西部林业科学2024,Vol.53Issue(1) :163-171.DOI:10.16473/j.cnki.xblykx1972.2024.01.020

塞罕坝植被覆盖时空分异与驱动机制研究

Spatial-temporal Variations and Driving Mechanism of Vegetation Cover in Saihanba

王晓红 辛守英 阳丽虹 马明浩 焦琳琳
西部林业科学2024,Vol.53Issue(1) :163-171.DOI:10.16473/j.cnki.xblykx1972.2024.01.020

塞罕坝植被覆盖时空分异与驱动机制研究

Spatial-temporal Variations and Driving Mechanism of Vegetation Cover in Saihanba

王晓红 1辛守英 2阳丽虹 3马明浩 2焦琳琳1
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作者信息

  • 1. 华北理工大学矿业工程学院,河北 唐山 063210;河北省矿区生态修复产业技术研究院,河北 唐山 063210;河北省矿山绿色智能开采技术创新中心,河北 唐山 063210
  • 2. 华北理工大学矿业工程学院,河北 唐山 063210
  • 3. 国家知识产权局专利局专利审查协作广东中心,广东 广州 510700
  • 折叠

摘要

研究塞罕坝林场植被覆盖变化及其驱动机制能够为区域植被保护与森林经营管理提供重要的理论依据.基于MODIS-NDVI、气温和降水数据,采用趋势分析、偏相关性分析、残差分析和相对作用分析等方法,分析塞罕坝林场2000-2020年不同植被覆盖的时空变化,探讨气候因素和人类活动对不同植被覆盖的驱动机制.结果显示:(1)塞罕坝林场植被覆盖的归一化差异植被指数(NDVI)低于0.55的区域归为低植被覆盖区,NDVI高于0.65的区域为高植被覆盖区,而NDVI为0.55~0.65的区域为中等植被覆盖区.(2)2000-2020年,不同植被覆盖等级NDVI的平均增长速率有所差异,低植被覆盖区NDVI平均增长速率较快;其次是中等植被覆盖区和高植被覆盖区;尤其是2007年之后,塞罕坝林场全域NDVI平均增长速率明显高于2000-2007的植被NDVI平均增长速率.(3)在不同植被覆盖等级区,NDVI的主要驱动因素也有所不同,低植被覆盖区NDVI主要受到人类活动的影响,其贡献率高达60.78%;中高植被覆盖区主要驱动因子存在着空间异质性,即中高植被覆盖区的西部和东南部的低海拔区主要受人类活动的影响,而东北部的高海拔区主要受到气候因素的影响.

Abstract

The study of vegetation cover change and its driving mechanism in Saihanba Forest Farm can provide an important theoretical basis for regional vegetation protection and forest management.Based on the MODIS-NDVI,temperature,and precipitation data,the temporal and spatial changes of different vegetation cover in Saihanba Forest Farm from 2000 to 2020 were analyzed by using trend analysis,partial correlation analysis,residual analysis,and relative effect analysis and the driving mechanism of climate factors and human activities on different vegetation cov-er was discussed.The results showed:(1)In Saihanba Forest Farm,the area with normalized differential vegetation index(NDVI)lower than 0.55 was classified as low vegetation cover area,the area with NDVI higher than 0.65 was classified as high vegetation cover area,and the area with NDVI between 0.55 and 0.65 was classified as medi-um vegetation cover area.(2)From 2000 to 2020,the average growth rate of NDVI varies among different vegeta-tion cover levels.The average growth rate of NDVI is faster in low vegetation cover area,followed by medium vegeta-tion cover area and high vegetation cover area.Especially after 2007,the average growth rate of NDVI in Saihanba Forest Farm was significantly higher than the average growth rate of NDVI from 2000 to 2007.(3)The main driving factors of NDVI are also different in different vegetation cover levels.NDVI in low vegetation cover areas is mainly affected by human activities,and its contribution rate is as high as 60.78%.The main driving factors in the middle and high vegetation cover area are spatially heterogeneous,that is,the low altitude area in the west and southeast of the middle and high vegetation cover area is mainly affected by human activities,while the high altitude area in the northeast is mainly affected by climate factors.

关键词

塞罕坝林场/归一化差异植被指数/气候因素/人类活动

Key words

Saihanba Forest Farm/NDVI/climatic factors/human activities

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基金项目

唐山市科技局应用基础研究计划(20130202b)

华北理工大学博士专项(BS201818)

河北省自然科学基金青年基金(D2019209322)

河北省自然科学基金青年基金(2019209317)

出版年

2024
西部林业科学
云南省林业科学院 云南省林学会

西部林业科学

CSTPCD北大核心
影响因子:0.807
ISSN:1672-8246
参考文献量31
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