Thomson Jordan A, Whitman Elizabeth R, Garcia-Rojas Maria I, Bellgrove Alecia, Ekins Merrick, Hays Graeme C, Heithaus Michael R
School of Life and Environmental Sciences, Centre for Integrative Ecology, Deakin University, Warrnambool Campus, P.O. Box 423, Warrnambool, VIC, 3280, Australia.
Department of Biological Sciences, School of Environment, Arts and Society, Florida International University, 3000 NE 151st St., North Miami, FL, 33181, USA.
Oecologia. 2018 Oct;188(2):429-439. doi: 10.1007/s00442-018-4218-z. Epub 2018 Jul 10.
Stable isotope analysis (SIA) can be a useful tool for tracking the long-distance movements of migratory taxa. However, local-scale sources of isotopic variation, such as differences in habitat use or foraging patterns, may complicate these efforts. Few studies have evaluated the implications of local-scale foraging specializations for broad-scale isotope-based tracking. Here, we use > 300 h of animal-borne video footage from green turtles (Chelonia mydas) paired with SIA of multiple tissues, as well as fine-scale Fastloc-GPS satellite tracking, to show that dietary specialization at a single foraging location (Shark Bay, Western Australia) drives a high level of among-individual δC variability (δC range = 13.2‰). Green turtles in Shark Bay were highly omnivorous and fed selectively, with individuals specializing on different mixtures of seagrasses, macroalgae and invertebrates. Furthermore, green turtle skin δC and δN dispersion within this feeding area (total isotopic niche area = 41.6) was comparable to that from a well-studied rookery at Tortuguero, Costa Rica, where isotopic dispersion (total isotopic niche area = 44.9) is known to result from large-scale (> 1500 km) differences in foraging site selection. Thus, we provide an important reminder that two different behavioral dynamics, operating at very different spatial scales, can produce similar levels of isotopic variability. We urge an added degree of caution when interpreting isotope data for migratory species with complex foraging strategies. For green turtles specifically, a greater appreciation of trophic complexity is needed to better understand functional roles, resilience to natural and anthropogenic disturbances, and to improve management strategies.
稳定同位素分析(SIA)可以成为追踪迁徙类群远距离移动的有用工具。然而,同位素变异的局部尺度来源,如栖息地利用或觅食模式的差异,可能会使这些工作变得复杂。很少有研究评估局部尺度觅食专业化对基于同位素的广泛追踪的影响。在这里,我们使用了超过300小时的绿海龟(蠵龟)动物携带视频 footage,并结合多种组织的SIA以及精细尺度的Fastloc-GPS卫星追踪,以表明在单一觅食地点(西澳大利亚鲨鱼湾)的饮食专业化导致个体间δC的高度变异性(δC范围 = 13.2‰)。鲨鱼湾的绿海龟是高度杂食性的,且有选择性地觅食,个体专门食用不同比例的海草、大型藻类和无脊椎动物。此外,该觅食区域内绿海龟皮肤δC和δN的离散度(总同位素生态位面积 = 41.6)与在哥斯达黎加托尔图格罗一个经过充分研究的筑巢地的情况相当,在那里,同位素离散度(总同位素生态位面积 = 44.9)已知是由觅食地点选择的大规模(>1500公里)差异导致的。因此,我们提供了一个重要的提醒,即在非常不同的空间尺度上运作的两种不同行为动态,可以产生相似水平的同位素变异性。我们敦促在解释具有复杂觅食策略的迁徙物种的同位素数据时要格外谨慎。特别是对于绿海龟,需要更深入地了解营养复杂性,以便更好地理解其功能作用、对自然和人为干扰的恢复力,并改进管理策略。