2000—2016年藏北高原降水对植被覆盖的影响

doi:10.11733/j.issn.1007-0435.2022.03.025

草地学报 ›› 2022, Vol. 30 ›› Issue (3): 721-730.DOI: 10.11733/j.issn.1007-0435.2022.03.025

• 研究论文 • 上一篇

2000—2016年藏北高原降水对植被覆盖的影响

曹亚楠¹, 孙明翔¹, 陈梦冉¹, 何永涛^2,3, 宋宏利¹

1. 河北工程大学, 地球科学与工程学院, 河北邯郸 056038;
2. 中国科学院地理科学与资源研究所, 生态网络观测与模拟重点实验室, 拉萨高原生态试验站, 北京 100101;
3. 中国科学院大学资源与环境学院, 北京 100049

收稿日期:2021-08-16 修回日期:2021-10-18 发布日期:2022-03-30
通讯作者: 何永涛,E-mail:heyt@igsnrr.ac.cn
作者简介:曹亚楠(1990-),女,汉族,河北邯郸人,讲师,博士,主要从事全球变化生态学研究,E-mail:yanan1990321@163.com
基金资助:
中国科学院战略性先导科技专项(A类)(编号XDA20010201，XDA19050502)；第二次青藏高原综合科学考察研究项目(编号2019QZKK1006)；河北工程大学创新基金项目(编号SJ2101003039)共同资助

Effects of Precipitation on the Vegetation Coverage in the Northern Tibetan Plateau from 2000 to 2016

CAO Ya-nan¹, SUN Ming-xiang¹, CHEN Meng-ran¹, HE Yong-tao^2,3, SONG Hong-li¹

1. Hebei University of Engineering, School of Earth Science and Engineering, Handan, Hebei Province 056038, China;
2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Ecosystem Network Observation and Modelling, Lhasa Plateau Ecosystem Research Station, Beijing 100101, China;
3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2021-08-16 Revised:2021-10-18 Published:2022-03-30

摘要/Abstract

摘要： 探讨降水变化对藏北高原植被生长状况的影响，对于维护当地生态系统稳定以及区域可持续发展来说具有重要意义。本研究利用2000—2016年MODIS-NDVI遥感数据分析藏北高原植被覆盖的时空变化状况，并利用气象数据计算生长季降水、非生长季降水、降水集度(Precipitation concentrated index,PCI)和降水重心(Precipitation centroid,PC)指数，说明藏北高原降水格局的时空变化，在此基础上，探讨降水变化对植被覆盖状况的影响。结果表明：藏北高原的植被覆盖度呈由西向东递增的趋势，中部和东南部地区的植被覆盖度下降，而北部和西部地区植被覆盖度呈增加趋势；藏北高原降水年际波动较大，除藏北高原东部和西南边缘地区外，其余地区降水常年分布不均匀，降水主要集中在生长季，降水重心大致分布在6—8月间，且中南部有推迟趋势；藏北地区植被覆盖度主要受生长季降水的影响，生长季降水与植被覆盖度呈显著正相关，而非生长季降水、PC和PCI对植被覆盖度的影响并不显著。

关键词: 藏北高原, 降水变化, 植被覆盖度, 归一化植被指数, 降水集度

Abstract: It is of great significance for maintaining the stability of the local ecosystem and regional sustainable development to explore the effect of precipitation change on vegetation growth in the northern Tibetan Plateau. In this study,we used MODIS-NDVI remote sensing data from 2000 to 2016 to analyze the spatiotemporal changes of vegetation coverage in the northern Tibetan Plateau,and calculated growing season total precipitation,non-growing season total precipitation,precipitation concentration index (PCI),and precipitation centroid (PC) by meteorological data to illustrate the spatiotemporal changes of precipitation pattern in the northern Tibetan Plateau. On this basis,the influence of precipitation variation on the vegetation coverage was discussed. The results showed that the vegetation coverage increased from west to east in the northern Tibetan Plateau. The vegetation coverage decreased in the central and southeastern regions,but increased in the northern and western regions. The inter-annual fluctuation of precipitation in the northern Tibetan Plateau was great. Except for the eastern and southwestern edge regions,precipitation in other regions was not evenly distributed throughout the year,with the significant seasonal distribution. Precipitation was mainly concentrated in the growing season,and the precipitation center was roughly distributed between June and August,with a tendency of delay in the central and southern regions. In the northern Tibetan Plateau,total precipitation in the growing season was the dominant factor affecting vegetation coverage,which had a significant positive correlation with vegetation coverage,while non-growing season total precipitation,PC,and PCI had no significant effect on vegetation coverage.

Key words: Northern Tibetan Plateau, Precipitation variability, Vegetation coverage, NDVI, Precipitation concentration index

中图分类号:

S812

曹亚楠, 孙明翔, 陈梦冉, 何永涛, 宋宏利. 2000—2016年藏北高原降水对植被覆盖的影响[J]. 草地学报, 2022, 30(3): 721-730.

CAO Ya-nan, SUN Ming-xiang, CHEN Meng-ran, HE Yong-tao, SONG Hong-li. Effects of Precipitation on the Vegetation Coverage in the Northern Tibetan Plateau from 2000 to 2016[J]. Acta Agrestia Sinica, 2022, 30(3): 721-730.

0
/ / 推荐

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://manu40.magtech.com.cn/Jweb_cdxb/CN/10.11733/j.issn.1007-0435.2022.03.025

https://manu40.magtech.com.cn/Jweb_cdxb/CN/Y2022/V30/I3/721

参考文献

[1] 段克勤,姚檀栋,王宁练,等. 青藏高原南北降水变化差异研究[J]. 冰川冻土,2008(5):726-732
[2] HILKER T,LYAPUSTIN A I,TUCKER C J,et al. Vegetation dynamics and rainfall sensitivity of the Amazon[J]. Proc Natl Acad Sci USA,2014,111(45):16041-16046
[3] 王志鹏,张宪洲,何永涛,等. 2000—2015年青藏高原草地归一化植被指数对降水变化的响应[J]. 应用生态学报,2018,29(1):75-83
[4] 张晓克,孟宏志. 1998-2018年藏北申扎县植被NDVI时空变化及其影响因素[J]. 草地学报,2021,29(11):2513-2522
[5] 张思源,聂莹,张海燕,等. 基于地理探测器的内蒙古植被NDVI时空变化与驱动力分析[J]. 草地学报,2020,28(5):1460-1472
[6] SLOAT L L,GERBER J S,SAMBERG L H,et al. Increasing importance of precipitation variability on global livestock grazing lands[J]. Nature Climate Change,2018,8(3):214-218
[7] 王志鹏,张宪洲,何永涛,等. 降水变化对藏北高寒草原化草甸降水利用效率及地上生产力的影响[J]. 应用生态学报,2018,29(6):1822-1828
[8] 黄晚华,隋月,杨晓光,等. 气候变化背景下中国南方地区季节性干旱特征与适应ⅤI.南方地区季节性干旱特征分区和评述[J]. 应用生态学报,2013,24(10):2917-2925
[9] PETRIE M D,PETERS D,JIN Y,et al. Regional grassland productivity responses to precipitation during multiyear above and below-average rainfall periods[J]. Global Change Biology,2018,24(5):1935-1951
[10] MEYER W B,TURNER B L. Human Population Growth and Global Land-Use/Cover Change[J]. Annual Review of Ecology and Systematics,1992,23(1):39-61
[11] SHAOJIE M U,YANG H,JIANLONG L I,et al. Spatio-temporal dynamics of vegetation coverage and its relationship with climate factors in Inner Mongolia,China[J]. Journal of Geographical Science,2013,23(2):231-246
[12] 张翀,任志远,袁鑫. 西北地区NDVI对水热条件年内变化的响应及其空间特征[J]. 资源科学,2011,33(12):2356-2361
[13] 何月,樊高峰,张小伟,等. 浙江省植被NDVI动态及其对气候的响应[J]. 生态学报,2012,32(14):4352-4362
[14] 王涛,沈渭寿,欧阳琰,等. 1982-2010年西藏草地生长季NDVI时空变化特征[J]. 草地学报,2014,22(1):46-51
[15] 底阳平,张扬建,曾辉,等. “亚洲水塔”变化对青藏高原生态系统的影响[J]. 中国科学院院刊,2019,34(11):1322-1331
[16] 孙鸿烈,郑度,姚檀栋,等. 青藏高原国家生态安全屏障保护与建设[J]. 地理学报,2012,67(1):3-12
[17] PIAO S,SITCH S,CIAIS P,et al. Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO₂ trends[J]. Global Change Biology,2013,19(7):2117-2132
[18] CHEN H,ZHU Q,PENG C,et al. The impacts of climate change and human activities on biogeochemical cycles on the Qinghai-Tibetan Plateau[J]. Global Change Biology,2013,19(10):2940-2955
[19] LIN L,YANG S,WANG Z Y,et al. Evidence of warming and wetting climate over the Qinghai-Tibet Plateau[J]. Arctic Antarctic and Alpine Research,2010,42(4):449-457
[20] 陈德亮,徐柏青,姚檀栋,等. 青藏高原环境变化科学评估:过去、现在与未来[J]. 科学通报,2015,60(32):3025-3035
[21] CONG N,SHEN M,YANG W,et al. Varying responses of vegetation activity to climate changes on the Tibetan Plateau grassland[J]. International Journal of Biometeorology,2017,61(8):1433-1444
[22] GAO Q,GUO Y,XU H,et al. Climate change and its impacts on vegetation distribution and net primary productivity of the alpine ecosystem in the Qinghai-Tibetan Plateau[J]. Science of the Total Environment,2016,554-555(1):34-41
[23] 陆晴,吴绍洪,赵东升. 1982—2013年青藏高原高寒草地覆盖变化及与气候之间的关系[J]. 地理科学,2017,37(2):292-300
[24] 丁佳,刘星雨,郭玉超,等. 1980—2015年青藏高原植被变化研究[J]. 生态环境学报,2021,30(2):288-296
[25] 王福成,赵彦玲,马素洁,等. 基于MODIS影像的藏北草地植被覆盖度时空变化趋势分析[J]. 高原农业,2020,4(4):399-404,439
[26] 曹旭娟,干珠扎布,梁艳,等. 基于NDVI的藏北地区草地退化时空分布特征分析[J]. 草业学报,2016,25(3):1-8
[27] SHI C,HUTCHINSON S M,XU S. Evaluation of coastal zone sustainability:an integrated approach applied in Shanghai Municipality and Chong Ming Island[J]. Journal of Environmental Management,2004,71(4):335-344
[28] TAO J,ZHANG Y J,DONG J W,et al. Elevation-dependent relationships between climate change and grassland vegetation variation across the Qinghai-Xizang Plateau[J]. International Journal of Climatology,2015,35(7):1638-1647
[29] ZHANG B H,ZHANG L,XIE D,et al. Application of Synthetic NDVI Time Series Blended from Landsat and MODIS Data for Grassland Biomass Estimation[J]. Remote Sensing,2016,8(1):10
[30] MENG B P,GE J,LIANG T G,et al. Evaluation of Remote Sensing Inversion Error for the Above-Ground Biomass of Alpine Meadow Grassland Based on Multi-Source Satellite Data[J]. Remote Sensing,2017,9(4):372-390
[31] JUSTICE C O,HOLBEN B N,GWYNNE M D. Monitoring East African vegetation using AVHRR data[J]. International Journal of Remote Sensing,1986,7(11):1453-1474
[32] SYMEONAKIS E,HIGGINBOTTOM T P. Bush encroachment monitoring using multi-temporal Landsat data and random forests[C]//The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences.Toronto:2014 Isprs Technical Commission IISymposium,2014:29-35
[33] PIAO S L,FANG J Y,HE J S. Variations in vegetation net primary production in the Qinghai-Xizang Plateau,China,from 1982 to 1999[J]. Climatic Change,2006,74(1-3):253-267
[34] GUTMAN G,IGNATOV A. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models[J]. International Journal of Remote Sensing,1998,19(8):1533-1543
[35] 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[J]. 地理学报,2012,67(9):1255-1268
[36] LUIS M DE,RAVENTOS J,GONZALEZHIDALGO J C,et al. Spatial analysis of rainfall trends in the region of Valencia(East Spain)[J]. International Journal of Climatology,2000,20(12):1451-1469
[37] OLIVER J E. Monthly precipitation distribution:A comparative index[J]. The Professional Geographer,1980,32(3):300-309
[38] 拉巴,拉珍,拉巴卓玛,等. 2000—2018年那曲市植被NDVI变化及气候变化响应[J]. 山地学报,2019,37(4):499-507
[39] 张核真,路红亚,洪健昌,等. 藏西北地区气候变化及其对草地畜牧业的影响[J]. 干旱区研究,2013,30(2):308-314
[40] XU H J,WANG X P,ZHANG X X. Alpine grasslands response to climatic factors and anthropogenic activities on the Tibetan Plateau from 2000 to 2012[J]. Ecological Engineering,2016(92):251-259
[41] 曹亚楠,武建双,张宪洲,等. 藏北高原高寒草地草畜平衡评估方法比较(英文)[J]. Journal of Resources and Ecology,2020,11(3):272-282
[42] 李亚楠,张丽,廖静娟,等. 藏北中部地区草地退化遥感监测[J]. 遥感技术与应用,2013,28(6):1069-1075
[43] 韩炳宏,周秉荣,颜玉倩,等. 2000-2018年间青藏高原植被覆盖变化及其与气候因素的关系分析[J]. 草地学报,2019,27(6):1651-1658
[44] CAO Y N,WU J S,ZHANG X F,et al. Dynamic forage-livestock balance analysis in alpine grasslands on the Northern Tibetan Plateau[J]. Journal of Environmental Management,2019,238(3):352-359
[45] 丁佳,刘星雨,郭玉超,等. 1980—2015年青藏高原植被变化研究[J]. 生态环境学报,2021,30(2):288-296
[46] 杨秀海,卓嘎,罗布. 藏北高原气候变化与植被生长状况[J]. 草业科学,2011,28(4):626-630
[47] 徐兴奎,陈红,LEVY J K. 气候变暖背景下青藏高原植被覆盖特征的时空变化及其成因分析[J]. 科学通报,2008,53(4):456-462
[48] GUO Q,HU Z,LI S,et al. Contrasting responses of gross primary productivity to precipitation events in a water-limited and a temperature-limited grassland ecosystem[J]. Agricultural and Forest Meteorology,2015(214-215):169-177

2000—2016年藏北高原降水对植被覆盖的影响

Effects of Precipitation on the Vegetation Coverage in the Northern Tibetan Plateau from 2000 to 2016

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	肖云飞, 陈文业, 王斌杰, 谈嫣蓉, 邴丹珲, 朱丽, 刘鸿源. 祁连山国家级自然保护区土地利用时空变化及与气候因子关系研究[J]. 草地学报, 2021, 29(9): 2049-2057.
[2]	顾锡羚, 郭恩亮, 银山, 王永芳, 那仁满都拉, 万志强. 干旱对内蒙古植被生长的累积与滞后影响评估研究[J]. 草地学报, 2021, 29(6): 1301-1310.
[3]	宋奇, 高琪, 马自强, 王楠, 王明玥, 彭杰. 1990—2019年阿拉尔垦区植被覆盖时空变化特征分析[J]. 草地学报, 2021, 29(5): 1014-1024.
[4]	张鹏, 李毅, 单立山, 解婷婷. 降水变化对混生红砂-珍珠生物量及分配的影响[J]. 草地学报, 2021, 29(3): 478-487.
[5]	何国兴, 柳小妮, 张德罡, 李强, 蒲小鹏, 刘志刚, 关文昊, 杨军银, 韩天虎, 孙斌, 潘冬荣. 甘肃省高寒草甸植被覆盖度反演及其时空变化研究[J]. 草地学报, 2021, 29(3): 593-602.
[6]	张浔浔, 杨斌, 吴淑莹, 肖志强, 文浪, 段阳海, 孙建. 尼洋河流域植被特征时空变化及其对水热的响应[J]. 草地学报, 2021, 29(11): 2566-2576.
[7]	杨洁, 单立山, 苏铭, 魏晓芸, 马静, 解婷婷, 李毅. 降水变化和生长方式对红砂和珍珠化学计量特征的影响[J]. 草地学报, 2021, 29(10): 2221-2232.
[8]	尹林江, 周忠发, 李韶慧, 黄登红. 基于无人机可见光影像对喀斯特地区植被信息提取与覆盖度研究[J]. 草地学报, 2020, 28(6): 1664-1672.
[9]	杜忠毓, 安慧, 王波, 文志林, 张雅柔, 吴秀芝, 李巧玲. 养分添加和降水变化对荒漠草原植物群落物种多样性和生物量的影响[J]. 草地学报, 2020, 28(4): 1100-1110.
[10]	韩贞贵, 毛天旭, 屠丹, 张涛, 王根绪. 长江源区草地覆盖变化对土壤团聚体分布及稳定性的影响[J]. 草地学报, 2020, 28(3): 801-807.
[11]	贾向阳, 田艳丽, 陆文涛, 种培芳, 刘晟彤. CO₂浓度升高及降水变化对红砂植物碳氮特征的影响[J]. 草地学报, 2020, 28(2): 429-436.
[12]	才文代吉, 谢先福, 张静, 孙海群. 高原鼠兔鼠丘覆压对鼠丘上植被重建的影响研究[J]. 草地学报, 2019, 27(6): 1615-1621.
[13]	蔡宗磊, 苗正红, 常雪, 刘艳慧, 郝刚, 何龙涛. 基于无人机大样方数据及国产卫星反演草地植被覆盖度方法研究[J]. 草地学报, 2019, 27(5): 1431-1440.
[14]	仝淑萍, 苗彦军, 边步云, 贾书刚, 关法春, 郭红宝, 杨光宗. 不同恢复措施对藏北草地群落生产力和多样性影响的研究[J]. 草地学报, 2018, 26(5): 1078-1083.
[15]	于宝政, 彭岳林, 蔡晓布. 藏北高原退化高寒草甸土壤团聚体有机碳变化特征[J]. 草地学报, 2017, 25(6): 1212-1220.