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62 results for “Migratory species”
High water temperature significantly influences swimming performance of New Zealand migratory species
<p>Our study examined how temperature variations affect critical swimming speeds of four migratory species. Higher temperatures (26°C) significantly reduced swimming speeds for three species, emphasising the need for fish passage solutions that consider temperature fluctuations. This is crucial for habitat restoration and freshwater fish preservation, especially in a changing climate. </p>
Figure 2 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 2. – Boxplot showing the abundance of migratory (galbre; Galaxias brevipinnis) and non-migratory (galpau; G. paucispondylus and galvul; G. vulgaris) species at sites upstream of lakes (n = 18) and sites without lakes (n = 8). Boxplots show medians (horizontal line), 25th and 75th percentiles (upper and lower box limits), maximum and minimum values (bars), and mean (red dots). Outliers are presented by black circles.
Figure 1 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 1. – Map of survey sites, including sites upstream of Lakes Ohau, Pukaki and Tekapo (white boxes), and non-lake stream sites (grey shaded boxes). The number of fish caught at the different sites is shown within the boxes, with Galaxias brevipinnis at the top and non-migratory Galaxias spp. at the bottom of the boxes.
Figure 5 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 5. – Principal component analysis (PCA) biplot of the microhabitat environmental factors. Each dot repre- sents one sampling point. The symbols indicate sites upstream of lakes (circles) and sites without lakes (triangles), with the 95% confidence ellipses enclosing sample units from each group. Ellipses that do not overlap represent groups that differ significantly. Dim1, the first PCA axis; Dim2, the second PCA axis.
Figure 4 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 4. – Representation of size-class structure of Galaxias brevipinnis in lake tributary sites with different distance categories from their recruitment sources (lakes). Sample sizes (n) and distances (in km) are shown inside the panels.
Figure 3 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 3. – The relationship between square-root transformed galbre Galaxias brevipinnis and non-migratory species (galpau; G. paucispondylus) abundance with distance from the lakes.
Fig. 1 in Induced reproduction in a migratory teleost species by water level drawdown
Fig. 1. Photomicrographs of gonads of Astyanax altiparanae over the sampling times (stained with hematoxylin-eosin). (A) Ovary in spawning capable phase from -4h to 4h; (B) Ovary in the same phase but with post-ovulatory complexes presents in 8h and 12h; (C) Ovary in the advanced actively spawning subphase of the spawning capable phase at 16h; (D) Ovary during regressing phase from 20h to 28h; (E) Testis in spawning capable phase from -4h to 8h; (F) Testis in the advanced actively spawning subphase of the spawning capable phase at 12h; (G) Testis returning the primary spawning capable phase from 16h to 28h. In - initial oocytes; Pvt - pre-vitellogenic oocytes; Vt - vitellogenic oocytes; POC - post-ovulatory complexes; GVBD - mature oocytes (oocytes with germinal vesicle breakdown); Atr - atresias; Sc1 - primary spermatocyte; Sc2 - secondary spermatocyte; St - spermatids; Sz - spermatozoids.
Fig. 2 in Induced reproduction in a migratory teleost species by water level drawdown
Fig. 2. Quantitative analyses of the gonads. (A) Plot of female germ cells proportion though sampling times; (B) Variation in female gonadosomatic index (GSI) over the sampling times (H=16.388, p=0.037); (C) Plot of male germ cells proportion though sampling times; (D) Variation in male gonadosomatic index (GSI) over the sampling times (F=1.806, p=0.120).
Figure 4 in Impact of a large dam on reproduction of a non-migratory teleost species, Acestrorhynchus lacustris (Characiformes: Acestrorhynchidae)
Figure 4. Testis in different maturation stages and respective transversal sections stained by HE. (A) early maturation, (B) advanced maturation/mature, (C) partially spent; Z= spermatozoa; C2= secondary spermatocytes T= spermatids; ST= seminiferous tubules. Scale bars represent A= 100 µm, B= 200 µm and C= 500 µm.
Figure 3 in Impact of a large dam on reproduction of a non-migratory teleost species, Acestrorhynchus lacustris (Characiformes: Acestrorhynchidae)
Figure 3. Ovaries in different maturation stages and the respective transversal sections stained by HE.(A) resting, (B) initial maturation, (C) advanced maturation/mature, (D) partially spawned, (E) totally spawned ovaries, (F) post-ovulatory follicle, (G) yellow body. O1= early perinucleolar follicles; O2= late perinucleolar follicles; O3= pre-vitellogenic follicles; O4= vitellogenic follicles; POF= post-ovulatory follicle; YB= yellow body. Scales bars represent 100 µm.
Figure 2 in Impact of a large dam on reproduction of a non-migratory teleost species, Acestrorhynchus lacustris (Characiformes: Acestrorhynchidae)
Figure 2. Frequency (%) and size classes of vitelogenic follicles (µm) of A. lacustris from fully grown ovaries of A. lacustris. Different bar colours indicate statistically significant differences between the diameter classes (p<0.05).
Figure 1 in Impact of a large dam on reproduction of a non-migratory teleost species, Acestrorhynchus lacustris (Characiformes: Acestrorhynchidae)
Figure 1. Sampling sections of the São Francisco River, downstream from Três Marias Dam. Section 1: immediately downstream the Dam; Section 2: immediately after the confluence with Abaeté River. UTM coordinates.
Data for: Does migration distance influence intra-individual variation in migratory behaviour in a seabird species with diverse migration strategies?
<p>GPS tracking data from adult lesser black-backed gulls (<em>L. fuscus) </em>with 2 – 7 years of tracking data per individual from several colonies in the Netherlands, Belgium and the UK. This data has gone through initial cleaning to remove faulty GPS locations was combined with meta data from colonies to create a single .RDS file. </p> <p>Result for the manuscript "High repeatability in migratory behaviours in a generalist seabird regardless of migration strategy" can be obtained from this data using the R scripts at https://github.com/jbrow247/LBBG_MigrationPlasticity_Pub. </p>
Data: Assessing year-round habitat use by migratory sea ducks in a multi-species context reveals seasonal variation in habitat selection and partitioning
<p>This data file consists of state-space model-derived locations and individual data used to analyze transmitter effects for sea ducks in Eastern North America and is associated with the manuscript "Assessing year-round habitat use by migratory sea ducks in a multi-species context reveals seasonal variation in habitat selection and partitioning" published in Ecography. Columns are organized as follows:</p> <p>id - unique identifier</p> <p>species - species from which the centroid was obtained (BLSC = black scoter, COEI = common eider, LTDU = long-tailed duck, SUSC = surf scoter, WWSC = white-winged scoter)</p> <p>date - date of location (mm/dd/yy)</p> <p>jday - Julian date of location</p> <p>year - calendar year of location</p> <p>lon - longitude of location</p> <p>lat - latitude of location</p> <p>b - average assignment of location to either migrant (1) or resident (2) across all runs of the state-space model</p> <p>b.5 - most probable behavioral category based on average state assignment (1 = b ≤ 1.5 ; 2 = b > 1.5)</p> <p>sex - sex of individual (M = male, F = female)</p> <p>age - age of individual (HY = hatch year, SY = second year, TY = third year, ASY = after second year, ATY = after third year, AHY = after hatch year</p> <p>capture_reg - general area where individual was captured</p> <p>capture_subreg - specific region within capture region where individual was captured</p> <p>stage - period of the annual cycle to which the centroid belongs (W = winter, B = breeding, S = spring staging, M = fall staging and molt, WM = winter migration, BM = breeding migration, MM = molt migration, SM = spring migration)</p> <p>site - position of centroid within season (i.e., W1 = first site occupied during winter, W2 = second site occupied, etc.)</p> <p>cycle - number of annual cycles following transmitter attachment (1 = first cycle after attachment, 2 = second cycle after attachment, etc.)</p> <p>season - season of annual cycle in which centroid occurred (W = winter, F = fall, B = breeding, S = spring)</p>
Quantifying thermal exposure for migratory riverine species: phenology of Chinook salmon populations predicts thermal stress
<p>Migratory species are particularly vulnerable to climate change because habitat throughout their entire migration cycle must be suitable for the species to persist. For migratory species in rivers, predicting climate change impacts is especially difficult because there is a lack of spatially-continuous and seasonally-varying stream temperature data, habitat conditions can vary for an individual throughout its life cycle, and vulnerability can vary by life stage and season. To predict thermal impacts on migratory riverine populations, we first expanded a spatial stream network model to predict mean monthly temperature for 465,775 river km in the western U.S., and then applied simple yet plausible future stream-temperature change scenarios. We then joined stream temperature predictions to 44,396 spatial observations and life stage-specific phenology (timing) for 26 ecotypes (i.e. geographically distinct population groups expressing one of four distinct seasonal migration patterns) of Chinook salmon (<i>Oncorhynchus tshawytscha</i>), a phenotypically diverse anadromous salmonid that is ecologically and economically important but declining throughout its range. Thermal stress, assessed for each life stage and ecotype based on federal criteria, was influenced by migration timing rather than latitude, elevation, or migration distance, such that sympatric ecotypes often showed differential thermal exposure. Early-migration phenotypes were especially vulnerable due to prolonged residency in inland streams during the summer. We evaluated the thermal suitability of 31,699 stream km which are currently blocked by dams to explore reintroduction above dams as an option to mitigate the negative effects of our warmer stream temperature scenarios. Our results showed that negative impacts of stream temperature warming can be offset for almost all ecotypes if formerly occupied habitat above dams is made available. Our approach of combining spatial distribution and phenology data with spatially- and temporally-explicit temperature predictions enables researchers to examine thermal exposure of migrating populations that use seasonally-varying habitats.</p>
Data from: Associations with landscape and local-scale wetland habitat conditions vary among migratory shorebird species during stopovers
<p>Wetlands provide many ecosystem services and functions, including critical stopover habitat for numberous migratory shorbirds species. We conducted shorebird surveys at >14,000 wetlands and associated observed abundance with wetland variables for 16 species. We found that the scale at which observed abundance was associated with wetland extent varied among speceis, and that for most species abundance was positively associated with higher wetland density, presence of shallow water, more usable area, and limited vegetation. There was considerable variation in the strength and sometimes direction of responses. Our study helps inform optimal habitat requirementes for shorebirds.</p>
Structural and socioeconomic features of cities predict migratory bird species richness
<p>Cities are aggregates of human activities where our decisions shape the environment creating heterogeneity across urban centers that can have significant ecological effects on wildlife. Many bird species are found in cities during the breeding season, which implies they find sufficient resources in cities to support them during this energetically costly time. As populations of many migratory bird species are declining, knowledge of how they are affected by urbanization is needed. Yet, we know little about how the species richness of migratory birds varies across different types of cities. Here we ask if cities' structural and socioeconomic features can predict the species richness of migratory birds that generally select different breeding habitats during the breeding season. We used eBird data from census-designated urban areas in the United States to model the relationship between features of cities (housing density, median income, city age, and commuting time), environmental disturbance (measured by the human footprint index) and species richness by fitting generalized linear models to data. We show that commuting time was the most important factor determining species richness across cities and the rest of the city features were weakly associated with species richness. Overall species were responding to city variation in similar ways. While we expected that cities with more disturbance would have lower species richness, our results indicate that some species are able to tolerate even highly disturbed cities and that cities in certain regions may act as a refuge to birds. This knowledge is important for our general understanding of cities as habitat for birds and how migratory birds respond to across-city variation during the breeding season.</p>
Depleted lean body mass after crossing an ecological barrier differentially affects stopover duration and refueling rate among species of long-distance migratory birds
<p>During the long-distance migratory flights of birds, lean mass breakdown occurs in concert with fat catabolism and is expected to have repercussions on total stopover duration because birds require time to rebuild lean tissue before accumulating fat reserves. Despite this, little is known about the role of in-flight lean mass breakdown on stopover duration because direct measurements are restricted by the destructive nature of traditional body composition analysis and the technological limitations of tracking small birds over large expanses. We used non-lethal, non-invasive Quantitative Magnetic Resonance technology and plasma metabolite profiling to measure the body composition and physiological state of free-living birds captured at a migratory stopover site after flight across the Gulf of Mexico, and an automated radiotelemetry array covering ~5000 km<sup>2</sup> to track stopover duration and regional movements. We tested whether stopover duration is prolonged in individuals arriving with lower lean mass and investigated how lean mass affects regional movements. Stopover duration decreased by 22% for each additional gram of lean mass in Northern Waterthrush (Parkesia noveboracensis), but this relationship was not apparent in Swainson's Thrush (Catharus ustulatus), Gray-cheeked Thrush (Catharus minimus), or Yellow-billed Cuckoo (Coccyzus americanus), even though these species also arrived with depleted lean mass. Stopover duration increased for Swainson's Thrush with higher plasma uric acid, a marker of protein catabolism. Northern Waterthrush with higher plasma triglycerides had longer stopovers. Our findings suggest that migratory birds may compensate for substantial lean mass losses by increasing refueling rate or relocating habitat, and highlights species-level differences in lean mass breakdown and the associated impacts on physiological function. Our results highlight the strategies used by different species to recover from a trans-Gulf of Mexico flight and resume migration, which improves our understanding of the annual cycle of migratory birds.</p>
Data from: Associations with landscape and local-scale wetland habitat conditions vary among migratory shorebird species during stopovers
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Depleted lean body mass after crossing an ecological barrier differentially affects stopover duration and refueling rate among species of long-distance migratory birds
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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)
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DANDI Archive for NWB datasets
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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.