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[亚热带森林土壤呼吸及其与土壤温度和水分含量关系的模型模拟]

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

作者信息

Jiang Yan, Wang Bing, Wang Yu-ru, Yang Qing-pei

机构信息

State Forestry Administration Key Laboratory of Forestry Ecology Environment, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2010 Jul;21(7):1641-8.

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 x hm(-2) x 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.

摘要

利用Li-6400-09系统,对中国亚热带地区三种主要森林类型(常绿阔叶林、杉木人工林和毛竹林)的土壤呼吸、土壤温度和土壤水分含量进行了原位测量,并用几种模型模拟了土壤呼吸与土壤温度和水分含量之间的关系。毛竹林、常绿阔叶林和杉木人工林的土壤呼吸碳通量分别为12.84、11.70和7.12 t C x hm(-2) x a(-1),这三种森林类型的土壤呼吸具有相似的昼夜和季节变化,最大值出现在11:00 - 12:00,最小值出现在1:00 - 3:00,8月和9月的值最高,12月和1月的值最低。范特霍夫方程和劳埃德 - 泰勒函数在描述土壤呼吸与土壤温度的关系上差异较小,而劳埃德 - 泰勒函数预测的土壤呼吸速率小于观测值。二次模型和幂函数模型能够很好地模拟土壤呼吸与土壤水分含量之间的关系。土壤水分含量对土壤呼吸有正向或负向影响,但仅在杉木人工林中影响达到显著水平。与单因素方程相比,双因素方程(土壤温度和水分含量)能更好地描述土壤呼吸对土壤温度和水分含量变化的响应。协方差多元分析表明,在消除土壤温度和水分含量的影响后,森林类型对土壤呼吸有显著影响(R2 = 0.541)。其他因素,如气温、空气相对湿度和光合辐射也影响土壤呼吸,气温的影响达到显著水平。

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