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首页> 外文期刊>Journal of Wildlife Management >Clarifying Assumptions Behind the Estimation of Animal Density From Camera Trap Rates
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Clarifying Assumptions Behind the Estimation of Animal Density From Camera Trap Rates

机译:从相机陷阱率估算动物密度的背后澄清假设

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摘要

Foster and Harmsen (2012) presented a useful review of density estimation from camera trap data, concluding with an important call for increased rigor and transparency in study design. Although most of their review focuses on mark-recapture and mark-resight analyses, they also briefly critique a recent effort to estimate density of species that cannot be recognized individually, the random encounter model (REM; Rowcliffe et al. 2008). Here, we explain that this critique follows from a misrepresentation of sources of bias in the REM. First, Foster and Harmsen (2012) state that the REM assumes that animals move randomly and independently of one another. This assumption was mathematically convenient to derive a formula linking density with trap rate (Rowcliffe et al. 2008). However, Hutchinson and Waser (2007) demonstrated analytically that violations of this assumption do not bias expected contact rates as a function of density, and Rowcliffe et al. (2008) provided empirical evidence that field results are also unbiased in practice. Thus, the REM is not sensitive to nonrandom or non-independent movement of animals.
机译:Foster和Harmsen(2012)提出了一个有用的综述,即根据相机陷阱数据估算密度,并呼吁在研究设计中增加严谨性和透明度。尽管他们的大多数评论都集中在标记捕获和标记分析方面,但他们也简短地批判了最近的一种估计随机识别模型的努力,即随机遇到的模型(REM; Rowcliffe等,2008)。在这里,我们解释说,这种批评源自对REM中偏见来源的错误陈述。首先,Foster和Harmsen(2012)指出,REM假设动物随机且彼此独立地运动。该假设在数学上很方便推导将密度与捕集率联系起来的公式(Rowcliffe等,2008)。但是,Hutchinson和Waser(2007)的分析表明,违反这一假设不会使预期的接触率随密度变化,Rowcliffe等人(2007年)。 (2008年)提供了实证证据,表明实地结果在实践中也没有偏见。因此,REM对动物的非随机或非独立运动不敏感。

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