Počet záznamů: 1
Optimal gillnet sampling design for the estimation of fish community indicators in heterogeneous freshwater ecosystems
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SYSNO ASEP 0479477 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Optimal gillnet sampling design for the estimation of fish community indicators in heterogeneous freshwater ecosystems Tvůrce(i) Blabolil, Petr (BC-A) RID, ORCID
Boukal, D.S. (CZ)
Ricard, Daniel (BC-A) RID
Kubečka, Jan (BC-A) RID, ORCID
Říha, Milan (BC-A) RID, ORCID
Vašek, Mojmír (BC-A) RID, ORCID
Prchalová, Marie (BC-A) RID, ORCID
Čech, Martin (BC-A) RID, ORCID
Frouzová, Jaroslava (BC-A) RID, ORCID
Jůza, Tomáš (BC-A) RID, ORCID
Muška, Milan (BC-A) RID, ORCID
Tušer, Michal (BC-A) RID, ORCID
Draštík, Vladislav (BC-A) RID, ORCID
Šmejkal, Marek (BC-A) RID, ORCID
Vejřík, Lukáš (BC-A) RID, ORCID
Peterka, Jiří (BC-A) RID, ORCIDCelkový počet autorů 16 Zdroj.dok. Ecological Indicators. - : Elsevier - ISSN 1470-160X
Roč. 77, JUN (2017), s. 368-376Poč.str. 9 s. Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova reservoir ; habitat ; lakes ; populations ; selectivity Vědní obor RIV EH - Ekologie - společenstva Obor OECD Marine biology, freshwater biology, limnology CEP EE2.3.20.0204 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GA15-01625S GA ČR - Grantová agentura ČR EE2.3.30.0032 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy LM2015075 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Institucionální podpora BC-A - RVO:60077344 UT WOS 000406435800038 EID SCOPUS 85014430867 DOI 10.1016/j.ecolind.2017.02.036 Anotace 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.
We 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.
The 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.Pracoviště Biologické centrum (od r. 2006) Kontakt Dana Hypšová, eje@eje.cz, Tel.: 387 775 214 Rok sběru 2018
Počet záznamů: 1