School of Mathematics and Statistics, Centre for Research into Ecological and Environmental Modelling, University of St Andrews, St Andrews, United Kingdom.
United States Geological Survey, Pacific Island Ecosystems Research Center, Hawai'i National Park, Hawai'i, United States.
PeerJ. 2023 Jun 14;11:e15558. doi: 10.7717/peerj.15558. eCollection 2023.
Birds are often obligate to specific habitats which can result in study areas with complex boundaries due to sudden changes in vegetation or other features. This can result in study areas with concave arcs or that include holes of unsuitable habitat such as lakes or agricultural fields. Spatial models used to produce species' distribution and density estimates need to respect such boundaries to make informed decisions for species conservation and management. The soap film smoother is one model for complex study regions which controls the boundary behaviour, ensuring realistic values at the edges of the region. We apply the soap film smoother to account for boundary effects and compare it with thin plate regression spline (TPRS) smooth and design-based conventional distance sampling methods to produce abundance estimates from point-transect distance sampling collected data on Hawai'i 'Ākepa in the Hakalau Forest Unit of the Big Island National Wildlife Refuge Complex, Hawai'i Island, USA. The soap film smoother predicted zero or near zero densities in the northern part of the domain and two hotspots (in the southern and central parts of the domain). Along the boundary the soap film model predicted relatively high densities where 'Ākepa occur in the adjacent forest and near zero elsewhere. The design-based and soap film abundance estimates were nearly identical. The width of the soap film confidence interval was 16.5% and 0.8% wider than the width of the TPRS smooth and design-based confidence intervals, respectively. The peaks in predicted densities along the boundary indicates leakage by the TPRS smooth. We provide a discussion of the statistical methods, biological findings and management implications of applying soap film smoothers to estimate forest bird population status.
鸟类通常依赖于特定的栖息地,这可能导致由于植被或其他特征的突然变化,研究区域的边界变得复杂。这可能导致研究区域具有凹弧或包含不适宜栖息地的孔,例如湖泊或农田。用于生成物种分布和密度估计的空间模型需要尊重这些边界,以便为物种保护和管理做出明智的决策。肥皂膜平滑器是一种用于复杂研究区域的模型,它可以控制边界行为,确保在区域边缘具有真实的值。我们应用肥皂膜平滑器来考虑边界效应,并将其与薄板回归样条(TPRS)平滑和基于设计的传统距离抽样方法进行比较,以从夏威夷‘阿凯帕(Hawaii 'Ākepa)在大岛国家野生动物保护区哈卡拉乌森林区收集的点-截距距离抽样数据中生成丰度估计。肥皂膜平滑器预测在该区域的北部存在零或接近零的密度,并且存在两个热点(在该区域的南部和中部)。在边界沿线,肥皂膜模型预测出相对较高的密度,因为‘阿凯帕在相邻的森林中出现,而在其他地方则接近零。基于设计的和肥皂膜的丰度估计几乎相同。肥皂膜置信区间的宽度比 TPRS 平滑和基于设计的置信区间的宽度分别宽 16.5%和 0.8%。沿边界预测密度的峰值表明 TPRS 平滑存在泄漏。我们提供了对应用肥皂膜平滑器来估计森林鸟类种群状况的统计方法、生物学发现和管理意义的讨论。