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Figure 9 in New records and geographic range extension of Epilobocera capolongoi Pretzmann, 2000 (Decapoda: Brachyura: Epiloboceridae) in Cuba, with notes on its natural history and conservation
Figure 9. Detail of frontal region of Epilobocera capolongoi (upper left: CZACC 5.0047; lower left: CZACC 5.0045) and E. cubensis (upper right: CZACC 5.0050; lower right: CZACC 5.0051), showing variation in the shape of the epistome and the branchial efferent channel openings.
Figure 8 in New records and geographic range extension of Epilobocera capolongoi Pretzmann, 2000 (Decapoda: Brachyura: Epiloboceridae) in Cuba, with notes on its natural history and conservation
Figure 8. Chelipeds of an adult male Epilobocera capolongoi (CZACC 5.0047) (A–D) and of an adult male E. cubensis (CZACC 5.0050) (E–H) from Lomas de Banao Ecological Reserve. A, E, Right chela in outer (above) and inner (below) views; B, F, left chela in outer (above) and inner (below) views; C, G, right carpus in dorsal view; D, H, right merus in dorsal (above), inner (middle), and inner-lower (below) views. All the images were taken soon after death (keeping the coloration in life), except G and H below (after preservation). Scale bars = 10 mm.
Figure 7 in New records and geographic range extension of Epilobocera capolongoi Pretzmann, 2000 (Decapoda: Brachyura: Epiloboceridae) in Cuba, with notes on its natural history and conservation
Figure 7. Variation of five morphometric ratios between Epilobocera capolongoi and E. cubensis: CA, carapace width/length; RC, right chela length/width; LC, left chela length/width; RM, right merus length/width; LM, left merus length/width (see App. 2).
Figure 3 in New records and geographic range extension of Epilobocera capolongoi Pretzmann, 2000 (Decapoda: Brachyura: Epiloboceridae) in Cuba, with notes on its natural history and conservation
Figure 3. Habitat (above) and landscape (below) in Pico San Juan Ecological Reserve, Cienfuegos province, where a female Epilobocera capolongoi carrying offspring was observed in mountain rainforest at 1,000 m elevation.
Figure 6 in New records and geographic range extension of Epilobocera capolongoi Pretzmann, 2000 (Decapoda: Brachyura: Epiloboceridae) in Cuba, with notes on its natural history and conservation
Figure 6. Right first gonopod of an adult male of Epilobocera capolongoi (CZACC 5.0047) (A–G) and E. cubensis (CZACC 5.0050) (H–N) from Lomas de Banao Ecological Reserve. A, H, whole structure, cephalic view; B, I, whole structure, caudo-mesial view; C, J, distal portion, cephalic view; D, K, distal portion, caudal view; E, L, distal portion, apical view; F, M, distal portion, mesial view; G, N, distal portion, lateral view. Abbreviations: Mesial lobe (ml), intermediate plate (ip), spines of mesial process (s), terminal process (tp), caudal process (cp), lateral process (lp), cephalic margin (cm), mesial angle of cephalic margin (ma). Scale bars = 1 mm.
Figure 4 in New records and geographic range extension of Epilobocera capolongoi Pretzmann, 2000 (Decapoda: Brachyura: Epiloboceridae) in Cuba, with notes on its natural history and conservation
Figure 4. Adult male Epilobocera capolongoi (CZACC 5.0047) (A–G) and adult male E. cubensis (CZACC 5.0050) (H–N) from Lomas de Banao Ecological Reserve. A, H, Habitus, dorsal view; B, I, habitus, ventral view; C, J, carapace, dorsal view; D, K, carapace, frontal view; E, L, third maxilliped; F, M, sternal surface; G, N, pleon. All the images were taken soon after death (keeping the coloration in life), except E and L (after preservation). The white outline in A and B represent the missing second and third left walking legs. Scale bars = 10 mm.
Figure 5 in New records and geographic range extension of Epilobocera capolongoi Pretzmann, 2000 (Decapoda: Brachyura: Epiloboceridae) in Cuba, with notes on its natural history and conservation
Figure 5. Adult female Epilobocera capolongoi (CZACC 5.0045) (A–D) and subadult female E. cubensis (CZACC 5.0059) (E–H) from Lomas de Banao Ecological Reserve. A, E, Habitus, dorsal view; B, F, habitus, ventral view; C, D, G, H, sternal surface, with detail of the vulvae (D, H). All the images were taken soon after death (keeping the coloration in life), except H (after preservation). Scale bars = 10 mm.
Figure 1 in New records and geographic range extension of Epilobocera capolongoi Pretzmann, 2000 (Decapoda: Brachyura: Epiloboceridae) in Cuba, with notes on its natural history and conservation
Figure 1. Distribution of Epilobocera capolongoi (circles) and E. cubensis (triangles) in central Cuba, depicting the previous records (orange circles) and new records (red circles) of E. capolongoi: 1) Tributary source of Higuanojo river, 2) La Sabina ranger station, 3) tributary source of Banao river, and 4) Banao river, near María Antonia ranger station; the westernmost new record (above) corresponds with Pico San Juan Ecological Reserve. Green shadings and contours depict protected areas. The two-headed orange arrow depicts the narrow strip of heights connecting the Trinidad Heights in the west and the Sancti Spíritus Heights in the east, assumed here as a putative communication pathway between the two presumably allopatric subpopulations of E. capolongoi.
Figure 2 in New records and geographic range extension of Epilobocera capolongoi Pretzmann, 2000 (Decapoda: Brachyura: Epiloboceridae) in Cuba, with notes on its natural history and conservation
Figure 2. Localities where Epilobocera capolongoi was collected in Lomas de Banao Ecological Reserve. Upper left, tributary source of Banao river; upper right, tributary source of Higuanojo river. Lower left, Banao river, near María Antonia ranger station. Lower right, view from La Sabina ranger station, after a heavy rain.
Accounting for nonlinear responses to traits improves range shift predictions
<p>Accurately predicting species' range shifts in response to environmental change is paramount for understanding ecological processes and global change. In synthetic analyses, traits emerge as significant but weak predictors of species' range shifts across recent climate change. These studies assume linear responses to traits, while detailed empirical work often reveals trait responses that are unimodal and contain thresholds or other nonlinearities. We hypothesize that the use of linear modeling approaches fails to capture these nonlinearities and therefore may be under-powering traits to predict range shifts. We evaluate the predictive performance of approaches that can capture nonlinear relationships (ridge-regularized linear regression, support vector regression with linear and nonlinear kernels, and random forests). We apply our models using six multi-decadal range shift datasets for plants, moths, marine fish, birds, and small mammals. We show that nonlinear approaches can perform better than least-squares linear modeling in reproducing historical range shifts. Consistent with expectations, we identify dispersal and climatic niche traits as primary determinants of distribution shifts. Traits identified as important predictors and the direction of trait effects are generally consistent across models but there are notable exceptions. Among important predictors, there are more consistent responses to climatic niches than dispersal ability. Modest improvements in predictability when accounting for nonlinearities and interactions and the overall low amount of variance accounted for by trait predictors suggest limits to trait-based statistical predictive frameworks.</p>
F I G U R E 1 in Targeted census of lionfishes (Scorpaenidae) reveals high densities in their native range
F I G U R E 1 Lionfishes observed during targeted surveys at three sites at Moorea, French Polynesia. A total of 90 transects (total area surveyed = 3600 m2) were conducted across three depths ["Reef Crest" (c. 1–3 m depth); "Mid" (3 m below the reef crest, c. 4–6 m depth); and "Deep" (6 m below the reef crest, c. 7–9 m depth)] at the three locations (a). Three species of lionfish were observed: clearfin lionfish Pterois radiata (b, e); spotfin lionfish Pterois antennata (c, f); and twinspot lionfish Dendrochirus biocellatus (d, g). Density is averaged (mean ± se) across the three locations. Site 1, Site 2, Site 3
F I G U R E 3 A in A low-density single nucleotide polymorphism panel for brown trout (Salmo trutta L.) suitable for exploring genetic diversity at a range of spatial scales
F I G U R E 3 A priori discriminant analysis of principal components (DAPC) plot of Camel trout. Each point represents the genotype of an individual fish, with centroids for each site labelled. Discriminant function 1 (DF1) is represented by the x axis, and discriminant function 2 (DF2) by the y-axis
F I G U R E 1 in A low-density single nucleotide polymorphism panel for brown trout (Salmo trutta L.) suitable for exploring genetic diversity at a range of spatial scales
F I G U R E 1 Map showing the location of rivers sampled for brown trout within the UK, France and Ireland. The left panel shows the rivers used to assess the performance of the single nucleotide polymorphisms (SNP) panel at characterising genetic parameters within and outside the target region. The top right (blue) panel shows the locations of the four sampled rivers in Mount's Bay, Cornwall (Case Study 1). The bottom right (red) panel shows the location of the sample locations in the Camel catchment (Case Study 2). The red box within the bottom right panel gives the position of the impassable De Lank quarry site
Fig. 3 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species
Fig. 3. Lateral (A) and dorsal (B) views of head of Parascorpaena poseidon (NSMT-P 17865, 97.8 mm SL). Bars indicate 5 mm.
Fig. 4 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species
Fig. 4. Relationships between body width (A); head width (B); snout length (C); interorbital width at vertical midline of eye (D); upper-jaw length (E); maxilla depth (F); postorbital length (G); orbit diameter (H); and separation between opercular spine tips (I) (all as % of SL) and standard length (mm) in Parascorpaena poseidon, showing ontogenetic changes. Star indicates holotype [except for snout length, interorbital width at vertical midline of eye, and upper-jaw length—see text regarding measurements by Chou and Liao (2022)].
Fig. 2 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species
Fig. 2. Variously-sized preserved specimens of Parascorpaena poseidon. A, FMNH 75818, 1 of 27 specimens, 35.3 mm SL, Galle, Sri Lanka; B, FMNH 75818, 1 of 27 specimens, 65.3 mm SL, Galle, Sri Lanka; C, NSMT-P 17865, 97.8 mm SL, Yaku-shima Island, Osumi Islands, Kagoshima, Japan; D, BPBM 27680, 1 of 2 specimens, 115.4 mm SL, Kovalam, Kerala India.
Fig. 1 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species
Fig. 1. Fresh specimen of Parascorpaena poseidon from Kovalam, Kerala, India (BPBM 27680, 1 of 2 specimens, 115.4 mm SL). Photo by J. E. Randall (BPBM).
F I G U R E 2 A in A low-density single nucleotide polymorphism panel for brown trout (Salmo trutta L.) suitable for exploring genetic diversity at a range of spatial scales
F I G U R E 2 A priori discriminant analysis of principal components (DAPC) of trout genotypes from rivers flowing into Mount's Bay, Cornwall. Individuals are represented by individual points, with centroids for each river labelled. Discriminant function 1 (DF1) is represented by the x axis, and discriminant function 2 (DF2) by the y-axis
Fig. 5 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species
Fig. 5. Distributional records of Parascorpaena poseidon, based on original description (triangles and star), literature record as P. mossambica (closed circle), and present study (open circles). Star indicates type locality.
Fig. 3 in Non-invasive detection of Orthohalarachne attenuata (Banks, 1910) and Orthohalarachne diminuata (Doetschman, 1944) (Acari: Halarachnidae) in free-ranging synanthropic South American sea lions Otaria flavescens (Shaw, 1800)
Fig. 3. Non-invasive diagnostic techniques for the detection of Orthohalarachne spp. (A) Sampling of sneezed mucus droplets and mucous nasal discharges from substrates of resting places. (B) Metal clothes hanger bent to form a square frame, covered with clingfilm and mounted on a telescopic rod and (C) sterile petri dishes mounted on a telescopic rod to directly collect sputum samples from the animals.
ScienceDex guides
Understand access before you commit
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.