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Diet analysis in piscivorous birds: What can the addition of molecular tools offer?
- Source :
- Ecology & Evolution (20457758); Mar2017, Vol. 7 Issue 6, p1984-1995, 12p
- Publication Year :
- 2017
-
Abstract
- In trophic studies on piscivorous birds, it is vital to know which kind of dietary sample provides the information of interest and how the prey can be identified reliably and efficiently. Often, noninvasively obtained dietary samples such as regurgitated pellets, feces, and regurgitated fish samples are the preferred source of information. Fish prey has usually been identified via morphological analysis of undigested hard parts, but molecular approaches are being increasingly used for this purpose. What remains unknown, however, is which dietary sample type is best suited for molecular diet analysis and how the molecular results compare to those obtained by morphological analysis. Pellets, feces, and regurgitated fish samples of Great Cormorants ( Phalacrocorax carbo sinensis) were examined for prey using both morphological hard part analysis and molecular prey identification. The sample types and methods were compared regarding number of species detected (overall and per sample) as well as the prey species composition and its variability among individual samples. Via molecular analysis, significantly higher numbers of prey species were detected in pellets, feces, and fish samples. Of the three sample types, pellets contained the most comprehensive trophic information and could be obtained with the lowest sampling effort. Contrastingly, dietary information obtained from feces was least informative and most variable. For all sample types, the molecular approach outperformed morphological hard part identification regarding the detectable prey spectrum and prey species composition. We recommend the use of pellets in combination with molecular prey identification to study the diet of piscivorous birds. [ABSTRACT FROM AUTHOR]
- Subjects :
- PISCIVOROUS birds
BIRD food
CORMORANTS
FECES
PREDATION
Subjects
Details
- Language :
- English
- ISSN :
- 20457758
- Volume :
- 7
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Ecology & Evolution (20457758)
- Publication Type :
- Academic Journal
- Accession number :
- 121878269
- Full Text :
- https://doi.org/10.1002/ece3.2790