2001-2022年天津市NPP时空动态及与气候因子的关系
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1.天津大学;2.西南大学;3.天津师范大学;4.南开大学;5.华东师范大学

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X321

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国家自然科学基金面上项目(41971249)


Spatial and temporal dynamics of NPP and its relationship with climate factors in Tianjin from 2001 to 2022.
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    摘要:

    [目的] 植被因受到热、水、气等要素的变化而发生生产力的改变,因此需要探究植被生产力的变化规律及其对气候因子的响应情况。[方法] 基于GEE(Google Earth Engine)对天津市2001-2022年植被生产力(NPP)进行计算,采用Slope趋势分析、F检验、重心迁移模型、标准差椭圆模型等方法分析NPP时空变化格局,采用多因素敏感性分析、相关系数评价等方法定量评估在温度、降水、风速变化下NPP的响应特征。[结果] 结果表明:(1)天津市年均植被生产力呈波动性上升的趋势,波动范围是53.46~96.54 g C m-2 a-1;(2)天津市植被生产力北高南低、西高东低,重心集中分布在中部区域,2001-2022年间重心逐步向南迁移;(3)天津市植被生产力对气候因子的响应具有明显滞后性,对温度和降水响应的滞后期为1个月,对风速响应的滞后期为3个月。 [结论] 本研究分析了天津市NPP时空变化格局,识别了天津市植被生产力与气候因子的关系,量化了对气候因子响应的滞后时间,为评估不同气候条件对植被生产力的影响提供了研究范例。

    Abstract:

    [Objective] Vegetation productivity changes due to changes in heat, water, air and other factors, so it is necessary to explore the change law of vegetation productivity and its response to climate factors. [Methods] Based on GEE (Google Earth Engine), the vegetation productivity (NPP) of Tianjin during 2001-2022 was calculated, and the spatial and temporal variation pattern of NPP was analyzed by Slope trend analysis, F-test, barycentric migration model, standard deviation ellipse model and other methods. Multi-factor sensitivity analysis and correlation coefficient evaluation were used to quantitatively evaluate the NPP response characteristics under temperature, precipitation and wind speed changes. [Results] The results showed that: (1) The average annual vegetation productivity in Tianjin showed an increasing trend of fluctuation, and the fluctuation range was 53.46~96.54 g Cm-2a-1; (2) The vegetation productivity of Tianjin is higher in the north and lower in the south, and higher in the west and lower in the east. The center of gravity is concentrated in the central region, and the center of gravity gradually moves to the south during 2001-2022. (3) The response of vegetation productivity to climate factors in Tianjin has a significant lag time, with a lag time of 1 month for temperature and precipitation and 3 months for wind speed. [Conclusion] This study analyzed the spatio-temporal variation pattern of NPP in Tianjin, identified the relationship between vegetation productivity and climate factors, quantified the lag time of response to climate factors, and provided a research example for evaluating the impact of different climate conditions on vegetation productivity.

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  • 收稿日期:2024-06-11
  • 最后修改日期:2024-09-06
  • 录用日期:2024-09-09
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