Journal of Geographical Sciences ›› 2015, Vol. 25 ›› Issue (2): 131-148.doi: 10.1007/s11442-015-1158-y
• Orginal Article • Next Articles
Mingjun DING1,2(), Lanhui LI1, Yili ZHANG2,3,*(
), Xiaomin SUN2,4, Linshan LIU2, Jungang GAO2, Zhaofeng WANG2, Yingnian LI5
Received:
2014-08-18
Accepted:
2014-09-26
Online:
2015-02-15
Published:
2015-02-15
Contact:
Yili ZHANG
E-mail:dingmingjun1128@163.com;zhangyl@igsnrr.ac.cn
About author:
Author: Ding Mingjun (1979-), PhD and Associate Professor, specialized in land-use/land-cover change and physical geography. E-mail:
Supported by:
Mingjun DING, Lanhui LI, Yili ZHANG, Xiaomin SUN, Linshan LIU, Jungang GAO, Zhaofeng WANG, Yingnian LI. Start of vegetation growing season on the Tibetan Plateau inferred from multiple methods based on GIMMS and SPOT NDVI data[J].Journal of Geographical Sciences, 2015, 25(2): 131-148.
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Figure 1
Schematic figures showing the methods of phenological detection. (a) Defining the NDVI threshold according to the NDVI relative change (NDVI(t + 1) - NDVI(t)) (Method 1). (b) Defining the NDVI threshold according to the NDVI relative change ratio ((NDVI(t + 1) - NDVI(t)) / NDVI(t)) (Method 2) in the NDVI seasonal cycle fitted by HANTS (with the same temporal resolution as the raw data), and then determining SGS by applying the NDVI threshold in each year’s NDVI seasonal cycle fitted by HANTS (with a temporal resolution of 1 d). (c) Determining the maximum and minimum NDVI values based on the smoothed data with the same temporal resolution as the raw data, and then normalizing all the NDVI values using (NDVImax - NDVImin) based on the smoothed data with a temporal resolution of 1 d and determining SGS by applying the NDVI ratio threshold (Method 3). (d) Based on the three-points-smooth data, modeling by the four-parameter logistic function, and then calculating the rate of change of the curvature and defining SGS as the time when RCC reached its first local maximum value (Method 4). For (a), (b) and (d), the change lines are shown in gray, while the smooth data are shown in black."
Figure 2
Spatial distribution of the vegetation SGS estimated from GIMMS NDVI data by the four methods described in the text. (a) Method 1; (b) Method 2; (c) Method 3; (d) Method 4; (e) Average of the four methods; and (f) SD of the four methods. The name of the physiographical regions are as follows: IB1 Golog-Nagqu high-cold shrub-meadow zone; IC1 Southern Qinghai high-cold meadow steppe zone; IC2 Qangtang high-cold steppe zone; ID1 Kunlun high-cold desert zone; IIAB1 Western Sichuan-eastern Tibet montane coniferous forest zone; IIC1 Southern Tibet montane shrub-steppe zone; IIC2 Eastern Qinghai-Qilian montane steppe zone; IID1 Ngari montane desert-steppe and desert zone; IID2 Qaidam montane desert zone; IID3 Northern slopes of Kunlun montane desert zone; OA1 Southern slopes of Himalaya montane evergreen broad-leaved forest zone (Zheng, 1996)."
Figure 9
Vegetation growth curves at two sample sites in 2006 (Qilian and Qingshuihe) based on GIMMS data. The blue and red straight lines show the extracted vegetation phenological information based on the raw and smoothed data, respectively. The NDVI values were averaged within a circular area, with an 8-km radius, centered at each site. The phenological information is calculated using Methods 1, 2 and 3."
7 | Hogda K A, Tommervik H, Karlsen S R, 2013. Trends in the start of the growing season in Fennoscandia 1982-2011.Remote Sensing, 5(9): 4304-4318. |
8 | Holben B N, 1986. Characteristics of maximum-value composite images from temporal AVHRR data.International Journal of Remote Sensing, 7(11): 1417-1434. |
9 | Jeong S J, Ho C H, Gim H Jet al., 2011. Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008.Global Change Biology, 17(7): 2385-2399. |
10 | Jiang N, Zhu W Q, Zheng Z Tet al., 2013. A comparative analysis between GIMSS NDVIg and NDVI3g for monitoring vegetation activity change in the Northern Hemisphere during 1982-2008.Remote Sensing, 5(8): 4031-4044. |
11 | Jonsson P, Eklundh L, 2002. Seasonality extraction by function fitting to time-series of satellite sensor data.IEEE Transactions on Geoscience and Remote Sensing, 40(8): 1824-1832. |
12 | Julien Y, Sobrino J A, 2009. Global land surface phenology trends from GIMMS database.International Journal of Remote Sensing, 30(13): 3495-3513. |
13 | Kross A, Fernandes R, Seaquist Jet al., 2011. The effect of the temporal resolution of NDVI data on season onset dates and trends across Canadian broadleaf forests.Remote Sensing of Environment, 115(6): 1564-1575. |
14 | Maisongrande P, Duchemin B, Dedieu G, 2004. VEGETATION/SPOT: An operational mission for the Earth monitoring; presentation of new standard products.International Journal of Remote Sensing, 25(1): 9-14. |
15 | Menzel A, 2002. Phenology: Its importance to the global change community.Climatic Change, 54(4): 379-385. |
16 | Menzel A, Sparks T H, Estrella Net al., 2006. European phenological response to climate change matches the warming pattern.Global Change Biology, 12(10): 1969-1976. |
17 | Moulin S, Kergoat L, Viovy Net al., 1997. Global-scale assessment of vegetation phenology using NOAA/AVHRR satellite measurements.Journal of Climate, 10(6): 1154-1170. |
18 | 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. |
19 | Niemand C, Kostner B, Prasse Het al., 2005. Relating tree phenology with annual carbon fluxes at Tharandt forest.Meteorologische Zeitschrift, 14(2): 197-202. |
20 | Parmesan C, 2007. Influences of species, latitudes and methodologies on estimates of phenological response to global warming.Global Change Biology, 13(9): 1860-1872. |
21 | Peñuelas J, Rutishauser T, Filella I, 2009. Phenology feedbacks on climate change.Science, 324(5929): 887. |
22 | Piao S L, Cui M D, Chen A Pet al., 2011. Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau.Agricultural and Forest Meteorology, 151(12): 1599-1608. |
23 | Piao S L, Fang J Y, Ciais Pet al., 2009. The carbon balance of terrestrial ecosystems in China.Nature, 458(7241): 1009-1013. |
24 | Piao S L, Fang J Y, Zhou L Met al., 2006. Variations in satellite-derived phenology in China’s temperate vegetation.Global Change Biology, 12(4): 672-685. |
25 | Piao S L, Friedlingstein P, Ciais Pet al., 2007. Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades. Global Biogeochemical Cycles, 21(3): GB3018. |
26 | Rahman H, Dedieu G, 1994. SMAC: A simplified method for the atmospheric correction of satellite measurements in the solar spectrum.Remote Sensing, 15(1): 123-143. |
27 | Reed B C, Brown J F, VanderZee Det al., 1994. Measuring phenological variability from satellite imagery.Journal of Vegetation Science, 5(5): 703-714. |
28 | Richardson A D, Hollinger D Y, Dail D Bet al., 2009. Influence of spring phenology on seasonal and annual carbon balance in two contrasting New England forests.Tree Physiology, 29(3): 321-331. |
29 | Roerink G J, Menenti M, Verhoef W, 2000. Reconstructing cloud-free NDVI composites using Fourier analysis of time series.International Journal of Remote Sensing, 21(9): 1911-1917. |
30 | Savitzky A, Golay M J E, 1964. Smoothing and differentiation of data by simplified least squares procedures.Analytical Chemistry, 36(8): 1627-1639. |
31 | Shen M G, 2011. Spring phenology was not consistently related to winter warming on the Tibetan Plateau.Proceedings of the National Academy of Sciences, 108(19): E91-E92. |
32 | Shen M G, Sun Z Z, Wang S Pet al., 2013. No evidence of continuously advanced green-up dates in the Tibetan Plateau over the last decade.Proceedings of the National Academy of Sciences, 110(26): E2329. |
1 | Chen J, Jönsson P, Tamura Met al., 2004. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter.Remote Sensing of Environment, 91(3): 332-344. |
2 | Chen X Q, Tan Z J, 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. |
33 | Shen M G, Tang Y H, Chen Jet al., 2011. Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau.Agricultural and Forest Meteorology, 151(12): 1711-1722. |
34 | Slayback D A, Pinzon J E, Los S Oet al., 2003. Northern hemisphere photosynthetic trends 1982-99.Global Change Biology, 9(1): 1-15. |
35 | Sobrino J A, Julien Y, 2011. Global trends in NDVI-derived parameters obtained from GIMMS data.International Journal of Remote Sensing, 32(15): 4267-4279. |
36 | Song C Q, You S C, Ke L Het al., 2011. Spatio-temporal variation of vegetation phenology in the Northern Tibetan Plateau as detected by MODIS remote sensing.Chinese Journal of Plant Ecology, 35(8): 853-863. (in Chinese) |
3 | Cong N, Piao S L, Chen A Pet al., 2012. Spring vegetation green-up date in China inferred from SPOT NDVI data: A multiple model analysis.Agricultural and Forest Meteorology, 165: 104-113. |
4 | Cong N, Wang T, Nan H Jet al., 2013. Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: A multi-method analysis.Global Change Biology, 19(3): 881-891. |
37 | Sun H L, Zheng D, Yao T Det al., 2012. Protection and construction of the national ecological security shelter zone on Tibetan Plateau.Acta Geographica Sinica, 67(1): 3-12. (in Chinese) |
38 | Tang Y H, Wan S Q, He J Set al., 2009. Foreword to the special issue: Looking into the impacts of global warming from the roof of the world.Journal of Plant Ecology, 2(4): 169-171. |
39 | Tucker C J, Pinzon J E, Brown M Eet al., 2005. An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data.International Journal of Remote Sensing, 26(20): 4485-4498. |
40 | White M A, De Beurs K M, Didan Ket al., 2009. Inter-comparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006.Global Change Biology, 15(10): 2335-2359. |
5 | Ding M J, Zhang Y L, Sun X Met al., 2013. Spatiotemporal variation in alpine grassland phenology in the Qinghai-Tibetan Plateau from 1999 to 2009.Chinese Science Bulletin, 58(3): 396-405. |
6 | Fitter A H, Fitter R S R, 2002. Rapid changes in flowering time in British plants.Science, 296(5573): 1689-1691. |
41 | White M A, Nemani R R, Thornton P Eet al., 2002. Satellite evidence of phenological differences between urbanized and rural areas of the eastern United States deciduous broadleaf forest.Ecosystems, 5(3): 260-273. |
42 | White M A, Thornton P E, Running S W, 1997. A continental phenology model for monitoring vegetation responses to inter-annual climatic variability.Global Biogeochemical Cycles, 11(2): 217-234. |
43 | Yu F F, Price K P, Ellis Jet al., 2003. Response of seasonal vegetation development to climatic variations in eastern central Asia.Remote Sensing of Environment, 87(1): 42-54. |
44 | Yu H Y, Luedeling E, Xu J C, 2010. Winter and spring warming result in delayed spring phenology on the Tibetan Plateau.Proceedings of the National Academy of Sciences, 107(51): 22151-22156. |
45 | Yu H Y, Xu J C, Okuto Eet al., 2012. Seasonal response of grasslands to climate change on the Tibetan Plateau.PloS One, 7(11): e49230. |
46 | Zhang G L, Zhang Y J, Dong J Wet al., 2013. Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011.Proceedings of the National Academy of Sciences, 110(11): 4309-4314. |
47 | Zhang X Y, Friedl M A, Schaaf C Bet al., 2003. Monitoring vegetation phenology using MODIS.Remote Sensing of Environment, 84(3): 471-475. |
48 | Zhang X Y, Friedl M A, Schaaf C Bet al., 2004. Climate controls on vegetation phenological patterns in northern mid‐and high latitudes inferred from MODIS data.Global Change Biology, 10(7): 1133-1145. |
49 | Zhang Y L, Li B Y, Zheng D, 2002. A discussion on the boundary and area of the Tibetan Plateau in China.Geographical Research, 21(1): 1-8. (in Chinese) |
50 | Zhang Y L, Qi W, Zhou C Pet al., 2014. Spatial and temporal variability in the net primary production of alpine grassland on the Tibetan Plateau since 1982.Journal of Geographical Sciences, 24(2): 269-287. |
51 | Zheng D, 1996. The system of physico-geographical regions of the Qinghai-Xizang (Tibet) Plateau. Science in China (Series D), 39(4): 410-417. |
52 | Zheng J Y, Ge Q S, Hao Z X, 2002. Impacts of climate warming on plants phenophases in China for the last 40 years.Chinese Science Bulletin, 47(21): 1826-1831. |
53 | Zhong X H, Liu S Z, Wang X Det al., 2006. A research on the protection and construction of the State Ecological Safe Shelter Zone on the Tibet Plateau.Journal of Mountain Science, 24(2): 129-136. (in Chinese) |
54 | 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. |
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