生态科学2025，Vol.44Issue(3)：74-83,10.DOI:10.14108/j.cnki.1008-8873.2025.03.008
2000-2021年广东省植被净初级生产力时空变化及其影响因子分析
The spatiotemporal change of NPP and its influencing factors in Guangdong Province from 2000 to 2021
摘要
Abstract
Net Primary Productivity(NPP)is a key indicator of the productivity of plant communities under natural environmental conditions.It is also a vital factor determining the ecosystem carbon budget and reflecting the ecosystem response to global changes.Based on the Terrestrial Ecosystem Carbon Flux Model(TEC model),Theil-Sen Median trend analysis,Mann-Kendall test and Pearson correlation analysis were used to explore the temporal and spatial changes of vegetation NPP in Guangdong Province from 2000 to 2021,and quantitatively analyze the relative contribution of environmental factors in the process of vegetation NPP changes.Results showed that:(1)The average annual vegetation NPP of Guangdong Province from 2000 to 2021 was(984.28±119.68)g·(m2·a)-1,and the proportion of vegetation NPP in high-value areas was significantly greater than that in low-value areas.Vegetation growth has an apparent seasonality,with the highest vegetation NPP in summer and the lowest vegetation NPP in winter.(2)In the past 22 years,the vegetation NPP in Guangdong Province had an overall increasing trend,the change rate of NPP of vegetation was 6.30 g·(m2·a)-1.Specifically,the area where vegetation NPP significantly increases was mainly observed in the western part of Guangdong Province(especially Yunfu,Yangjiang,and Maoming),and significant decreasing trends were found in the central part of Chaoshan,the northern part of Zhongshan and the southern part of Zhanjiang.(3)On the monthly scale,the vegetation NPP showed positive correlations with temperature,solar radiation,sunshine hours,precipitation,and relative humidity.The delayed response time of vegetation NPP to precipitation was 1 month,and that to relative humidity was 2 months.(4)On the whole,the vegetation NPP in Guangdong Province was negatively correlated with PM2.5.It was positively correlated with elevation,slope and ground undulation.With the increase of elevation,slope and ground undulation,the proportion of vegetation NPP high-value areas showed a decreasing trend.The results can provide theoretical basis for ecological environment assessment and vegetation response to climate change in Guangdong Province.关键词
植被净初级生产力/时空变化/环境因子/定量分析/广东省Key words
net primary productivity of vegetation/spatial change/environmental factors/quantitative analysis/Guangdong Province分类
农业科技引用本文复制引用
曾怡娟,向昆仑,王刚,张柳红,李俊杰,邓玉娇,徐杰..2000-2021年广东省植被净初级生产力时空变化及其影响因子分析[J].生态科学,2025,44(3):74-83,10.基金项目
风云卫星应用先行计划(2023)-气候应用专项(FY-APP-ZX-2023.02) （2023）
中国气象局创新发展专项(CXFZ2024J062) （CXFZ2024J062）
中国气象局秦岭和黄土高原生态环境气象重点实验室开放研究基金(2024Y-15) （2024Y-15）
广东省气象局科学技术研究项目(GRMC2021M15) （GRMC2021M15）
