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干旱区地理 ›› 2020, Vol. 43 ›› Issue (2): 425-433.doi: 10.12118/j.issn.1000-6060.2020.02.16

• 生物与土壤 • 上一篇    下一篇

生态建设背景下陕西省植被覆盖时空变化及其影响因素研究

钱琛,陈海滨,侯现慧   

  1. 西北农林科技大学经济管理学院,陕西 杨凌 712100
  • 收稿日期:2019-03-12 修回日期:2019-06-30 出版日期:2020-03-25 发布日期:2020-03-25
  • 通讯作者: 陈海滨(1981-),男,福建漳州人,副教授,硕士生导师,主要研究方向为土地利用与农村可持续发展.
  • 作者简介:钱琛(1996-),女,山西运城人,硕士研究生,主要研究方向为土地生态政策评价.E-mail:qccbbh@sohu.com
  • 基金资助:
    国家自然科学基金面上项目(71873098);教育部人文社科基金青年项目(16YJC630003)资助

Temporal and spatial variation of vegetation cover and its influencing factors in Shaanxi Province in the context of ecological construction

QIAN Chen,CHEN Hai-bin,HOU Xian-hui   

  1. College of Economics and Management,Northwest Agriculture and Forestry University,Yangling 712100,Shaanxi,China
  • Received:2019-03-12 Revised:2019-06-30 Online:2020-03-25 Published:2020-03-25

摘要: 为了逆转近年来生态退化趋势,中国实施了一系列国家级生态建设项目,植被恢复是其核心目标。基于MODIS NDVI数据产品、气象站点观测数据及统计年鉴等资料,分析了20022016年陕西省植被覆盖时空变化,并采用面板数据固定效应模型进行了归因研究。结果表明:(1)实施退耕还林及天然林保护工程以后,陕西省植被覆盖状况总体呈改善趋势,但存在明显的时间波动与空间差异。(2)生态建设项目对陕西省植被恢复产生了显著正向影响,且存在时滞效应;造林率增加1个百分点,3 a后各县NDVI值将平均增加0.012 3p<0.01),等同于年降水量增加56 mm的作用。(3)降水、气温的提高对陕西省植被恢复产生了显著正向影响,而人口与经济增长则产生了显著负向影响。因此,陕西省应继续加大生态建设项目投资力度,并加强监督与监测评价;积极推行生态移民政策,缓解人类活动带来的生态压力;调整经济结构、转变经济增长方式,摒弃消耗资源牺牲环境的粗放型发展模式

关键词: 生态建设, 植被覆盖, NDVI, 固定效应模型, 陕西省

Abstract:

Since the end of the 20th century,to reverse the trend of ecological degradation,China has implemented a series of national ecological construction projects and vegetation restoration has been the core goal.It is crucial to examine the effectiveness of ecological construction programs in Shaanxi Province,China,on vegetation restoration and clarify the roles of other driving factors.For this purpose,based on a dataset comprising MODIS NDVI data products,meteorological station observations,and socialeconomic statistics,the spatiotemporal changes of vegetation cover in Shaanxi from 2002 to 2016 were analyzed and a paneldata fixed effect model was built for attribution.The results show the following: (1) After the implementation of the Grain for Green Program and Natural Forest Conservation Program,the vegetation cover in Shaanxi showed an overall improving trend,but there were significant temporal fluctuations and spatial heterogeneities.(2) The ecological construction project exerted a significant and positive effect on vegetation restoration while it possessed a time lag.The NDVI value of each county is expected to increase by 0.012 3 after a 1% increase in afforestation rates three years ago,which is equivalent to the effect of increasing annual precipitation levels by 56 mm.(3) The precipitation and temperature increase had significant positive effects on vegetation restoration.The NDVI values for each county are expected to increase by 0.021 6 and 0.043 9 after a 100 mm increase in precipitation and a 1°C increase in temperature,respectively.However,the population and economic growth exerted a significant negative impact.The NDVI value for each county is expected to decrease by 0.033 1 and 0.031 5 after a 1 unit increase in population density and intensity of economic activity.To consolidate the achievements in vegetation restoration,it is necessary to continue increasing investments for ecological construction programs and strengthen supervision,monitoring,and evaluation.At the same time,an ecological migration policy should be actively implemented to relieve the ecological pressure brought about by human activities.The economic structure should also be adjusted and optimized,while the mode of economic growth should be transformed to abandon the extensive mode that exhausts resources and degrades the environment.In addition,unobserved factors that do not change with time,such as topography and geomorphology,have important impacts on vegetation coverage.Therefore,the government should follow the basic characteristics and laws of ecosystem succession and adapt measures to local conditions when designing and implementing ecological construction projects.

Key words: ecological construction, vegetation cover, NDVI, fixed effect model, Shaanxi Province