院报 ›› 2016, Vol. 33 ›› Issue (12): 138-143.DOI: 10.11988/ckyyb.20150765

• 信息技术应用 • 上一篇    下一篇

闽赣自然植被覆盖格局及其驱动机制分析

齐文a,b,邱炳文a,b,范占领a,b   

  1. 福州大学 a.地理空间信息技术国家地方联合工程研究中心;
    b.空间数据挖掘与信息共享教育部重点实验室,福州 350002
  • 收稿日期:2015-09-10 出版日期:2016-12-20 发布日期:2016-12-13
  • 通讯作者: 邱炳文(1973-),女,湖南浏阳人,研究员,博士,主要研究方向为时空数据挖掘,(电话)13194456541(电子信箱)qiubingwen@fzu.cn。
  • 作者简介:齐 文(1991-),女,陕西米脂人,硕士研究生,主要研究方向为遥感信息处理与应用,(电话)15529219196(电子信箱)qiwen2013@sina.cn。
  • 基金资助:
    国家自然科学基金面上基金项目(41471362)

Vegetation Cover Pattern in Fujian and Jiangxi Provinces and Its Driving Mechanism Based on Geographically Weighted Regression Model

QI Wen1,2, QIU Bing-wen1,2, FAN Zhan-ling1,2   

  1. 1.National-local Joint Engineering Laboratory of Geo-spatial Information Technology, Fuzhou University, Fuzhou 350002, China;
    2.Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China
  • Received:2015-09-10 Online:2016-12-20 Published:2016-12-13

摘要: 自然植被覆盖格局的研究对生态环境可持续发展具有十分重要的意义。以福建和江西2省为研究区,基于30 m分辨率的植被指数数据,运用地理加权回归模型,结合自然环境和人类活动因素,探索分析闽赣地区自然植被覆盖格局特征及其驱动机制。研究表明:①地形是影响闽赣自然植被覆盖程度的主要因素,江西和福建2省自然植被覆盖程度分别在高程[100,300)m和[300,500)m区间,与高程相关性最大;在坡度25°和10°以上,与坡度的相关性减弱。②江西主干河流附近农田和城镇交错,福建主干河流附近城镇和林地嵌套,2省自然植被覆盖程度与距河流距离的相关性差异显著。③距离城镇居民点5 km和4 km分别为江西和福建2省自然植被覆盖程度与距居民点距离相关性最弱处。

关键词: 地理加权回归模型, 闽赣地区, 植被指数, 自然植被覆盖格局, 驱动机制

Abstract: Researching the pattern of vegetation cover is of great significance for the sustainable development of eco-environment.In this article, the characteristics of vegetation cover pattern and its driving mechanism were investigated and analyzed using geographically weighted regression (GWR) model based on vegetation cover index data of 30m resolution.Fujian Province and Jiangxi Province were selected as study area, and natural and human factors were considered in the analysis. Research results revealed that 1) in Fujian and Jiangxi provinces, topography is a main factor affecting the vegetation cover degree which has the strongest correlation with elevation within the range of [100,300) m and [300,500) m respectively, and weak correlation with slope gradient, above 25 ℃ and 10 ℃ respectively; 2) the correlation between vegetation cover degree and distance from river for the two provinces differ greatly. In Jiangxi Province, the mainstream is surrounded by towns and cropland, while in Fujian Province, the mainstream is surrounded by towns and woodland; 3) the distance to residence at 5 km and 4 km has the weakest correlation with vegetation cover degree in Jiangxi and Fujian, respectively.

Key words: geographically weighted regression model, Fujian and Jiangxi Provinces, vegetation index, natural vegetation cover pattern, driving mechanism

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