Dep. of Biological and Agricultural Engineering, North Carolina State Univ, D.S. Weaver Labs, Raleigh, NC 27695, USA.
J Environ Qual. 2012 May-Jun;41(3):764-82. doi: 10.2134/jeq2011.0388.
We present a hybrid and stand-level forest ecosystem model, DRAINMOD-FOREST, for simulating the hydrology, carbon (C) and nitrogen (N) dynamics, and tree growth for drained forest lands under common silvicultural practices. The model was developed by linking DRAINMOD, the hydrological model, and DRAINMOD-N II, the soil C and N dynamics model, to a forest growth model, which was adapted mainly from the 3-PG model. The forest growth model estimates net primary production, C allocation, and litterfall using physiology-based methods regulated by air temperature, water deficit, stand age, and soil N conditions. The performance of the newly developed DRAINMOD-FOREST model was evaluated using a long-term (21-yr) data set collected from an artificially drained loblolly pine ( L.) plantation in eastern North Carolina, USA. Results indicated that the DRAINMOD-FOREST accurately predicted annual, monthly, and daily drainage, as indicated by Nash-Sutcliffe coefficients of 0.93, 0.87, and 0.75, respectively. The model also predicted annual net primary productivity and dynamics of leaf area index reasonably well. Predicted temporal changes in the organic matter pool on the forest floor and in forest soil were reasonable compared to published literature. Both predicted annual and monthly nitrate export were in good agreement with field measurements, as indicated by Nash-Sutcliffe coefficients above 0.89 and 0.79 for annual and monthly predictions, respectively. This application of DRAINMOD-FOREST demonstrated its capability for predicting hydrology and C and N dynamics in drained forests under limited silvicultural practices.
我们提出了一种混合的和林分水平的森林生态系统模型,DRAINMOD-FOREST,用于模拟在常见的森林抚育实践下,排水后的森林土地的水文、碳(C)和氮(N)动态以及树木生长。该模型是通过将水文模型 DRAINMOD 和土壤 C 和 N 动态模型 DRAINMOD-N II 与森林生长模型连接起来而开发的,森林生长模型主要从 3-PG 模型改编而来。该森林生长模型使用基于生理的方法估算净初级生产力、C 分配和凋落物量,这些方法由空气温度、水分亏缺、林龄和土壤 N 条件调节。新开发的 DRAINMOD-FOREST 模型的性能使用来自美国北卡罗来纳州东部人工排水的火炬松(L.)人工林的长期(21 年)数据集进行了评估。结果表明,DRAINMOD-FOREST 准确地预测了年度、月度和日排水量,纳什-苏特克利夫系数分别为 0.93、0.87 和 0.75。该模型还合理地预测了年净初级生产力和叶面积指数的动态。与已发表的文献相比,预测林地上和森林土壤中的有机质库的时间变化是合理的。年度和月度预测的纳什-苏特克利夫系数分别大于 0.89 和 0.79,表明预测的年度和月度硝酸盐输出与田间测量值吻合良好。DRAINMOD-FOREST 的这种应用证明了它在有限的森林抚育实践下预测排水后的森林水文、C 和 N 动态的能力。