Validation of soil organic carbon dynamics model in the semi-arid tropics in Niger, West Africa
Validation of soil organic carbon dynamics model in the semi-arid tropics in Niger, West Africa
复制标题
西非尼日尔半干旱热带地区土壤有机碳动态模型的验证
DOI：
10.1007/s10705-010-9402-4
复制
发表时间：
2011
影响因子：
3.1
通讯作者：
S.
中科院分区：
文献类型：
--
作者：
Nakamura;S.;Hayashi;K.;Omae;H.;Ramadjita;T.;Dougbedji;F.;Shinjo;H.;Saidou;A. K.;and Tobita;S.
萨赫勒地带（SZ）的沙质土壤肥力极低。土壤肥力差是制约深圳作物生产的因素之一。因此，通过各种农业管理方法提高或保持土壤肥力势在必行。此外，众所周知，土壤有机质在改善这些砂质贫瘠土壤的理化性质方面起着重要作用。因此，有必要开发一种合适的工具来评估SZ土壤有机碳动态。因此，在2个长期大田试验中，在施用和不施用作物残茬的32个处理中验证了洛桑碳模型（Roth-C）。这些实验由ICRISAT进行。采用四项指标（RMSE：均方根误差，LOFIT：缺乏拟合，r：相关系数，m：平均差）的统计方法评价模型的性能。结果表明，在未进行作物残留管理的情况下，土壤有机碳的预测值在10年左右随时间的推移而降低。相比之下，在施用作物残茬的情况下，在观察期间，预测的有机碳保持大致等于初始有机碳值。大多数情况下，roth - c模型值与实际值吻合得很好。预测值与实测值一致性统计指标RMSEandLOFIT均显示32个处理的SOC预测值与实测值具有显著的一致性。这意味着Roth-C可以评估短期试验开发的几种技术方案的长期SOC动态。此外，如果估算出足够数量的案例，就可以计算出维持有机碳的年碳需求量。利用Roth-C模型对区域碳动态进行了分析。这将有助于展示深圳在全球变暖和其他气候变化下的可持续发展。
The fertility of sandy soils in the Sahelian zone (SZ) is extremely low. This poor soil fertility is one of the limiting factors of crop production in the SZ. Therefore, it is imperative to improve or to maintain soil fertility through various agricultural management methods. Further, it is well known that soil organic matter plays an important role in improving the physico-chemical properties of these sandy infertile soils. Therefore, it is essential to develop a suitable tool for the appropriate evaluation of soil organic carbon (SOC) dynamics in the SZ. Therefore, the Rothamsted carbon model (Roth-C) was verified in 32 treatments of two long-term field experiments with and without crop residue application. These experiments were performed by ICRISAT. The performance of the model was evaluated by statistical methods using four indices (RMSE: root mean square error,LOFIT: lack of fit,r: correlation coefficient, andM: mean difference). As a result, the predicted SOC values in the case without crop residue management decreased with time in approximately 10 cultivated years. In contrast, in the case with crop residue application, the predicted SOC remained roughly equal to the initial SOC value during the term observed. Mostly, the Roth-C-modelled values agreed well with the actual value.RMSEandLOFIT, the statistical indicators of agreement between predicted and observed values, showed a significant conformity between the predicted and observed SOC values in all the 32 treatments. This fact means that Roth-C can estimate long-term SOC dynamics of several technical options that developed with short-term trials. Moreover the annual carbon requirement for SOC maintaining can be calculate if enough number of cases was estimated. And also analysis of regional carbon dynamics was made possible with using Roth-C model. It will contribute to show the sustainable development in SZ against global warming and other climatic changes.