资源科学 ›› 2018, Vol. 40 ›› Issue (6): 1267-1276.doi: 10.18402/resci.2018.06.16

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北江干流河岸植被缓冲带景观渗透性时空变化及其影响因素

徐珊珊1,2(), 赵清贺1,2(), 曹梓豪1,2, 张祎帆1,2   

  1. 1. 黄河中下游数字地理技术教育部重点实验室,开封 475004
    2. 河南大学环境与规划学院,开封 475004
  • 收稿日期:2017-01-09 修回日期:2017-09-28 出版日期:2018-06-25 发布日期:2018-06-22
  • 作者简介:

    作者简介:徐珊珊,女,河南平顶山人,博士生,主要从事流域景观格局与生态过程研究。E-mail:xus199@163.com

  • 基金资助:
    国家自然科学基金项目(41301197);河南省高等学校重点科研项目(18A170004);河南省高校科技创新团队支持计划(16IRTSTHN012)

Spatio-temporal variation in landscape leakiness and the influencing factors in the riparian vegetation buffer zone of the Beijiang River

Shanshan XU1,2(), Qinghe ZHAO1,2(), Zihao CAO1,2, Yifan ZHANG1,2   

  1. 1. Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng 475004, China
    2. College of Environment and Planning, Henan University, Kaifeng 475004, China
  • Received:2017-01-09 Revised:2017-09-28 Online:2018-06-25 Published:2018-06-22

摘要:

景观渗透性指数反映景观保持水土的能力,可为景观功能评价提供新途径。本研究以北江干流河岸植被缓冲带为例,在阐述景观渗透性指数计算原理的基础上,以1995年、2000年、2005年、2010年和2015年的Landsat TM影像为植被数据源,以30m分辨率的DEM数据为地形数据源,结合USLE模型,对景观渗透性指数在研究区的适用性进行验证,并分析研究区景观渗透性指数的时空分异及其影响因素。结果表明,景观渗透性指数分析在研究区具有一定的适用性,渗透性值与侵蚀模数呈显著正相关关系(P<0.05);研究区景观渗透性指数时空差异显著,1995—2015年,整体呈增加趋势,而韶关、南雄和清远等地景观渗透性值较高并呈波动性变化;林地面积和建设用地面积的变化是影响渗透性指数时空分异的主要因素。本研究可为景观渗透性指数在北江河岸植被缓冲带的应用及其水土保持能力的评价提供一定的方法参考。

关键词: 景观渗透性, 植被和地形, 水土保持, 河岸植被缓冲带, 时空演变, 影响因素, 北江干流

Abstract:

Landscape leakiness describes the extent to which landscapes have lost their capacity to regulate rainwater and soil nutrients, which can provide an approach to assess landscape function. In this study, taking the riparian vegetation buffer zone of the Beijiang River as a case study, the leakiness index (LI), an indicator for reflecting landscape leakiness, was applied to evaluate the soil and water conservation function of the riparian vegetation buffer zone. Based on the DEM and vegetation data derived from remote sensing images from 1995-2015, we explained the calculation process of LI and verified the applicability of LI in the study area using the USLE model. We analyzed spatial-temporal variation in landscape leakiness and associated factors. The results showed that LI presented better applicability in the riparian vegetation buffer zone of the Beijiang River according to a significantly positive correlation between LI and soil erosion modulus. Temporal and spatial variation in landscape leakiness was obvious and generally showed an increasing tendency during 1995-2015. While landscape leakiness in several typical areas was higher with fluctuated change, such as Shaoguan, Nanxiong and Qingyuan. Land use changes, especially forest and construction land were major factors affecting landscape leakiness variation. Specifically, LI presented inverse variation with changes in the proportion of forest land area, and the same tendency with construction land. Results from this study can provide a reference for the applicability of LI and the evaluation of water and soil conservation function of riparian vegetation buffer zone in subtropical areas.

Key words: leakiness index, vegetation and terrain, soil and water conservation, riparian vegetation buffer zone, spatio-temporal variation, influencing factors, Beijiang River