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作 者:唐燕飞[1,2,3] 王国兵[1] 阮宏华[1]
机构地区:[1]南京林业大学,江苏省高校林业生态工程重点实验室,江苏南京210037 [2]University of California, Davis, CA 95616, USA [3]Department of Biology San Diego State University, San Diego, CA 92182, USA
出 处:《南京林业大学学报(自然科学版)》2008年第1期124-128,共5页Journal of Nanjing Forestry University:Natural Sciences Edition
基 金:国家自然科学基金资助项目(30370256、30670313);南京林业大学高层次留学回国人员基金;教育部留学回国人员基金资助项目(2004)
摘 要:土壤呼吸对温度变化的响应已成为生态学研究的重要内容之一。根据近年来国内外最新的研究资料,综合介绍了土壤呼吸对温度敏感性方面的研究现状与成果,分析和探讨存在的问题。温度是影响土壤呼吸的重要因子,土壤呼吸与温度之间相关关系密切,但土壤呼吸对温度变化的响应与机制仍不确定。模拟土壤呼吸对温度的敏感性模型有多种且在不断完善,但简单的Q10经验模型仍被普遍使用。土壤呼吸各来源对温度的敏感性贡献仍不明确。因此在今后的研究中,应规范统一土壤呼吸和温度的测定方法,明确各因子对土壤呼吸的影响,土壤呼吸的时空异质性,土壤呼吸各组分对土壤呼吸的贡献以及各组分对温度的敏感性。With global wanning, the response of soil respiration became an important study issue in global change field. It was reported recently that the carbon flux from soil took on positive feedback only within a short period and with totally negative feedback lately. The object of this paper is to provide a brief review on the sensitivity of soil respiration to the temperature on the circumstance of global wanning. Among many factors related to soil respiration, the temperature is the most important one. The soil respiration sensitivity to temperature was still an uncertainty because of the diversity of ecosystems and complexity of soil biological processes. There were many models developed to assess the sensitivity of soil respiration to temperature. The simple Q10 model was widely used in modeling the process of soil respiration. However,it was still uncertain to decide the contribution of soil respiration derived from different sources ( root, microbial and soil fauna respiration) and the sensitivity of them to temperature. To predict accurately the trend of global change in the future, it is necessary to clarify the mechanism of the sensitivity of soil respiration to temperature. Moreover, the method of the field measurements of soil respiration and temperature should be standardized to quantify the contribution of soil respiration derived from different sources and to understand the heterogeneity of spatial and seasonal variation.
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