Spatial and Temporal Dynamics of Vegetation Net Primary Production and Its Relationship with Climate Factors in Tianjin City from 2001 to 2022

Zhang Ying; Huang Zhimei; Meng Weiqing; Li Hongyuan; Yuan Xuesong; Yang Fei; Wang Hongcheng

doi:10.13961/j.cnki.stbctb.2024.06.029

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Spatial and Temporal Dynamics of Vegetation Net Primary Production and Its Relationship with Climate Factors in Tianjin City from 2001 to 2022

- Spatial and Temporal Dynamics of Vegetation Net Primary Production and Its Relationship with Climate Factors in Tianjin City from 2001 to 2022
- Bulletin of Soiland Water Conservation Vol. 44, Issue 6, Pages: 278-287(2024)
- 作者机构：
  
  1. 天津大学建筑学院,天津,300072
  2. 西南大学地理科学学院,重庆,400700
  3. 天津师范大学地理学部,天津,300387
  4. 南开大学环境科学与工程学院,天津,300350
  5. 华东师范大学地理科学学院,上海,200241
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.06.029
  CLC： Q148;X321;X826
- Published：2024
- 稿件说明：
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Zhang Ying, Huang Zhimei, Meng Weiqing, et al. Spatial and Temporal Dynamics of Vegetation Net Primary Production and Its Relationship with Climate Factors in Tianjin City from 2001 to 2022[J]. Bulletin of Soiland Water Conservation, 2024, 44(6): 278-287.
DOI：

Zhang Ying, Huang Zhimei, Meng Weiqing, et al. Spatial and Temporal Dynamics of Vegetation Net Primary Production and Its Relationship with Climate Factors in Tianjin City from 2001 to 2022[J]. Bulletin of Soiland Water Conservation, 2024, 44(6): 278-287. DOI： 10.13961/j.cnki.stbctb.2024.06.029.

摘要

[目的

]

定量分析植被生产力的变化规律及其对气候因子的响应情况，为评估不同气候条件下的城市碳汇作用以及提升城市生态系统碳汇等提供科学参考。[方法

]

基于GEE (google earth engine)对天津市2001—2022年植被净初级生产力(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植被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、风速变化下植被NPP的响应特征。[结果

]

①天津市年均植被NPP呈波动性上升的趋势，波动范围是53.46~96.54 g/(m

·a)(以C计)。②天津市植被NPP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NPP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

]

天津市NPP变化存在较大的时空异质性，且受温度、降水、风速影响，对气候因子响应的滞后效应在1~3个月。

Abstract

[Objective] The changes of vegetation net primary production (NPP) and its response to climate factors were quantitatively analyzed to provide scientific reference for assessing the role of urban carbon sequestration under different climate conditions and improving urban ecosystem carbon sequestration. [Methods] Based on GEE (Google Earth Engine)

the NPP of Tianjin City 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] ① The average annual vegetation NPP in Tianjin City showed an increasing trend of fluctuation

and the fluctuation range was 53.46—96.54 g/(m2·a) (calculated by C); ② The vegetation NPP of Tianjin City 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 it gradually moved to the south during 2001—2022. ③ The response of vegetation NPP to climate factors in Tianjin City has a significant lag time of 1 month for temperature and precipitation and 3 months for wind speed. [Conclusion] The variation of NPP in Tianjin City has great spatiotemporal heterogeneity and is affected by temperature

precipitation

and wind speed

with a lag effect of 1—3 months in response to climate factors.

关键词

Keywords

references

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