植物学报 ›› 2018, Vol. 53 ›› Issue (1): 82-93.DOI: 10.11983/CBB17010

• 研究报告 • 上一篇    下一篇

辽宁省植被生长季NDVI对气候因子的响应

曹永强*(), 张亮亮, 袁立婷   

  1. 辽宁师范大学城市与环境学院, 大连 116029
  • 收稿日期:2017-01-14 接受日期:2017-08-01 出版日期:2018-01-01 发布日期:2018-08-10
  • 通讯作者: 曹永强
  • 基金资助:
    国家自然科学基金(No.51579126, No.51779114)和水沙科学与水利水电工程国家重点实验室2015年对外开放基金(No.sklhse- 2016-A-02)

Correlation Analysis of Normalized Difference Vegetation Index (NDVI) and Climatic Factors in the Vegetative Growing Season in Liaoning Province

Yongqiang Cao*(), Liangliang Zhang, Liting Yuan   

  1. School of Urban Planning and Environmental Science, Liaoning Normal University, Dalian 116029, China
  • Received:2017-01-14 Accepted:2017-08-01 Online:2018-01-01 Published:2018-08-10
  • Contact: Yongqiang Cao

摘要:

基于2000-2010年辽宁省内的37个气象站及周边5个气象站的基础数据, 结合MODIS NDVI的遥感影像资料, 运用趋势分析、相关分析和空间分析等方法研究植被生长与气候的关系, 探讨不同气候因子对植被生长的影响与主导作用。结果表明: (1) 辽宁省植被在研究时段内的7-8月生长最为旺盛, 生长季植被NDVI呈显著升高趋势, 2007年后维持在0.73- 0.74之间; (2) 在研究时段内, 整个生长季植被NDVI与降水量和日照时数主要呈正相关, 与气温主要呈负相关, 且在6-8月相关性较为显著, 植被生长对气温的变化最敏感, 对日照的响应最缓慢; (3) 5月辽宁省东部植被生长的主要气候影响因子为气温和日照, 西部为降水, 6-8月东部植被主要气候影响因子则转为降水和日照, 9月再度转为气温和日照; (4) 气温和日照对植被影响的滞后时间由东北向西南逐渐延长, 降水则与之相反。

关键词: NDVI, 气候因子, 响应分析, 滞后期

Abstract:

Daily data were obtained from 37 meteorological stations in Liaoning province and 5 meteorological stations in an adjacent area, combined with MODIS NDVI data, during 2000-2010. Vegetation growth response to climate change was analyzed by trend, correlation and spatial analyses to investigate the leading influence of different climate factors on vegetation growth. During the study period, the vegetation of Liaoning province was the most vigorous in July and August. NDVI was significantly increased in the vegetative season and remained between 0.73 and 0.74 after 2007. NDVI and temperature were negatively correlated, especially from June to August; NDVI and precipitation and sunshine hours mainly showed a positive correlation. Vegetation growth was most sensitive to changes of temperature, and the response to sunshine hours was the slowest. The main influencing climatic factors were temperature and sunshine hours in May in the eastern part of Liaoning province but changed to precipitation in the western region. During June to August, the main climatic factors were precipitation and sunshine hours but in September, changed to temperature and sunshine hours. The lag time of temperature and sunshine hours to vegetation was extended from the northeast to southwest Liaoning province, and that for precipitation was opposite.

Key words: NDVI, climatic factors, response analysis, lag period