伏牛山地森林植被物候及其对气候变化的响应

doi:10.11821/dlxb201801004

Abstract

Abstract:

The study on vegetation phenology is of great importance to understand the relationship between vegetation and climate. In areas where the vegetation is sensitive to climate change, a phenological study is helpful to reveal the response mechanism of vegetation to climate change. Based on Moderate Resolution Imaging Spectro radiometer (MODIS) Enhanced Vegetation Index (EVI) time-series images from 2000 to 2015, we utilized Savitzky-Golay (S-G) filter and dynamic threshold method to extract the phenological parameters of forest vegetation in the Funiu Mountains. Combining temperature and precipitation data, we used Mann-Kendall (M-K) trend test, Theil-Sen estimator, ANUSPLIN interpolation, and correlation analysis methods to analyze phenological changes of vegetation in response to climate factors (temperature/precipitation) in the Funiu Mountains. The results showed that: (1) The start and end of growing season ranged mainly from 105 d to 120 d and from 285 d to 315 d, respectively. The length of the growth season ranged mainly from 165 d to 195 d. There is an evident correlation between forest phenology and altitude. With increasing altitude, the start, end and length of the growing season presented a significantly delayed, advanced and shortened trend, respectively. (2) In terms of the interannual variations, both the start and end of the growing season mainly displayed a delayed trend in 76.57% and 83.81% of the total area, and the length of the growing season exhibited a lengthened trend of 61.21%. The start of forest growing season is mainly affected by the decrease of spring temperature in the region. (3) A significant correlation was found between the start of growing season and mean temperature in March. The negative correlation coefficient indicated that a delayed start of the growing season was primarily due to the temperature decrease in March. The end of growing season was mainly influenced by September precipitation, and their correlation was positive, that is, the increased precipitation in September can delay the end of the growing season. In addition, the length of the growing season was influenced by temperature and precipitation during the whole growing season, for most parts of the region, the mean temperature and precipitation in August were obviously correlated with the length of forest growing season.

Key words: phenology, temperature and precipitation, Funiu Mountains, forest vegetation, ANUSPLIN

ZHANG Xiaodong,ZHU Wenbo,ZHANG Jingjing,ZHU Lianqi,ZHAO Fang,CUI Yaoping. Phenology of forest vegetation and its response to climate change in the Funiu Mountains[J].Acta Geographica Sinica, 2018, 73(1): 41-53.

References

[1]	Xia J Y, Chen J Q, Piao S L, et al.Terrestrial carbon cycle affected by non-uniform climate warming. Nature Geoscience, 2014, 7(3): 173-180.http://www.nature.com/articles/ngeo2093
[2]	King DA.Climate change science: Adapt, mitigate, or ignore?. Science, 2004, 303(5655): 176-177.http://www.sciencemag.org/cgi/doi/10.1126/science.1094329
[3]	Zhu Z C, Piao S L, Myneni R B, et al.Greening of the Earth and its drivers. Nature Climate Change, 2016, 6(8): 791-795.http://www.nature.com/articles/nclimate3004
[4]	Wang Genxu, Deng Wei, Yang Yan, et al.The advances, priority and developing trend of alpine ecology. Journal of Mountain Science, 2011, 29(2): 129-140.
[4]	[王根绪, 邓伟, 杨燕, 等. 山地生态学的研究进展、重点领域与趋势. 山地学报, 2011, 29(2): 129-140.]http://www.cqvip.com/QK/71135X/201107/37534324.html
[5]	Zhang B P, Yao Y H.Implications of mass elevation effect for the altitudinal patterns of global ecology. Journal of Geographical Sciences, 2016, 26(7): 871-877.http://link.springer.com/10.1007/s11442-016-1303-2
[6]	Kong Dongdong, Zhang Qiang, Huang Wenlin, et al.Vegetation phenology change in Tibetan Plateau from 1982 to 2013 and its related meteorological factors. Acta Geographica Sinica, 2017, 72(1): 39-52.
[6]	[孔冬冬, 张强, 黄文琳, 等. 1982-2013年青藏高原植被物候变化及气象因素影响. 地理学报, 2017, 72(1): 39-52.]http://d.g.wanfangdata.com.cn/Periodical_dlxb201701004.aspx
[7]	Zhu Lianqi, Xu Limin.Analysis of effects of global change on terrestrial ecosystem. Areal Research and Development, 2011, 30(2): 161-164.
[7]	[朱连奇, 许立民. 全球变化对陆地生态系统的影响研究. 地域研究与开发, 2011, 30(2): 161-165.]年度引用
[8]	Mu Shaojie, Li Jianlong, Chen Yizhao, et al.Spatial differences of variations of vegetation coverage in Inner Mongolia during 2001-2010. Acta Geographica Sinica, 2012, 67(9): 1255-1268.
[8]	[穆少杰, 李建龙, 陈奕兆, 等. 2001-2010年内蒙古植被覆盖度时空变化特征. 地理学报, 2012, 67(9): 1255-1268.]http://d.wanfangdata.com.cn/Periodical/dlxb201209010
[9]	Julien Y, Sobrino J A.Global land surface phenology trends from GIMMS database. International Journal of Remote Sensing, 2009, 30(13): 3495-3513.http://www.tandfonline.com/doi/abs/10.1080/01431160802562255
[10]	Liu Q, Fu Y H, Zeng Z Z, et al.Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China. Global Change Biology, 2016, 22(2): 644-655.http://doi.wiley.com/10.1111/gcb.13081
[11]	Ma Xiaofang, Chen Siyu, Deng Jie, et al.Vegetation phenology dynamics and its response to climate change on the Tibetan Plateau. Acta Prataculturae Sinica, 2016, 25(1): 13-21.
[11]	[马晓芳, 陈思宇, 邓婕, 等. 青藏高原植被物候监测及其对气候变化的响应. 草业学报, 2016, 25(1): 13-21.]http://www.cqvip.com/QK/97784X/201601/667739818.html
[12]	Zu Jiaxing, Yang Jian.Temporal variation of vegetation phenology in northeastern China. Acta Ecologica Sinica, 2016, 36(7): 2015-2023.
[12]	[俎佳星, 杨健. 东北地区植被物候时序变化. 生态学报, 2016, 36(7): 2015-2023.]年度引用
[13]	Liu Fei.Temporal-spatial variations of temperature in Chinese inland based on GIS and multivariate statistical method [D]. Lanzhou: Lanzhou University, 2015.
[13]	[刘飞. 基于GIS和多元统计方法的中国大陆气温时空变化研究[D]. 兰州: 兰州大学, 2015.]
[14]	Ge Q S, Wang H J, Rutishauser T, et al.Phenological response to climate change in China: A meta-analysis. Global Change Biology, 2015, 21(1): 265-274.http://doi.wiley.com/10.1111/gcb.2014.21.issue-1
[15]	Zhang Xiaodong, Zhu Wenbo, Cui Yaoping, et al.The response of forest dynamics to hydro-thermal change in Funiu Mountain. Geographical Research, 2016, 35(6): 1029-1040
[15]	[张晓东, 朱文博, 崔耀平, 等. 伏牛山地区森林植被动态变化对水热条件的响应. 地理研究, 2016, 35(6): 1029-1040.]http://www.cqvip.com/QK/95732X/201606/669283395.html
[16]	Ma Jianhua.Laws of soil vertical variations on southern slope of Funiu Mt. : Simultaneous study on north boundary of subtropical zone. Acta Geographica Sinica, 2004, 59(6): 998-1011.
[16]	[马建华. 试论伏牛山南坡土壤垂直分异规律: 兼论亚热带北界的划分. 地理学报, 2004, 59(6): 998-1011.]年度引用
[17]	Fan Yulong, Hu Nan, Ding Shengyan, et al.A study on the classification of plant functional types based on the dominant herbaceous species in forest ecosystem at Funiu Mountain national natural reserve. Acta Ecologica Sinica, 2008, 28(7): 3092-3101.
[17]	[范玉龙, 胡楠, 丁圣彦, 等. 伏牛山自然保护区森林生态系统草本植物功能群的分类. 生态学报, 2008, 28(7): 3092-3101.]http://www.cqvip.com/Main/Detail.aspx?id=27876487
[18]	Zhang Jingjing, Wang Yansong, Zhu Lianqi, et al.Study on change of northern subtropical border in mountainous regions in western Henan province. Journal of Henan University: Natural Science, 2016, 46(1): 40-49.
[18]	[张静静, 王岩松, 朱连奇, 等. 近50年来豫西山地亚热带北界变化分析. 河南大学学报(自然科学版), 2016, 46(1): 40-49.]http://d.wanfangdata.com.cn/Periodical/hndxxbzr201601005
[19]	Ge Quansheng, Zheng Jingyun, Zhang Xuexia, et al.Study of Chinese climate and phenology change in past 40 years. Progress in National Science, 2003, 13(10): 1048-1053.
[19]	[葛全胜, 郑景云, 张学霞, 等. 过去40年中国气候与物候的变化研究. 自然科学进展, 2003, 13(10): 1048-1053.]http://www.cqvip.com/QK/96531A/200310/8460672.html
[20]	Song Chaoshu.Scientific Survey of the Funiu Mountain Nature Reserve. Beijing: China Forestry Publishing House, 1994.
[20]	[宋朝枢. 伏牛山自然保护区科学考察集. 北京: 中国林业出版社, 1994.]
[21]	J?nsson P, Eklundh L.TIMESAT: A program for analyzing time-series of satellite sensor data. Computers & Geosciences, 2004, 30(8): 833-845.
[22]	J?nsson P, Eklundh L.Seasonality extraction by function fitting to time-series of satellite sensor data. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(8): 1824-1832.
[23]	Zhou J H, Cai W T, Qin Y, et al.Alpine vegetation phenology dynamic over 16years and its covariation with climate in a semi-arid region of China. Science of the Total Environment, 2016, 572(2016): 119-128.
[24]	Wang Yan, Tian Qingjiu, Huang Yan, et al.NDVI difference rate recognition model of deciduous broad-leaved forest based on HJ-CCD remote sensing data. Spectroscopy and Spectral Analysis, 2013, 33(4): 1018-1022.
[24]	[王龑, 田庆久, 黄彦, 等. 基于HJ星CCD遥感数据的落叶阔叶林NDVI差值速率识别模型. 光谱学与光谱分析, 2013, 33(4): 1018-1022.]
[25]	Hutchinson M F, Xu T B.Anusplin Version 4.4 User Guide. Canberra: Australian National University, 2013.
[26]	Liu Zhihong, Li Lingtao, McVicar T R, et al. Introduction of the Professional Interpolation Software for Meteorology Data: ANUSPLINN. Meteorological Monthly, 2008, 34(2): 92-100.
[26]	[刘志红, Li Lingtao, Tim R McVicar, 等.专用气候数据空间插值软件ANUSPLIN及其应用. 气象, 2008, 34(2): 92-100.]
[27]	Yu Fei, Zheng Xiaobo, Gu Xiaoping, et al.Comparative study on spatial interpolation of climate elements precision in complex mountainous environment. Journal of Guizhou Meteorology, 2008, 32(3): 3-6.
[27]	[于飞, 郑小波, 谷晓平, 等. 复杂山地环境下气候要素空间插值精度比较研究. 贵州气象, 2008, 32(3): 3-6.]
[28]	Tan Jianbo, Li Ainong, Lei Guangbin.Contrast on Anusplin and Cokriging meteorological spatial interpolation in southeastern margin of Qinghai-Xizang Plateau. Plateau Meteorology, 2016, 35(4): 875-886.
[28]	[谭剑波, 李爱农, 雷光斌. 青藏高原东南缘气象要素Anusplin和Cokriging空间插值对比分析. 高原气象, 2016, 35(4): 875-886.]
[29]	Sen P K.Estimates of the regression coefficient based on Kendall's Tau. Journal of the American Statistical Association, 1968, 63(324): 1379-1389.
[30]	Helsel D R, Frans L M.Regional Kendall test for trend. Environmental Science & Technology, 2006, 40(13): 4066-4073.
[31]	Xia Haoming, Li Ainong, Zhao Wei, et al.Spatiotemporal variations of forest phenology in the Qinling zone based on remote sensing monitoring, 2001-2010. Progress in Geography, 2015, 34(10): 1297-1305.
[31]	[夏浩铭, 李爱农, 赵伟, 等. 2001-2010年秦岭森林物候时空变化遥感监测. 地理科学进展, 2015, 34(10): 1297-1305.]
[32]	Pau S, Wolkovich E M, Cook B I, et al.Predicting phenology by integrating ecology, evolution and climate science. Global Change Biology, 2011, 17(12): 3633-3643.
[33]	Richardson A D, Keenan T F, Migliavacca M, et al.Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agricultural and Forest Meteorology, 2013, 169(3): 156-173.
[34]	Dai J H, Wang H J, Ge Q S.The decreasing spring frost risks during the flow-ering period for woody plants in temperate area of eastern China over past 50 years. Journal of Geographical Sciences, 2013, 23(4): 641-652.
[35]	Cong N, Wang T, Nan H J, 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.
[36]	Tao Z X, Wang H J, Liu Y C.Phenological response of different vegetation types to temperature and precipitation variations in northern China during 1982-2012. International Journal of Remote Sensing, 2017, 38(11): 3236-3252.
[37]	Ji Jinjun, Huang Mei, Liu Qing.Modeling studies of response mechanism of steppe productivity to climate change in middle latitude semiarid regions in China. Acta Meteorologica Sinica, 2005, 63(3): 257-266.
[37]	[季劲钧, 黄玫, 刘青. 气候变化对中国中纬度半干旱草原生产力影响机理的模拟研究. 气象学报, 2005, 63(3): 257-266.]
[38]	Xia J Y, Wan S Q.Independent effects of warming and nitrogen addition on plant phenology in the Inner Mongolian steppe. Annals of Botany, 2013, 111(6): 1207-1217.
[39]	Cui Y P.Preliminary estimation of the realistic optimum temperature for vegetation growth in China. Environmental Management, 2013, 52(1): 151-162.
[40]	Forkel M, Migliavacca M, Thonicke K, et al.Codominant water control on global interannual variability and trends in land surface phenology and greenness. Global Change Biology, 2015, 21(9): 35-3414.
[41]	Gill A L, Gallinat A S, Sanders-Demoot R, et al.Changes in autumn senescence in northern hemisphere deciduous trees: A meta-analysis of autumn phenology studies. Annals of Botany, 2015, 116(6): 875-888.

Phenology of forest vegetation and its response to climate change in the Funiu Mountains

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