For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological...For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological index(RSEI)was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991,2001,2011,and 2021.Spatial autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River Basin.Furthermore,geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental quality.The results verified that:1)From 1991 to 2021,the ecological environmental quality of the Lijiang River Basin demonstrated significant improvement.The area with good and excellent ecological environmental quality in proportion increased by 19.69%(3406.57 km^(2)),while the area with fair and poor ecological environmental quality in proportion decreased by 10.76%(1860.36 km^(2)).2)Spatially,the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the periphery.Specifically,poor ecological environmental quality characterized the Guilin urban area,Pingle County,and Lingchuan County.3)From 1991 to 2021,a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River Basin.Areas with high-high agglomeration were predominantly forests and grasslands,indicating good ecological environmental quality,whereas areas with low-low agglomeration were dominated by cultivated land and construction land,indicating poor ecological environmental quality.4)Annual average precipitation and temperature exerted the most significant influence on the ecological environmental quality of the basin,and their interactions with other factors had the great influence.This study aimed to enhance understanding of the evolution of the ecological environment in the Lijiang River Basin of Guangxi Zhuang Autonomous Region and provide scientific guidance for decision-making and management related to ecology in the region.展开更多
XRF岩芯连续扫描在近30年间被广泛用于获取不同地理环境的湖泊沉积序列元素分布及其指示的环境意义,特别是湖泊密集的“亚洲水塔”青藏高原。然而,XRF扫描数据的准确性受沉积岩芯物理属性的显著影响,可能导致记录信息的过度或错误解释...XRF岩芯连续扫描在近30年间被广泛用于获取不同地理环境的湖泊沉积序列元素分布及其指示的环境意义,特别是湖泊密集的“亚洲水塔”青藏高原。然而,XRF扫描数据的准确性受沉积岩芯物理属性的显著影响,可能导致记录信息的过度或错误解释。本研究基于青藏高原南部哲古错(ZGC)内近4400年以来由植物和泥沙混合沉积而成的2.16 m完整岩芯(ZGC21),利用XRF岩芯连续扫描获取其元素信号值和色度分布,结合含水量、粒度、烧失量等物理特征分析,表明ZGC岩芯层理清晰、定年精准、气候信息记录全面,是重建印度夏季风和青藏高原南部气候变化的最佳载体之一。稳定元素(Al、 K、 Fe、 Mn、 Rb、 Si、 Ti、 Zr)信号值分布均不能用于指示ZGC岩芯不同层理的碎屑物质输入比例,但Zr/Rb比值则可反映流域内物质输入的真实特征;Ca和Br元素信号值分布分别指示ZGC21岩芯的碳酸盐和有机质含量变化。基于可靠元素信号分布和AMS-14C精确定年,青藏高原南部在太阳辐射强度变化驱动下于4400~3500 a B. P.和850~80 a B. P.年间均处于寒冷气候环境中,低温不足以支撑湖内植被的生存,而在2750~1830 a B. P.和1320~850 a B. P.年间则相反。上述结果为XRF岩芯连续扫描数据的正确应用和准确解释提供科学示范,也为重建该地区过去4400年人地关系提供年代际尺度环境演变框架。展开更多
基金supported by the Guangxi Natural Science Foundation(2020GXNSFAA297266)Doctoral Research Foundation of Guilin University of Technology(GUTQDJJ2007059)Guangxi Hidden Metallic Mineral Exploration Key Laboratory。
文摘For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological index(RSEI)was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991,2001,2011,and 2021.Spatial autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River Basin.Furthermore,geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental quality.The results verified that:1)From 1991 to 2021,the ecological environmental quality of the Lijiang River Basin demonstrated significant improvement.The area with good and excellent ecological environmental quality in proportion increased by 19.69%(3406.57 km^(2)),while the area with fair and poor ecological environmental quality in proportion decreased by 10.76%(1860.36 km^(2)).2)Spatially,the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the periphery.Specifically,poor ecological environmental quality characterized the Guilin urban area,Pingle County,and Lingchuan County.3)From 1991 to 2021,a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River Basin.Areas with high-high agglomeration were predominantly forests and grasslands,indicating good ecological environmental quality,whereas areas with low-low agglomeration were dominated by cultivated land and construction land,indicating poor ecological environmental quality.4)Annual average precipitation and temperature exerted the most significant influence on the ecological environmental quality of the basin,and their interactions with other factors had the great influence.This study aimed to enhance understanding of the evolution of the ecological environment in the Lijiang River Basin of Guangxi Zhuang Autonomous Region and provide scientific guidance for decision-making and management related to ecology in the region.
文摘XRF岩芯连续扫描在近30年间被广泛用于获取不同地理环境的湖泊沉积序列元素分布及其指示的环境意义,特别是湖泊密集的“亚洲水塔”青藏高原。然而,XRF扫描数据的准确性受沉积岩芯物理属性的显著影响,可能导致记录信息的过度或错误解释。本研究基于青藏高原南部哲古错(ZGC)内近4400年以来由植物和泥沙混合沉积而成的2.16 m完整岩芯(ZGC21),利用XRF岩芯连续扫描获取其元素信号值和色度分布,结合含水量、粒度、烧失量等物理特征分析,表明ZGC岩芯层理清晰、定年精准、气候信息记录全面,是重建印度夏季风和青藏高原南部气候变化的最佳载体之一。稳定元素(Al、 K、 Fe、 Mn、 Rb、 Si、 Ti、 Zr)信号值分布均不能用于指示ZGC岩芯不同层理的碎屑物质输入比例,但Zr/Rb比值则可反映流域内物质输入的真实特征;Ca和Br元素信号值分布分别指示ZGC21岩芯的碳酸盐和有机质含量变化。基于可靠元素信号分布和AMS-14C精确定年,青藏高原南部在太阳辐射强度变化驱动下于4400~3500 a B. P.和850~80 a B. P.年间均处于寒冷气候环境中,低温不足以支撑湖内植被的生存,而在2750~1830 a B. P.和1320~850 a B. P.年间则相反。上述结果为XRF岩芯连续扫描数据的正确应用和准确解释提供科学示范,也为重建该地区过去4400年人地关系提供年代际尺度环境演变框架。
