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评估两种方法在爱荷华州中部蝴蝶密度估计中的差异。

Evaluating differences in density estimation for central Iowa butterflies using two methodologies.

机构信息

Department of Natural Resource Ecology and Management, Iowa State University, Ames, IA, United States of America.

Iowa Department of Natural Resources, Des Moines, IA, United States of America.

出版信息

PeerJ. 2023 Oct 9;11:e16165. doi: 10.7717/peerj.16165. eCollection 2023.

Abstract

The Pollard-Yates transect is a widely used method for sampling butterflies. Data from these traditional transects are analyzed to produce density estimates, which are then used to make inferences about population status or trends. A key assumption of the Pollard-Yates transect is that detection probability is 1.0, or constant but unknown, out to a fixed distance (generally 2.5 m on either side of a transect line). However, species-specific estimates of detection probability would allow for sampling at farther distances, resulting in more detections of individuals. Our objectives were to (1) evaluate butterfly density estimates derived from Pollard-Yates line transects and distance sampling, (2) estimate how detection probabilities for butterflies vary across sampling distances and butterfly wing lengths, and (3) offer advice on future butterfly sampling techniques to estimate population density. We conducted Pollard-Yates transects and distance-sampling transects in central Iowa in 2014. For comparison to densities derived from Pollard-Yates transects, we used Program DISTANCE to model detection probability (p) and estimate density (D) for eight butterfly species representing a range of morphological characteristics. We found that detection probability among species varied beyond 2.5 m, with variation apparent even within 5 m of the line. Such variation correlated with wing size, where species with larger wing size generally had higher detection probabilities. Distance sampling estimated higher densities at the 5-m truncation for five of the eight species tested. At this truncation, detection probability was <0.8 for all species, and ranged from 0.53 to 0.79. With the exception of the little yellow (), species with median wing length <5.0 mm had the lowest detection probabilities. We recommend that researchers integrate distance sampling into butterfly sampling and monitoring, particularly for studies utilizing survey transects >5 m wide and when smaller species are targeted.

摘要

波拉德-耶茨横截是一种广泛用于蝴蝶采样的方法。对这些传统横截线上的数据进行分析,以生成密度估计值,然后利用这些密度估计值来推断种群状况或趋势。波拉德-耶茨横截的一个关键假设是,在固定距离(通常为横截线两侧 2.5 米)之外,检测概率为 1.0 或恒定但未知。然而,特定物种的检测概率估计可以允许在更远的距离进行采样,从而更频繁地检测到个体。我们的目标是:(1) 评估来自波拉德-耶茨线横截和距离抽样的蝴蝶密度估计值;(2) 估计蝴蝶的检测概率如何随采样距离和蝴蝶翅膀长度而变化;(3) 提供有关未来蝴蝶采样技术的建议,以估计种群密度。我们于 2014 年在爱荷华州中部进行了波拉德-耶茨横截和距离抽样横截。为了与波拉德-耶茨横截线得出的密度值进行比较,我们使用 Program DISTANCE 来模拟检测概率 (p) 并估计 8 种蝴蝶物种的密度 (D),这些蝴蝶物种代表了一系列形态特征。我们发现,物种之间的检测概率在 2.5 米之外有所不同,即使在离线 5 米之内也存在明显的差异。这种变化与翅膀大小相关,翅膀较大的物种通常具有较高的检测概率。距离抽样在 8 种测试物种中的 5 种在 5 米截断处估计出更高的密度。在这个截断处,所有物种的检测概率均<0.8,范围从 0.53 到 0.79。除了小黄 () 外,翅膀长度中位数<5.0 毫米的物种的检测概率最低。我们建议研究人员将距离抽样纳入蝴蝶采样和监测中,特别是对于使用宽度>5 米的调查横截和针对较小物种的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/331b/10569161/757fd2d06e64/peerj-11-16165-g001.jpg

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