1982-2013年青藏高原植被物候变化及气象因素影响

doi:10.11821/dlxb201701004

Abstract

Abstract:

Using NDVI3g vegetation index, we defined 18 phenological metrics to investigate phenology change in the Tibetan Plateau (TP). Considering heterogeneity of vegetation phenology, we divided TP into 8 vegetation clusters according to 1:1000000 vegetation cluster map. Using partial least regression (PLS) method, we investigated impacts of climate variables such as temperature, precipitation and solar radiation on vegetation phenology. Results indicated that: (1) Turning points of the date of the start of growing season (SOS) metrics are mainly observed during 1997-2000, before which SOS advanced 2-3 d/a. Turning points of the date of the end of growing season (EOS) and length of growing season (LOS) metrics are found during 2005 and 2004-2007, respectively. Before the turning point, EOS has a delayed tendency of 1-2 d/10a, and LOS has a lengthening tendency of 1-2 d/10a. After the turning point, the tendency of SOS and EOS metrics is questionable. Meanwhile, lengthening of LOS is not statistically significant; (2) Alpine meadows and alpine shrub meadows are subject to the most remarkable changes. Lengthening LOS of alpine meadow is mainly due to advanced SOS and delayed EOS. Nevertheless, lengthening LOS of alpine shrub meadow is attributed mainly to advanced SOS; (3) Using PLS method, we quantified impacts of meteorological variables such as temperature, precipitation and solar radiation on phenology changes of alpine meadows and alpine shrub meadows, indicating that temperature is the dominant meteorological factor affecting vegetation phenology. In these two regions, autumn of last year and early winter temperature of last year have a positive effect on SOS. Firstly, increased temperature in this period would postpone last year's EOS, and hence indirectly delay SOS of the current year; Secondly, warming autumn and early winter have the potential to negatively impact fulfilment of chilling requirements, leading to delay of SOS. Except summer, minimum temperature has a similar effect on vegetation phenology, when compared to average and maximum temperature. Furthermore, precipitation effects on phenology fluctuate widely across different months. Precipitation of the autumn and winter/spring of the last year has a negative/positive effect on SOS. Besides, precipitation acts as the key driver constraining vegetation growth in August, during which precipitation has a positive impact on EOS. Therefore, solar radiation can exert impacts on vegetation phenology mainly during summer and early fall. Our research will provide a scientific support for the improvement of vegetation phenology model.

Key words: phenology, Tibetan Plateau, NDVI3g, PLS

Dongdong KONG, Qiang ZHANG, Wenlin HUANG, Xihui GU. Vegetation phenology change in Tibetan Plateau from 1982 to2013 and its related meteorological factors[J].Acta Geographica Sinica, 2017, 72(1): 39-52.

Figures/Tables 7

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

References 32

[1]	Zhang Xuexia, Ge Quanshen, Zheng Jingyun.Relationships between climate change and vegetation in Beijing using remote sensed data and phenological data. Acta Phytoecologica Sinica, 2004, 28(4): 499-506.
	[张学霞, 葛全胜, 郑景云. 北京地区气候变化和植被的关系: 基于遥感数据和物候资料的分析. 植物生态学报, 2004, 28(4): 499-506.]
[2]	Lu Peiling, Yu Qiang, He Qingtang.Responses of plant phenology to climatic change. Acta Ecologica Sinica, 2006, 26(3): 923-929.
	[陆佩玲, 于强, 贺庆棠. 植物物候对气候变化的响应. 生态学报, 2006, 26(3): 923-929.]
[3]	Zhang G, Zhang Y, Dong J, et al.Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011. Proceedings of the National Academy of Sciences, 2013, 110(11): 4309-4314.
[4]	Ding Mingjun, Zhang Yili, Sun Xiaomin, et al.Spatiotemporal variation in alpine grassland phenology in the Qinghai-Tibetan Plateau from 1999 to 2009. Chinese Science Bulletin, 2012, 57(33): 3185-3194.
	[丁明军, 张镱锂, 孙晓敏, 等. 近10年青藏高原高寒草地物候时空变化特征分析. 科学通报, 2012, 57(33): 3185-3194.]
[5]	Shen M.Spring phenology was not consistently related to winter warming on the Tibetan Plateau. Proceedings of the National Academy of Sciences, 2011, 108(19): E91-E92. doi: 10.1073/pnas.1018390108 pmid: 21482816
[6]	Yu H, Luedeling E, Xu J.Winter and spring warming result in delayed spring phenology on the Tibetan Plateau. Proceedings of the National Academy of Sciences, 2010, 107(51): 22151-22156. doi: 10.1073/pnas.1012490107 pmid: 21115833
[7]	Shen M, Sun Z, Wang S, et al.No evidence of continuously advanced green-up dates in the Tibetan Plateau over the last decade. Proceedings of the National Academy of Sciences, 2013, 110(26): E2329. doi: 10.1073/pnas.1304625110 pmid: 23661054
[8]	Cong N, Wang T, Nan H, 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. Global Change Biology, 2013, 19(3): 881-891. doi: 10.1111/gcb.12077 pmid: 23504844
[9]	Shen M, Tang Y, Chen J, et al.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, 2011, 151(12): 1711-1722. doi: 10.1016/j.agrformet.2011.07.003
[10]	Shen M, Piao S, Chen X, et al.Strong impacts of daily minimum temperature on the green-up date and summer greenness of the Tibetan Plateau. Global Change Biology, 2016, 22(9): 3057-3066. doi: 10.1111/gcb.13301 pmid: 27103613
[11]	Buitenwerf R, Rose L, Higgins S I.Three decades of multi-dimensional change in global leaf phenology. Nature Climate Change, 2015, 5(4): 364-368. doi: 10.1038/nclimate2533
[12]	Garonna I, de Jong R, de Wit A J W, et al. Strong contribution of autumn phenology to changes in satellite-derived growing season length estimates across Europe (1982-2011). Global Change Biology, 2014, 20(11): 3457-3470. doi: 10.1111/gcb.12625 pmid: 24797086
[13]	Liu Q, Fu Y H, Zeng Z, et al.Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China. Global Change Biology, 2016, 22(2): 644-655. doi: 10.1111/gcb.13081 pmid: 26340580
[14]	He Jie, Yang Kun.China Meteorological Forcing Dataset. Lanzhou: Cold and Arid Regions Science Data Center at Lanzhou, 2011.
	[何杰, 阳坤. 中国区域高时空分辨率地面气象要素驱动数据集. 兰州: 寒区旱区科学数据中心, 2011.]
[15]	Editorial Board of the Vegetation Atlas of China, Chinese Academy of Sciences. Vegetation Atlas of China .Beijing:Science Press, 2001.
	[中国科学院中国植被图编辑委员会. 中国植被图集 . 北京: 科学出版社, 2001.]
[16]	Hou Xueyu.Vegetation Geography and the Chemical Composition of Its Dominant Plants. Beijing: Science Press, 1982.
	[侯学煜. 中国植被地理及优势植物化学成分. 北京: 科学出版社, 1982.]
[17]	Filippa G, Cremonese E, Migliavacca M, et al.Phenopix: A R package for image-based vegetation phenology. Agricultural and Forest Meteorology, 2016, 220: 141-150. doi: 10.1016/j.agrformet.2016.01.006
[18]	White M A, de Beurs K M, Didan K, et al. Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006. Global Change Biology, 2009, 15(10): 2335-2359. doi: 10.1111/j.1365-2486.2009.01910.x
[19]	Shen M, Zhang G, Cong N, et al. Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai-Tibetan Plateau. Agricultural and Forest Meteorology, 2014, 189/190: 71-80. doi: 10.1016/j.agrformet.2014.01.003
[20]	Kline M.Calculus: An Intuitive and Physical Approach. 2nd ed. Dover Publications, 1998.
[21]	Gu L, Post W M, Baldocchi D D, et al.Characterizing the Seasonal Dynamics of Plant Community Photosynthesis across a Range of Vegetation Types. Springer New York, 2009: 35-58. doi: 10.1007/978-1-4419-0026-5_2
[22]	Hou Meiting, Hu Wei, Qiao Hailong, et al.Application of Partial Least Squares (PLS) regression method in attribution of vegetation change in eastern China. Journal of Natural Resources, 2015, 30(3): 409-422. doi: 10.11849/zrzyxb.2015.03.005
	[侯美亭, 胡伟, 乔海龙, 等. 偏最小二乘(PLS)回归方法在中国东部植被变化归因研究中的应用. 自然资源学报, 2015, 30(3): 409-422.] doi: 10.11849/zrzyxb.2015.03.005
[23]	Wold S, Sjostrom M, Eriksson L.PLS-regression: A basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 2001, 58(2): 109-130. doi: 10.1016/S0169-7439(01)00155-1
[24]	Fridley J D.Extended leaf phenology and the autumn niche in deciduous forest invasions. Nature, 2012, 485(7398): 359-362. doi: 10.1038/nature11056 pmid: 22535249
[25]	Piao S, Cui M, Chen A, et al.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, 2011, 151(12): 1599-1608. doi: 10.1016/j.agrformet.2011.06.016
[26]	Shen M, Piao S, Dorji T, et al.Plant phenological responses to climate change on the Tibetan Plateau: Research status and challenges. National Science Review, 2016, 2(4): 454-467.
[27]	Che M, Chen B, Innes J L, et al. Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai-Tibetan Plateau from 1982to 2011.Agricultural and Forest Meteorology, 2014, 189/190: 81-90. doi: 10.1016/j.agrformet.2014.01.004
[28]	Wang Lianxi, Chen Huailing, Li Qi, et al.Research advances in plant phenology and climate. Acta Ecologica Sinica, 2010, 30(2): 447-454.
	[王连喜, 陈怀亮, 李琪, 等.植物物候与气候研究进展. 生态学报. 2010, 30(2): 447-454.]
[29]	Zhang Fuchun.Effects of global warming on plant phonological events in China. Acta Geographica Sinica, 1995, 50(5): 402-410. doi: 10.1088/0256-307X/12/7/010
	[张福春. 气候变化对中国木本植物物候的可能影响. 地理学报, 1995, 50(5): 402-410.] doi: 10.1088/0256-307X/12/7/010
[30]	Guo L, Dai J, Wang M, et al.Responses of spring phenology in temperate zone trees to climate warming: A case study of apricot flowering in China. Agricultural and Forest Meteorology, 2015, 201: 1-7. doi: 10.1016/j.agrformet.2014.10.016
[31]	Luedeling E, Gassner A.Partial Least Squares Regression for analyzing walnut phenology in California.Agricultural and Forest Meteorology, 2012, 158/159: 43-52. doi: 10.1016/j.agrformet.2011.10.020
[32]	Shen M, Piao S, Cong N, et al.Precipitation impacts on vegetation spring phenology on the Tibetan Plateau. Global Change Biology, 2015, 21(10): 3647-3656. doi: 10.1111/gcb.12961 pmid: 25926356

Vegetation phenology change in Tibetan Plateau from 1982 to2013 and its related meteorological factors

RichHTML

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 7

References 32

Related Articles 15

Metrics

Comments

[1]	FENG Yuxue, LI Guangdong. Interaction between urbanization and eco-environment in Tibetan Plateau [J]. Acta Geographica Sinica, 2020, 75(7): 1386-1405.
[2]	TAO Zexing, GE Quansheng, WANG Huanjiong. Spatio-temporal variations in the thermal requirement of the first flowering dates of Salix babylonica and Ulmus pumila in China during 1963-2018 [J]. Acta Geographica Sinica, 2020, 75(7): 1451-1464.
[3]	QI Wei, LIU Shenghe, ZHOU Liang. Regional differentiation of population in Tibetan Plateau: Insight from the "Hu Line" [J]. Acta Geographica Sinica, 2020, 75(2): 255-267.
[4]	LIU Yujie, GE Quansheng, DAI Junhu. Research progress in crop phenology under global climate change [J]. Acta Geographica Sinica, 2020, 75(1): 14-24.
[5]	ZHOU Yuke. Analysis of controlling factors for vegetation productivity in Northeast China [J]. Acta Geographica Sinica, 2020, 75(1): 53-67.
[6]	GAO Xing, KANG Shichang, LIU Qingsong, CHEN Pengfei, DUAN Zongqi. Magnetic characteristics of Qiangyong Co Lake sediments, southern Tibetan Plateau and its environmental significance during 1899-2011 [J]. Acta Geographica Sinica, 2020, 75(1): 68-81.
[7]	FAN Keke, ZHANG Qiang, SUN Peng, SONG Changqing, YU Huiqian, ZHU Xiudi, SHEN Zexi. Effect of soil moisture variation on near-surface air temperature over the Tibetan Plateau [J]. Acta Geographica Sinica, 2020, 75(1): 82-97.
[8]	GUO Chao,MENG Hongwei,MA Yuzhen,LI Dandan,HU Caili,LIU Jierui,LUO Congwen,WANG Kai. Environmental variations recorded by chemical element in the sediments of Lake Yamzhog Yumco on the southern Tibetan Plateau over the past 2000 years [J]. Acta Geographica Sinica, 2019, 74(7): 1345-1362.
[9]	Li ZHUO, Ziyan ZHANG, Xiaoyu LEI, Qiuping LI, Haiyan TAO. Monte Carlo survival analysis on the influencing factors of forest phenology in Northeast China [J]. Acta Geographica Sinica, 2019, 74(3): 490-503.
[10]	Keke FAN, Qiang ZHANG, Peng SUN, Changqing SONG, Xiudi ZHU, Huiqian YU, Zexi SHEN. Variation, causes and future estimation of surface soil moisture on the Tibetan Plateau [J]. Acta Geographica Sinica, 2019, 74(3): 520-533.
[11]	FAN Keke,ZHANG Qiang,SHI Peijun,SUN Peng,YU Huiqian. Evaluation of remote sensing and reanalysis soil moisture products on the Tibetan Plateau [J]. Acta Geographica Sinica, 2018, 73(9): 1778-1791.
[12]	WANG Chenzhi,ZHANG Zhao,ZHANG Jing,TAO Fulu,CHEN Yi,DING Hu. The effect of terrain factors on rice production: A case study in Hunan Province [J]. Acta Geographica Sinica, 2018, 73(9): 1792-1808.
[13]	YU Yang,WANG Xianyan,LI Yiquan,DAI Yan,LU Huayu. The evolution of drainage pattern and its relation to tectonic movement in the upstream Yangtze catchment [J]. Acta Geographica Sinica, 2018, 73(7): 1338-1352.
[14]	QIN Ya,LIU Yujie,GE Quansheng. Spatiotemporal variations in maize phenology of China under climate change from 1981 to 2010 [J]. Acta Geographica Sinica, 2018, 73(5): 906-916.
[15]	QI Miaomiao,YAO Xiaojun,LI Xiaofeng,AN Lina,GONG Peng,GAO Yongpeng,LIU Juan. Spatial-temporal characteristics of ice phenology of Qinghai Lake from 2000 to 2016 [J]. Acta Geographica Sinica, 2018, 73(5): 932-944.