LEI Lei, WANG Shuangming, XU Han, et al. Temporal and Spatial Variation of Leaf Area Index and Its Relation to Meteorological Factors of Hailiutu River Basin in Ordos's Basin[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 277-280.
DOI:
LEI Lei, WANG Shuangming, XU Han, et al. Temporal and Spatial Variation of Leaf Area Index and Its Relation to Meteorological Factors of Hailiutu River Basin in Ordos's Basin[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 277-280. DOI: 10.13961/j.cnki.stbctb.20150924.001.
Temporal and Spatial Variation of Leaf Area Index and Its Relation to Meteorological Factors of Hailiutu River Basin in Ordos's Basin
[Objective] The relationship between the temporal and spatial variation of leaf area index(LAI) in Hailiutu River basin and some meteorological factors was analyzed after those meteorological factors were contrasted in order to provide theoretical bases for local reasonable development and the protection of ecological environment.[Methods] The time-space variation tendency of leaf area index in Hailiutu basin was analyzed using linear regression method based on image data of MODIS. And the correlations between LAI and different meteorological factors were analyzed.[Results] 90.87% of the research area's LAI value rised constantly
and only 8.77% of that declined. The annually averaged LAI was 0.0022/a.[Conclusions] Vegetation in the basin got better year by year. Precipitation was the most important impacting factor of vegetation growing under natural conditions. Mean temperature and relative humidity had little correlations with the leaf area index
implied that they had little effects on the vegetation growth of the Hailiutu River basin.
Stow D A, Hope A, McGuire D, et al. Remote sensing of vegetation and land-cover change in Arctic Tundra ecosystems[J]. Remote Sensing of Environment, 2004,89(3):281-308.
Hope A S, Boynton W L, Stow D A. Interannual growth dynamics of vegetation in the Kuparuk River watershed, Alaska based on the normalized difference vegetation index[J]. International Journal of Remote Sensing, 2003,24(17):3413-3425.