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建模个体生长揭示了灰鲸体长的逐渐减少,并与多个尺度的海洋气候指数相关。

Modeling individual growth reveals decreasing gray whale body length and correlations with ocean climate indices at multiple scales.

机构信息

Centre for Research into Ecological and Environmental Modelling, University of St Andrews, St Andrews, Scotland, UK.

Geospatial Ecology of Marine Megafauna Laboratory, Marine Mammal Institute, Department of Fisheries, Wildlife and Conservation Sciences, Oregon State University, Newport, Oregon, USA.

出版信息

Glob Chang Biol. 2024 Jun;30(6):e17366. doi: 10.1111/gcb.17366.

Abstract

Changes in body size have been documented across taxa in response to human activities and climate change. Body size influences many aspects of an individual's physiology, behavior, and ecology, ultimately affecting life history performance and resilience to stressors. In this study, we developed an analytical approach to model individual growth patterns using aerial imagery collected via drones, which can be used to investigate shifts in body size in a population and the associated drivers. We applied the method to a large morphological dataset of gray whales (Eschrichtius robustus) using a distinct foraging ground along the NE Pacific coast, and found that the asymptotic length of these whales has declined since around the year 2000 at an average rate of 0.05-0.12 m/y. The decline has been stronger in females, which are estimated to be now comparable in size to males, minimizing sexual dimorphism. We show that the decline in asymptotic length is correlated with two oceanographic metrics acting as proxies of habitat quality at different scales: the mean Pacific Decadal Oscillation index, and the mean ratio between upwelling intensity in a season and the number of relaxation events. These results suggest that the decline in gray whale body size may represent a plastic response to changing environmental conditions. Decreasing body size could have cascading effects on the population's demography, ability to adjust to environmental changes, and ecological influence on the structure of their community. This finding adds to the mounting evidence that body size is shrinking in several marine populations in association with climate change and other anthropogenic stressors. Our modeling approach is broadly applicable across multiple systems where morphological data on megafauna are collected using drones.

摘要

体型变化已在多个物种种群中被记录下来,以响应人类活动和气候变化。体型大小影响个体生理、行为和生态学的许多方面,最终影响生活史表现和对压力的适应能力。在这项研究中,我们开发了一种分析方法,使用无人机采集的航空图像来模拟个体生长模式,该方法可用于研究种群中体型的变化及其相关驱动因素。我们将该方法应用于沿东北太平洋海岸的一个独特觅食地的大型灰鲸(Eschrichtius robustus)形态数据集,发现自 2000 年左右以来,这些鲸鱼的渐近体长以 0.05-0.12 m/y 的平均速度下降。这种下降在雌性中更为明显,据估计,现在雌性灰鲸的体型与雄性相当,从而最小化了性别二态性。我们表明,渐近体长的下降与两个海洋学指标相关,这两个指标分别代表不同尺度下栖息地质量的代理指标:太平洋年代际振荡指数的平均值,以及一个季节中上升流强度与松弛事件数量之比的平均值。这些结果表明,灰鲸体型的下降可能代表了对环境变化的一种可塑性反应。体型的减小可能会对种群的人口统计学、适应环境变化的能力以及对其群落结构的生态影响产生级联效应。这一发现增加了越来越多的证据,即与气候变化和其他人为压力源相关联,一些海洋种群的体型正在缩小。我们的建模方法广泛适用于使用无人机收集大型动物形态数据的多个系统。

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