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'Catch me if you can': Evaluating the population size in the presence of a spatial pattern

机译:“如果可以,请抓住我”:在存在空间格局的情况下评估人口规模

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Many biological and ecological problems require accurate evaluation of the total population size. We discuss a sampling procedure used for evaluation of the population abundance from information collected on a grid of spatial sampling locations. It is shown in the paper how insufficient information about the spatial population density obtained on a coarse sampling grid affects the accuracy of evaluation. The insufficient information is collected because of inadequate spatial resolution of the population density on coarse grids and this is especially true when a heterogeneous spatial population is sampled. It is argued in the paper that the evaluation error is a random variable on coarse sampling grids because of the uncertainty in sampling spatial data and a probabilistic approach should be employed in the evaluation procedure. We also show that there exists a threshold number of sampling locations on a regular sampling grid where we can guarantee desired accuracy of evaluation. Information about the threshold number of sampling locations allows one to reconcile the probabilistic approach based on the assumption about randomness of sampling data with the deterministic approach based on the requirement that spatial data are collected only once as the sampling procedure cannot be repeated under the same conditions. (C) 2017 Elsevier B.V. All rights reserved.
机译:许多生物学和生态问题需要对总人口规模进行准确评估。我们讨论了一种采样程序,该程序用于从在空间采样位置的网格上收集的信息来评估人口数量。本文显示了在粗糙的采样网格上获得的有关空间人口密度的信息不足如何影响评估的准确性。由于粗糙网格上人口密度的空间分辨率不足,因此无法收集到足够的信息,当对异类空间人口进行采样时,尤其如此。本文认为,由于采样空间数据的不确定性,在粗略采样网格上,评估误差是一个随机变量,评估过程中应采用概率方法。我们还表明,在常规采样网格上存在阈值数量的采样位置,可以保证所需的评估准确性。有关采样位置的阈值数量的信息使人们可以将基于采样数据随机性假设的概率方法与基于要求空间数据仅收集一次的要求的确定性方法相一致,因为在相同条件下不能重复采样过程。 (C)2017 Elsevier B.V.保留所有权利。

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