李薇, 谈明洪. 太行山区不同坡度NDVI变化趋势差异分析[J]. 中国生态农业学报(中英文), 2017, 25(4): 509-519. DOI: 10.13930/j.cnki.cjea.160781
引用本文: 李薇, 谈明洪. 太行山区不同坡度NDVI变化趋势差异分析[J]. 中国生态农业学报(中英文), 2017, 25(4): 509-519. DOI: 10.13930/j.cnki.cjea.160781
LI Wei, TAN Minghong. NDVI variation tendency under different slopes in Taihang Mountain[J]. Chinese Journal of Eco-Agriculture, 2017, 25(4): 509-519. DOI: 10.13930/j.cnki.cjea.160781
Citation: LI Wei, TAN Minghong. NDVI variation tendency under different slopes in Taihang Mountain[J]. Chinese Journal of Eco-Agriculture, 2017, 25(4): 509-519. DOI: 10.13930/j.cnki.cjea.160781

太行山区不同坡度NDVI变化趋势差异分析

NDVI variation tendency under different slopes in Taihang Mountain

  • 摘要: 山区坡度对土壤侵蚀和植被生长有重要影响。分析不同坡度NDVI变化趋势的差异有助于理解植被对不同坡度的响应情况,加深对植被变化影响机制的理解。本文基于MODIS数据和DEM数据,以生长季NDVI均值为表征指标,采用基于像元的趋势分析方法以及基于坡度的回归分析法,分析了太行山地区2000-2015年间植被变化情况,并且对植被变化趋势与坡度关系的规律做了系统性分析。同时,本文采用土地利用转移矩阵来分析2000年和2010年两期不同坡度土地类型流转的面积及方向,探讨土地利用变化对不同坡度植被变化的影响状况。结果表明:(1)研究时段内太行山区植被总体上得到改善,植被改善区域占该区总面积的93.5%。(2)NDVI增加趋势在中西部地区(山西省境内)最为明显,东部和南部部分中低海拔区出现减少趋势,主要集中在东部邻接华北平原的低山丘陵区。(3)坡度较大的区域生长季平均NDVI较高。(4)植被变化趋势(y)与坡度(x)之间的关系为非线性关系,可用二次函数来表示,其表达式为:y=-0.311x2+8.098x+28.027。(5)当坡度在7°~15°,植被变好趋势最为明显,其次是坡度为15°~20°,坡度7°~20° NDVI变化趋势均值分别比>20°区域和≤7°区域高15.8%和29.8%。(6)2000-2010年在低(0°~7°)、中(7°~20°)和高坡度(>20°)区域,耕地、林地、草地总面积均减少,主要流向了建设用地和水域。然而,3个坡度范围NDVI变化趋势均为正,且增加最明显的为中坡度地区,然后依次是高坡度地区和低坡度地区。(7)NDVI变化趋势受到土地利用类型和面积的影响较小,主要受到自身生化条件、自然环境条件和人为扰动(土地利用强度等)的综合作用。基于以上结果,本文对太行山区不同坡度土地资源的合理利用和生态环境保护具有重要意义。

     

    Abstract: Slopes in mountain areas are critical for the management of soil erosion and vegetation growth-a key determinant factor of site conditions of vegetation. Analysis of the variation tendency of NDVI (normal difference vegetation index) at different slope gradients in Taihang Mountain helps not only to understand the response of vegetation to slope gradients under long-term adaptation, but also to deepen the understanding of the variation mechanism of vegetation. Using the 250 m×250 m resolution MODIS data derived from NASA Terra Satellite, the 90 m×90 m resolution DEM data from SRTMDEM, pixel-scale trend analysis and slope-related regression analysis, this study investigated the changes in vegetation conditions in Taihang Mountain for the period 2000-2015. As the most important indicator, average NDVI in growing season was used for vegetation condition. After the selection of about 1 000 typical samples in the study area, the relationship between changes in the greenness of vegetation and slope gradient was explored using regression analysis. Meanwhile, land use transition matrixes were used to explore the transfer and direction of the acreage of land between different land use types under different slope gradients. The results showed that:1) the greenness of vegetation in Taihang Mountain improved for the study period, the vegetation-improving area accounted for 93.5% of the total study area. 2) The most obvious increase trend in NDVI was in the central and western regions (especially in central and east Shanxi Province). Also the most obvious decrease trend of NDVI was in patches of medium and lower elevations in eastern and southern Taihang Mountain, which was mainly concentrated in the eastern hilly regions adjacent to the North China Plain. 3) Average NDVI for the growing season increased with increasing slope. 4) The relationship between variation trend of NDVI (y) and slope (x) was non-linear, and the best represented by a quadratic function (y=-0.311x2+8.098x+28.027). 5) The tendency for increase in NDVI was most obvious for slope gradient within the range of 7°-15°, then for slope gradient of 15°-20°. The tendency of NDVI variation in slope range of 7°-20° was 15.8% and 29.8% higher than that in the slope > 20° and≤7°, respectively. 6) From 2000 to 2010, areas of arable land, grassland and forest land under lower (0°-7°), middle (7°-20°) and higher (> 20°) slopes decreased, and mainly transformed into construction land. However, the NDVI variation trends in the three slope ranges were all positive, and the most obvious was the middle slope area, followed by higher slope area and lower slope area. 7) The trend of NDVI variation was less affected by land use type and area, which was mainly influenced by its biochemical conditions, natural environment and human disturbance (land use intensity). Based on the above results, this paper is of great significance to rational utilization of land resources and ecological and environmental protection under different slopes of Taihang Mountain.

     

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