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植被NPP时空变化特征及驱动因子分析——以延安地区为例
引用本文:马苏,崔国屹,赵玉,赵莹,刘雪珍,张承栋. 植被NPP时空变化特征及驱动因子分析——以延安地区为例[J]. 中国农学通报, 2022, 38(19): 93-98. DOI: 10.11924/j.issn.1000-6850.casb2021-0733
作者姓名:马苏  崔国屹  赵玉  赵莹  刘雪珍  张承栋
作者单位:1.渭南师范学院环境与生命科学学院,陕西渭南 714099;2.长安大学土地工程学院,西安 710054
基金项目:陕西省高校科协青年人才托举计划项目(20180705);渭南师范学院省级大学生创新创业训练计划项目“贫困地区土壤水分研究——以陕北米脂县为例”(S202010723072)
摘    要:基于2000—2009年植被净初级生产力(NPP)数据,结合气候、植被、地形和土壤4个自然因子,利用趋势分析和地理探测器等方法,揭示延安地区NPP时空变化及其驱动力。结果表明:(1)2000—2009年研究区NPP总体上呈波动上升趋势。(2)延安地区NPP的空间分布呈“南高北低”的分布特征。(3)降水、植被类型、高程和气温为延安地区NPP空间分布格局的主要驱动因子,任意2种自然因子交互作用的贡献率均高于单因子。研究区实施的退耕还林工程和气候波动变化是导致NPP年际增加的主要原因,NPP空间分异受多种自然因子的交互影响。开展NPP时空变化及其驱动力研究可为区域生态系统恢复提供理论依据。

关 键 词:NPP  时空变化  地理探测器  趋势分析  驱动因子  延安地区  
收稿时间:2021-07-28

Spatial-temporal Variation Characteristics of NPP and the Driving Factors: A Case Study of Yan’an
MA Su,CUI Guoyi,ZHAO Yu,ZHAO Ying,LIU Xuezhen,ZHANG Chengdong. Spatial-temporal Variation Characteristics of NPP and the Driving Factors: A Case Study of Yan’an[J]. Chinese Agricultural Science Bulletin, 2022, 38(19): 93-98. DOI: 10.11924/j.issn.1000-6850.casb2021-0733
Authors:MA Su  CUI Guoyi  ZHAO Yu  ZHAO Ying  LIU Xuezhen  ZHANG Chengdong
Affiliation:1.College of Environment and Life Sciences, Weinan Normal University, Weinan, Shaanxi 714099;2.School of Land Engineering, Chang’an University, Xi’an 710054
Abstract:Based on the net primary productivity of vegetation (NPP) from 2000 to 2009, and considering the four natural factors of climate, vegetation, topography and soil, we used trend analysis and geodetector method to reveal the temporal and spatial variation of NPP and its driving factors in Yan’an. The results showed that: (1) from 2000 to 2009, NPP in the study area presented an upward trend in general; (2) the spatial distribution of NPP in the study area was high in the south and low in the north; (3) precipitation, vegetation type, elevation and temperature were the main driving factors of the spatial distribution pattern of NPP in the study area. The contribution rate of interaction of any two natural factors was higher than that of single factor. China’s Grain to Green Program conducted in the study area and the climate fluctuations were the main reasons for the interannual increase of the NPP. The spatial differentiation of NPP was affected by the interaction of various natural factors. The study on spatial and temporal variation of NPP and its driving force could provide a theoretical basis for regional ecosystem restoration.
Keywords:NPP  spatial-temporal variation  geodetector  trend analysis  driving factors  Yan’an  
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