北方温带森林不同海拔梯度土壤碳矿化速率及酶动力学参数温度敏感性

发布时间：2018-02-21 03:52

本文关键词： 土壤有机碳矿化速率酶动力学 β- -葡萄糖苷酶温度敏感性温带森林　出处：《应用生态学报》2016年01期 　论文类型：期刊论文

【摘要】：采集长白山脉龙岗支脉老秃顶子南坡3个不同海拔梯度森林(岳桦林、针阔混交林、红松林)土壤,进行室内温度梯度培养试验,研究土壤碳矿化速率(C_(min))和土壤,β-1,4-葡萄糖苷酶(βG)动力学参数及温度敏感性.结果表明:海拔和温度对C_(min)均有显著影响,3种森林土壤C_(min)均随着培养温度升高而增加,且岳桦林土壤C_(min)最高.3种森林土壤碳矿化速率温度敏感性[Q_(10(C_(min))]大小为岳桦林红松林针阔混交林,但差异不显著.3种森林土壤βG动力学参数最大反应速率(V_(max))和米氏常数(K_m)均随培养温度升高而增加,V_(max)的温度敏感性[Q_(10(V_(max))]为1.78~1.90,K_m的温度敏感性[Q_(10(K_m))]为1.79~2.00.岳桦林Q_(10(V_(max))/Q_(10(K_m))值显著高于红松林和针阔混交林,表明高海拔岳桦林土壤有机碳水解酶动力学参数受温度升高影响最大.
[Abstract]:The soil of three different elevation gradient forests (Yuehua forest, coniferous and broad-leaved mixed forest, Korean pine forest) on the south slope of Longgang branch of Changbai Mountain were collected, and the indoor temperature gradient culture experiment was carried out. The kinetic parameters and temperature sensitivity of 尾 -1-glucosidase (尾 -G) in soil and soil were studied. The results showed that elevation and temperature had a significant effect on C _ (+ +) -C _ (-1) -G _ 4 glucosidase (尾 -G), and that C _ (1) G _ (4) -glucosidase (尾 -G) increased with the increase of culture temperature. In addition, the highest temperature sensitivity of soil carbon mineralization rate of 3 species of forest in birch forest was found to be the mixed coniferous and broad-leaved forest of Pinus koraiensis forest in birch forest. But the difference is not significant. The maximum reaction rate of 尾 G kinetic parameters in forest soil is 1.79 ~ 2.00. The maximum reaction rate of 尾 -G kinetic parameters is 1.79 ~ 2.00. The temperature sensitivity of [Q _ (10) V _ (10) K _ (max)) is 1.78 ~ 1.90 K ~ (m). The value of Q _ (10) V _ (max) / Q _ (10) K _ (m) of birch forest is significantly higher than that of Q _ (10) V _ (P _ (10) K _ (max)) in birch forest. Pinus koraiensis and coniferous broad-leaved mixed forest, The results showed that the dynamic parameters of soil organic carbon hydrolase in birch forest at high altitude were most affected by the increase of temperature.
【作者单位】：沈阳农业大学生物科学技术学院;中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室;安徽农业大学资源与环境学院;
【基金】：国家自然科学基金重大项目(31290222);国家自然科学基金重点项目(31130009);国家自然科学基金面上项目(41571251)资助国家重点基础研究发展计划项目(2012CB416903)~~
【分类号】：S714

【参考文献】