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林业资源管理 ›› 2022, Vol. 0 ›› Issue (4): 89-99.doi: 10.13466/j.cnki.lyzygl.2022.04.012

• 科学研究 • 上一篇    下一篇

山西省五台山地区近30年植被覆盖动态变化及影响因素

任天晨(), 陈军锋, 刘楠()   

  1. 太原理工大学 水利科学与工程学院,太原 030024
  • 收稿日期:2020-05-23 修回日期:2020-07-14 出版日期:2022-08-28 发布日期:2022-10-13
  • 通讯作者: 刘楠
  • 作者简介:任天晨(1998-),男,浙江绍兴人,在读硕士,研究方向:遥感应用和生态水文。Email: 1216906976@qq.com
  • 基金资助:
    国家自然科学基金青年基金项目(31400618)

Dynamic Change and Influencing Factors of Vegetation Cover over the Past 30 years in the Wutai Mountain Area

REN Tianchen(), CHEN Junfeng, LIU Nan()   

  1. College of Hydraulic Science and Engineering,Taiyuan University of Technology,Taiyuan 030024,China
  • Received:2020-05-23 Revised:2020-07-14 Online:2022-08-28 Published:2022-10-13
  • Contact: LIU Nan

摘要:

以1991—2020年间的25期Landsat遥感数据源,基于像元二分模型、小波分析、偏相关性分析等方法,分析五台山地区植被覆盖度的时空变化特征及其影响因素。结果表明:五台山地区FVC值在总体上呈现增加趋势,其中五台县多年FVC均值最高,原平市历年FVC增速最快,主要存在9,12,21a共3个主要变化周期控制整个时域中FVC的变化。研究区植被覆盖呈现“西低东高”的空间分布格局,植被覆盖改善区远大于退化区。五台县在海拔低于2 400m的CV值均表现出较大负偏离现象,在海拔高于2 400m时,出现较大正偏离现象;繁峙县FVC值均表现出阴坡>阳坡>半阴坡>半阳坡的现象;代县和原平市各坡向的FVC峰值在海拔1 600~2 000m内出现。五台县、代县和原平市CV值随坡度的增加,负偏离程度越大。1980—2015年间,研究区年均温度和年降水量均呈现上升趋势,FVC值与温度的偏相关系数均值为0.14,与降水量的偏相关系数均值为0.05。1990—2018年间,五台山地区林地、建设用地的面积出现增加,而耕地、草地存在不同程度减少,其中矿区和景区等人类活跃区存在植被衰退问题。

关键词: 五台山地区, 植被覆盖度, 影响因素, 遥感, 像元二分模型

Abstract:

Based on 25 Landsat remote sensing data sources from 1991 to 2020,the temporal and spatial characteristics of vegetation coverage and its influencing factors in Wutai Mountain were analyzed by binary pixel model,wavelet analysis and partial correlation analysis.The results showed that the FVC values in Wutai Mountain area showed an increasing trend on the whole,in which the mean value of FVC in Wutai County was the highest,and the FVC growth rate in Yuanping City was the highest.There were three main change cycles of 9,12,21 years to control the change of FVC in the whole time domain.The vegetation cover in the study area showed a spatial distribution pattern of "low in the west and high in the east",and the improved area of vegetation cover was much larger than the degraded area.The CV values of Wutai County showed a large negative deviation phenomenon when the altitude was lower than 2 400m,and a large positive deviation phenomenon when the altitude was higher than 2 400m.The FVC values of Fanshi County showed an order as follows:shade slope>sunny slope>half shade slope>half sunny slope;The peak values of FVC in each slope direction of Dai County and Yuanping City appeared in the altitude range of 1 600~2 000m.The negative deviation of CV values in Wutai County,Dai County and Yuanping City increased with the increase of slope.From 1980 to 2015,the mean value of partial correlation coefficient between FVC value and temperature was 0.14,and that between FVC value and precipitation was 0.05.In Wutai Mountain area,the area of forest land and construction land increased,while the area of cultivated land and grassland decreased to varying degrees from 1980 to 2015,and there were vegetation decline problems in human-active areas such as mining areas and scenic spots.

Key words: Wutai Mountain area, vegetation coverage, influencing factors, remote sensing, Pixel binary model

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