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Simulation and quantification of pasture condition and animal performance on boreal grasslands in Alberta

机译:模拟和量化艾伯塔省北方草原的牧场状况和动物生产性能

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摘要

We developed a computer model (PASTURE) to simulate both condition of pastures grazed by farmed wildlife and animal performance as dual measures of system performance. For representative habitat types (e.g., aspen forest and open grasslands), the model simulates herbage growth, maturation and senescence, habitat and diet selection, and nutrient intake of several wild ruminant species. The model generated seasonal patterns of pasture productivity and animal behavior expected for Bromus-Poa pastures inaspen boreal ecosystems. Model calibration was conducted using data collected from studies conducted within the aspen boreal ecosystems at the Ministik Research Station in 1997 and 1998, and Elk Island National Park and the University of Alberta greenhouse in 1999 and parameters adjusted until the predicted and observed results were visibly close. Evaluation of the model was conducted using statistical criteria of calculating average error, root mean square, root mean square error, coefficient of residual mass and modeling efficiency and comparing these statistics against optimal values. Statistical tests indicated a good fit between predicted and observed values for cumulative phy-tomass, herbage use and animal performance.
机译:我们开发了一种计算机模型(PASTURE),以模拟因养殖野生动植物而吃草的牧场状况和作为系统性能的双重指标的动物性能。对于代表性的栖息地类型(例如,白杨林和开阔的草原),该模型模拟了几种野生反刍动物的牧草生长,成熟和衰老,栖息地和饮食选择以及营养摄入。该模型生成了无树北方生态系统中布鲁姆斯-波阿牧场的牧场生产力和动物行为的季节性模式。使用从1997年和1998年在Ministik研究站,Elk Island国家公园和Alberta大学温室中的白杨北方生态系统内进行的研究收集的数据进行模型校准,并调整参数,直到明显地接近预期和观察到的结果。使用计算平均误差,均方根,均方根误差,残余质量系数和建模效率的统计标准对模型进行评估,并将这些统计与最佳值进行比较。统计测试表明,累积的植物气调,牧草使用和动物生长状况的预测值与观察值之间具有良好的一致性。

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