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首页> 外文期刊>Ecotropica >A COMPARISON OF REGRESSION-BASED ESTIMATES OF DUNG DECAY IN TWO AFRICAN FOREST DUIKER SPECIES (PHILANTOMBA MONTICOLA, CEPHALOPHUS OGILBYI)
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A COMPARISON OF REGRESSION-BASED ESTIMATES OF DUNG DECAY IN TWO AFRICAN FOREST DUIKER SPECIES (PHILANTOMBA MONTICOLA, CEPHALOPHUS OGILBYI)

机译:基于回归分析的两种非洲森林豆科植物粪粪腐烂估计值(PHILANTOMBA MONTICOLA,CEPHALOPHUS OGILBYI)

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Reliable dung decay rate estimates are essential for indirect surveys of forest ungulates, but there are still few reports of this parameter in the literature and there is a lack of consistency in their analytical assessment. In contrast to the standardized and statistically robust protocol for analyzing sign surveys of forest elephants, most duiker dung decay studies provide simple means only. We here report decay rates based on logistic regression on prospective data, collected at Korup National Park, Cameroon, based on 45 dung piles from Ogilbys duiker {Cephalophus ogilby) and on 23 dung piles from blue duiker (Philantomba monticola). Estimates were computed using maximum likelihood-based (R functions jglm' as fixed and 'lmer' as mixed model specification), and quasi-likelihood-based ('Irm' and 'glmmpql') logistic regressions. Ogilbys and blue duiker dung decay rates were estimated at 17 and 11 days on average, respectively. Decay rate estimates did not differ between mixed and standard models in blue duikers and only slightly in Ogilbys duiker. Our model-based decay rate estimates differed considerably from previously published dung decay rates and from arithmetic mean decay rates. Therefore we strongly suggest performing site- and time- specific dung decay experiments and utilizing logistic regression models to estimate dung decay to ensure robust duiker density estimations based on dung density.
机译:可靠的粪便衰减率估算对于森林有蹄类动物的间接调查至关重要,但是文献中关于该参数的报告仍然很少,而且其分析评估也缺乏一致性。与用于分析森林象符号调查的标准化且统计上可靠的协议相反,大多数duiker粪便衰减研究仅提供简单的方法。我们在此基于对前瞻性数据进行逻辑回归得出的衰减率,这些数据是在喀麦隆科鲁普国家公园收集的,基于来自Ogilbys duiker(Cephalophus ogilby)的45粪堆和来自蓝色duiker(Philantomba monticola)的23粪堆。使用基于最大似然性(R函数jglm'为固定值和“ lmer”为混合模型规范)和基于拟似然性(“ Irm”和“ glmmpql”)的逻辑回归来计算估计值。 Ogilbys和蓝色duiker粪便的腐烂率估计平均分别为17天和11天。在蓝色模型中,混合模型与标准模型之间的衰减率估算值没有差异,而在Ogilbys模型中,衰减率估计值仅略有差异。我们基于模型的衰减率估算值与以前发布的粪便衰减率和算术平均衰减率有很大差异。因此,我们强烈建议进行特定地点和特定时间的粪便衰减实验,并利用逻辑回归模型估算粪便衰减,以确保基于粪便密度的可靠的杜克密度估算。

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