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129 results for “coastal communities”
Figure 2 in The bee fauna of an Atlantic coastal plain tidal marsh community in southern New England, USA
Figure 2. Beach bee bowl transect: New Haven County, Guilford, Connecticut, 41.2666°N, -72.6593°W: Beach and dunes, transect orientation NNW-SSW (image taken 8 July 2012).
Figure 6 in The bee fauna of an Atlantic coastal plain tidal marsh community in southern New England, USA
Figure 6. Total number of Lasioglossum ephialtum, L. marinum, L. oblongum, Augochlorella aurata, Ceratina dupla, and Osmia pumila captured by bowl and net in the marsh, beach dunes, and scrub across the season in 2011 and 2012.
Figure 4 in Impact of overwintering cormorants (Phalacrocorax carbo) on springtail (Hexapoda: Collembola) communities of the Azov and Black Sea coastal forests
Figure 4. Relative total abundance, genus richness, and abundance of the different functional groups of springtails (abundance in impact sites/abundance in controls ± SE) in forests with active overwintering cormorant colonies (Black Sea) and abandoned forests (Azov Sea). Totabu: Total abundance, Genrich: Genus richness, Epied: Epiedaphic, Hemied: Hemiedaphic, Eued: Euedaphic, EMC: Euedaphic microorganism consumers, HMC: Hemiedaphic microorganism consumers, EPMC: Epiedaphic plant and microorganism consumers, EAMC: Epiedaphic animal and microorganism consumers. *: Statistically significant differences between the control and impact sites according to the Tukey HSD test.
Figure 2 in Impact of overwintering cormorants (Phalacrocorax carbo) on springtail (Hexapoda: Collembola) communities of the Azov and Black Sea coastal forests
Figure 2. Abundance of different functional groups of springtails (ind. m–2 ± SE, n = 2) at the control and impact sites of forests abandoned by cormorants (Azov Sea). Epied: Epiedaphic, Hemied: Hemiedaphic, Eued: Euedaphic, EMC: Euedaphic microorganism consumers, HMC: Hemiedaphic microorganism consumers, EPMC: Epiedaphic plant and microorganism consumers, EAMC: Epiedaphic animal and microorganism consumers. *: Statistically significant differences between the control and impact sites according to the Tukey HSD test.
Figure 3 in Impact of overwintering cormorants (Phalacrocorax carbo) on springtail (Hexapoda: Collembola) communities of the Azov and Black Sea coastal forests
Figure 3. PCA of the relationship between springtail genera abundance (shown as gray lines and diamond-shaped symbols) and edaphic parameters (black lines and dots). AOC impact: Impact sites with active overwintering colonies (Black Sea), AOC control: Control sites close to active overwintering colonies (Black Sea), AF impact: Impact sites in abandoned forests (Azov Sea), AF control: Control sites in abandoned forests (Azov Sea). 1) Mesaphorura, 2) Pseudachorutes, 3) Xenylla, 4) Folsomia gr. quadrioculata, 5) Parisotoma, 6) Isotomiella, 7) Cryptopygus, 8) Isotoma, 9) Lepidocyrtus, 10) Pseudosinella, 11) Entomobrya.
Figure 1 in Impact of overwintering cormorants (Phalacrocorax carbo) on springtail (Hexapoda: Collembola) communities of the Azov and Black Sea coastal forests
Figure 1. Abundance of different functional groups of springtails (ind. m–2 ± SE, n = 2 at the control and impact sites of forests with active overwintering cormorant colonies (Black Sea). Epied: Epiedaphic, Hemied: Hemiedaphic, Eued: Euedaphic, EMC: Euedaphic microorganism consumers, HMC: Hemiedaphic microorganism consumers, EPMC: Epiedaphic plant and microorganism consumers, EAMC: Epiedaphic animal and microorganism consumers. *: Statistically significant differences between the control and impact sites according to the Tukey HSD test.
Figure 1 in Assessment of the zooplankton community structure of the coastal Uzungöl Lagoon (Kızılırmak Delta, Turkey) based on community indices and physicochemical parameters
Figure 1. Geographical location of study area, coordinates of sampling points. Station 1: 41°32'33.85"N - 36°04'56.80"E; Station 2: 41°33'36.66"N - 36°05'22.24"E; Station 3: 41°34'11.10"N - 36°05'40.67"E; Station 4: 41°34'44.82"N - 36°06'0.14"E; Station 5: 41°35'7.57"N - 36° 06'20.14"E.
Figure 6 in Assessment of the zooplankton community structure of the coastal Uzungöl Lagoon (Kızılırmak Delta, Turkey) based on community indices and physicochemical parameters
Figure 6. Zooplankton community indices (Shannon Diversity, Pielou evenness and Species richness) during the study period.
Figure 3 in Assessment of the zooplankton community structure of the coastal Uzungöl Lagoon (Kızılırmak Delta, Turkey) based on community indices and physicochemical parameters
Figure 3. Seasonal density (ind. m -3) changes of nauplii larvae and copepodit individuals in Uzungöl Lagoon.
Fig. 2 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 2. Intensity of infection (mean ± SE number of parasites per host, including infected hosts only) of the six most common helminth parasites of eels, Anguilla anguilla, in Comacchio Lagoons, during three sampling periods. Graphs on the right-hand side do not include the 2015–2017 period, as these species were not found during that period. See Table 1 for full species names.
Fig. 4 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 4. Pairwise relationships between numbers of parasites per host for the three most common digenean parasites of eels, Anguilla anguilla, in Comacchio Lagoons, across all three sampling periods combined. The line represents the relationship (with 95% confidence intervals) predicted by the generalized linear model; see text. Tick marks indicate partial residuals with either positive (top) or negative values (bottom). See Table 1 for full species names.
Fig. 3 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 3. Scatterplots of pairwise relationships between numbers of parasites per host for the three most common digenean parasites of eels, Anguilla anguilla, in Comacchio Lagoons, across all three sampling periods combined. See Table 1 for full species names.
Fig. 1 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 1. Abundance (mean number of parasites per host, including non-infected hosts) of the six most common helminth parasites of eels, Anguilla anguilla, in Comacchio Lagoons, during three sampling periods: 2005–2006 (N = 140 eels), 2010–2013 (N = 131), and 2015–2017 (N = 30). Note that some values for the time period 2015–2017 are based on very few fish; see Table 1 for actual numbers and for full species names.
Fig. 4 in Patterns In Community Structure Of Trawl Catches Along Coastal Area Of The South China Sea
Fig. 4. Cluster dendogram of abundance data for preference of 30 dominant fishes collected bimonthly (a) at different study sites and (b) in different months off Pattani and Narathiwat coasts between Nov.2005 and Jul.2007.
Fig. 3 in Patterns In Community Structure Of Trawl Catches Along Coastal Area Of The South China Sea
Fig. 3. Cluster dendogram of abundance data for each fish samples collected bimonthly (a) at four different zones and (b) in different months off Pattani and Narathiwat coasts between Nov.2005 and Jul.2000
Fig. 5 in Patterns In Community Structure Of Trawl Catches Along Coastal Area Of The South China Sea
Fig. 5. Cluster dendogram of benthic organisms' abundance data collected off Pattani and Narathiwat coasts between Nov.2005 and Jul.2007.
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.).
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.).
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.).
Long-term coastal macrobenthic Community Trajectory Analysis reveals habitat-dependent stability patterns
<p>Long-term monitoring programs are fundamental to detecting changes in ecosystem health and understanding ecological processes. In the current context of increasing anthropogenic threats on marine ecosystems, understanding the dynamics and response of communities becomes essential. We used data collected over 14 years in the REBENT benthic coastal invertebrates monitoring program, at a regional scale in the North-East Atlantic, covering a total of 26 sites and 979 taxa. Four distinct habitats were studied: two biogenic habitats associated with foundation species in the intertidal and subtidal zones and two bare sedimentary habitats in the same respective tidal zones. We used Community Trajectory Analysis, a statistical approach that allows for quantitative measures and comparisons of temporal trajectories of ecosystems. We compared observed community trajectories to trajectories simulated under a non-directional null model in order to better understand the dynamics of the communities, their potential drivers, and the role of the studied habitats in these dynamics. Despite strong differences in the community compositions between sites and habitats, the communities followed non-directional dynamics during the 14 years monitored, which suggested stability at the regional scale. However, the shape, size, and direction of the trajectories of benthic communities were more similar within than among habitats, also suggesting the influence of the nature of the habitat on community dynamics. Results showed a higher variability in community composition in the first years of the monitoring in the intertidal bare habitat and confirmed the role of biogenic habitats in maintaining temporal stability. They also highlighted the need to apprehend the role of transient and rare species and the scale of observation in temporal beta diversity analyses. Finally, our study confirmed the usefulness of Community Trajectory Analysis to link observed trajectory patterns to fundamental ecological processes.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.