2012
DOI: 10.1080/02705060.2011.641357
|View full text |Cite
|
Sign up to set email alerts
|

The effect of vegetation density on juvenile bluegill diet and growth

Abstract: Experimental ponds (0.4 ha) were used to evaluate the effects of vegetation density on bluegill (Lepomis macrochirus) diet and growth in the absence of pelagic predation risk. Fish (30-50 mm, total length) were stocked at a rate of 15 kg per pond. By the end of the 3-month experiment, bluegill in the low vegetation treatment (109 g m À2 AE 21.0 SE, n ¼ 4) had grown 20% longer than the fish in the high vegetation treatment (712 g m À2 AE 54.3 SE, n ¼ 4) despite having similar mean stomach fullness. Bluegill in … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
6
0

Year Published

2014
2014
2022
2022

Publication Types

Select...
6
1

Relationship

4
3

Authors

Journals

citations
Cited by 10 publications
(6 citation statements)
references
References 56 publications
0
6
0
Order By: Relevance
“…Our findings provide indirect support for this pattern, based on the interpretation of multiple lines of evidence. Juvenile bluegill often aggregate near vegetated habitats in both lentic and lotic environments (Dewey, Richardson & Zigler, ; Harrel & Dibble, ; Mittelbach & Osenberg, ; Shoup et al., ). Juvenile bluegill in this experiment derived a sizeable portion of their energy from macroinvertebrates commonly associated with vegetated habitats in all treatments, which is consistent with the aforementioned studies.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Our findings provide indirect support for this pattern, based on the interpretation of multiple lines of evidence. Juvenile bluegill often aggregate near vegetated habitats in both lentic and lotic environments (Dewey, Richardson & Zigler, ; Harrel & Dibble, ; Mittelbach & Osenberg, ; Shoup et al., ). Juvenile bluegill in this experiment derived a sizeable portion of their energy from macroinvertebrates commonly associated with vegetated habitats in all treatments, which is consistent with the aforementioned studies.…”
Section: Discussionmentioning
confidence: 99%
“…The first mechanism posits that the reduction in zooplankton by bighead carp will reduce the growth and survival of bluegill. The second mechanism posits that bighead carp can indirectly facilitate bluegill by shifting zooplankton to vegetated habitats where juvenile bluegill reside (Harrel & Dibble, 2001;Mittelbach & Osenberg, 1993;Shoup, Nannini, & Wahl, 2012). For example, zooplankton will avoid predation by moving vertically or laterally into nearby habitats (Burks et al, 2002;Lauridsen & Lodge, 1996;Moss et al, 1994).…”
mentioning
confidence: 99%
“…Although our study was not designed to directly test the mechanisms involved, it is possible that changes in foraging return and/or predation risk were cues that were at least in part responsible for this behavior, as predicted by Shoup et al (2003). When large-bodied zooplankton are abundant in the pelagic zone (Mittelbach 1981;Werner and Hall 1988), or when littoral habitat has complex cover (Gotceitas 1990b;Pothoven et al 1999;Shoup et al 2007Shoup et al , 2012, Bluegills typically experience greater returns by foraging in the pelagic zone, but are often confined to vegetation during daylight hours by predation risk (Mittelbach 1981;Werner et al 1983;Gotceitas and Colgan 1987). We observed nocturnal acoustic returns consistent with large vertically migrating (Lampert 1989;Dodson 1990) zooplankton species (i.e., −64 -−60 dB; Echmann 1998; Jones and Xie 1994; Knudsen et al 2006), and sampling zooplankton on two dates (N = 4 for each time of day) validated these targets as primarily Chaoborus and calanoid copepods (D. E. Shoup, unpublished data).…”
Section: Discussionmentioning
confidence: 99%
“…; Shoup et al. ; Stahr and Shoup , ) and may also lead to changes in diet if certain prey types require more energy to capture in certain environments (Mittelbach ), ultimately resulting in habitat‐specific differences in diet (Schramm and Zale ; Dibble and Harrel ). Thus, prey selection in a given type of habitat will likely be a function of the way habitat complexity alters predator and prey behavior.…”
mentioning
confidence: 99%
“…Optimal foraging theory predicts that organisms will forage in a way that maximizes their net energy gain (MacArthur and Pianka 1966). Habitat complexity affects foraging rates and growth in many species of fish (Bettoli et al 1992;Dibble and Harrel 1997;Miranda and Pugh 1997;Olson et al 1998;Reid et al 1999;Shoup et al 2012;Shoup 2015, 2016) and may also lead to changes in diet if certain prey types require more energy to capture in certain environments (Mittelbach 1981), ultimately resulting in habitat-specific differences in diet (Schramm and Zale 1985;Dibble and Harrel 1997). Thus, prey selection in a given type of habitat will likely be a function of the way habitat complexity alters predator and prey behavior.…”
mentioning
confidence: 99%