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通过粪便分析推断澳大利亚海狗猎物种类时间变化的环境相关因素。

Environmental correlates of temporal variation in the prey species of Australian fur seals inferred from scat analysis.

作者信息

Kliska Kimberley, McIntosh Rebecca R, Jonsen Ian, Hume Fiona, Dann Peter, Kirkwood Roger, Harcourt Robert

机构信息

School of Natural Sciences, Macquarie University, Sydney, Australia.

Research Department, Phillip Island Nature Parks, Victoria, Australia.

出版信息

R Soc Open Sci. 2022 Oct 5;9(10):211723. doi: 10.1098/rsos.211723. eCollection 2022 Oct.

Abstract

Marine ecosystems in southeastern Australia are responding rapidly to climate change. We monitored the diet of the Australian fur seal (), a key marine predator, over 17 years (1998-2014) to examine temporal changes. Frequency of occurrence (FO) of prey was used as a proxy for ecosystem change. Hard part analysis identified 71 prey taxa, with eight dominant taxa in greater than 70% of samples and predominantly included benthic and small pelagic fish. FO changed over time, e.g. redbait () reduced after 2005 when jack mackerel () increased, and pilchard () increased after 2009. Using generalized additive models, correlations between FO and environmental variables were evident at both the local (e.g. wind, sea surface temperature (SST)) and regional (e.g. El Niño-Southern Oscillation Index (SOI), Southern Annular Mode (SAM)) scales, with redbait and pilchard showing the best model fits (greater than 75% deviance explained). Positive SAM was correlated to FO for both species, and wind and season were important for redbait, while SOI and SST were important for pilchard. Both large-scale and regional processes influenced prey taxa in variable ways. We predict that the diverse and adaptable diet of the Australian fur seal will be advantageous in a rapidly changing ecosystem.

摘要

澳大利亚东南部的海洋生态系统正在迅速应对气候变化。我们在17年(1998 - 2014年)间监测了澳大利亚海狗()这一关键海洋捕食者的饮食,以研究其随时间的变化。猎物的出现频率(FO)被用作生态系统变化的替代指标。硬组织分析确定了71个猎物分类单元,其中8个优势分类单元在超过70%的样本中出现,主要包括底栖鱼类和小型中上层鱼类。FO随时间变化,例如2005年后红鲈()数量减少,而竹荚鱼()数量增加,2009年后沙丁鱼()数量增加。使用广义相加模型,在局部尺度(如风速、海表面温度(SST))和区域尺度(如厄尔尼诺 - 南方涛动指数(SOI)、南半球环状模(SAM))上,FO与环境变量之间的相关性都很明显,红鲈和沙丁鱼的模型拟合效果最佳(解释的偏差大于75%)。正的SAM与这两个物种的FO都相关,风速和季节对红鲈很重要,而SOI和SST对沙丁鱼很重要。大规模和区域过程都以不同方式影响猎物分类单元。我们预测,澳大利亚海狗多样且适应性强的饮食在快速变化的生态系统中将具有优势。

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