| 土壤有机质周转计算机模拟原理 |
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| 引用本文： | 吴金水,刘守龙,童成立.土壤有机质周转计算机模拟原理[J].土壤学报,2003,40(5):768-774. |
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| 作者姓名： | 吴金水 刘守龙 童成立 |
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| 作者单位： | 中国科学院亚热带区域农业研究所,长沙,410125 |
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| 基金项目： | 国家杰出青年基金(49925102)、中国科学院知识创新工程项目(KZCX1-SW-01-14;KZCX3-SW-426)、国家自然科学重点基金(40235057)和国家重点基础研究发展规划"973"项目(1999011802)资助 |
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| 摘 要： | 土壤有机质变化与土壤肥力和大气CO2 变化有密切的关系 ,建立土壤有机质周转计算机模型并进行模拟是预测土壤有机质长期变化的重要手段。本文简要回顾了土壤有机质周转计算机模拟模型的发展和现有主要模型 (如RothC、CENTURY等 )的特点和应用范围 ,着重讨论了建模基本原理 ,包括模型结构和过程、主要因子选择、模拟和预测能力的检验和评估方法等 ,并分析了目前所存在的问题。
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| 关 键 词： | 土壤有机质 周转 预测 计算机模型 |
| 收稿时间： | 2003/2/27 0:00:00 |
| 修稿时间： | 2003年2月27日 |
PRINCIPLES IN MODELLING THE TURNOVER OF SOIL ORGANIC MATTER USING COMPUTER SIMULATION |
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| Wu Jin-shui,Liu Shou-long and Tong Cheng-li.PRINCIPLES IN MODELLING THE TURNOVER OF SOIL ORGANIC MATTER USING COMPUTER SIMULATION[J].Acta Pedologica Sinica,2003,40(5):768-774. |
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| Authors: | Wu Jin-shui Liu Shou-long and Tong Cheng-li |
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| Affiliation: | The Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China;The Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China;The Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China |
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| Abstract: | Changes in soil organic matter has important impacts on soil fertility and CO 2 concentration in the atmosphere. It is established that models based on the computer simulation of the turnover of soil organic matter provide a useful approach to predict long-term changes in the content of organic matter in soil. This paper briefly introduces overall development in modeling the turnover of soil organic matter and the special features of the widely-used models (e.g. RothC and CENTRURY) in constructing techniques and uses. We mainly discussed the main principles applied to develop computer model for simulating the turnover of soil organic matter, including the model structure and main processes, the main affecting factors considered, and methods to evaluate the simulating and predicting results. The likely problems and further studies required were also outlined. |
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| Keywords: | Soil organic matter Turnover Prediction Model |
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