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应用生态学报 ›› 2010, Vol. 21 ›› Issue (07): 1641-1648.

• 研究报告 • 上一篇    下一篇

亚热带林分土壤呼吸及其与土壤温湿度关系的模型模拟

姜 艳1,王 兵1**,汪玉如2,杨清培3   

  1. 1中国林业科学研究院森林生态环境与保护研究所国家林业局森林生态环境重点实验室,北京 100091;2江西科技师范学院,南昌 330045;3江西农业大学林学院,南昌 330045
  • 出版日期:2010-07-20 发布日期:2010-07-20

Soil respiration in subtropical forests and model simulation of its relationships with soil temperature and moisture content.

JIANG Yan1,WANG Bing1, WANG Yu-ru2, YANG Qing-pei3   

  1. 1State Forestry Administration Key Laboratory of Forestry Ecology Environment, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China|2Jiangxi Science &Technology Normal University, Nanchang 330045, China|3Jiangxi Agricultural University, Nanchang 330045, China
  • Online:2010-07-20 Published:2010-07-20

摘要: 利用Li-6400-09系统,对我国亚热带地区3种主要林分类型(常绿阔叶林、杉木林和毛竹林)的土壤呼吸和土壤温、湿度进行了野外测定,并采用多种模型对土壤呼吸与土壤温、湿度的关系进行拟合.结果表明:毛竹林、常绿阔叶林和杉木林的土壤呼吸碳通量分别为12.84、11.70和7.12 t C·hm-2·a-1;3种林型土壤呼吸具有相似的时间变化格局,其日变化均在11:00—12:00达到峰值,1:00—3:00最小;季节变化中,7、8月达到峰值,12月和翌年1月最小;Van′t Hoff模型和Lloyd and Taylor方程在描述土壤呼吸与土壤温度的相关性时差异不大,但Lloyd and Taylor模拟得出的土壤呼吸值小于实测值;二次项模型和幂函数模型能较好地模拟土壤呼吸与含水量的关系,土壤含水量对土壤呼吸具有双向调节作用,但只有杉木林二者相关性达到显著水平;土壤水热双因子模型比单因子模型能更有效地描述土壤呼吸对土壤温、湿度协同变化的响应特征;协方差分析消除土壤温度、土壤含水量的影响后,植被类型对土壤呼吸的影响达到显著水平(R2=0.541);空气温度、空气相对湿度和光合辐射也在不同程度上影响着土壤呼吸变化,且空气温度的影响达到显著水平.

关键词: 毛竹林, 杉木林, 常绿阔叶林, 土壤呼吸, 模型, 微生物驱油, 原生质体融合, 厌氧表面活性剂产生菌, 脂肽

Abstract: By using Li-6400-09 system, an in situ measurement on the soil respiration, soil temperature, and soil moisture content in three main forest types (evergreen broadleaved forest, Cunninghamia lanceolata plantation, and Phyllostachys pubescens forest) in subtropical area of China was conducted, with the relationships between soil respiration and soil temperature and moisture content simulated by several models. The C flux of soil respiration in P. pubescens forest, evergreen broadleaved forest, and C. lanceolata plantation was 12.84, 11.70, and 7.12 t C·hm-2·a-1,respectively, and the soil respiration in these three forest types had similar diurnal and seasonal variations, with the maximum value at 11:00-12:00 and the minimum value at 1:00-3:00, and the highest value in August and September while the lowest value in December and January.Van′t  Hoff equation and Lloyd & Taylor function had less difference in describing the relationships between soil respiration and soil temperature, while the soil respiration rate predicted by Lloyd & Taylor function was smaller than the observed value. Quadratic model and power function model could well simulate the relationship between soil respiration and soil moisture content. Soil moisture content positively or negatively affected soil respiration, but the effects only reached significant level in C. lanceolata plantation. Comparing with single-factor equation, two-factor equation (soil temperature and moisture content) could better describe the responses of soil respiration to changed soil temperature and moisture content. Multivariate analysis of covariance showed that after eliminating the effects of soil temperature and moisture content, forest type had significant effects on soil respiration (R2=0.541). Other factors, such as air temperature, air relative humidity, and photosynthetic radiation also affected soil respiration, and the effects of air temperature reached significant level.

Key words: Phyllostachys pubescens  forest, Cunninghamia lanceolata plantation, evergreen broadleaved forest, soil respiration, model, microbial enhanced oil recovery, protoplast fusion, anaerobic biosurfactantproducing bacteria, lipopeptide.