Fisheries and Aquatic Sciences, University of Florida, Gainesville, Florida, United States of America ; Grand Manan Whale and Seabird Research Station, Grand Manan, New Brunswick, Canada.
PLoS One. 2013 Dec 4;8(12):e82074. doi: 10.1371/journal.pone.0082074. eCollection 2013.
The local distribution of basking sharks in the Bay of Fundy (BoF) is unknown despite frequent occurrences in the area from May to November. Defining this species' spatial habitat use is critical for accurately assessing its Special Concern conservation status in Atlantic Canada. We developed maximum entropy distribution models for the lower BoF and the northeast Gulf of Maine (GoM) to describe spatiotemporal variation in habitat use of basking sharks. Under the Maxent framework, we assessed model responses and distribution shifts in relation to known migratory behavior and local prey dynamics. We used 10 years (2002-2011) of basking shark surface sightings from July-October acquired during boat-based surveys in relation to chlorophyll-a concentration, sea surface temperature, bathymetric features, and distance to seafloor contours to assess habitat suitability. Maximum entropy estimations were selected based on AICc criterion and used to predict habitat utilizing three model-fitting routines as well as converted to binary suitable/non-suitable habitat using the maximum sensitivity and specificity threshold. All models predicted habitat better than random (AUC values >0.796). From July-September, a majority of habitat was in the BoF, in waters >100 m deep, and in the Grand Manan Basin. In October, a majority of the habitat shifted southward into the GoM and to areas >200 m deep. Model responses suggest that suitable habitat from July - October is dependent on a mix of distance to the 0, 100, 150, and 200 m contours but in some models on sea surface temperature (July) and chlorophyll-a (August and September). Our results reveal temporally dynamic habitat use of basking sharks within the BoF and GoM. The relative importance of predictor variables suggests that prey dynamics constrained the species distribution in the BoF. Also, suitable habitat shifted minimally from July-September providing opportunities to conserve the species during peak abundance in the region.
尽管在 5 月至 11 月期间,芬迪湾(BoF)经常出现,但该地区的姥鲨局部分布情况仍未知。确定该物种的空间栖息地利用情况对于准确评估其在加拿大大西洋地区的特殊关注保护状况至关重要。我们为下芬迪湾和东北缅因湾(GoM)开发了最大熵分布模型,以描述姥鲨在时空上的栖息地利用变化。在 Maxent 框架下,我们评估了模型对已知洄游行为和当地猎物动态的响应和分布变化。我们使用了 10 年来(2002-2011 年)在船载调查中获得的 7 月至 10 月姥鲨的水面目击数据,这些数据与叶绿素-a 浓度、海面温度、水深特征以及距海底等高线的距离有关,以评估栖息地适宜性。最大熵估计是根据 AICc 标准选择的,并用于预测利用三种模型拟合例程的栖息地,以及使用最大灵敏度和特异性阈值将其转换为二进制适宜/不适宜栖息地。所有模型的预测都优于随机(AUC 值>0.796)。7 月至 9 月,大部分栖息地在水深>100 米的 BoF 水域和大曼岛盆地。10 月,大部分栖息地向南转移到 GoM 地区和水深>200 米的地区。模型响应表明,7 月至 10 月的适宜栖息地取决于距 0、100、150 和 200 米等高线的距离,但在某些模型中也取决于海面温度(7 月)和叶绿素-a(8 月和 9 月)。我们的研究结果揭示了姥鲨在 BoF 和 GoM 内部的时空动态栖息地利用情况。预测变量的相对重要性表明,猎物动态限制了该物种在 BoF 的分布。此外,7 月至 9 月的适宜栖息地变化最小,为该地区姥鲨数量高峰期提供了保护物种的机会。