机构地区:[1]新疆师范大学地理科学与旅游学院,新疆乌鲁木齐830054 [2]新疆干旱区湖泊环境与资源重点实验室,新疆乌鲁木齐830054
出 处:《水资源与水工程学报》2022年第6期196-203,212,共9页Journal of Water Resources and Water Engineering
基 金:新疆维吾尔自治区重点实验室招标课题(XJDX0909-2021-01);新疆师范大学博士科研启动基金项目(XJNUBS2003);新疆维吾尔自治区自然科学基金项目(2022D01A97)。
摘 要:水分利用效率(WUE)是生态系统碳水循环的基础,是评价植被生长条件的重要生态指标。为了揭示玛纳斯河流域不同植被类型WUE的时空变化规律,分析不同植被类型WUE的差异,探讨影响WUE的驱动因子,基于MODIS数据估算了2001-2019年玛纳斯河流域水分利用效率,利用变异系数、Theil-Sen median趋势分析结合M-K显著性检验以及Hurst指数分析了研究区植被WUE时空变化的现状和未来的趋势,并利用地理探测器定量分析了WUE的影响因素。结果表明:2001-2019年玛纳斯河流域WUE在0.74~1.08 g/(mm·m^(2))之间,WUE多年平均值为0.88 g/(mm·m^(2)),整体表现为波动降低趋势,降幅为6.82%。流域WUE空间差异显著,呈现中部和北部高、南部低以及中游高、上游和下游低的分布格局。研究区各植被类型中林地WUE平均值较高,其中针叶林的平均WUE最高,为1.52 g/(mm·m^(2));其次为阔叶林,WUE平均为1.29 g/(mm·m^(2))。研究区WUE主要驱动因子为CO_(2)、土壤湿度、温度植被干旱指数和饱和水汽压差。与单因子相比,多因子相互作用对研究区WUE的影响更明显。双因子交互探测均呈显著增强关系,解释力均在60%以上,其中CO_(2)与土壤湿度的交互作用解释力最高,达到90.3%。研究结果可为研究区农业高效生产、水资源优化管理及生态恢复提供科学依据。Water use efficiency(WUE)is the basis of carbon and water cycle in ecosystem and an important ecological indicator for evaluating vegetation growth conditions.In order to reveal the spatiotemporal changes of WUE of different vegetation types in Manas River Basin,analyze the differences of WUE of different vegetation types,and discuss the driving factors affecting WUE,the WUE of Manas River Basin from^(2)001 to 2019 was quantitatively estimated based on MODIS data.Moreover,the coefficient of variation,Theil-Sen median trend analysis,M-K significance test and Hurst index were adopted to analyze the current situation and future trend of spatiotemporal changes of vegetation WUE,and geographical detectors were applied to quantitatively analyze the influencing factors of WUE in the study area.The research results show that the WUE in the Manas River Basin fluctuated between 0.74 and 1.08 g/(mm·m^(2))from^(2)001 to 2019,and the multi-year average of WUE was 0.88 g/(mm·m^(2)),which showed an overall downward trend,with a decrease of 6.82%.The spatial difference of WUE was significant,showing a distribution pattern of high in the central and northern parts but low in the southern part;high in the middle reaches of the basin but low in the upper and lower reaches.The average WUE of forest land was relatively high among the vegetation types,and the average WUE of coniferous forest was the highest,which was 1.52 g/(mm·m^(2));followed by broad-leaved forest,which was 1.29 g/(mm·m^(2)).The main driving factors of WUE in the study area were CO_(2),soil moisture,temperature vegetation drought index and vapor pressure deficit.Compared with single factor,the interaction of multiple factors had a greater impact on WUE in the study area,all the two-factor interaction detection showed a significant enhancement relationship,and each explanatory power was more than 60%,among which the explanatory power of the interaction between CO_(2) and soil moisture was the highest(90.3%).The research results can provide a technical support for
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