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The logistic model-generated optimal stocking levels, optimal species mix and carrying capacity of wild herbivores in southern rangelands game ranches in Kenya

机译:逻辑模型生成的肯尼亚南部牧场游戏牧场中的野生草食动物的最佳种群数量,最佳物种组合和承载力

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This paper derives logistic models forGrant's gazelleGazella granti,Thompson's gazelle(Gazella Thompsonii) and plains Zebra (Equus burchellii), in a game ranching system. The study was conducted on an 8100 hectares savannah ecosystem in Machakos district, with an average annual rainfall of 514±159.3 mm. Modelled as discrete-time logistic equations with fixed carrying capacities, it captures the wildlife herbivore population dynamics. Time series data, covering a period of 16 years, is used to generate the fixed carrying capacities and the interaction parameters endogenously. The estimation of the logistic models involves estimation of econometric models for each herbivore species, followed by the recovery of the carrying capacities, mathematically. The model-generated carrying capacities are 144.30 AU, 75.53AU and 54.65AU; the equivalent number of animals is 986, 929 and 144; for Grant’s gazelle, Thompson’s gazelle and Zebra, respectively. The derived “maximum sustainable yield” (MSY) stocking levels is 44AU, 24AU and 29AU; the equivalent animal number is 297, 393 and 76; for Grant’s gazelle, Thompson’s gazelle and Zebra, respectively. Similarly, the MSY off-take level is 10.42AU, 8.39AU and 6.37AU for these species respectively. These results show that the discrete-time logistic models are applicable to sustainable management of game ranching enterprise.Keywords:Carryingcapacity,animalunits,gameranching,speciesmix,logisticmodels, MSY.
机译:本文在游戏牧场系统中推导了格兰特瞪羚,瞪羚格兰蒂,汤普森瞪羚(Gazella Thompsonii)和斑马平原(Equus burchellii)的逻辑模型。该研究是在Machakos地区8100公顷的热带稀树草原生态系统上进行的,年平均降雨量为514±159.3 mm。它被建模为具有固定承载能力的离散时间逻辑方程,它捕获了野生动物草食动物种群的动态。涵盖16年的时间序列数据用于内生生成固定的承载能力和交互参数。逻辑模型的估计涉及对每种草食动物物种的计量经济模型的估计,然后是数学上的承载能力的恢复。模型生成的承载能力为144.30 AU,75.53AU和54.65AU;动物的等效数量是986、929和144;分别是格兰特(Grant)的瞪羚,汤普森(Thompson)的瞪羚和斑马(Zebra)。得出的“最大可持续产量”(MSY)库存水平为44AU,24AU和29AU;等效动物数为297、393和76;分别是格兰特(Grant)的瞪羚,汤普森(Thompson)的瞪羚和斑马(Zebra)。同样,这些物种的MSY摄取水平分别为10.42AU,8.39AU和6.37AU。这些结果表明,离散时间物流模型适用于游戏牧场企业的可持续管理。关键词:承载力,动物单位,游戏牧场,物种混合,物流模型,MSY。

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