Optimal gillnet sampling design for the estimation of fish community indicators in heterogeneous freshwater ecosystems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F17%3A00479477" target="_blank" >RIV/60077344:_____/17:00479477 - isvavai.cz</a>

Alternative codes found

RIV/60076658:12310/17:43895380

Result on the web

<a href="http://dx.doi.org/10.1016/j.ecolind.2017.02.036" target="_blank" >http://dx.doi.org/10.1016/j.ecolind.2017.02.036</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecolind.2017.02.036" target="_blank" >10.1016/j.ecolind.2017.02.036</a>

Result language

angličtina

Original language name

Optimal gillnet sampling design for the estimation of fish community indicators in heterogeneous freshwater ecosystems

Original language description

Monitoring of biota in heterogeneous ecosystems requires sampling in different habitats and across environmental gradients. The resulting multivariate community data are typically aggregated into one or several indicator values for the entire ecosystem, but the relationship between the robustness of such indicators and sampling effort, including the identification of minimum acceptable sampling designs, is not fully understood. nWe address this issue for multi-mesh gillnet sampling of freshwater fish communities in deep-valley reservoirs, using data from 29 detailed annual surveys in eight reservoirs in the Czech Republic that account for the inherent longitudinal and depth gradients and the qualitatively different benthic and pelagic habitats. We evaluate the performance of eight sampling scenarios, created by variously reducing the full dataset. To this end, we use 31 fish-based, community-, size- and species-level indicators calculated separately for benthic and pelagic habitats, and fit the relationships between the indicator values based on the reduced and full sampling design using Bayesian generalized linear models. nThe ability of reduced data to estimate the true indicator value across the entire dataset, expressed as the adjusted R-2 value of the best model for the given indicator, increased with sampling effort. However, the relationships differed between indicators: R-2 values were higher for abundance-based than for biomass-based indicators. We identified three suitable reduced sampling designs: (1) sampling the entire longitudinal profile in the epilimnion, (2) same as before but limited to one sampling layer closest to the surface, and (3) sampling all depth strata at the farthest points of the longitudinal gradient (i.e., dam and tributary). These results demonstrate that, in order to obtain robust estimates of fish community indicators, current gillnet sampling protocols can be optimized to reduce effort and minimize unwanted fish mortality.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10617 - Marine biology, freshwater biology, limnology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Ecological Indicators

ISSN

1470-160X

e-ISSN

—

Volume of the periodical

77

Issue of the periodical within the volume

JUN

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

9

Pages from-to

368-376

UT code for WoS article

000406435800038

EID of the result in the Scopus database

2-s2.0-85014430867