[1]GUAN Xiaoxiang,LIU Cuishan,BAO Zhenxin,et al.Variation of Vegetation NDVI and Its Relationship with Climate Factors in the Yellow River Source Region[J].Research of Soil and Water Conservation,2021,28(05):268-277.
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Variation of Vegetation NDVI and Its Relationship with Climate Factors in the Yellow River Source Region
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
28
Number of periods:
2021 05
Page number:
268-277
Column:
Public date:
2021-08-20
- Title:
- Variation of Vegetation NDVI and Its Relationship with Climate Factors in the Yellow River Source Region
- CLC:
- Q948.112
- DOI:
- -
- Abstract:
- In order to analyze the spatial changing characteristics of vegetation NDVI and its influencing factors in different seasons in the Yellow River source area(YRSA)from 1982 to 2018,based on the precipitation and temperature observation data from 8 meteorological stations,trends detection approach,correlation analysis and other methods were used to reveal the changing characteristics of NDVI at the pixel scale. The results show that the air temperature rose significantly in all seasons,and the annual average warming rate reached 0.54℃/decade; the precipitation fluctuated slightly,the change trend was not very significant; the precipitation in winter decreased slightly; in most areas of YRSA,the NDVI value showed an increasing trend and the vegetation showed an improvement trend; The NDVI was positively correlated with temperature; the increase in air temperature had a significant positive effect on vegetation growth; except for winter,the correlation between NDVI and precipitation was not significant(p>0.05); In summer,about 50% of the areas showed positive correlation between NDVI and precipitation,concentrated on the Maduo County,which contributed to vegetation growth to some extent. Residual analysis results showed that the impact of human activities in winter on the NDVI change was weak; the Dari-Jiuji region and Henan-Xinghai region were more sensitive to human activities. The vegetation degradation caused by human activities had slowed down after 2000,and the vegetation in the YRSA had been improved to a certain extent.
- References:
- [1] 刘启兴,董国涛,景海涛,等.2000—2016年黄河源区植被NDVI变化趋势及影响因素[J].水土保持研究,2019,26(3):86-92.[2] 易浪,任志远,张翀,等.黄土高原植被覆盖变化与气候和人类活动的关系[J].资源科学,2014,36(1):166-174.[3] Zhang Y,Zhang C,Wang Z,et al. Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source Region,China from 1982 to 2012[J]. Science of the Total Environment,2016,563:210-220.[4] 金凯,王飞,韩剑桥,等.1982—2015年中国气候变化和人类活动对植被NDVI变化的影响[J].地理学报,2020,75(5):961-974.[5] 史丹丹,杨涛,胡金明,等.基于NDVI的黄河源区生长季植被时空变化及其与气候因子的关系[J].山地学报,2018,36(2):184-193.[6] 徐冠华,葛全胜,宫鹏,等.全球变化和人类可持续发展:挑战与对策[J].科学通报,2013,58(21):2100-2106.[7] 姜欣彤,黎曙,周祖昊,等.基于高程分段的黄河源区NDVI和水热条件空间分布格局研究[J].南水北调与水利科技,2020,18(4):39-53.[8] 沈斌,房世波,余卫国. NDVI与气候因子关系在不同时间尺度上的结果差异[J].遥感学报,2016,20(3):481-490.[9] 欧朝蓉,朱清科,孙永玉.元谋干热河谷旱季植被覆盖度的时空异质性[J].林业科学,2017,53(11):20-28.[10] 徐丽萍,郭鹏,刘琳,等.天山北麓土地利用与土地退化的时空特征探析[J].水土保持研究,2014,21(5):316-321.[11] Zhou Y,Zhang L,Fensholt R,et al. Climate contributions to vegetation variations in central Asian drylands:Pre-and post-USSR collapse[J]. Remote Sensing,2015,7(3):2449-2470.[12] 邵全琴,樊江文,刘纪远,等.基于目标的三江源生态保护和建设一期工程生态成效评估及政策建议[J].中国科学院院刊,2017,32(1):35-44.[13] Evans J,Geerken R. Discrimination between climate and human-induced dryland degradation[J]. Journal of Arid Environments,2004,57(4):535-554.[14] 刘宪锋,任志远,林志慧,等.2000—2011年三江源区植被覆盖时空变化特征[J].地理学报,2013,68(7):897-908.[15] 杜加强,贾尔恒·阿哈提,赵晨曦,等.三江源区近30年植被生长动态变化特征分析[J].草业学报,2016,25(1):1-12.[16] 吴喜芳,李改欣,潘学鹏,等.黄河源区植被覆盖度对气温和降水的响应研究[J].资源科学,2015,37(3):512-521.[17] 王高杰,黄进良,肖飞,等.基于关联性及趋势性分析的AVHRR NDVI及MODIS NDVI数据产品比较[J].长江流域资源与环境,2018,27(5):1143-1151.[18] 管晓祥,张建云,鞠琴,等.多种方法在水文关键要素一致性检验中的比较[J].华北水利水电大学学报:自然科学版,2018,39(2):51-56.[19] 崔利芳,王伦澈,屈赛,等.气温、降水量和人类活动对长江流域植被NDVI的影响研究[J].地球科学,2020,45(6):1905-1917.[20] 张成凤,鲍振鑫,杨晓甜,等.黄河源区水文气象要素演变特征及响应关系[J].华北水利水电大学学报:自然科学版,2019,40(6):15-19.[21] 王栋,吴栋栋,解效白,等.黄河源区水文气象要素时空变化特征分析[J].人民珠江,2020,41(3):66-72,84.[22] Piao S,Yin G,Tan J,et al. Detection and attribution of vegetation greening trend in China over the last 30 years[J]. Global Change Biology,2015,21(4):1601-1609.[23] Potter C,Klooster S,Genovese V. Net primary production of terrestrial ecosystems from 2000 to 2009[J]. Climatic Change,2012,115(2):365-378.[24] Richardson A D,Black T A,Ciais P,et al. Influence of spring and autumn phenological transitions on forest ecosystem productivity[J]. Philosophical Transactions of the Royal Society B:Biological Sciences,2010,365(1555):3227-3246.[25] Wang J,Wang K,Zhang M,et al. Impacts of climate change and human activities on vegetation cover in hilly southern China[J]. Ecological Engineering,2015,81:451-461.[26] Bao G,Qin Z,Bao Y,et al. NDVI-based long-term vegetation dynamics and its response to climatic change in the Mongolian Plateau[J]. Remote Sensing,2014,6(9):8337-8358.[27] Li S,Yang S,Liu X,et al. NDVI-based analysis on the influence of climate change and human activities on vegetation restoration in the Shaanxi-Gansu-Ningxia Region,Central China[J]. Remote Sensing,2015,7(9):11163-11182.[28] Zhao W,Hu Z,Guo Q,et al. Contributions of climatic factors to interannual variability of the vegetation index in northern china grasslands[J]. Journal of Climate,2019,33(1):175-183.[29] 刘璐璐,曹巍,邵全琴.近30年来长江源区与黄河源区土地覆被及其变化对比分析[J].地理科学,2017,37(2):311-320.[30] 神祥金,张佳琦,吕宪国.青藏高原沼泽湿地植被NDVI时空变化及其对气候变化的响应[J].生态学报,2020,40(18):6259-6268.[31] Shen M,Piao S,Cehn X,et al. Strong impacts of daily minimum temperature on the green-up date and summer greenness of the Tibetan Plateau[J]. Global Change Biology,2016,22(9):3057-3066.
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Last Update:
2021-08-20