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Modelling of energy flow rotational grazing and potential productivity in an alpine meadow grazing ecosystem

机译:高寒草甸放牧生态系统能量流旋转放牧和潜在生产力的建模

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An eight-compartment model of the energy dynamics of an alpine meadow-sheep grazing ecosystem was proposed based on SHIYOMI system approach. The compartments were the above-ground plant portion the underground live portion including roots the underground dead portion including roots the above-ground litter I degradable portion the above-ground litter II undegradable portion the sheep intake the sheep liveweight and the faeces. Energy flows between the eight compartments were described by eight simultaneous differential equations. All parameters in the model were determined from paddock experiments. The model was designed to provide a practical method for estimating the effects of the number of rotational grazing subplots' grazing period and grazing pressure on the performance of grazing systems for perennial alpine meadow pasture. The model provides at least 28 different attributes for characterizing the performance of the grazing system. Analyses of 270 simulated rotational grazing systems of summer-autumn meadow pasture grazing from 1 st June to 30 October each year provided an inference base to support two recommendations concerning management variables. Firsr with a three-paddock-29-day grazing period and 30.14 kJ m−2 day−1 grazing pressure scheme the system has the highest total grazing intake 4250.44 kJ m−2 during the grazing season. Secondly with a three-paddock 7-day grazing period and 28.89 kJ m−2 day−1 grazing pressure scheme the accumulated graze is 4073.34 kJ m−2. The potential productivity of the alpine meadow under grazing is defined in this paper as the maximal dry biomass of herbage grazed by the grazing animals over the whole growing season. It has been analysed by applying optimal control theory to the model. The productivity is regarded as the objective function to be maximized through optimization of the time course of the grazing pr-n-nessure the control variable. The results show that 1 under constant grazing pressure the optimal grazing pressure is f16 = 25.90 kJ m−2 day−1 f46= f156 = 0 with the highest accumulated intake of J1 = 3268.17 kJ m−2 and 2 the optimal grazing pressure is f16 = 25.94 kJ m−2 day−1 f46 ≠ 0 f156 ≠ 0 with the maxial accumulated intake J145 = 3500.39 kJ m−2. Under variable grazing pressure the dynamics of optimal grazing pressure is shown in Fig. 6 a and Eqs. 9 11 while the potential productivity the highest accumulated intake is J145 = 8749.01 kJm−2 2.5 times the constant grazing pressure.
机译:提出了一种基于SHIYOMI系统方法的八格高寒草甸-绵羊放牧生态系统能量动态模型。隔间是地上植物部分,包括根的地下活部分,包括根的地上枯死部分,地上凋落物I可降解部分,地上凋落物II不可降解部分,绵羊摄取绵羊活重和粪便。通过八个联立的微分方程描述了八个隔室之间的能量流。模型中的所有参数均由围场实验确定。该模型旨在为估算旋转放牧子群的放牧期数和放牧压力对多年生高寒草甸牧场放牧系统性能的影响提供一种实用的方法。该模型提供了至少28个不同的属性,以表征放牧系统的性能。每年6月1日至10月30日对270个夏季-秋季草甸牧场放牧旋转模拟系统进行分析,为支持有关管理变量的两项建议提供了推论基础。具有三围场29天放牧期和30.14 kJ m -2 天 -1 放牧压力方案的Firsr,该系统具有最高的总放牧摄入量4250.44 kJ m <放牧季节的sup> -2 。其次,在三围场放牧7天和28.89 kJ m -2 天 -1 放牧压力方案下,累计吃草量为4073.34 kJ m -2 < / sup>。本文将高寒草甸放牧的潜在生产力定义为在整个生长季节中放牧动物放牧的牧草的最大干生物量。通过将最优控制理论应用于模型进行了分析。生产率被认为是通过优化放牧时间控制变量的时间过程而最大化的目标函数。结果表明,在恒定放牧压力下,1的最佳放牧压力为f 16 = 25.90 kJ m −2 day -1 f 46 = f 156 = 0,最大累积采食量为J 1 = 3268.17 kJ m -2 和2为最佳放牧压力为f 16 = 25.94 kJ m −2 day −1 f 46 ≠0 f 156 ≠0,最大累积进气量J 145 = 3500.39 kJ m −2 。在可变放牧压力下,最佳放牧压力的动态特性如图6a和等式所示。 9 11,而最高累计采食量的潜在生产力为J 145 = 8749.01 kJm -2 是恒定放牧压力的2.5倍。

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