陆地生态系统碳收支不仅是衡量地表生态环境的重要参数,也是全球碳循环的关键变量。以国家低碳试点城市、可持续发展创新示范区——湖南省郴州市为研究区域,耦合多源遥感数据,结合土壤呼吸地统计模型、趋势分析、地理探测器和残差分析...陆地生态系统碳收支不仅是衡量地表生态环境的重要参数,也是全球碳循环的关键变量。以国家低碳试点城市、可持续发展创新示范区——湖南省郴州市为研究区域,耦合多源遥感数据,结合土壤呼吸地统计模型、趋势分析、地理探测器和残差分析等方法,系统开展了2001~2020年植被净生态系统生产力(NEP)时空变化特征分析及影响因素探究。结果表明:(1)在时间上,2001~2020年郴州市总体表现为碳汇,年均固碳总量达5.943×106 T Ca^(-1),NEP均值310.351 g Cm^(-2),平均增长速率2.066 g Cm^(-2)a^(-1)。(2)在空间上,NEP总体呈西高东低、北高南低分布,显著增加(P<0.05)的区域面积占比为40.304%,主要集中在西部。不同植被类型碳汇水平差异表现为:林地(328.100 g Cm^(-2))>草地(318.650 g Cm^(-2))>耕地(257.509 g Cm^(-2))。(3)郴州市生态系统碳收支驱动机制复杂。NEP与气温、日照时数、相对湿度和高程等因子呈正相关,而与降水量和地表净辐射呈负相关,双因子对NEP空间分异性的交互作用明显高于单因子。(4)自然因子是郴州市植被NEP变化的主导因素(95.896%),但在城市边缘区等人类活动剧烈的区域,土地利用/覆被变化平均贡献率达59.761%。研究结果有助于准确把握区域陆地生态系统碳收支时空特征及其内在驱动机制,并为区域生态系统管理与可持续发展提供科学依据。展开更多
Background Hemorrhagic fever with renal syndrome(HFRS)poses a significant public health concern in China.However,the spatiotemporal patterns and underlying drivers of its transmission are not fully understood.This stu...Background Hemorrhagic fever with renal syndrome(HFRS)poses a significant public health concern in China.However,the spatiotemporal patterns and underlying drivers of its transmission are not fully understood.This study aims to investigate spatiotemporal heterogeneity of HFRS incidence at the city level and explore its potential influencing factors.Methods Joinpoint regression was utilized to analyze city-level HFRS incidence data(n=314 cities,2005–2021)collected from the National Infectious Disease Surveillance System.Furthermore,we employed the Geodetector method to identify the potential driving factors from a set of meteorological,vegetation,and urbanization variables.Results The results from Joinpoint regression analysis revealed an overall declining trend in city-level HFRS incidence across China from 2005 to 2021.Of the cities analyzed,126 showed an upward trend[the average annual percent change,(AAPC)>0],176 a downward trend(AAPC<0),and 12 remained stable(AAPC=0).Notably,upward-trend cities were predominantly concentrated in South China.Geodetector analysis indicated that selected climatic and vegetation factors accounted for 19–56%of the spatiotemporal heterogeneity in HFRS incidence,whereas urbanization factors explained only 3–5%.However,synergistic interactions between temperature and urbanizationrelated variables(i.e.,land-use,economic,and demographic dimensions)significantly enhanced their explanatory power,particularly in upward-trend cities,where the combinations increased explanatory capacity by 124–184%.Conclusion In summary,while climatic and vegetation factors remain the primary drivers of the spatiotemporal heterogeneity of HFRS epidemics in China,urbanization also exerts non-negligible influence on city-level incidence.This research offers valuable insights for public health authorities to strengthen their intervention capabilities against this disease.展开更多
文摘陆地生态系统碳收支不仅是衡量地表生态环境的重要参数,也是全球碳循环的关键变量。以国家低碳试点城市、可持续发展创新示范区——湖南省郴州市为研究区域,耦合多源遥感数据,结合土壤呼吸地统计模型、趋势分析、地理探测器和残差分析等方法,系统开展了2001~2020年植被净生态系统生产力(NEP)时空变化特征分析及影响因素探究。结果表明:(1)在时间上,2001~2020年郴州市总体表现为碳汇,年均固碳总量达5.943×106 T Ca^(-1),NEP均值310.351 g Cm^(-2),平均增长速率2.066 g Cm^(-2)a^(-1)。(2)在空间上,NEP总体呈西高东低、北高南低分布,显著增加(P<0.05)的区域面积占比为40.304%,主要集中在西部。不同植被类型碳汇水平差异表现为:林地(328.100 g Cm^(-2))>草地(318.650 g Cm^(-2))>耕地(257.509 g Cm^(-2))。(3)郴州市生态系统碳收支驱动机制复杂。NEP与气温、日照时数、相对湿度和高程等因子呈正相关,而与降水量和地表净辐射呈负相关,双因子对NEP空间分异性的交互作用明显高于单因子。(4)自然因子是郴州市植被NEP变化的主导因素(95.896%),但在城市边缘区等人类活动剧烈的区域,土地利用/覆被变化平均贡献率达59.761%。研究结果有助于准确把握区域陆地生态系统碳收支时空特征及其内在驱动机制,并为区域生态系统管理与可持续发展提供科学依据。
基金financial support from the National Key R&D Program of China(2023YFC2307502)financial support from the Fundamental Research Funds for Central Universities(East China Normal University).
文摘Background Hemorrhagic fever with renal syndrome(HFRS)poses a significant public health concern in China.However,the spatiotemporal patterns and underlying drivers of its transmission are not fully understood.This study aims to investigate spatiotemporal heterogeneity of HFRS incidence at the city level and explore its potential influencing factors.Methods Joinpoint regression was utilized to analyze city-level HFRS incidence data(n=314 cities,2005–2021)collected from the National Infectious Disease Surveillance System.Furthermore,we employed the Geodetector method to identify the potential driving factors from a set of meteorological,vegetation,and urbanization variables.Results The results from Joinpoint regression analysis revealed an overall declining trend in city-level HFRS incidence across China from 2005 to 2021.Of the cities analyzed,126 showed an upward trend[the average annual percent change,(AAPC)>0],176 a downward trend(AAPC<0),and 12 remained stable(AAPC=0).Notably,upward-trend cities were predominantly concentrated in South China.Geodetector analysis indicated that selected climatic and vegetation factors accounted for 19–56%of the spatiotemporal heterogeneity in HFRS incidence,whereas urbanization factors explained only 3–5%.However,synergistic interactions between temperature and urbanizationrelated variables(i.e.,land-use,economic,and demographic dimensions)significantly enhanced their explanatory power,particularly in upward-trend cities,where the combinations increased explanatory capacity by 124–184%.Conclusion In summary,while climatic and vegetation factors remain the primary drivers of the spatiotemporal heterogeneity of HFRS epidemics in China,urbanization also exerts non-negligible influence on city-level incidence.This research offers valuable insights for public health authorities to strengthen their intervention capabilities against this disease.
