WANG Zhigang,CAO Shengkui,CAO Guangchao.Analysis on the Drive of Temperature and Precipitation Changes to Vegetation Phenology of the Qinghai Lake Basin in the Past 15 Years[J].Research of Soil and Water Conservation,2022,29(01):249-255.
近15年来青海湖流域气温、降水变化对植被物候驱动分析
- Title:
- Analysis on the Drive of Temperature and Precipitation Changes to Vegetation Phenology of the Qinghai Lake Basin in the Past 15 Years
- 文章编号:
- 1005-3409(2022)01-0249-07
- Keywords:
- Qinghai Lake Basin; temperature and precipitation changes; vegetation phenology; drive analysis
- 分类号:
- K903; Q142.2
- 文献标志码:
- A
- 摘要:
- 研究气候变化对植被物候的驱动分析,对于深入理解高寒植被适应全球气候变化具有重要意义。选取MCD12Q2植被物候数据,利用相关分析和GIS空间分析,对近15年来青海湖流域气温、降水变化与植被物候关系进行了研究。结果表明:近15年来青海湖流域植被返青期(start of growing season,SOS)、植被生长期长度(Length of growing season,LOS)、休眠期(Dormancy of growing season,DOS)与年均气温呈显著相关关系,其偏相关系数分别为-0.57～0.36,-0.89～0.81和-0.29～0.51; 与年均降水量偏相关系数分别为-0.58～0.38,-0.82～0.93和-0.23～0.23,表明流域植被SOS和LOS变化主要受年均气温和降水量共同影响,DOS变化主要受年均气温影响。青海湖流域植被SOS,LOS和DOS在空间上受气温、降水及其共同驱动的区域占比分别为33.7%,22.5%和36.67%,其受非气温—降水驱动的区域占比分别为66.3%,77.5%和63.33%; 沿海拔梯度方向上(海拔每上升100 m),年均气温上升1℃,植被SOS提前0.35 d,植被LOS延长0.15 d,植被DOS推迟0.25 d; 年均降水量增加1 mm,植被SOS推迟4 d,植被LOS缩短1.69 d; 植被DOS提前2.85 d。可见,近15年气温、降水变化对青海湖流域植被物候的驱动在空间上存在差异性,空间上植被物候主要受非气温—降水影响,海拔梯度上植被物候受气温和降水影响显著。
- Abstract:
- Analysis of drive of climate change on vegetation phenology is of great significance for in-depth understanding of the adaptation of alpine vegetation to global climate change. We used MCD12Q2 vegetation phenology data, correlation analysis method and GIS spatial analysis method to study the relationship between temperature and precipitation changes and vegetation phenology in the Qinghai Lake Basin in the past 15 years. The results showed that in the past 15 years, the annual average temperature in the Qinghai Lake Basin had a significant correlation with the start of growing season(SOS), the length of growing season(LOS), and the dormancy of growing season(DOS); the partial correlation coefficients were 0.36～0.57, -0.89～0.81 and -0.29～0.51, respectively; the partial correlation coefficients with the average annual precipitation were -0.58～0.38, -0.82～0.93 and -0.23～0.23, respectively; SOS and LOS of the vegetation in the Qinghai Lake Basin were mainly affected by the combined effect of the annual average temperature and precipitation, while the DOS was affected by the annual average temperature; in the past 15 years, SOS,LOS and DOS of the vegetation in the Qinghai Lake Basin were mainly driven by temperature andprecipitation, the proportions of the regions driven by temperature, precipitation and their combination were 33.7%,22.5% and 36.67%, respectively, the proportions of the regions driven by non-temperature-precipitation were 66.3%,77.5% and 63.33%, respectively; along the altitude gradient, the vegetation phenology was mainly affected by temperature and precipitation, the annual average temperature rose by 1℃, the vegetation SOS was advanced by 0.35 day, and the vegetation LOS was extended by 0.15 day; the average annual precipitation increased by 1 mm, the vegetation SOS was delayed by 4 days, the vegetation LOS was shortened by 1.69 days, and the vegetation DOS was advanced by 2.85 days. The drives of changes in temperature and precipitation to vegetation phenology in the Qinghai Lake Basin in the past 15 years had the spatial differences. The vegetation phenology in space was mainly affected by non-temperature precipitation, and the vegetation phenology along the altitude gradient was significantly affected by temperature and precipitation.
参考文献/References:
[1] 秦大河.进入21世纪的气候变化科学:气候变化的事实、影响与对策[J].科技导报,2004(7):4-7.[2] 李林,时兴合,申红艳,等.1960—2009年青海湖水位波动的气候成因探讨及其未来趋势预测[C].湖北宜昌:第七届全国优秀青年气象科技工作者学术研讨会,2010.[3] 李林,陈晓光,王振宇,等.青藏高原区域气候变化及其差异性研究[J].气候变化研究进展,2010,6(3):181-186.[4] 朴世龙,张宪洲,汪涛,等.青藏高原生态系统对气候变化的响应及其反馈[J].科学通报,2019,64(27):2842-2855.[5] 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.[6] 李广泳,李小雁,赵国琴,等.青海湖流域草地植被动态变化趋势下的物候时空特征[J].生态学报,2014,34(11):3038-3047.[7] 韩炳宏,孔祥萍,周秉荣,等.气候变化情景下青藏高原物候研究的若干进展[J].草业科学,2019,36(11):2786-2795.[8] 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.[9] 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.[10] 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.[11] 陆晴,吴绍洪,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.[12] Wang X, Gao Q, Wang C, et al. Spatiotemporal patterns of vegetation phenology change and relationships with climate in the two transects of East China[J]. Global Ecology and Conservation, 2017,10:206-219.[13] 杨柏娟,王思远,常清,等.青藏高原植被净初级生产力对物候变化的响应[J].地理与地理信息科学,2015,31(5):115-120.[14] 刘宝康.气候变化背景下青海湖流域草地与湖泊时空变化特征研究[D].兰州:兰州大学,2016.[15] 李广泳,姜翠红,程滔,等.青海湖流域植被物候格局时空动态变化及其与植被退化的关系[J].草业学报,2016,25(1):22-32.[16] 苏芬,刘宝康,张翠花,等.青海湖流域牧草物候期对气候变化的响应[J].青海草业,2018,27(4):12-18.[17] 宋春桥,游松财,柯灵红,等.藏北高原植被物候时空动态变化的遥感监测研究[J].植物生态学,2011,35(8):853-863.[18] 汪青春.牧草生长发育与气象条件的关系及气候年景研究[J].中国农业气象,1998,19(3):3-5.[19] Cui B L, Li X Y. Stable isotopes reveal sources of precipitation in the Qinghai Lake Basin of the northeastern Tibetan Plateau[J]. Science of the Total Environment, 2015,527:26-37.[20] 潘虹,顾海敏,史建桥,等.基于RS和GIS的青海湖流域植被覆盖度变化与驱动因子研究[J].资源开发与市场,2016,32(7):827-831,768.[21] 孙永亮,李小雁,汤佳,等.青海湖流域气候变化及其水文效应[J].资源科学,2008,30(3):354-362.[22] Zhang X, Friedl M A, Schaaf C B, et al. Monitoring vegetation phenology using MODIS[J]. Remote Sensing of Environment, 2003,84(3):471-475.[23] Peng D, Zhang X, Wu C, et al. Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States[J]. Agricultural & Forest Meteorology, 2017,242:33-46.[24] 王聪,李静,柳钦火,等.黑河流域遥感物候产品验证与分析[J].遥感学报,2017,21(3):442-457.[25] 张仁平,郭靖,冯琦胜,等.新疆地区草地植被物候时空变化[J].草业学报,2018,27(10):66-75.[26] 玛地尼亚提·地里夏提,玉素甫江·如素力,姜红.2001—2014年博斯腾湖流域植被物候时空变化及其驱动因子[J].生态学报,2018,38(19):6921-6931.[27] 徐建华.计量地理学[M].北京:高等教育出版社,2006:95-98.[28] 陈云浩,李晓兵,史培军.1983—1992年中国陆地NDVI变化的气候因子驱动分析[J].植物生态学报,2001,25(6):716-720.[29] 邓晨晖.气候变化背景下秦岭山地物候时空变化及其响应[D].西安:西北大学,2018.[30] 黄文洁,曾桐瑶,黄晓东.青藏高原高寒草地植被物候时空变化特征[J].草业科学,2019,36(4):1032-1043,919.[31] 贾文雄,陈京华,张禹舜,等.祁连山北坡草地植物群落特征与土壤水热因子的关系[J].生态学杂志,2016,35(3):661-667.[32] 付建新,曹广超,郭文炯.1998—2017年祁连山南坡不同海拔、坡度和坡向生长季NDVI变化及其与气象因子的关系[J].应用生态学报,2020,31(4):1203-1212. [33] 崔耀平,刘纪远,胡云锋,等.中国植被生长的最适温度估算与分析[J].自然资源学报,2012,27(2):281-292.
相似文献/References:
[1]李璠,周国英,杨路存,等.围栏封育对青海湖流域主要植物群落多样性与稳定性的影响[J].水土保持研究,2013,20(04):135.
LI Fan,ZHOU Guo-ying,YANG Lu-cun,et al.Effect of Fence on Biodiversity and Stability of the Main Plant Communities in the Qinghai Lake Area[J].Research of Soil and Water Conservation,2013,20(01):135.
[2]曹生奎,陈克龙,曹广超,等.草地退化对青海湖流域小蒿草草甸土壤碳密度的影响[J].水土保持研究,2014,21(01):71.
CAO Sheng-kui,CHEN Ke-long,CAO Guang-chao,et al.Influence of Grassland Degradation on the Soil Carbon Density of the Kobresia pygmaea Meadow in the Qinghai Lake Basin[J].Research of Soil and Water Conservation,2014,21(01):71.
[3]王胜利,刘伟,张连蓬,等.地学环境变量支持的土壤全钾含量自适应曲面建模——以青海湖流域典型地区为例[J].水土保持研究,2018,25(01):132.
WANG Shengli,LIU Wei,ZHANG Lianpeng,et al.Adaptive Surface Modeling of Soil Total Potassium Content Supported by the Environment Variables—A Case Study in Typical Areas of Qinghai Lake Basin[J].Research of Soil and Water Conservation,2018,25(01):132.
[4]李文斌,曹生奎,曹广超,等.2000—2020年青海湖流域植被净初级生产力时空格局及驱动分析[J].水土保持研究,2024,31(05):327.[doi:10.13869/j.cnki.rswc.2024.05.004]
Li Wenbin,Cao Shengkui,Cao Guangchao,et al.Spatiotemporal Patterns of Vegetation Net Primary Productivity and Their Drivers in Qinghai Lake Basin from 2000 to 2020[J].Research of Soil and Water Conservation,2024,31(01):327.[doi:10.13869/j.cnki.rswc.2024.05.004]
备注/Memo
收稿日期:2021-04-11 修回日期:2021-04-27资助项目:国家自然科学基金(42061008); 青海省“高端创新人才千人计划”项目(青人才字[2016]11号)第一作者:王志刚(1996—),男,安徽安庆人,硕士,主要从事GIS应用方面研究。E-mail:Wzg_gis@163.com通信作者:曹生奎(1979—),男,青海西宁人,教授,主要从事生态水文方面研究。E-mail:caoshengkui@163.com