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祁连山北麓中段青海云杉林土壤水热时空变化特征
引用本文:马剑,刘贤德,李广,赵维俊,王顺利,敬文茂,马雪娥.祁连山北麓中段青海云杉林土壤水热时空变化特征[J].干旱区地理,2020,43(4):1033-1040.
作者姓名:马剑  刘贤德  李广  赵维俊  王顺利  敬文茂  马雪娥
作者单位:1.甘肃农业大学林学院,甘肃 兰州 730070;2.甘肃省祁连山水源涵养林研究院,甘肃 张掖 734000;3.甘肃祁连山森林生态监测与评估国际科技合作基地,甘肃 张掖 734000;4.甘肃省祁连山森林生态系统野外科学观测研究站,甘肃 张掖 734000
基金项目:甘肃省自然科学基金重大项目(18JR4RA002); 甘肃省林业科技计划项目(2018kj014,2018kj016)资助
摘    要:以祁连山北麓中段青海云杉林为研究对象,利用5套土壤温湿度自动监测系统对海拔2 500~3 300 m的青海云杉连续监测3 a,旨在探讨青海云杉林土壤水热的变化特征及土壤水热间的互作效应。结果表明:(1)7:00~19:00,土壤温度整体上呈升高趋势,8:00土壤均温最低,为1.03 ℃,18:00土壤均温最高,为1.32 ℃;土壤湿度的变化幅度较小,且差异不显著(P>0.05)。(2)冷期(1~4月、11~12月)、暖期(5~10月),各占全年的50%;8月前随月份增大土壤温湿度增大,月份增大1月,土壤均温增大2.21 ℃,湿度增大0.021 m3·m-3,8月后随月份增大逐渐减小,月份增大1月,土壤均温减小3.12 ℃,湿度减小0.017 m3·m-3。(3)土壤温度与海拔之间有负相关关系(R2=0.81,P<0.05);土壤湿度与海拔之间存在二项式相关关系(R2=0.95,P <0.05)。(4)土壤温度与土层深度间呈负相关关系(P <0.05),而土壤湿度与土层深度呈线性正相关关系(P <0.05),土层每增加一层,土壤均温减小0.142 ℃,度约增加0.009 m3·m-3。(5)青海云杉林土壤温度和湿度间呈显著线性负相关关系(P <0.05)。

关 键 词:土壤温度  土壤湿度  变化特征  青海云杉林  祁连山  
收稿时间:2019-07-23

Spatial and temporal variations of soil moisture and temperature of Picea Crassifolia forest in north piedmont of central Qilian Mountains
MA Jian,LIU Xian-de,LI Guang,ZHAO Wei-jun,WANG Shun-li,JING Wen-mao,MA Xue-e.Spatial and temporal variations of soil moisture and temperature of Picea Crassifolia forest in north piedmont of central Qilian Mountains[J].Arid Land Geography,2020,43(4):1033-1040.
Authors:MA Jian  LIU Xian-de  LI Guang  ZHAO Wei-jun  WANG Shun-li  JING Wen-mao  MA Xue-e
Institution:1.College of Forestry,Gansu Agricultural University,Lanzhou 730070,Gansu,China;2.Academy of Water Resources Conservation Forests in Qilian Mountains of Gansu Province,Zhangye 734000,Gansu,China;3.International Science and Technology Cooperation Base for Forest Ecological Monitoring and Assessment in Qilian Mountains,Gansu Province,Zhangye 734000,Gansu,China;4.Gansu Qilian Mountain Forest Ecosystem Observation and Research Station,Zhangye 734000,Gansu,China
Abstract:This study analyzes the Picea crassifolia forest located at the altitude of 2 500 m to 3 300 m in the northern piedmont of the central Qilian Mountains,northwest China. Five automatic soil temperature and moisture monitoring systems were used to monitor this Picea crassifolia forest over a continuous three-year period. The paper seeks to explore the variations of soil moisture and temperature as well as interactions between soil moisture and temperature. Our results revealed as follows:(1) from 07:00 to 19:00,soil temperature showed an overall increasing trend. The average soil temperature was the lowest at 8:00,when it was 1.03℃. The average soil temperature was the highest at 18:00 when it was 1.32℃. Variations in soil moisture were small,with insignificant differences (P>0.05). (2) The cold period (January-April,November-December) and warm period (May-October) each account for six months out of the year,respectively. Soil temperature and moisture increased during each month before August,with the average temperature and moisture of soil increasing by 2.21℃ and 0.021 m3·m-3,respectively,each month. After August,the average soil temperature and moisture decreased by 3.12℃ and 0.017 m3·m-3,respectively,each month. (3) There was a negative correlation between soil temperature and elevation (R=0.81,P<0.05),whereas there was a binomial correlation between soil moisture and altitude (R=0.95,P<0.05). Following an increase in altitude,soil moisture first increased and then decreased. (4) There was a negative correlation between soil temperature and soil depth (P<0.05),while there was a linear positive correlation between soil moisture and soil depth (P<0.05). For each additional layer,the average soil temperature decreased by 0.142℃ and soil moisture increased by 0.009 m3·m-3. (5) There was a significant linear negative correlation between soil temperature and moisture in the Picea crassifolia forest studied (P<0.05).
Keywords:soil temperature  soil moisture  variations  Picea crassifolia  Qilian Mountains  
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