首页|期刊导航|生态学报|多时空尺度下典型堰塞湖和构造湖流域土地利用与水质变化的关系对比研究

多时空尺度下典型堰塞湖和构造湖流域土地利用与水质变化的关系对比研究OACHSSCD

Study on the relationship between land use and water quality changes in barrier lake and tectonic lake at multiple temporal and spatial scales

中文摘要英文摘要

为探究不同类型湖泊土地利用与水质变化关系,基于西南地区堰塞湖(马湖)和构造湖(邛海)流域内多时空尺度土地利用和水质监测数据,利用冗余分析定量揭示不同类型湖泊的水质特征对土地利用的响应差异.结果表明:(1)马湖和邛海流域内土地利用类型均以林地和建设用地为主,其中马湖以林地居多,而建设用地占据邛海大部分区域,相较于马湖,邛海流域内土地利用类型更丰富;随空间尺度增加,马湖斑块粘附作用强化,斑块趋于稳定且形状复杂度增强;邛海主要斑块(建设用地)优势度下降,聚合度最高的尺度为 300 m 湖岸带缓冲区.(2)两个湖泊的水质均在旱季优于雨季,雨季大部分水质指标为Ⅲ类标准,旱季为Ⅱ类标准,具有显著季节差异;邛海水质硬度、盐度较高,水中溶解性固体物质含量超标.(3)两个湖泊土地利用类型对水质的所有轴解释率与空间尺度呈现正相关趋势,雨季解释率较旱季更高,两湖泊流域解释率最高的时空尺度分别为雨季500 m 湖岸带缓冲区(马湖)以及旱季 400 m 湖岸带缓冲区(邛海),解释率分别为 98.97%和 99.13%,马湖主要解释变量为COHESION、草地和建设用地,邛海主要解释变量为建设用地、AI 和 LPI.(4)大部分空间尺度下,林地、草地与溶解性总固体、氯化钠等水质指标呈负相关关系,与溶解氧呈正相关,具有净化水质和保护水源的作用;建设用地和耕地对水质具有负面影响,会增加水体中的污染物、可溶性固体物,导致水体富营养化.景观复杂度会导致水质恶化,由于邛海流域优势斑块为建设用地,因此优势斑块会引起水质恶化.本研究通过探究不同类型湖泊流域内土地利用类型对水质的影响,厘清不同类型湖泊水质与湖岸带缓冲区土地利用的相关关系,以期为不同类型湖泊流域土地利用结构调整和湖泊生态环境保护提供理论参考,进而促进湖泊流域人与自然的和谐发展.

To investigate the relationship between land use and water quality variations in different lake types,this study employed redundancy analysis(RDA)to quantitatively reveal the differential responses of water quality characteristics to land use patterns in barrier lakes(Mahu Lake)and tectonic lakes(Qionghai Lake)in southwestern China,utilizing multi-spatiotemporal scale land use and water quality monitoring data.The results demonstrated that:(1)Both watersheds were predominantly characterized by forestland and construction land,with Mahu Lake exhibiting higher forest coverage while Qionghai Lake was dominated by construction land.The Qionghai watershed displayed greater land use diversity compared to Mahu Lake.Spatial scale expansion enhanced patch adhesion and stability with increased shape complexity in Mahu Lake,whereas Qionghai's dominant construction land patches showed reduced dominance,reaching maximum aggregation at the 300 m riparian buffer scale.(2)Both lakes exhibited superior water quality during dry seasons(Class II standards)compared to wet seasons(predominantly Class III standards),with Qionghai Lake demonstrating significantly higher water hardness,salinity,and dissolved solids content exceeding standard limits.(3)The interpretation rates of all axes of water quality in the two lakes showed a positive correlation with the spatial scale,and the interpretation rate was higher in the wet season than in the dry season,and the highest spatiotemporal scales of the interpretation rates in the two lake basins were the 500 m lakeshore buffer zone(Mahu)in the wet season and the 400 m lakeshore buffer zone(Qionghai)in the dry season,with the interpretation rates of 98.97%and 99.13%,respectively,The main explanatory variables of Mahu Lake are COHESION,grassland,and construction land,and the main explanatory variables of Qionghai are construction land,AI and LPI.(4)Forestland and grassland generally demonstrated negative correlations with total dissolved solids and sodium chloride concentrations while positively correlating with dissolved oxygen,indicating water purification functions.Conversely,construction land and cropland exhibited negative impacts through pollutant inputs and soluble solids accumulation,promoting eutrophication.Landscape complexity degraded water quality,particularly through construction land dominance in the Qionghai watershed.This comparative study elucidates differential mechanisms of land-water interactions in distinct lake types,providing theoretical foundations for optimizing land use configurations and implementing targeted ecological protection strategies in heterogeneous lake basins,thereby facilitating sustainable human-lake ecosystem co-development.

左书林;刘睿;刘捷;张静

重庆师范大学地理与旅游学院,重庆 401331||重庆师范大学 GIS 应用研究重庆市重点实验室,重庆 401331重庆师范大学地理与旅游学院,重庆 401331||重庆师范大学 GIS 应用研究重庆市重点实验室,重庆 401331重庆师范大学地理与旅游学院,重庆 401331||重庆师范大学 GIS 应用研究重庆市重点实验室,重庆 401331重庆师范大学地理与旅游学院,重庆 401331||重庆师范大学 GIS 应用研究重庆市重点实验室,重庆 401331

土地利用水质高原湖泊冗余分析多时空尺度

land usewater qualityplateau lakesredundancy analysismultiple spatial and temporal scales

《生态学报》 2026 (9)

4643-4657,15

国家自然科学基金项目(42407094)重庆市自然科学基金项目(2024NSCQ-MSX3061)重庆市教委科学技术研究计划项目(KJQN202200517)重庆师范大学基金项目(20XLB022)

10.20103/j.stxb.202405081033

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