期刊论文详细信息
Marine Ecology Progress Series
From lavage to lipids: estimating diets of seabirds
Sara J. Iverson1  Nina J. Karnovsky1  Keith A. Hobson1 
关键词: Diet;    Seabird;    Stable isotope;    Isoscape;    Mixing models;    Bayesian;    Quantitative fatty acid signature analysis;    QFASA;   
DOI  :  10.3354/meps09713
学科分类:海洋学与技术
来源: Inter-Research
PDF
【 摘 要 】

ABSTRACT: Understanding seabird marine habitat affinities, at-sea behavior, variability in reproductive success, migratory patterns, phenology, and other life history traits depends primarily on knowledge of the prey that they consume. Traditionally, estimating diets has been done through classification and enumeration of prey remains found in stomach contents of seabirds collected at sea, as well as chick meals, pellets, and feces collected at breeding colonies. These techniques have the advantage of high taxonomic resolution of prey, but suffer from biases due to the underestimation of soft-bodied or small prey that are digested completely and overestimation of prey with durable parts that are retained for long periods of time. Recent innovations in 2 biochemical assays of seabird tissues—stable isotope and fatty acid analyses—have greatly expanded knowledge of seabird diets and have advanced our understanding of the ways in which seabirds can indicate inter-seasonal, annual, decadal, and longer shifts in oceanographic conditions over varying spatial scales. Advances in statistical approaches to these data have provided new ways in which prey can be identified and quantified. When applied in combination, these 3 techniques (traditional diet sampling, and stable isotope and fatty acid analyses) have the potential to reveal pathways of energy flux across marine ecosystems and to provide new insight into marine ecosystem dynamics. We review the basic principles of these approaches to determining seabird diet and emphasize the need for more formal conceptual and statistical integration of methods to advance this field.

【 授权许可】

Unknown   

【 预 览 】
附件列表
Files Size Format View
RO201912010134835ZK.pdf 792KB PDF download
  文献评价指标  
  下载次数:12次 浏览次数:16次