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大理白族自治州植被水分利用效率时空变化趋势及其与海拔的关系

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基于MODIS总初级生产力(GPP)和蒸散发(ET),估算大理白族自治州植被水分利用效率(WUE),采用趋势分析方法分析研究区植被 WUE 与海拔的关系.结果表明:2016-2020 年大理白族自治州植被 WUE 为 1.93~2.22 g/(m2·mm),平均值为2.07 g/(m2·mm),研究区植被WUE年均值在2019年出现波峰.大理白族自治州植被WUE东西分布存在差异,东部近5 年WUE主要呈上升趋势,在东南区域WUE上升趋势较为明显;西部WUE上升与下降面积基本相同,在西北区域WUE上升趋势较为缓慢.不同海拔植被WUE变化不同,研究区植被WUE年均值随海拔呈先上升后下降的正态分布规律,海拔>2 500~3 000 m区域WUE年均值达到最高,为2.14 g/(m2·mm).
Temporal and Spatial Variation Trend of Vegetation Water Use Efficiency in Dali Bai Autonomous Prefecture and Its Relationship with Altitude
Based on MODIS gross primary productivity(GPP)and evapotranspiration(ET),the vegetation water use efficiency(WUE)in Dali Bai Autonomous Prefecture was estimated,and trend analysis method was used to analyze the relationship between vegetation WUE and al-titude in the study area.The result showed that the vegetation WUE in Dali Bai Autonomous Prefecture from 2016 to 2020 was 1.93-2.22 g/(m2·mm),with an average of 2.07 g/(m2·mm),the annual mean value of vegetation WUE in the study area peaked in 2019.There were differences in the distribution of vegetation WUE between the east and west in Dali Bai Autonomous Prefecture.In the past 5 years,the WUE in the east had mainly shown an upward trend,and the upward trend of WUE in the southeast region was more obvious.The rising and falling areas of WUE in the western region were basically the same,while the upward trend of WUE in the northwest region was relatively slow.The changes of vegetation WUE at different altitudes were different,the annual mean value of vegetation WUE in the study area showed a nor-mal distribution law of first increasing and then decreasing with altitude,the annual mean value of WUE in the area with an altitude of>2 500-3 000 reached the highest at 2.14 g/(m2·mm).

Water use efficiencyTemporal and spatial variation trendMODISAltitudeDali Bai Autonomous Prefecture

李丽丽、杨永明、李亚徽、陈明坤、万斌文、王大为、马晓东

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滇西应用技术大学,云南大理 671006

玉龙雪山冰冻圈与可持续发展云南省野外科学观测研究站,云南丽江 674100

云南省高校山地实景点云数据处理及应用重点实验室,云南大理 671006

滇西应用技术大学多源数据融合实景三维构建研究科技创新团队,云南大理 671006

甘肃省社会科学界联合会,甘肃兰州 730030

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水分利用效率 时空变化趋势 MODIS 海拔 大理白族自治州

滇西应用技术大学多源数据融合实景三维构建研究科技创新团队建设项目云南省科技厅科技计划项目基础研究专项云南省科技厅科技计划项目基础研究专项滇西应用技术大学人才引进科研启动项目

2020KYPT0001202301AT070084202301AT0700852022RCKY0003

2024

安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
年,卷(期):2024.52(3)
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