Selective predation by benthivorous fish on stream macroinvertebrates - The role of prey traits and prey abundance

被引:28
作者
Worischka, Susanne [1 ,2 ]
Schmidt, Susanne Isabel [3 ]
Hellmann, Claudia [2 ]
Winkelmann, Carola [2 ]
机构
[1] Tech Univ Dresden, Inst Hydrobiol, D-01062 Dresden, Germany
[2] Univ Koblenz Landau, Dept Biol, D-56070 Koblenz, Germany
[3] Univ Birmingham, Coll Life & Environm Sci, Birmingham B15 2TT, W Midlands, England
来源
LIMNOLOGICA | 2015年 / 52卷
关键词
Barbatula barbatula; Feeding behaviour; Non-visual foraging; Gobio gobio; Size selectivity; Searching image; SIZE SELECTION; BENTHIC STREAM; BROWN TROUT; MICROHABITAT USE; HABITAT USE; DRY MASS; DRIFT; BARBATULA; ENERGY; ZOOPLANKTON;
D O I
10.1016/j.limno.2015.03.004
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The prey selectivity of fish depends largely on traits of the prey and the predator. Preferable prey traits might be different for visual predators (such as drift-feeding salmonids) and rather non-visual predators (such as benthic feeders). We evaluated the explanatory power of five prey traits and prey long-term abundance for the prey selection of small benthivorous fish by analysing the macroinvertebrate community and the diet of gudgeon (Gobio gobio) and stone loach (Barbatula barbatula) in two small submontane streams. Fuzzy principal component analyses, as well as electivity indices, revealed that the fish fed selectively. Prey size and feeding type were the most descriptive variables for the fish diet, followed by mean abundance, whereas microhabitat preference, locomotion mode and current velocity preference were less important. The fish preferred prey that was both small and consistently abundant, grazers and sediment feeders. Larger prey and shredders were avoided. The selection patterns of both fish species differed from those of visual fish predators but strongly resembled each other. Supporting this, in gudgeon which feeds slightly more visually than the strictly nocturnal stone loach, selectivity concerning prey traits as well as prey mean abundance was slightly more pronounced. We analyzed also selectivity for prey clusters based on the three most important variables. The observed selectivity patterns concerning these clusters were less pronounced but supported the other results. The maximum (neutral) electivity index was that of gudgeon for small, abundant grazers or sediment feeders, including chironomids. We conclude that prey selection of benthivorous fish that forage mainly non-visually can largely be explained by a small number of prey traits which probably work in combination. The prey preferences of these predators seem to be closely connected to their active foraging mode and to depend partly on the ability to detect prey visually. (C) 2015 Elsevier GmbH. All rights reserved.
引用
收藏
页码:41 / 50
页数:10
相关论文
共 80 条
[11]   Robust fuzzy principal component analysis (FPCA).: A comparative study concerning interaction of carbon-hydrogen bonds with molybdenum-oxo bonds [J].
Cundari, TR ;
Sârbu, C ;
Pop, HF .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2002, 42 (06) :1363-1369
[12]   Effects of a benthivorous and a drift-feeding fish on a benthic stream assemblage [J].
Dahl, J .
OECOLOGIA, 1998, 116 (03) :426-432
[13]   Traits of brown trout prey in relation to habitat characteristics and benthic invertebrate communities [J].
De Billy, VD ;
Usseglio-Polatera, P .
JOURNAL OF FISH BIOLOGY, 2002, 60 (03) :687-714
[14]   The ade4 package: Implementing the duality diagram for ecologists [J].
Dray, Stephane ;
Dufour, Anne-Beatrice .
JOURNAL OF STATISTICAL SOFTWARE, 2007, 22 (04) :1-20
[15]   ROLE OF TIME AND ENERGY IN FOOD PREFERENCE [J].
EMLEN, JM .
AMERICAN NATURALIST, 1966, 100 (916) :611-+
[16]   Assemblage structure and habitat use of fishes in a Central European submontane stream:: a patch-based approach [J].
Eros, T ;
Botta-Dukát, Z ;
Grossman, GD .
ECOLOGY OF FRESHWATER FISH, 2003, 12 (02) :141-150
[17]   Integrated modelling of foraging behaviour, energy budget and memory properties [J].
Esposito, S. ;
Incerti, G. ;
Giannino, F. ;
Russo, D. ;
Mazzoleni, S. .
ECOLOGICAL MODELLING, 2010, 221 (09) :1283-1291
[18]  
Fairchild MP, 2005, J N AM BENTHOL SOC, V24, P101, DOI 10.1899/0887-3593(2005)024<0101:MPEOMS>2.0.CO
[19]  
2
[20]  
Filek W. V., 1960, Zeitschrift fuer Tierpsychologie, V17, P420