Spatiotemporal Variations and Topographic Differentiation of Fractional Vegetation Cover in Changbai Mountain

Shi Song; Li Wen; Yang Ziyi; Yu Ran

doi:10.13961/j.cnki.stbctb.2023.03.030

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Spatiotemporal Variations and Topographic Differentiation of Fractional Vegetation Cover in Changbai Mountain

- Spatiotemporal Variations and Topographic Differentiation of Fractional Vegetation Cover in Changbai Mountain
- Bulletin of Soiland Water Conservation Vol. 43, Issue 3, Pages: 254-264(2023)
- 作者机构：
  
  东北林业大学园林学院,黑龙江,哈尔滨,150040
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2023.03.030
  CLC： TP79;S157.1
- Published：2023
- 稿件说明：
移动端阅览
Shi Song, Li Wen, Yang Ziyi, et al. Spatiotemporal Variations and Topographic Differentiation of Fractional Vegetation Cover in Changbai Mountain[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 254-264.
DOI：

Shi Song, Li Wen, Yang Ziyi, et al. Spatiotemporal Variations and Topographic Differentiation of Fractional Vegetation Cover in Changbai Mountain[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 254-264. DOI： 10.13961/j.cnki.stbctb.2023.03.030.

摘要

[目的] 探究长白山区植被动态变化及其与地形的响应关系，为山区生态环境保护与治理提供科学支撑。[方法] 基于MODIS NDVI与DEM数据，采用像元二分模型估算长白山区2000—2020年植被覆盖度，运用Sen+Mann-Kendall趋势分析、空间自相关分析及重心迁移模型，结合地形面积差异修正系数，深入解析植被覆盖度时空演变特征，并定量揭示植被覆盖变化在高程、坡度、坡向因子上的分异效应。[结果] ①时空分布上，2000—2020年长白山区植被覆盖度以0.023 7/(10 a)(p＜0.001)的速率增长并于2010年发生明显的上升突变，呈“四周高，中间低”的分布格局，整体处于较高水平。②时空变化上，2000—2020年长白山区植被改善区域面积远大于退化区域面积，呈以“高—高”模式为主的显著聚集状态，但聚集程度波动下降；21 a间植被覆盖重心整体向西南迁移。③地形分异上，长白山区植被覆盖度随海拔、坡度升高均表现为先增加后减少趋势，不同时段下海拔＜600 m，≥1 200 m及坡度＜2°，≥25°区域植被普遍呈退化趋势，海拔600~1 200 m及坡度2°~25°范围内以改善或稳定趋势为主；平地区域植被退化趋势明显，其他坡向上各变化类型差异较小。[结论] 近21 a来长白山区植被状况总体向好发展，不同高程和坡度条件下植被变化空间分异明显，而坡向对植被变化的影响并不显著。

Abstract

[Objective] The dynamic changes of vegetation and its response relationship with topography in Changbai Mountain were explored in order to provide scientific support for ecological environmental protection and management in this mountainous area.[Methods] Based on MODIS NDVI and DEM data

fractional vegetation cover in Changbai Mountain from 2000 to 2020 was estimated using a pixel dichotomy model. Spatiotemporal variations of fractional vegetation cover were analyzed in depth using Sen+Mann-Kendall trend analysis

spatial autocorrelation analysis

and a center of gravity migration model. At the same time

the differential effects of vegetation cover variations were quantitatively determined by combining the analysis results with the correction coefficient for topographic areas in this study in terms of elevation

slope

and aspect factors.[Results] ① In terms of spatiotemporal distribution

the fractional vegetation cover in Changbai Mountain increased at a rate of 0.023 7/10 yr (p<0.001) from 2000 to 2020 and underwent an obvious upward mutation in 2010

showing a distribution pattern of "high around and low in the middle"

with an overall level of high. ② In terms of spatiotemporal variation

the area of vegetation improvement in Changbai Mountain was much larger than the area of degradation from 2000 to 2020

showing a significant clustering state dominated by a "high-high" pattern. However

the degree of clustering showed a fluctuating downward trend

and the center of gravity of vegetation cover generally migrated to the southwest during the 21-yr study period. ③ In terms of topographic differentiation

the fractional vegetation cover in Changbai Mountain increased and then decreased with the increase of elevation and slope over time. During different time periods

vegetation in the areas of elevation <600 m

≥ 1200 m and slope <2°

≥ 25° generally showed a degradation trend. The areas primarily showing improvement or stabilization over time had elevations of 600-1 200 m and slopes of 2°-25°. The trend of vegetation degradation was obvious in the flat land area

while little difference in the variation types was observed for other aspects.[Conclusion] The vegetation condition of Changbai Mountain has generally improved over the past 21 years. Spatial differentiation of vegetation variations under different elevations and slopes was obvious

while the effect of aspect on vegetation variations was not significant.

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