in Northern China Based on Remote Sensing [D]. Shanghai: East China Normal University, 2014. (in Chinese with English abstract)
29. Walther G, Post E, Convey P, et al. Ecological responses to recent climate change [J]. Nature, 2002, 416(6879): 389-395.
30. Wei Zhenfeng, Wang Deiguo, Zhang Chong, et al. Spatio-temporal variation of vegetation phenology on Loess Plateau in Shaanxi-Gansu-Ningxia region in recent 12 years [J]. Journal of Ecology and Rural Environment, 2014, 30(4): 423-429. (in Chinese with English abstract)
31. Chmielewski F, Rötzer T. Response of tree phenology to climate change across Europe [J]. Agricultural and Forest Meteorology, 2001, 108(2): 101-112.
32. Ahas R, Jaagus J, Aasa A. The phenological calendar of Estonia and its correlation with mean air temperature [J]. International Journal of Biometeorology, 2000, 44(4): 159-166.
33. Fitter A H, Fitter R S R. Rapid changes in flowering time in british plants [J]. Science, 2002, 296(5573): 1689-1691.
34. Jeong S, Ho C, Gim H, et al. Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008 [J]. Global Change Biology, 2011, 17(7): 2385-2399.
35. Saxe H, Cannell M G R, Johnsen Ø, et al. Tree and forest functioning in response to global warming [J]. New Phytologist, 2001, 149(3): 369-399.
36. Yu Haiying, Luedeling E, Xu Jianchu. Winter and spring warming result in delayed spring phenology on the Tibetan Plateau [J]. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2010, 107(51): 22151-22156.
37. Delpierre N, Dufrêne E, Soudani K, et al. Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France [J]. Agricultural and Forest Meteorology, 2009, 149(6): 938-948.
38. Estrella N, Menzel A. Responses of leaf colouring in four deciduous tree species to climate and weather in Germany [J]. Climate Research, 2006, 32(3): 253-267.
39. Shutova E, Wielgolaski F E, Karlsen S R, et al. Growing seasons of Nordic mountain birch in northernmost Europe as indicated by long-term field studies and analyses of satellite images [J]. International Journal of Biometeorology, 2006, 51(2): 155-166.