Spatiotemporal Characteristics of Vegetation Net Primary Productivity in Yangtze River Basin Based on ZGS and Thornthwaite Memorial Models

Xu Yong; Zhou Qinghua; Dou Shiqing; Guo Zhendong; Wu Jiefeng; Zheng Zhiwe

doi:10.13961/j.cnki.stbctb.2022.01.030

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Spatiotemporal Characteristics of Vegetation Net Primary Productivity in Yangtze River Basin Based on ZGS and Thornthwaite Memorial Models

- Spatiotemporal Characteristics of Vegetation Net Primary Productivity in Yangtze River Basin Based on ZGS and Thornthwaite Memorial Models
- Bulletin of Soiland Water Conservation Vol. 42, Issue 1, Pages: 225-232(2022)
- 作者机构：
  
  1. 桂林理工大学测绘地理信息学院,广西,桂林,541006
  2. 玉林市福绵区自然资源技术信息中心,广西,玉林,537000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.01.030
  CLC： Q948
- Published：2022
- 稿件说明：
移动端阅览
Xu Yong, Zhou Qinghua, Dou Shiqing, et al. Spatiotemporal Characteristics of Vegetation Net Primary Productivity in Yangtze River Basin Based on ZGS and Thornthwaite Memorial Models[J]. Bulletin of Soiland Water Conservation, 2022, 42(1): 225-232.
DOI：

Xu Yong, Zhou Qinghua, Dou Shiqing, et al. Spatiotemporal Characteristics of Vegetation Net Primary Productivity in Yangtze River Basin Based on ZGS and Thornthwaite Memorial Models[J]. Bulletin of Soiland Water Conservation, 2022, 42(1): 225-232. DOI： 10.13961/j.cnki.stbctb.2022.01.030.

摘要

[目的

]

研究长江流域陆地植被生态系统初级净生产力(NPP)的时空演变特征，为政府部门建立和调整生态功能恢复项目提供参考。[方法

]

以长江流域为研究区，基于2000—2019年的降水和气温数据，采用周广胜—张新时模型(ZGS)和Thornthwaite Memorial (TM)模型估算NPP，并进一步利用皮尔逊相关分析、一元线性回归分析、Mann-Kendall显著性检验等，对比分析长江流域陆地植被生态系统NPP时空演变特征。[结果

]

①基于上述两个模型模拟得到的长江流域NPP时空演变趋势基本一致，相关系数R为0.982，呈现显著正相关关系；②2000—2019年长江流域陆地植被生态系统实际NPP与潜在NPP均呈上升趋势，上升速率分别为6.85，2.74 g/(m

·a)。③长江流域实际NPP和潜在NPP在空间上呈东南高西北低的分布格局，低值区域主要分布在草地生态系统；高值区域大部分分布在森林生态系统和农田生态系统。④2000—2019年长江流域实际NPP与潜在NPP呈上升趋势的面积分别占研究区总面积的80.65%和84.81%，主要分布在云南、青海、西藏、四川北部及浙江、上海大部分区域；呈下降趋势的面积分别占研究区总面积的19.35%和15.19%，主要分布在河南、湖北等地区。[结论

]

2000—2019年来长江流域各植被生态系统植被NPP均呈上升趋势。长江流域自然资源管理和环境保护政策在促进生态系统保护与发展方面成效显著。

Abstract

[Objective] The temporal and spatial evolution characteristics of net primary productivity (NPP) of the terrestrial vegetation ecosystem in the Yangtze River basin were studied to provide a reference for government departments to establish and adjust ecological function restoration projects. [Methods] The Zhou Guangsheng-Zhang Xinshi model (ZGS) and the Thornthwaite Memorial model were used to estimate NPP in the Yangtze River basin based on precipitation and temperature data from 2000 to 2019. Furthermore

Pearson correlation coefficient

linear regression analysis

and the Mann-Kendall trend test were applied to analyze the spatiotemporal variation of vegetation NPP of terrestrial ecosystems in the Yangtze River basin. [Results] ① The spatial and temporal variation of NPP derived from the above two models were basically homogeneous in the Yangtze River basin. Actual NPP and potential NPP were positively correlated (0.982). ② Both actual NPP and potential NPP in the Yangtze River basin increased over time at a rate of 6.85 g/(m2·yr) and 2.74 g/(m2·yr)

respectively

from 2000 to 2019. ③ Actual NPP and potential NPP were higher in the southeast and lower in the northwest portions of the Yangtze River basin. The low values were mainly distributed in grassland ecosystems

and the high values were mostly distributed in forest ecosystems and farmland ecosystems. ④ The areas with increasing trends for actual NPP accounted for 80.64% of the total area

and 84.79% of the total area for potential NPP in the Yangtze River basin

mainly distributed in Yunnan

Qinghai

Tibet

the north of Sichuan

and most regions of Zhejiang and Shanghai. The areas with decreasing trends actual NPP accounted for 19.36% of the total area and 15.19% of the total area for potential NPP in the Yangtze River basin

mainly distributed in He’nan and Hubei Province. [Conclusion] The NPP of vegetation ecosystems in the Yangtze River basin has increased in the past 20 years

indicating that natural resource management and environmental protection policy implementation in the Yangtze River basin has produced remarkable positive effects on regional ecosystem protection and development.

关键词

Keywords

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