[1]管琪卉,丁明军*,张华敏.青藏地区高寒草地春季物候时空变化及其对气候变化的响应[J].山地学报,2019,(05):639-648.[doi:10.16089/j.cnki.1008-2786.000455]
　GUAN Qihui,DING Mingjun*,ZHANG Huamin.Spatiotemporal Variation of Spring Phenology in Alpine Grassland and Response to Climate Changes on the Qinghai-Tibet, China[J].Mountain Research,2019,(05):639-648.[doi:10.16089/j.cnki.1008-2786.000455]
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青藏地区高寒草地春季物候时空变化及其对气候变化的响应()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2019年05期
页码:
639-648
栏目:
山地环境
出版日期:
2019-09-30

文章信息/Info

Title:
Spatiotemporal Variation of Spring Phenology in Alpine Grassland and Response to Climate Changes on the Qinghai-Tibet, China
文章编号:
1008-2786-(2019)5-639-10
作者:
管琪卉1; 丁明军1; 2*; 张华敏1
1. 江西师范大学 地理与环境学院,南昌 330022; 2. 鄱阳湖湿地与流域教育部重点实验室,南昌 330022
Author(s):
GUAN Qihui1;  DING Mingjun1; 2*; ZHANG Huamin1
1.School of Geography and Environment, Jiangxi Normal University, Nanchang 330022,China; 2.Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of Education, Nanchang 330022, China
关键词:
高寒草地;  春季物候;  气候变化;  响应;  青藏地区
Keywords:
alpine grassland;  spring phenology;  climate change;  response;  Qinghai-Tibet
分类号:
Q948.11, P461~A
DOI:
10.16089/j.cnki.1008-2786.000455
摘要:
植被物候是评估全球气候变化的重要指标,掌握其时空变化有利于理解陆地植被生态系统与气候变化间的关系。然而,当前关于青藏高原高寒草地春季物候(生长季始期,Start of Growth Season, SOG)变化趋势及驱动机制方面仍然存在诸多争议。本文基于MODIS-NDVI数据采用动态阈值法和偏相关分析等方法提取并分析青藏地区2000-2015年高寒草地SOG时空变化趋势和空间分异特征,结合同时期气象数据基于像元尺度直观量化其对气候变化响应的空间分布特征。结论如下:(1)2000-2015年青藏地区高寒草地SOG整体上由东南向西北逐渐推迟,同时呈现河谷地区早、高山地区晚的特征;(2)2000年以来青藏地区高寒草地SOG呈明显提前趋势,提前幅度约为0.33 d/a,但在不同的草地类型上存在差异。空间分布上,呈提前趋势的区域主要分布于青海东部、三江源地区,呈推迟趋势的区域主要集中分布于西藏阿里南部等区域;(3)研究时段内青藏地区高寒草地SOG与温度、太阳辐射量及降水量相关性均较明显,但相对于太阳辐射与降水量而言,SOG对气温的响应更为敏感。本研究结论对全球变化背景下植被-气候关系的理解及高原的生态安全建设具有一定的参考意义。
Abstract:
Vegetation phenology is an important indicator of global climate change. And exploring its temporal and spatial dynamics is of great significance in the understanding of the response of terrestrial vegetation ecosystem to climate change. However, there are still controversies about the trend and driving of spring phenology in the alpine grassland of the Qinghai-Tibet, China. Based on MODIS-NDVI data, in this study, it used dynamic threshold method and partial correlation analysis to extract spring phenology(Start of Growth Season, SOG)of alpine grassland in Qinghai-Tibet from 2000 to 2015 and analyzed its temporal and spatial variation. The response characteristics of the SOG for the alpine grassland to climate change were discussed at pixel level combined with meteorological data of the same period. Conclusions were as follows:(1)During the study period, the SOG of the alpine grassland in the Qinghai-Tibet was gradually delayed from southeast to northwest, with a spatial pattern of late in the high mountain areas and early in the valley areas, which clearly reflected the regional differentiation of the climate(e.g., hydrothermal conditions)and topography of the study area;(2)There was a significant advanced trend(P=0.08)in the SOG of alpine grassland in the Qinghai-Tibet(about 0.33 d/a), but there were differences among grassland types. The areas with advanced trend were mainly distributed in the eastern Qinghai and Sanjiangyuan area, China, whereas areas with delayed trend were mainly concentrated in the south of Tibet's Ali area, China;(3)There were significant correlations between the SOG of alpine grassland and temperature, solar radiation and precipitation in the Qinghai-Tibet, China. Temperature was a main factor driving the growth and development of alpine grassland, while the effects of solar radiation and precipitation were relatively weak. This study aims to promote the researches on dynamic change of alpine grassland vegetation and its response to global climate change in the Qinghai-Tibet region since the 21 century, and it also provides a theoretical basis for rational use of grassland resources in the context of climate change. The conclusions of this paper are of great significance in the understanding of vegetation-climate relationship and ecological security construction of the plateau in the context of global change.

参考文献/References:

[1] 何宝忠,丁建丽,李焕,等.新疆植被物候时空变化特征[J].生态学报,2018,38(6):2139-2155. [HE Baozhong, DING Jianli, LI Huan, et al. Spatiotemporal variation of vegetation phenology in Xinjiang from 2001 to 2016[J]. Acta Ecologica Sinica, 2018, 38(6): 2139-2155]
[2] REES M, CONDIT R, CRAWLEY M, et al. Long-term studies of vegetation dynamics[J]. Science, 2001, 293(5530): 650-655.
[3] 李晓婷,陈骥,郭伟.不同气候类型下植物物候的影响因素综述[J].地球环境学报,2018,9(1):16-27. [LI Xiaoting, CHEN Ji, GUO Wei. A review of the influence factors of plant phenology under different climate types[J]. Journal of Earth Environment, 2018, 9(1): 16-27]
[4] 李兰晖.青藏高原气候变化及其对植被物候的影响[D].南昌:江西师范大学,2015:1-73. [LI Lanhui. Climate change and its effect on vegetation phenology over the Tibetan Plateau[D]. Nanchang: Jiangxi Normal University, 2015: 1-73]
[5] 张晓克,杜心栋,鲁旭阳,等.青藏高原高寒草地物候的研究进展[J].遥感技术与应用,2019,34(2):337-344. [ZHANG Xiaoke, DU Xindong, LU Xuyang, et al. A review on alpine grassland phenology on the Tibetan Plateau[J]. Remote Sensing Technology and Application, 2019, 34(2): 337-344]
[6] ZHANG Xiaoyang, FRIEDL M A, SCHAAF C B, et al. Monitoring vegetation phenology using MODIS[J]. Remote Sensing of Environment, 2003, 84(3): 471-475.
[7] 常清.北半球及典型区遥感植被物候提取验证及动态研究[D].北京:中国科学院大学(中国科学院遥感与数字地球研究所),2017:1-96. [CHANG Qing. Validation for phenology metrics from satellite datasets and monitoring phenology dynamics in the Northern hemisphere and typical regions[D]. Beijing: University of Chinese Academy of Sciences(Institute of Remote Sensing and Digital Earth), 2017: 1-96]
[8] 吕新苗,康世昌,朱立平,等.西藏纳木错植物物候及其对气候的响应[J].山地学报,2009,27(6):648-654. [LV Xinmiao, KANG Shichang, ZHU Liping, et al. Phenology characters of dominant plants in the Nam Co basin and its response to climate, Tibet[J]. Mountain Research, 2009, 27(6): 648-654]
[9] CHMIELEWSKI F M, RÖTZER T. Response of tree phenology to climate change across Europe[J]. Agricultural and Forest Meteorology, 2001, 108(2): 101-112.
[10] MA Ting, ZHOU Chenghu. Climate-associated changes in spring plant phenology in China[J]. International Journal of Biometeorology, 2012, 56(2): 269-275.
[11] JEONG S J, HO C H, GIM H J, 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.
[12] 侯小丽,张丽,张炳华,等.青藏高原植被对气候变化响应的研究进展[J].安徽农业科学,2016,44(17):230-235. [HOU Xiaoli, ZHANG Li, ZHANG Binghua, et al. Research progress in responses of vegetation ecosystem to the climate change in Qinghai-Tibetan plateau[J]. Journal of Anhui Agricultural Sciences, 2016, 44(17): 230-235]
[13] 刘正佳,邵全琴,王丝丝.21世纪以来青藏高寒草地的变化特征及其对气候的响应[J].干旱区地理,2015,38(2):275-282. [LIU Zhengjia, SHAO Quanqin, WANG Sisi. Variation of alpine grasslands and its response to climate warming in the Tibetan Plateau since the 21st Century[J]. Arid Land Geography, 2015, 38(2): 275-282]
[14] 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[J].地理学报,2017,72(1):39-52. [KONG Dongdong, ZHANG Qiang, HUANG Wenlin, et al. Vegetation phenology change in Tibetan Plateau from 1982 to 2013 and its related meteorological factors[J]. Acta Geographica Sinica, 2017, 72(1): 39-52]
[15] PIAO Shilong, WANG Xuhui, CIAIS P, et al. Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006[J]. Global Change Biology, 2011, 17(10): 3228-3239.
[16] SHEN Miaogen. Spring phenology was not consistently related to winter warming on the Tibetan Plateau[J]. Proceedings of the National Academy of Sciences of the United States of America, 2011, 108(19): E91-E92.
[17] 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[J].草业学报,2016,25(1):13-21. [MA Xiaofang, CHEN Siyu, DENG Jie, et al. Vegetation phenology dynamics and its response to climate change on the Tibetan Plateau[J]. Acta Prataculturae Sinica, 2016, 25(1): 13-21]
[18] 李强.近12a三江源地区植被物候对水热的响应[J].干旱区研究,2016,33(1):150-158. [LI Qiang. Phenology response of vegetation to hydrothermal condition in three-river source region for the last 12 years[J]. Arid Zone Research, 2016, 33(1): 150-158]
[19] 鲁春霞,王菱,谢高地,等.青藏高原降水的梯度效应及其空间分布模拟[J].山地学报,2007,25(6):655-663.[LU Chunxia, WANG Ling, XIE Gaodi, et al. Altitude effect of precipitation and spatial distribution of Qinghai-Tibetan plateau[J]. Mountain Research, 2007, 25(6): 655-663]
[20] 张镱锂,李炳元,郑度.论青藏高原范围与面积[J].地理研究,2002,21(1):1-8. [ZHANG Yili, LI Bingyuan, ZHENG Du. A discussion on the boundary and area of the Tibetan Plateau in China[J]. Geographical Research, 2002, 21(1): 1-8]
[21] 范德芹,赵学胜,朱文泉,等.植物物候遥感监测精度影响因素研究综述[J].地理科学进展,2016,35(3):304-319. [FAN Deqin, ZHAO Xuesheng, ZHU Wenquan, et al. Review of influencing factors of accuracy of plant phenology monitoring based on remote sensing data[J]. Progress in Geography, 2016, 35(3): 304-319]
[22] 杨琳,高苹,居为民. 基于MODIS NDVI数据的江苏省冬小麦物候期提取[J]. 江苏农业科学, 2016,44(1):315-320. [YANG Lin, GAO Ping, JU Weimin. Extraction of winter wheat phenological period in Jiangsu based on MODIS NDVI data[J]. Jiangsu Agricultural Sciences, 2016, 44(1): 315-320]
[23] HOU Xuehui, GAO Shuai, NIU Zheng, et al. Extracting grassland vegetation phenology in North China based on cumulative SPOT-VEGETATION NDVI data[J]. International Journal of Remote Sensing, 2014, 35(9): 3316-3330.
[24] 耿丽英,马明国.长时间序列NDVI数据重建方法比较研究进展[J].遥感技术与应用,2014,29(2):362-368. [GENG Liying, MA Mingguo. Advance in method comparison of reconstructing remote sensing time series data sets[J]. Remote Sensing Technology and Application, 2014, 29(2): 362-368]
[25] 宋春桥,柯灵红,游松财,等.基于TIMESAT的3种时序NDVI拟合方法比较研究--以藏北草地为例[J].遥感技术与应用,2011,26(2):147-155. [SONG Chunqiao, KE Linghong, YOU Songcai, et al. Comparison of three NDVI time-series fitting methods based on TIMESAT-taking the grassland in northern Tibet as case[J]. Remote Sensing Technology and Application, 2011, 26(2): 147-155]
[26] BIAN Jinhu, LI Ainong, SONG Mengqiang, et al. Reconstruction of NDVI time-series datasets of MODIS based on Savitzky-Golay filter[J]. Journal of Remote Sensing, 2010, 14(4): 725-741.
[27] 周玉科,刘建文.基于MODIS NDVI和多方法的青藏高原植被物候时空特征分析[J].遥感技术与应用,2018,33(3):486-498. [ZHOU Yuke, LIU Jianwen. Spatio-temporal analysis of vegetation phenology with multiple methods over the Tibetan Plateau based on MODIS NDVI data[J]. Remote Sensing Technology and Application, 2018, 33(3): 486-498]
[28] 常清,王思远,孙云晓,等.青藏高原典型植被生长季遥感模型提取分析[J].地球信息科学学报,2014,16(5):815-823. [CHANG Qing, WANG Siyuan, SUN Yunxiao, et al. The remote sensing monitoring model of the typical vegetation phenology in the Qinghai-Tibetan Plateau[J]. Journal of Geo-Information Science, 2014, 16(5): 815-823]
[29] DING Mingjun, LI Lanhui, ZAHNG Yili, et al. Start of vegetation green season on the Tibetan Plateau inferred from multiple methods based on GIMMS and SPOT NDVI data[J]. Science Press, 2015, 25(2): 131-148.
[30] 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, 2013, 110(11): 4309-4314.
[31] 朱艺旋,张扬建,俎佳星,等.基于 MODIS NDVI,SPOT NDVI 数的 GIMMS NDVI 性能评价[J].应用生态学报,2019,30(2):536-544. [ZHU Yixuan, ZHANG Yangjian, ZU Jiaxing, et al. Performance evaluation of GIMMS NDVI based on MODIS NDVI and SPOT NDVI data[J]. Chinese Journal of Applied Ecology, 2019, 30(2): 536-544]
[32] 刘双俞,张丽,王翠珍,等.基于 MODIS 数据的青藏高原植被物候变化趋势研究(2000-2010年)[J].遥感信息,2014,29(6):25-30. [LIU Shuangyu, ZHANG Li, WANG Cuizhen, et al. Vegetation phenology in the Tibetan Plateau using MODIS data from 2000 to 2010[J]. Remote Sensing Information, 2014, 29(6): 25-30]
[33] 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[J].科学通报,2012,57(33):3185-3194. [DING Mingjun, ZHANG Yili, SUN Xiaomin, et al. Spatiotemporal variation in alpine grassland phenology in the Qinghai-Tibetan Plateau from 1999 to 2009[J]. Chinese Science Bulletin, 2012, 57(33): 3185-3194]
[34] 孟凡栋,斯确多吉,崔树娟,等.青藏高原植物物候的变化及其影响[J].自然杂志,2017,39(3):184-190. [MENG Fandong, TSECHOE Dorji, CUI Shujuan, et al. Changes of plant phenophases and their effects on the Qinghai-Tibetan Plateau[J]. Chinese Journal of Nature, 2017, 39(3): 184-190]
[35] 韩熠哲,马伟强,王炳赟,等.青藏高原近30年降水变化特征分析[J].高原气象,2017,36(6):1477-1486. [HAN Yizhe, MA Weiqiang, WANG Bingyun, et al. Climatic characteristics of rainfall change over the Qinghai-Tibetan Plateau from 1980 to 2013[J]. Plateau Meteorology, 2017, 36(6): 1477-1486]
[36] 王青霞,吕世华,鲍艳,等.青藏高原不同时间尺度植被变化特征及其与气候因子的关系分析[J].高原气象,2014,33(2):301-312. [WANG Qingxia, LV Shihua, BAO Yan, et al. Characteristics of vegetation change and its relationship with climate factors in different Time-Scales on Qinghai-Xizang plateau[J]. Plateau Meteorology, 2014, 33(2): 301-312]
[37] 王力,张强.近20年青藏高原典型高寒草甸化草原植物物候变化特征[J].高原气象,2018,37(6):1528-1534. [WANG Li, ZHANG Qiang. Analysis of phytogeographic characteristics of typical alpine grassland steppe in Qinghai-Tibetan Plateau recently 20 years[J]. Plateau Meteorology, 2018, 37(6): 1528-1534]
[38] 付阳阳.柴达木盆地植被物候时空变化及其对气候变化的响应[D].石家庄:河北师范大学,2017:1-40. [FU Yangyang. The spatial and temporal variations of vegetation phenology and its response to climate change in qaidam basin[D]. Shijiazhuang: Hebei Normal University, 2017: 1-40]

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备注/Memo

备注/Memo:
收稿日期(Received date):2019-01-16; 改回日期(Accepted date):2019-08-23
基金项目(Foundation item):中国科学院战略性先导科技专项资助(XDA20040201); 国家自然科学基金项目(41761144081)。[Strategic Priority Research Program of Chinese Academy of Sciences(XDA20040201); National Natural Science Foundation of China(41761144081)]
作者简介(Biography):管琪卉(1995-),女,江西赣州人,硕士研究生,主要研究方向:土地利用/覆被变化研究。[GUAN Qihui(1995-), female, born in Ganzhou, Jiangxi province, M.Sc. candidate, research on land use/cover change] E-mail: 937245892@qq.com
更新日期/Last Update: 2019-09-30