生态学报2024，Vol.44Issue(5)：2029-2042,14.DOI:10.20103/j.stxb.202305070948
秦巴山地植被冠层降雨截留时空分异特征及驱动因素
Spatio-temporal variations and driving factor analysis of rainfall interception by vegetation canopy in the Qinling-Daba Mountains
摘要
Abstract
Studying canopy interception is crucial in the understanding of regional water resources allocation and evaluating eco-hydrological functions.However,the complex and diverse environment in mountainous regions means that field measurement results about canopy interception can be highly inaccurate.By leveraging the advancements in remote sensing,this study aimed to reveal the spatial and temporal variability of canopy interception in mountain systems.By coupling a canopy interception model with precipitation data and leaf area index remote sensing data,this study quantitatively simulated and analyzed the rainfall interception capacity of vegetation canopy in the Qinling-Daba Mountains from 2003 to 2020,and analyzed its accuracy from the aspects of point scale and surface scale.Factors influencing canopy interception were investigated using geographical detector,sensitivity analysis,and correlation analysis.The results showed that:(1)the A.P.J.DE ROO model simulation had a root mean square error below 3.5 and an effective coefficient above 0.75,which showed that the model was reliable when compared with the canopy interception evaporation raster data and the measured point data.(2)The rainfall interception and interception rate showed an overall upward trend over the past 18 years,except for a reversal in2015,when the interception rate shifted froman increase of 0.08%/a to a decrease of-0.15%/a.(3)The spatial distribution patterns of rainfall interception and interception rate were generally similar,with local variations.Higher values were observed in the Qinling and Daba Mountains,whereas lower values were found in the western high mountains and northeastern edges.The rainfall interception capacity of vegetation canopy showed a"rise-stability-decline"pattern with the increasing altitude.Spatial change predominantly indicated an upward trend,with a decrease primarily located in the central Hanjiang River Valley.Notably,the low altitude area exhibited distinct changes,with a significant increase in the middle altitude area and no significant change in the high altitude area.(4)Canopy interception was primarily influenced by leaf area index and rainfall,the constraint relations were positively linear and positively convex,respectively.The interception rate of broad-leaved forests showed a high correlation with small rainfall events,whereas coniferous forests and shrubs exhibited a strong correlation with heavy rainfall events.The influence of climatic factors on canopy interception varied spatially in terms of category and interpretation degree.This study could provide ideas for estimating canopy interception at the regional scale,and be used to improve the evaluation of ecosystem impacts on the water cycle when affected by climate change.关键词
降雨/叶面积指数/植被冠层截留/遥感/秦巴山地Key words
rainfall/leaf area index/vegetation canopy interception/remote sensing/Qinling-Daba Mountains引用本文复制引用
孙梓欣,朱连奇,赵体侠,张哲,卢荣旺,朱文博..秦巴山地植被冠层降雨截留时空分异特征及驱动因素[J].生态学报,2024,44(5):2029-2042,14.基金项目
国家重点研发计划项目(2021YFE0106700) （2021YFE0106700）
国家科技基础资源调查专项项目(2017FY100902) （2017FY100902）
