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中国沙漠 ›› 2021, Vol. 41 ›› Issue (6): 213-222.DOI: 10.7522/j.issn.1000-694X.2021.00116

• • 上一篇    

黄河流域植被净初级生产力时空特征及自然驱动因子

王娟1,2(), 何慧娟1,2, 董金芳1,2, 郭斌3,4()   

  1. 1.陕西省农业遥感与经济作物气象服务中心,陕西 西安 710014
    2.陕西省气象局 秦岭和黄土高原生态环境气象重点实验室,陕西 西安 710014
    3.中国气象局成都高原气象研究所 高原与盆地暴雨旱涝灾害四川省重点实验室,四川 成都 610072
    4.阿坝州气象局,四川 马尔康 624000
  • 收稿日期:2021-07-28 修回日期:2021-09-16 出版日期:2021-11-20 发布日期:2021-12-17
  • 通讯作者: 郭斌
  • 作者简介:郭斌(E-mail: abgb_001@163.com
    王娟(1981—),女,陕西西安人,硕士研究生,主要研究生态环境遥感。E-mail: wangj_81@126.com
  • 基金资助:
    陕西省自然科学基金项目(2020JQ-978);陕西省气象局秦岭和黄土高原生态环境气象重点实验室面上项目(2021G-31);高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金项目(SCQXKJZD2020001)

Spatio-temporal distribution of vegetation net primary productivity in the Yellow River Basin in 2000-2019 and its natural driving factors

Juan Wang1,2(), Huijuan He1,2, Jinfang Dong1,2, Bin Guo3,4()   

  1. 1.Shaanxi Meteorological Service Center of Agricultural Remote Sensing and Economic Crop,Xi’an 710014,China
    2.Shaanxi Key Laboratory of Eco-Environment and Meteorology for the Qinling Mountains and Loess Plateau,Shaanxi Meteorological Bureau,Xi’an 710014,China
    3.Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,Institute of Plateau Meteorology,China Meteorological Administration,Chengdu 610072,China
    4.Aba Prefecture Meteorological Bureau,Barkam 624000,Sichuan,China
  • Received:2021-07-28 Revised:2021-09-16 Online:2021-11-20 Published:2021-12-17
  • Contact: Bin Guo

摘要:

植被净初级生产力(NPP)是陆地生态系统的关键指标,是地表碳循环的重要组成部分,能够用来较客观地评价生态系统变化及其可持续性。利用MOD17A3HGF数据、土地利用数据、气象数据、地形数据,应用变化趋势分析、相关性分析及地理探测器模型等方法,探讨了2000—2019年黄河流域NPP(以C计量)时空格局及演变特征,并对影响NPP的自然因子进行量化研究。结果表明:(1)2000—2019年黄河流域植被NPP整体呈极显著上升趋势(P<0.01)。流域平均年NPP为281.39 g·m-2,变化范围为270—347 g·m-2,增速为5.75 g·m-2·a-1。流域NPP显著增加的区域占整个流域面积的99.53%,空间分布呈西北低东南高的趋势。(2)不同土地利用类型的植被NPP年平均值差异较大,林地是对该区域植被NPP贡献最大的土地利用类型。(3)NPP与海拔之间存在一定相关性,NPP与气温、降水显著正相关的区域分别占总面积的23.20%和44.17%,自然驱动因子中海拔、气温及降水对植被NPP的驱动作用差异明显,降水>气温>海拔,各因子之间的交互作用均为双因子增强。

关键词: 植被NPP, 黄河流域, 时空特征, 自然因素, 地理探测器

Abstract:

The spatio-temporal dynamics of net primary productivity (NPP) and its drivers play a critical role in understanding the global changes of terrestrial ecosystems and corresponding carbon balance. Based on the MOD17A3HGF dataset, we studied the spatio-temporal evolution of NPP in the Yellow River Basin from 2000 to 2019 using the trend analysis and Geo-Detector. Driving mechanisms including climate, topography and land cover were also explored for NPP variations using the Geo-Detector model. Results showed that: (1) The temporal variation of NPP (measuring by C) in the Yellow River Basin presented a significant growth trend from 2000 to 2019, with a rate of 5.75 g·m-2·yr-1. The annual average of NPP was 281.39 g·m-2 with a range of 270-347 g·m-2. In terms of the spatial distribution, The NPP showed a significant increasing trend in 99.53% of the Yellow River Basin. (2) The annual average of NPP of different land cover types was different. Forest was the most important types contributing to the ecosystems of the Yellow River Basin. (3) From 2000 to 2019, the average temperature, rain and altitude were among the most important natural factors that drove the spatial distribution of NPP. All natural factors showed an increasing contribution in explaining the NPP variation. The area with significant positive correlation between NPP and temperature and rain accounted for 23.20% and 44.17% of the total basin, respectively. There were significant differences in the contribution rate with the order of rain>temperature> altitude. The impact of interaction among the factors on NPP demonstrated two-factor enhancement.

Key words: NPP, Yellow River Basin, spatio-temporal distribution, nature factors, Geo-Detector

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