Spatial and Temporal Succession and Driving Factors of Vegetation Net Primary Productivity in Baiyangdian Watershed

Yan Feng; Li Chenyang; Lu Zhixue; Huang Xuehan; PangJiao; Liu Xin; Chen Yaheng

doi:10.13961/j.cnki.stbctb.2024.02.035

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Spatial and Temporal Succession and Driving Factors of Vegetation Net Primary Productivity in Baiyangdian Watershed

- Spatial and Temporal Succession and Driving Factors of Vegetation Net Primary Productivity in Baiyangdian Watershed
- Bulletin of Soiland Water Conservation Vol. 44, Issue 2, Pages: 345-353(2024)
- 作者机构：
  
  1. 河北农业大学国土资源学院,河北,保定,071000
  2. 河北省农田生态环境重点实验室,河北,保定,071001
  3. 河北农业大学渤海学院, 河北黄骅,061100
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.02.035
  CLC： TP79;Q948.15
- Published：2024
- 稿件说明：
移动端阅览
Yan Feng, Li Chenyang, Lu Zhixue, et al. Spatial and Temporal Succession and Driving Factors of Vegetation Net Primary Productivity in Baiyangdian Watershed[J]. Bulletin of Soiland Water Conservation, 2024, 44(2): 345-353.
DOI：

Yan Feng, Li Chenyang, Lu Zhixue, et al. Spatial and Temporal Succession and Driving Factors of Vegetation Net Primary Productivity in Baiyangdian Watershed[J]. Bulletin of Soiland Water Conservation, 2024, 44(2): 345-353. DOI： 10.13961/j.cnki.stbctb.2024.02.035.

摘要

[目的

]

评估白洋淀流域长时间序列植被生长状况及驱动机制，为进一步保护雄安新区生态环境质量提供理论支撑。 [方法

]

基于2007—2020年NASA MOD17A3H的NPP数据，运用趋势分析、变异系数、Hurst指数、地理探测器等方法，探究白洋淀流域植被NPP的时空分异、变化趋势及驱动因素。 [结果

]

①白洋淀流域植被年均NPP值在217.1～357.6 g/(m

·a)之间变化，在空间上呈现西北部山区较高，东南部平原区较低的分布规律； ②超过80%的研究区域植被NPP具有明显波动性，其中西北山区和东南平原波动性最强； ③绝大部分植被NPP随年份呈增加趋势，并且由东南至西北，从不显著增加逐渐过渡到显著增加状态； ④研究区内，西北部地区为Hurst指数小于0.5的反向持续性区域，未来植被NPP可能会出现增加趋势减缓的问题，西南地区为正向持续区，未来变化趋势良好； ⑤研究区植被NPP空间分异的主导驱动因素为温度、人口、第三产业等，双因子交互作用的影响力明显高于单因子，其中降水和温度的交互作用最强。 [结论

]

2007—2020年，白洋淀流域植被NPP逐渐增强，温度虽是影响NPP空间分异的主要驱动因素，但社会因素发挥的作用在逐渐增强。

Abstract

[Objective] The long-term vegetation growth status and driving mechanism in the Baiyangdian watershed were assessed in order to provide theoretical support for further protection of the ecological environmental quality in the Xiongan New Area. [Methods] Based on the net primary productivity (NPP) data of NASA MOD17A3H from 2007 to 2020

we used trend analysis

coefficient of variation

Hurst index

and geographical detector to investigate the spatial and temporal variability of vegetation NPP

change trends

and driving factors in the Baiyangdian basin. [Results] ① The mean annual NPP values for vegetation in the Baiyangdian basin varied from 217.1 to 357.6 g/(m2·a)

with a spatial distribution pattern of higher in the northwestern mountainous areas and lower in the southeastern plains; ② More than 80% of the vegetation NPP in the study area had obvious fluctuations

with the strongest fluctuations in the northwestern mountainous areas and the southeastern plains; ③The vast majority of vegetation NPP tended to increase over the years

and gradually transitioned from a non-significant to a significant increase from southeast to northwest; ④ Within the study area

the north-western region was a reverse persistence area with Hurst index less than 0.5. Future vegetation NPP may have the problem of slowing down the increasing trend. The southwestern region was a positive persistence area with a favorable trend of future changes; ⑤ The dominant drivers of vegetation NPP spatial differentiation in the study area were temperature

population

tertiary industry

etc. The influence of the two-factor interaction was significantly higher than that of a single factor

with the strongest interaction between precipitation and temperature. [Conclusions] During 2007—2020

the vegetation NPP in the Baiyangdian Basin has gradually increased. Although temperature was the main driving factor affecting the spatial differentiation of NPP

the role played by social factors has been gradually increasing.

关键词

Keywords

references

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