Calvert Jay, McGonigle Chris, Sethi Suresh Andrew, Harris Bradley, Quinn Rory, Grabowski Jon
School of Geography & Environmental Science University of Ulster Coleraine UK.
U.S. Geological Survey New York Cooperative Fish and Wildlife Research Unit Cornell University Ithaca New York.
Ecol Evol. 2018 Sep 21;8(20):10192-10205. doi: 10.1002/ece3.4493. eCollection 2018 Oct.
Species distribution models (SDMs) are commonly used to model the spatial structure of species in the marine environment, however, most fail to account for detectability of the target species. This can result in underestimates of occupancy, where nondetection is conflated with absence. The site occupancy model (SOM) overcomes this failure by treating occupancy as a latent variable of the model and incorporates a detection submodel to account for variability in detection rates. These have rarely been applied in the context of marine fish and never for the multiseason dynamic occupancy model (DOM). In this study, a DOM is developed for a designated species of concern, cusk (), over a four-season period. Making novel use of a high-resolution 3-dimensional hydrodynamic model, detectability of cusk is considered as a function of current speed and algae cover. Algal cover on the seabed is measured from video surveys to divide the study area into two distinct regions: those with canopy forming species of algae and those without (henceforth bottom types). Modeled estimates of the proportion of sites occupied in each season are 0.88, 0.45, 0.74, and 0.83. These are significantly greater than the proportion of occupied sites measured from underwater video observations which are 0.57, 0.28, 0.43, and 0.57. Individual fish are detected more frequently with increasing current speed in areas lacking canopy and less frequently with increasing current speed in areas with canopy. The results indicate that, where possible, SDM studies for all marine species should take account of detectability to avoid underestimating the proportion of sites occupied at a given study area. Sampling closed areas or areas of conservation often requires the use of nonphysical, low impact sampling methods like camera surveys. These methods inherently result in detection probabilities less than one, an issue compounded by time-varying features of the environment that are rarely accounted for marine studies. This work highlights the use of modeled hydrodynamics as a tool to correct some of this imbalance.
物种分布模型(SDMs)通常用于模拟海洋环境中物种的空间结构,然而,大多数模型未能考虑目标物种的可探测性。这可能导致对占有率的低估,即未检测到被等同于不存在。位点占有率模型(SOM)通过将占有率视为模型的潜在变量来克服这一缺陷,并纳入一个检测子模型以考虑检测率的变异性。这些模型很少应用于海洋鱼类的研究,更从未用于多季节动态占有率模型(DOM)。在本研究中,针对一种指定的受关注物种——鳕鱼(),开发了一个为期四个季节的DOM。创新性地利用高分辨率三维水动力模型,将鳕鱼的可探测性视为当前速度和藻类覆盖的函数。通过视频调查测量海底藻类覆盖情况,将研究区域划分为两个不同区域:有形成树冠的藻类物种的区域和没有的区域(以下简称底部类型)。每个季节位点被占据比例的模型估计值分别为0.88、0.45、0.74和0.83。这些值显著高于从水下视频观测测量得到的被占据位点比例,分别为0.57、0.28、0.43和0.57。在没有树冠的区域,随着水流速度增加,个体鱼被检测到的频率更高;而在有树冠的区域,随着水流速度增加,个体鱼被检测到的频率更低。结果表明,在可能的情况下,所有海洋物种的SDM研究都应考虑可探测性,以避免低估给定研究区域内被占据位点的比例。对封闭区域或保护区进行采样通常需要使用非物理、低影响的采样方法,如相机调查。这些方法本质上导致检测概率小于1,而海洋研究中很少考虑的环境随时间变化的特征又加剧了这一问题。这项工作强调了使用模拟水动力作为纠正这种不平衡的一种工具。