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FIGURE 6 in Fish community turnover in a dammed Andean River over time

FIGURE 6 | Total variance in beta diversity (BDTotal) in each year and first Species Contributions to Beta-Diversity (SCBD) by year. Local contribution to beta-diversity (LCBD) per aquatic environment and year (black circles represents significant values p <0.05).

FIGURE 3 in Fish community turnover in a dammed Andean River over time

FIGURE 3 | Observed fish-species richness vs. time. Observed fish-species richness native (left) and non-native (right) by sampling year in the area of influence of the Porce III reservoir. The generalized linear models and their confidence interval have been added. Each point represents an environment.

FIGURE 1 in Fish community turnover in a dammed Andean River over time

FIGURE 1 | Sampling sites in Porce III reservoir. The digital elevation model (SRTM, 1 arc-second) was obtained from USGS Earth Explorer (https://earthexplorer.usgs.gov) and shape file of dams was obtained from IGAC (https://geoportal.igac.gov.co/). All other products were produced by the authors and are copyright-free.

FIGURE 2 in Fish community turnover in a dammed Andean River over time

FIGURE 2 | Changes in relative abundance over time in each aquatic environment (RPM) Porce River isolated between the dams, (RG) Guadalupe River, (RSV) Reservoir, (CFR) Creeks flowing to the reservoir, (CFD) Creeks flowing to the Porce River below the dam, and (RPD) Porce River below the Porce III dam. White vertical line represents the year of filling and separates the years of pre-construction and postfilling of the reservoir.

FIGURE 5 in Fish community turnover in a dammed Andean River over time

FIGURE 5 | Fish-assemblage ordination in the aquatic environments of Porce III by non-metric multidimensional scaling (nMDS) using Jaccard similarity index. A. Before filling the reservoir from 2008 to 2011 and B. After filling the reservoir from 2017 to 2020. Environments are identified by symbols, and assemblage groups are identified by lines (70% of similarity). (RPM) Porce River isolated between the dams, (RG) Guadalupe River, (RSV) Reservoir, (CFR) Creeks flowing to the reservoir, (CFD) Creeks flowing to the Porce River below the dam, and (RPD) Porce River below the Porce III dam.

FIGURE 3 in Functional responses of stream fish communities to rural and urban land uses

FIGURE 3 | Flowchart of analysis. Biomass and dummy traits matrices were combined to produce functional diversity (FD) indices (FRic = functional richness, FEve = functional evenness, FDiv = functional divergence and FDis = functional dispersion) and community weight mean traits (CWM) matrices. The influences of land use/occupation (Soil matrix) over FD indices were evaluated through Pearson's correlations and over CWM through redundance analysis (RDA) and Pearson's correlations.

FIGURE 4 in Functional responses of stream fish communities to rural and urban land uses

FIGURE 4 | Ordination scores of community-weighted means (CWMs) of traits (gray bars) and proportions of land use/occupation (arrows: biplot scores for constraining variables along of the first principal axis of the redundancy analysis – RDA1) applied to 24 streams sampled in the state of Paraná, Brazil.

FIGURE 2 in Functional responses of stream fish communities to rural and urban land uses

FIGURE 2 | Ternary diagram of land use/occupation in the 24 streams sampled in the state of Paraná, Brazil.

FIGURE 1 in Functional responses of stream fish communities to rural and urban land uses

FIGURE 1 | Location of the sampling sites in the 24 streams in the state of Paraná, Brazil. Codes and names of streams in S1.

opencc-by-4.0Oct 2024View details →

The Effect of Water Colour on Fish Communities in Boreal lakes

The water colour of numerous lakes is increasing, with consequences for biotic communities. The effects of water colour on the abundance of fish in boreal lakes were examined by evaluating gillnet catches in 78 lakes with a water colour range from 18.9 to 380.0 mg Pt L−1. In all, 22 different fish species were captured. Perch (Perca fluviatilis) and roach (Rutilus rutilus) were the most abundant species. Water colour had no effect on fish species diversity. The captured fish biomass per unit effort (BPUE) varied between 192.5 and 5681.2 g net−1 and decreased significantly with increasing water colour. With the exception of pikeperch (Sander lucioperca), the effect of water colour was significant for all the dominant fish species (bleak Alburnus alburnus, bream Abramis brama, perch, pike Esox lucius, roach, ruffe Gymnocephalus cernuus). <a name="_Hlk172106619"></a>The main factor behind the effect of water colour was probably the decreasing availability of food, as indicated by the decreased abundance of roach that is not vulnerable to low light intensity. The negative effect of water colour on the planktonic feeder bleak suggested that reduced visibility and prey capture rate in high-colour lakes also had a role. Total phosphorus had a positive effect on BPUE but did not compensate for the effect of colour. BPUE:chlorophyll a ratio for the total catch and for bleak, perch, and roach decreased significantly with increasing water colour, reflecting decreasing transfer efficiency from basal trophic levels to consumers. BPUE and BPUE:chlorophyll a ratio for total gillnet catch or for selected species could be potential fish-based indicators of lake brownification.

opencc-by-4.0Jul 2021View details →

Data for "Species richness and food-web structure jointly drive community biomass and its temporal stability in fish communities"

Data for the paper "Species richness and food-web structure jointly drive community biomass and its temporal stability in fish communities" which is in minor revision in Ecology Letters (manuscript id:ELE-00589-2021.R1). A doi will be provided upon publication. Current citation: Danet, A., Mouchet, M., Bonnaffé, W., Thébault, E., & Fontaine, C. (In revision) Species richness and food-web structure jointly drive total biomass and its temporal stability in fish communities Minor revision in Ecology Letters. The repository constains data describing fish community monitoring across stream sections in metropolitan France over the period 1995-2018 by the French Office of Water and Aquatic Ecosystems (ONEMA) using electrofishing. The repository contains: <ul> <li> description of fishing: fishing_protocol.csv <ul> <li>surface: sampled surface</li> <li>opcod: fishing operation code, a unique identifier for each sampling event</li> <li>station: unique identifier for each site</li> <li>nb_sp, nb_ind: number of species, number of individuals</li> </ul> </li> <li>geographical information: station_basin.csv <ul> <li>X, Y: spatial coordinates of the station, expressed in metres in Lambert93 (epsg:2154)</li> <li>basin: name of the hydrographic basin</li> </ul> </li> <li>environment: environment.csv ( _mean: mean, _med: median, _cv: coefficient of variation) <ul> <li>alt: altitude</li> <li>d_source: distance to source</li> <li>strahler: strahler order</li> <li>BOD: Biological Oxygen Demand</li> <li>temperature: water temperature</li> <li>flow: water flow</li> </ul> </li> <li>community data: community_data.csv <ul> <li>species: three digits code corresponding to a given species (see Table S1, Danet et al. in revision)</li> <li>nind: number of individuals</li> <li>biomass: biomass in gram</li> </ul> </li> <li>Length of each fish individual: fish_length.csv <ul> <li>length: length of the fish in millimeter</li> </ul> </li> <li>Inferred food-web: class_network.rda <ul> <li>data: <ul> <li>class_id: size class of a fish individual</li> </ul> </li> <li>network: these data.frame can be handled by igraph::graph_from_data_frame() <ul> <li>from, to: "to" eats "from"</li> </ul> </li> <li>composition: <ul> <li>sp_class: concatenation of species and class_id columns</li> <li>bm_std: biomass reported to the sampled surface</li> </ul> </li> </ul> </li> </ul>

opencc-by-4.0Feb 2010View details →

Fig. 3 in Diel Variations And Diversity Of Fish Communities Along The Unreclaimed Shallow Coastal Habitats Of Changi Point Beach, Singapore

Fig. 3. Size class distribution of M. chinensis captured by day and night seines at Changi Point Beach between Oct. to Dec.2006 (error bars ± S.E.).

opencc-by-4.0Feb 2010View details →

Fig. 2 in Diel Variations And Diversity Of Fish Communities Along The Unreclaimed Shallow Coastal Habitats Of Changi Point Beach, Singapore

Fig. 2. Size class distribution of P. quadrilineatus captured by day and night seines at Changi Point Beach between Oct. to Dec.2006 (error bars ± S.E.).

opencc-by-4.0Feb 2010View details →

Fig. 4 in Diel Variations And Diversity Of Fish Communities Along The Unreclaimed Shallow Coastal Habitats Of Changi Point Beach, Singapore

Fig. 4. Size class distribution of H. cyanospilus captured by day and night seines at Changi Point Beach between Oct. to Dec.2006 (error bars ± S.E.).

Fig. 1 in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event

Fig. 1. Stylised maps of Singapore and Raffles Marina (inset). Dotted lines indicate areas outside Raffles Marina where fish traps were deployed.

Fig. 3. Average a in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event

Fig. 3. Average a) Species richness, b) catch abundance, and c) species diversity (Shannon Wiener index) of fish communities within and outside Raffles Marina before and after a harmful algal bloom event in February 2014 (all means ± SE). DJF-13: December 2013– February 2014; MAM-14: March 2014–May 2014; JJA-14: June 2014–August 2014; SON-14: September 2014–November 2014; DJF-14: December 2014–February 2015. Seasons that are not significantly different are denoted by the same letter (lower case – within marina; upper case – outside marina).

Fig. 2 in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event

Fig. 2. Principal coordinates analysis of fish communities within and outside Raffles Marina before the harmful algal bloom event in February 2014. The two principal coordinates explained 55.1% of total variation. Factors shown within the circle correlate with PCO1 or PCO2 with a factor of at least 0.5.

Fig. 5 in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event

Fig. 5. Principal coordinates analysis of fish communities outside Raffles Marina before and after a harmful algal bloom event in February 2014. The two principal coordinates explained 43.2% of total variation. Factors shown within the circle correlate with PCO1 or PCO2 with a factor of at least 0.5. (DJF-13: December 2013–February 2014; MAM-14: March 2014–May 2014; JJA-14: June 2014–August 2014; SON-14: September 2014– ovember 2014; DJF-14: December 2014–February 2015).

Fig. 4 in Influence of a tropical marina on nearshore fish communities during a harmful algal bloom event

Fig. 4. Principal coordinates analysis of fish community within Raffles Marina before and after a HAB event in February 2014. The two principal coordinates explained 38.1% of total variation. Factors shown within the circle correlate with PCO1 or PCO2 with a factor of at least 0.5. (DJF-13: December 2013–February 2014; MAM-14: March 2014–May 2014; JJA-14: June 2014–August 2014; SON-14: September 2014–November 2014; DJF-14: December 2014–February 2015).