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148 results for “coastal habitats”
Fig. 1 in Habitat use and site fidelity of Irrawaddy dolphins (Orcaella brevirostris) in the coastal waters of Bago-Pulupandan, Negros Occidental, Philippines
Fig. 1. Coastal waters of Bago City and the Municipality of Pulupandan in Guimaras Strait; Left inset: location of Western Visayas Region in the Philippines; Right inset: Guimaras Strait located between Negros Island and Guimaras Island.
Fig. 4. A in Habitat use and site fidelity of Irrawaddy dolphins (Orcaella brevirostris) in the coastal waters of Bago-Pulupandan, Negros Occidental, Philippines
Fig. 4. A, sightings of Irrawaddy dolphins (in yellow dots) relative to sectors; B, minimum convex polygon (MCP) of all sightings in Bago-Pulupandan coastal waters.
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.).
Fig. 3 in Habitat partitioning, habits and convergence among coastal nektonic fish species from the São Sebastião Channel, southeastern Brazil
Fig. 3. Dendrogram of ecomorphological relationships (similarity) for the 17 nektonic fish species studied. Cluster analysis is by the Euclidean distance measure and Group Average linkage method using the same scores (i.e., coordinates) calculated for PCA and plotted in Fig. 2 (cophenetic coefficient r = 0.86). Anc tri = Anchoa tricolor; Ath bra = Atherinella brasiliensis; Car lat = Caranx latus; Chl chr = Chloroscombrus chrysurus; Fis tab = Fistularia tabacaria; Har jag = Harengula jaguana; Hyp uni = Hyporhamphus unifasciatus; Lag lae = Lagocephalus laevigatus; Mug cur = Mugil curema; Oli sau = Oligoplites saurus; Pom sal = Pomatomus saltatrix; Sar jan = Sardinella janeiro; Sco bra = Scomberomorus brasiliensis; Sel vom = Selene vomer; Str tim = Strongylura timucu; Tra car = Trachinotus carolinus; Tri lep = Trichiurus lepturus. There is no scale among the fishes (see Table 2 for standard length range) (illustrations: Alexandre C. Ribeiro).
Fig. 2 in Habitat partitioning, habits and convergence among coastal nektonic fish species from the São Sebastião Channel, southeastern Brazil
Fig. 2. Distribution of the 17 nektonic fish species in ecomorphological space. Ordination is by the first two axes of PCA (cumulative % of variance = 73) (see Table 5). Anc tri = Anchoa tricolor; Ath bra = Atherinella brasiliensis; Car lat = Caranx latus; Chl chr = Chloroscombrus chrysurus; Fis tab = Fistularia tabacaria; Har jag = Harengula jaguana; Hyp uni = Hyporhamphus unifasciatus; Lag lae = Lagocephalus laevigatus; Mug cur = Mugil curema; Oli sau = Oligoplites saurus; Pom sal = Pomatomus saltatrix; Sar jan = Sardinella janeiro; Sco bra = Scomberomorus brasiliensis; Sel vom = Selene vomer; Str tim = Strongylura timucu; Tra car = Trachinotus carolinus; Tri lep = Trichiurus lepturus. There is no scale among the fishes (see Table 2 for standard length range) (illustrations: Alexandre C. Ribeiro).
Fig. 1 in Habitat partitioning, habits and convergence among coastal nektonic fish species from the São Sebastião Channel, southeastern Brazil
Fig. 1. Map indicating the location of the study area (São Sebastião Channel) and the marine station of the University of São Paulo (CEBIMar-USP) on the coast of São Paulo, southeastern Brazil.
Fig. 2 in Evidence of habitat fragmentation affecting fish movement between the Patos and Mirim coastal lagoons in southern Brazil
Fig. 2. Average, minimum and maximum salinity values along the Patos Lagoon estuary (A1, A2), São Gonçalo Channel (B1, B2) and Mirim Lagoon (C1, C2).
Fig. 1 in Evidence of habitat fragmentation affecting fish movement between the Patos and Mirim coastal lagoons in southern Brazil
Fig. 1. Patos-Mirim lagoon complex in southern Brazil (a) showing locations of the six beach seine stations (b) at the Patos Lagoon estuary (A1, A2), São Gonçalo Channel (B1, B2) and Mirim Lagoon (C1, C2). A dam is located between stations B1 and B2.
Data for: Dynamic coastal pelagic habitat drives rapid changes in growth and condition of juvenile sockeye salmon (Oncorhynchus nerka) during early marine migration
<p>Migrating marine taxa encounter diverse habitats that differ environmentally and in foraging conditions over a range of spatial scales. We examined body (RNA/DNA, length-weight residuals) and nutritional (fatty acid composition) condition of juvenile sockeye salmon (<em>Oncorhynchus</em> nerka) in British Columbia while migrating through oceanographically variable waters. Fish were sampled in the stratified northern Strait of Georgia (NSoG); the highly mixed Johnstone Strait (JS); and the transitional zone of Queen Charlotte Strait (QCS). In 2015, body and nutritional condition were high in the NSoG but rapidly declined to reach the lowest levels in JS where prey availability was low, before showing signs of compensatory growth in QCS. In 2016, juvenile salmon had a significantly lower condition in the NSoG than in 2015, although zooplankton biomass was similar, condition remained low in JS, and no compensatory growth was observed in QCS. We provide evidence that differences in juvenile salmon condition between the two years were due to changes in the food quality available to juvenile fish. We propose that existing hypotheses about fish survival need to be extended to incorporate food quality in addition to quantity to understand changes in fish condition and survival between years.</p>
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>
Seabird nutrient subsidies enrich mangrove ecosystems and are exported to nearby coastal habitats
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Environmental DNA reveals fine-scale habitat associations for sedentary and resident marine species across a coastal mosaic of soft and hard-bottom habitats
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Long-term coastal macrobenthic Community Trajectory Analysis reveals habitat-dependent stability patterns
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Data for: Dynamic coastal pelagic habitat drives rapid changes in growth and condition of juvenile sockeye salmon (Oncorhynchus nerka) during early marine migration
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Coastal SEES Collaborative Research: Non-Market Value Meta-Data on Willingness to Pay for Coastal Marsh Habitat Change
These data represent a meta-dataset of observations on per household economic value - represented by per household willingness-to-pay (WTP) - for improvements in coastal marsh habitat, drawn from stated-preference studies in the research literature. The metadata allow estimation of benefit transfer functions via meta-regression modeling. Within these econometric functions, the dependent variable is a comparable estimate of economic value (e.g., WTP) drawn from extant primary valuation studies. Independent variables represent observable factors hypothesized to explain variation in this value measure across observations. These functions can be used to produce out-of-sample predictions of WTP for coastal marsh habitat improvements at sites for which no primary valuation studies have been conducted. They can also be used to understand the factors associated with systematic variations in marsh habitat values across different sites and studies. These data are described in Vedogbeton, H. and R.J. Johnston. 2020. Commodity Consistent Meta-Analysis of Wetland Values: An Illustration for Coastal Marsh Habitat. Environmental and Resource Economics 75(4), 835-865, and allow replication of the results presented therein. The metadata are extracted from primary studies that estimate total (use and nonuse) per household WTP for changes in the quantity or quality of coastal marsh wildlife habitats or their services, in US and Canada. These studies were identified via a systematic review of the literature. The metadata combine information provided by these primary non-market valuation studies with publicly available external data extracted from sources such as the US Census, US National Historical GIS (https://www.nhgis.org/), and US Fish and Wildlife Service National Wetlands Inventory (https://www.fws.gov/wetlands/Data/Mapper.html). Studies included in the metadata are restricted to those that estimate total per household WTP for coastal wetland habitat changes using generally acce
Oceanographic habitat location data to support range shift analyses for the manuscript: "Climate-driven range shifts are rapid yet variable among recreationally important coastal-pelagic fishes"
<p>This data file contains the latitudinal location of suitable oceanographic habitat for a suite of coastal-pelagic fishes off eastern Australia at monthly time-steps between 1998 and 2018. Please refer to the manuscript "Climate-driven range shifts are rapid yet variable among recreationally important coastal-pelagic fishes" for a full description of the methodologies applied to derive these data.</p>
Natural and anthropogenic sources of habitat variation influence exploration behaviour, stress response, and brain morphology in a coastal fish
<p>1. Evolutionary ecology aims to better understand how ecologically important traits respond to environmental heterogeneity. Environments vary both naturally and as a result of human activities, and investigations that simultaneously consider how natural and human-induced environmental variation affect diverse trait types grow increasingly important as human activities drive species endangerment.</p> <p>2. Here, we examine how habitat fragmentation and structural habitat complexity, affect disparate trait types in Bahamas mosquitofish (<em>Gambusia hubbsi</em>) inhabiting tidal creeks. We tested a priori predictions for how these factors might influence exploratory behaviour, stress reactivity, and brain anatomy.</p> <p>3. We examined approximately 350 adult Bahamas mosquitofish from seven tidal creek populations across Andros Island, The Bahamas that varied in both human-caused fragmentation (three fragmented, four unfragmented) and natural habitat complexity (e.g. 5-fold variation in rock habitat).</p> <p>4. Populations that had experienced severe human-induced fragmentation, and thus restriction of tidal exchange from the ocean, exhibited greater exploration of a novel environment, stronger physiological stress responses to a mildly stressful event, and smaller telencephala (relative to body size). These changes matched adaptive predictions based mostly on 1) reduced chronic predation risk and 2) decreased demands for navigating tidally dynamic habitats. Populations from sites with greater structural habitat complexity showed a higher propensity for exploration and a relatively larger optic tectum and cerebellum. These patterns matched adaptive predictions related to increased demands for navigating complex environments.</p> <p>5. Our findings demonstrate environmental variation, including recent anthropogenic impacts (<50 years), can significantly affect complex, ecologically important traits. Yet trait-specific patterns may not be easily predicted, as we found strong support for only six of 12 predictions. Our results further highlight the utility of simultaneously quantifying multiple environmental factors—e.g. had we failed to account for habitat complexity, we would not have detected effects of fragmentation on exploratory behaviours. These responses, and their ecological consequences, may be complex: rapid and adaptive phenotypic responses to anthropogenic impacts can facilitate persistence in human-altered environments, but may come at a cost of population vulnerability if ecological restoration were to occur without consideration of the altered traits. </p>
Local reflects global: Life-stage dependent changes in the phenology of coastal habitat use by North Sea herring
<p>Climate warming is affecting the suitability and utilisation of coastal habitats by marine fishes around the world. Phenological changes are an important indicator of population responses to climate-induced changes but remain difficult to detect in marine fish populations. The design of large-scale monitoring surveys does not allow fine-grained temporal inference of population responses, while the responses of ecologically and economically important species groups such as small pelagic fish are particularly sensitive to temporal resolution. Here, we use the longest, highest-resolution time series of species composition and abundance of marine fishes in northern Europe to detect possible phenological shifts in the small pelagic North Sea herring. We detect a clear forward temporal shift in the phenology of nearshore habitat use by small juvenile North Sea herring. This forward shift can best be explained by changes in water temperatures in the North Sea. We find that reducing the temporal resolution of our data to reflect the resolution typical of larger surveys makes it difficult to detect phenological shifts and drastically reduces the effect sizes of environmental covariates such as seawater temperature. Our study therefore shows how local, long-term, high-resolution time series of fish catches are essential to understand the general phenological responses of marine fishes to climate warming and to define ecological indicators of system-level changes.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.