Title: Selectivity of experimental gillnets: does orientation to shore make a difference Matthew E. Kinsey
1Selectivity of experimental gillnets
doesorientation to shore make a difference?
Matthew E. Kinsey and David G. Argent
California University of Pennsylvania Department
of Biological and Environmental Sciences 250
University Ave,, California, PA 15419
Abstract Recent studies indicate that
experimental gillnets, containing panels of
varying bar mesh can effectively sample
large-riverine fishes. However, the ability of
these nets to catch fish when orientation is
reversed (large mesh inshore, small mesh away
from shore - i.e., a non-traditional set) has not
been evaluated. Our objective was to determine
if net orientation to shore affected catch
efficiency as measured by abundance and richness.
We placed 38-m long gill nets in the Monongahela
River consisting of five panels ranging from 2.54
to 12.70-cm bar mesh. Nets were set in pairs in
the evening on either the left (n20) or right
(n20) river bank every 0.8 km in either a
traditional (small mesh tied to shore) or
non-traditional set. We noted the location of
each captured fish within a panel and its
position relative to shore, identified it to
species, measured it, and returned it to the
water. While we found that traditional sets
yielded a greater abundance, a greater species
richness, and more unique species than
non-traditional sets, these findings were not
statistically significant. However, our results
suggest that experimental gill nets set in a
non-traditional fashion may require additional
effort (soak time) to achieve results comparable
to nets set in a traditional fashion.
- We noted the location of each captured fish
within a panel and its position relative to
shore, identified it to species, measured it to
the nearest mm TL, and returned it to the water.
Statistical comparisons were made using a two-way
analysis of variance, testing direction and panel
effects. - Species richness asymptotes were plotted for each
net-set orientation to determine if increased
effort would be needed to achieve the species
compliment at large, given the different net
orientation.
Longnose gar
- Results
- We captured 103 fish over the course of our
study 61 with traditional sets and 42 with
non-traditional sets. No fish were caught in the
12.7-cm mesh for any net set and six nets
produced no fish at all. - The 5.08-cm bar mesh caught more fish and more
species of fish than all other panels, regardless
of set direction. Overall, set direction did not
have an effect on catch rates across all mesh
panels we evaluated (P0.05 Figs. 2 and 3). - Species asymptotes for each directional net set
varied, indicating that additional effort would
be needed to capture the species compliment at
large with non-traditional sets (Fig. 4). - The length of fish that recruit to a given mesh
size does not seem to be influenced by
orientation in the water column (Fig. 5). - The traditional set yielded several more unique
fishes than did non-traditional sets, but only
one unique fish family, Lepisosteidae (Fig. 6).
Introduction Gill nets are commonly used to
sample large-bodied fishes in lakes or slow
moving riverine systems. To catch a wide variety
of fish at large, gill nets can be manufactured
with panels of varying mesh size, length, and
depth (Fig. 1). These nets, known as
experimental gill nets, are often more efficient
at obtaining representative samples of
large-riverine fishes than those of a single mesh
size. However, given their construction it is
unclear if sets with smaller mesh to shore are
more efficient at capturing fish than sets with
smaller mesh set in the mid-channel.
- Discussion
- Species unique to the non-traditional set
included white bass, rock bass, and saugeye.
Although absent from traditional net sets, these
fishes have a similar biology, size, and behavior
to those fishes represented in the traditional
sets. Likewise, the traditional sets yielded
longnose gar, golden redhorse, river redhorse,
smallmouth buffalo, and hybrid striped bass
fishes that may have recruited to the
non-traditional net sets given their morphology. - Several (4- reversed 2- standard) nets caught no
fish. Had they been left to soak for longer they
may have yielded a catch. - This series of net sets caught several skipjack
herring, a smallmouth buffalo, a longnose gar and
a river redhorse all are listed species of
concern in Pennsylvania. Sampling large rivers
with gillnets may yield additional information
regarding the distribution and abundance of these
rare fishes.
Fig. 1 Diagram of a traditional net set, with
small mesh oriented to shore.
- Objective
- To determine if the orientation (proximity of
smaller mesh to shore) of experimental gill net
sets effects fish catch efficiency.
Skipjack herring
Fig. 2 Plot of the number of individuals
captured within each mesh panel evaluated.
Fig. 3 Plot of species richness accumulated
within each mesh panel evaluated.
- Materials and Methods
- Experimental gill nets were placed in the
Charleroi pool of the Monongahela River 46 times
from Brownsville to Allenport, between 11 October
and 1 November 2005. Nets, consisting of five
connected 7.62-m panels with bar meshes of 2.54,
5.08, 7.62, 10.15, and 12.7 cm, were set in pairs
(left bank/right bank) every 0.8 km and allowed
to fish for approximately four hours. - Twenty three nets were set with the 2.54-cm mesh
tied to shore (traditional set Fig. 1), while
the other 23 were set with the 12.7-cm mesh tied
to shore (non-traditional set).
- Conclusions
- Experimental nets set in a traditional direction
did not yield results that differed from a
non-traditional set, but may require slightly
more effort to achieve similar species
asymptotes. - Length recruitment to a particular mesh size did
not differ with respect to distance from shore. - Additional soak time and an increased sample size
may be required to better determine the effect of
net orientation.
Fig. 4 Accumulated species richness by net set
orientation across all mesh panels.
Fig. 5 Mean length (mm) of fish captured within
each mesh panel. Error bars denote standard
deviations.