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Fig. 29 in Systematics of the enigmatic South American Streblopus Van Lansberge, 1874 dung beetles and their transatlantic origin: a case study on the role of dispersal events in the biogeographical history of the Scarabaeinae (Coleoptera: Scarabaeidae)
Fig. 29. Current distribution of Streblopus van Lansberge, 1874 and the Old World groups with which it is believed to be more closely related plotted on an Upper Cretaceous palaeomap (~ 80 million years ago). Based particularly on the hypothesis in Tarasov & Génier (2015) that Streblopus is part of a clade otherwise composed uniquely of dung beetle lineages either exclusively distributed in Africa (Circellium, Chalconotus and Gyronotus) or with a distribution largely centred on that continent (Scarabaeini), and on the dating of the origin of the Scarabaeini as 71 million years ago (Gunter et al. 2016), we propose that the lineage that would eventually lead to Streblopus branched off from those groups in Africa some time between 95 and 71 million years ago, and that one of its descendent lineages (the only one living today) dispersed from its original continent to South America during the late Upper Cretaceous or the early Cenozoic. Since Africa and South America have not been connected by land since the Lower Cretaceous, the only way the ancestor of Streblopus could have reached South America was through transoceanic dispersal across the early South Atlantic. That dispersal probably happened by rafting on floating pieces of plants or other debris, as probably occurred with a large number of other organisms. Palaeomap modified from Scotese (2016); distribution area based on Balthasar (1963), Scholtz & Howden (1987), Davis et al. (2008) and our own results.
Fig. 14. Profemora. A‒B. Streblopus opatroides van Lansberge, 1874. A in Systematics of the enigmatic South American Streblopus Van Lansberge, 1874 dung beetles and their transatlantic origin: a case study on the role of dispersal events in the biogeographical history of the Scarabaeinae (Coleoptera: Scarabaeidae)
Fig. 14. Profemora. A‒B. Streblopus opatroides van Lansberge, 1874. A. ♂. B. ♀. C‒D. S. punctatus (Balthasar, 1938). C. ♂. D. ♀. Note the differences between the species and sexes in relation to the overall shape of the profemora and the presence of spurs on the anterior edge in males.
Fig. 12. Pronotum. A. Streblopus opatroides van Lansberge, 1874. B. S in Systematics of the enigmatic South American Streblopus Van Lansberge, 1874 dung beetles and their transatlantic origin: a case study on the role of dispersal events in the biogeographical history of the Scarabaeinae (Coleoptera: Scarabaeidae)
Fig. 12. Pronotum. A. Streblopus opatroides van Lansberge, 1874. B. S. punctatus (Balthasar, 1938). Note the differences in the umbilicate punctation and colour between the species.
Fig. 1. Streblopus opatroides van Lansberge, 1874. A‒B. Ordinary specimens, dorsal view. A in Systematics of the enigmatic South American Streblopus Van Lansberge, 1874 dung beetles and their transatlantic origin: a case study on the role of dispersal events in the biogeographical history of the Scarabaeinae (Coleoptera: Scarabaeidae)
Fig. 1. Streblopus opatroides van Lansberge, 1874. A‒B. Ordinary specimens, dorsal view. A. ♂. B. ♀. C‒D. Lectotype, ♂. C. Dorsal view. D. Attached labels.
Fig. 3 in Systematics of the enigmatic South American Streblopus Van Lansberge, 1874 dung beetles and their transatlantic origin: a case study on the role of dispersal events in the biogeographical history of the Scarabaeinae (Coleoptera: Scarabaeidae)
Fig. 3. Streblopus punctatus (Balthasar, 1938). A‒B. Holotype, ♀. A. Dorsal view. B. Attached labels. C‒D. Ordinary specimens, dorsal view. C. ♂. D. ♀.
Path-finding algorithm as a dispersal assessment method for invasive species with human-vectored long-distance dispersal event
<p><strong>Aim</strong>: An assessment method that can precisely represent human-vectored long-distance dispersals (HVLDD) is currently in need for effective management of invasive species. Here, we focused on HVLDD happening along roads and proposed a path-finding algorithm as a more precise dispersal assessment tool than the most widely used Euclidean distance method by using pine wilt disease (PWD) as a case study.</p> <p><strong>Location</strong>: Busan Metropolitan City, Republic of Korea</p> <p><strong>Methods</strong>: A path-finding algorithm, which calculates distances by considering spatial distribution of road networks, was tested for its effectiveness in estimating dispersal distances of HVLDD events. To this end, annual HVLDD cases were classified from entire PWD occurrence data from 2016 to 2019 and their dispersal distances were calculated using the path-finding algorithm and the Euclidean distance method. We constructed potential dispersal ranges based on the occurrence points in 2016, 2017, and 2018 using the respective year's mean dispersal distance for both methods, and their performances in accounting for each subsequent year's HVLDD cases were compared to determine which method calculated more precise distances. The information on which road class contributed more to dispersal occurrences and distances was analysed as well using the proposed algorithm.</p> <p><strong>Results</strong>: The potential dispersal ranges of the path-finding algorithm accounted for more future anthropogenic infection cases than the ones that used the Euclidean distance method, validating its higher functionality. It also revealed that most HVLDDs started and ended on small roads, and large roads constituted the majority of the total dispersal length.</p> <p><strong>Main Conclusions</strong>: The path-finding algorithm has proven to be a more effective dispersal assessment method for HVLDD events. It can help design effective control strategies. Thus, we encourage using the path-finding algorithm for dispersal assessment of invasive species that move along road networks, as well as for the development of more powerful HVLDD prediction models.a</p>
Figure 2 in Long forgotten record of a freshwater leech on Madagascar indicates a host-associated dispersal event from continental Africa
Figure 2. General view and labels of F. Sikora's sample of Placobdelloides multistriatus (N = 2), Andrahomana, Southern Madagascar (ZIN Hirudinea 2227). (a) Specimen No 1 (red arrow shows a rupture at the ventral side). (b) Specimen No 2. (c) Original label with locality and host data (handwritten by F. Sikora in 1899). (d) Example of the word 'Andrahomana' from a handwritten letter of F. Sikora, Fort Dauphin, 17 December 1900 (Breure 2015, fig. 55c). (e) Original label with collection number (handwritten by F. Sikora in 1899 or later). (f) Two examples of a crossed out letter 'N' from a handwritten letter of F. Sikora, Fort Dauphin, 17 December 1900 (Breure 2015, fig. 55b). (g) Secondary label containing species name with a question mark (most likely handwritten by V. Plotnikov in 1904). (h) Secondary label (most likely handwritten by E. Lukin in 1960s-1970s). Scale bar = 1.0 mm (a-b). Photos: Tatyana A. Eliseeva and Iya G. Tsiplenkina.
Figure 3 in Long forgotten record of a freshwater leech on Madagascar indicates a host-associated dispersal event from continental Africa
Figure 3. External morphology of a Placobdelloides multistriatus specimen from F. Sikora's sample, Andrahomana, Southern Madagascar (ZIN Hirudinea 2227: specimen No 2). (a) Dorsal view. (b) Ventral view. (c) Anterior region (dorsal view). Abbreviations: MO, mouth; AS, anterior sucker; PS, posterior sucker; MS, traces of the median light (aureate) stripe; mg, male gonopore; and fg, female gonopore. Body somites are indicated by roman numerals; symbols a1, a2, and a3 indicate the number of annulus. Scale bars = 1.0 mm (a-b) and 0.5 mm (c). Photos: Tatyana A. Eliseeva; graphics: Ivan N. Bolotov.
Figure 1 in Long forgotten record of a freshwater leech on Madagascar indicates a host-associated dispersal event from continental Africa
Figure 1. Range map of Placobdelloides multistriatus. The light red filling indicates country-level records from continental Africa and Western Asia (Oosthuizen 1979; Al-Safadi and El-Shimy 1993; Leslie et al. 2011); the red star indicates F. Sikora's record from Madagascar discussed herein. Map: Mikhail Y. Gofarov.
Linked collectors and determiners for: Systematics of the enigmatic South American Streblopus Van Lansberge, 1874 dung beetles and their transatlantic origin: a case study on the role of dispersal events in the biogeographical history of the Scarabaeinae (Coleoptera: Scarabaeidae).
Natural history specimen data linked to collectors and determiners held within, "Systematics of the enigmatic South American Streblopus Van Lansberge, 1874 dung beetles and their transatlantic origin: a case study on the role of dispersal events in the biogeographical history of the Scarabaeinae (Coleoptera: Scarabaeidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1668be17-f285-47ef-98b6-c9d90b8cbd6e">https://bionomia.net/dataset/1668be17-f285-47ef-98b6-c9d90b8cbd6e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1668be17-f285-47ef-98b6-c9d90b8cbd6e">https://gbif.org/dataset/1668be17-f285-47ef-98b6-c9d90b8cbd6e</a>. Formatted as a Frictionless Data package.
Path-finding algorithm as a dispersal assessment method for invasive species with human-vectored long-distance dispersal event
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Molecular phylogenetic analyses reveal multiple long-distance dispersal events and extensive cryptic speciation in Nervilia (Orchidaceae), an isolated basal Epidendroid genus
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Rwenzori colobus core unit SNA data - association scans between units, simple association index per dyad, male dispersal events, rainfall and food availability
<p>1. Multi-level societies are complex, nested social systems where basic social groups (i.e., core units) associate in a hierarchical manner, allowing animals to adjust their group sizes in response to variables such as food availability, predation, or conspecific threat. These pressures fluctuate over time and examining the extent to which this variation affects the clustering of core units into different tiers may be instrumental in understanding the evolution of multi-level societies.</p> <p>2. The goal of our study was to determine the degree of temporal variability in inter-unit associations in a multi-level society of Rwenzori Angolan colobus monkey (<i>Colobus angolensis ruwenzorii</i>), and to determine the social and ecological factors that underlie association patterns. The <i>C. a. ruwenzorii</i> multi-level society consists of at least three tiers, with core units clustering into clans that share a home range in a band tier.</p> <p>3. We performed social network analyses on 21 months of association data from 13 core units (totaling 139 identifiable individuals) at Lake Nabugabo, Uganda. We described the patterns of variation in core-unit associations over time and investigated how changes in rainfall, food availability, and inter-unit dispersals were correlated with these associations over the short-term (month to month) and long-term (year to year).</p> <p>4. Although clans were relatively stable, larger-scale changes in association patterns included the formation of an all-male unit and the transfer of one core unit between clans (within the band tier). Seasonally, core units associated significantly more when fruit, their preferred food source, was abundant (i.e., social networks were denser and more clustered) and there was no direct effect of rainfall seasonality or young leaf availability. Male dispersals also occurred more during periods of high fruit availability, suggesting that greater band cohesion allowed males to prospect and transfer between core units. Once males transferred, their previous and new units associated significantly more with one another than with other core units for 1-2 months post-dispersal. The dispersal of five males from one core unit to another in a different clan co-occurred with this core unit switching its clan affiliation.</p> <p>5. By examining temporal shifts in social network structure among core units, this study shows the inter-connected roles that food availability and dispersal have in shaping the <i>C. a. ruwenzorii</i> multi-level social system. Our findings highlight how ecological conditions can drive association patterns, impact interunit relationships, and influence social organization.</p>
Statistical Analysis of Overlapping Double Ion Energy Dispersion Events in the Northern Cusp (Paper Data and Code)
<p>This data and code accompanies the paper <i>Statistical Analysis of Overlapping Double Ion Energy Dispersion Events in the Northern Cusp</i>, published in Frontiers in Astronomy and Space Sciences in 2023. This upload includes a CSV list of the selected events, a human-readable table of the selected events (see below), plots of each selected event, and the code used to select the events.</p><p>The code in this repository is a fork of <a href="https://github.com/ddasilva/dmsp-dispersion-detection">https://github.com/ddasilva/dmsp-dispersion-detection</a> at the time of publication. Future updates may exist on GitHub.</p><p><br> </p>
Supplementary figures and data for "Complete phylogeny of Micrathena spiders suggests multiple dispersal events among Neotropical rainforests, islands, and landmasses, and indicates Andean orogeny promotes speciation"
<p>Supplementary figures and data for "Complete phylogeny of <em>Micrathena</em> spiders suggests multiple dispersal events among Neotropical rainforests, islands, and landmasses, and indicates Andean orogeny promotes speciation" by Ivan L. F. Magalhaes, Pedro H. Martins, Bárbara T. Faleiro, Teofânia H. D. A. Vidigal, Fabrício R. Santos, Leonardo S. Carvalho, Adalberto J. Santos, submitted to <em>Cladistics</em>. </p> <p>Supplementary Figures S1 – S15</p> <p>Supplementary data S16: Complete specimen data of specimens used as vouchers for morphological scorings in Excel spreadsheet format.<br>Supplementary data S17: Discrete character matrix with morphological scorings in Nexus format.<br>Supplementary data S18: Complete specimen data of specimens used as vouchers for DNA sequencing in Excel spreadsheet format.<br>Supplementary data S19: Alignment of cytochrome oxidase I sequences in Fasta format.<br>Supplementary data S20: Alignment of histone H3 sequences in Fasta format.<br>Supplementary data S21: Alignment of 28S ribosomal sequences in Fasta format.<br>Supplementary data S22: Alignment of internal transcribed spacer sequences in Fasta format.<br>Supplementary data S23: Alignment of 16S ribosomal sequences in Fasta format.<br>Supplementary data S24: Zipped folder containing the inputs for estimating the phylogeny using morphological data in IQ-Tree: matrix in nexus format, partition file, and command file in plain text.<br>Supplementary data S25: Zipped folder containing the inputs for estimating the phylogeny using sequence data aligned with Muscle in IQ-Tree: matrix in nexus format, partition file, and command file in plain text.<br>Supplementary data S26: Zipped folder containing the inputs for estimating the phylogeny using sequence data aligned with MAFFT in IQ-Tree: matrix in nexus format, partition file, and command file in plain text.<br>Supplementary data S27: Zipped folder containing the inputs for estimating the phylogeny using morphological and sequence data aligned with MUSCLE in IQ-Tree: matrix in nexus format, partition file, and command file in plain text.<br>Supplementary data S28: Input Nexus for estimating the phylogeny using morphological data in MrBayes.<br>Supplementary data S29: Input Nexus for estimating the phylogeny using sequence data aligned with Muscle in MrBayes.<br>Supplementary data S30: Input Nexus for estimating the phylogeny using sequence data aligned with MAFFT in MrBayes.<br>Supplementary data S31: Input Nexus for estimating the phylogeny using morphological and sequence data aligned with Muscle in MrBayes.<br>Supplementary data S32: Input XML for estimating the dated phylogeny under Bayesian inference in BEAST.<br>Supplementary data S33: Distribution maps for all Micrathena species included in this study, the database with the original records and their source, and the R script used to generate the maps.<br>Supplementary data S34: Zipped folder containing all the inputs for estimating ancestral ranges and performing biogeographic stochastic mapping in R. This contains (0) the scripts for performing model selection and estimating ancestral states over a distribution of posterior trees, followed by stochastic mapping; (1) the geography and tree files (MMCT, and 100 trees randomly drawn from the posterior distribution); (2) the dispersal matrix and (3) the files for performing the time-stratified analysis to test the influence of the closure of the Isthmus of Panama on Micrathena dispersal.<br>Supplementary data S35: R script for generating the in-situ-speciation-through-time graphs from the results of biogeographic stochastic maps, as seen in Fig. 5.<br>Supplementary data S36: R script for getting and plotting elevations from individual records of Micrathena.<br>Supplementary data S37: R script for performing the GeoHiSSE estimation of net diversification rates among areas.<br>Supplementary data S38: Zipped folder containing the optimal trees found as a result of analysing inputs S24–S32 (IQ-Tree, MrBayes and BEAST).<br>Supplementary data S39: Zipped folder containing the ancestral range estimation results under competing models in BioGeoBEARS.<br>Supplementary data S40: Excel spreadsheet with parameter values of competing biogeographic models in BioGeoBEARS.<br>Supplementary data S41: Excel spreadsheet with results of biogeographic stochastic mapping over 100 different trees from the posterior distribution; includes all Micrathena species.<br>Supplementary data S42: Excel spreadsheet with results of biogeographic stochastic mapping over 100 different trees from the posterior distribution; includes only Micrathena species which had their DNA sequenced.<br>Supplementary data S43: Excel spreadsheet with the geography matrix, indicating which Micrathena species may be found in each area, and indicating the proportion of species from each area that are missing from the incomplete dataset (i.e., excluding species with unavailable DNA sequences).<br>Supplementary data S44: Excel spreadsheet with parameter values of competing biogeographic models estimated in GeoHiSSE.</p>
Fish dispersal from a sabotage-mediated massive escape event
<p>This repository is for the data and scripts used in the analysis of the article published in Aquaclture Enviroment Interaction entitled "Fish dispersal from a sabotage-mediated massive escape event" by Javier Atalah, Pablo Sánchez-Jerez, David Izquierdo, Damián Fernandez-Jover, Pablo Arechavala-Lopez, Carlos Valle, Aitor Forcada, and Kilian Toledo-Guedes.</p> <p>ABSTRACT: Farm sabotage can cause massive fish escape events with significant ecological and socio-economic risks. This study examined the fate of Mediterranean seabass Dicentrarchus labrax escapees following a large-scale escape event caused by sabotage in the Western Mediterranean Sea. We monitored the escapee density and size structure over 3 mo after the escape at increasing distances from the escape point, up to 45 km away. Fish density adjacent to the escape location 5 d after the sabotage was, on average, 114 ± 44.7 (SE) fish per 100 m2. Our analyses showed that fish density decreased by 17% for every km away from the location, dropping to 2 and 1% after 1 and 2 mo, respectively, following the escape event. As escapee density declined throughout time and space, the size distribution of seabass shifted towards larger sizes. The rapid decrease in fish densities highlights the need for contingency plans focusing on fishing efforts in the coastal areas near the escape location (<20 km) within the first 24 h. These results are paramount to mitigating the risks associated with escape events cost-effectively. We emphasise the importance of sabotage prevention measures, such as security systems that can quickly detect intruders and trigger an immediate response to deter them. Additionally, enforcing appropriate sanctions based on the severity of the damage caused could help to discourage future sabotage attempts. KEY WORDS: Aquaculture · Mediterranean seabass · Dicentrarchus labrax · Coastal zone management · Marine policy</p> <p> </p>
Data from: Resolving the Northern Hemisphere source region for the long-distance dispersal event that gave rise to the South American endemic dung moss Tetraplodon fuegianus
Premise of the study—American bipolar plant distributions characterize taxa at various taxonomic ranks but are most common in the bryophytes at infraspecific and infrageneric levels. A previous study on the bipolar disjunction in the dung moss genus Tetraplodon found that direct long-distance dispersal from North to South in the Miocene - Pleistocene accounted for the origin of the Southern American endemic Tetraplodon fuegianus, congruent with other molecular studies on bipolar bryophytes. The previous study, however, remained inconclusive regarding a specific Northern Hemisphere source region for the trans-equatorial dispersal event that gave rise to T. fuegianus. Methods—To estimate spatial genetic structure and phylogeographic relationships within the bipolar lineage of Tetraplodon, which includes T. fuegianus, we analyzed thousands of Restriction-site Associated DNA (RADseq) loci and single nucleotide polymorphisms using Bayesian individual assignment and maximum likelihood and coalescent model based phylogenetic approaches. Key results—Northwestern North America is the most likely source of the recent ancestor to T. fuegianus. Conclusions—Tetraplodon fuegianus, which marks the southernmost populations in the bipolar lineage of Tetraplodon, arose following a single long-distance dispersal event involving a T. mnioides lineage that is now rare in the Northern Hemisphere and potentially restricted to the Pacific Northwest region of North America. Furthermore, gene flow between sympatric lineages of Tetraplodon mnioides in the Northern Hemisphere is limited, possibly due to high rates of selfing or reproductive isolation.
Population assignment tests uncover rare long-distance larval dispersal events
<p>Long-distance dispersal (LDD) is consequential to metapopulation ecology and evolution. In systems where dispersal is undertaken by small propagules, such as larvae in the ocean, documenting LDD is especially challenging. Genetic parentage analysis has gained traction as a method for measuring larval dispersal, but such studies are generally spatially limited, leaving LDD understudied in marine species. We addressed this knowledge gap by uncovering LDD with population assignment tests in the coral reef fish <i>Elacatinus lori</i>—a species whose short-distance dispersal has been well-characterized by parentage analysis. When adults (<i>n</i> = 931) collected throughout the species' range were categorized into three source populations, assignment accuracy exceeded 99%, demonstrating low rates of connectivity between populations in the adult generation. After establishing high assignment confidence, we assigned settlers (<i>n</i> = 3,828) to source populations. Within the settler cohort, < 0.1% of individuals were identified as long-distance dispersers from other populations. These results demonstrate an exceptionally low level of connectivity between <i>E. lori</i> populations, despite the potential for ocean currents to facilitate LDD. More broadly, these findings illustrate the value of combining genetic parentage analysis and population assignment tests to uncover short- and long-distance dispersal, respectively.</p>
Supplementary files for Doré et al., 2025 - Evolutionary history of ponerine ants highlights how the timing of dispersal events shapes modern biodiversity. Nature Communications, 16(1), 8297.
<p><strong>### Research Article ###</strong></p> <p>This repository contains Supplementary files associated with this research paper:</p> <p><strong>Doré et al., 2025 - Evolutionary history of ponerine ants highlights how the timing of dispersal events shapes modern biodiversity. <em><span lang="FR">Nature Communications</span></em><span lang="FR">, <em>16</em>(1), 8297.</span></strong></p> <p><a href="https://doi.org/10.1111/XXXX">https://doi.org/10.1038/s41467-025-63709-3</a></p> <p><strong>### Research abstract ###</strong></p> <p> Disentangling the drivers of global biodiversity patterns is a cornerstone of biogeography that remains elusive for many diverse biological groups. Here we present a complete species-level phylogeny of the ant subfamily Ponerinae based on new phylogenomic sequencing and taxonomic grafting. We combine results with a large-scale geographic database to explore the contribution of three main mechanisms in shaping global ponerine biodiversity patterns: time for accumulation, differences in diversification rate, and asymmetric dispersal. We show that extant ponerine ants originated in Gondwana, spread eastward across tropical bioregions, and more recently colonized temperate areas. The relative timing of colonization events was identified as the prominent driver of present-day biodiversity patterns, supporting the time for accumulation hypothesis. Conversely, differences in diversification rates and asymmetrical dispersal histories mitigated the heterogeneity in biodiversity by fueling accumulation of lineages in the least diverse bioregions. These findings suggest that tropical niche conservatism played a major role in shaping the biogeographic and evolutionary history of Ponerinae. Overall, we emphasize the importance of considering the relative timing of past dispersal events and variations in diversification rates over evolutionary time to gain a deeper understanding of Earth’s biodiversity patterns. </p> <p><strong>### Contents ###</strong></p> <p>This repository contains five sub-archives:</p> <p> - <em><strong>01_Supplementary_Data</strong></em>: <strong>Supplementary Data S1-S8</strong> of the article including metadata for voucher specimens, fossil calibrations, grafting information, geolocalized occurrences, biogeographic membership, bioregion adjacency matrices, and <strong>ready-to-use phylogenies</strong>.</p> <p> - <em><strong>02_Supplementary_Movie</strong></em>: <strong>Supplementary Movie 1 - Ponerinae Biogeographic History</strong>: Time-lapsed animation of ponerine ant biogeographic and diversification history.</p> <p> - <em><strong>03_Phylogenetic_inferences</strong></em>: Scripts and files used to carry out <strong>phylogenetic inferences</strong>.</p> <p> - <em><strong>04_Divergence_dating</strong></em>: Scripts and files used to carry out <strong>divergence dating analyses</strong>.</p> <p> - <em><strong>05_Other_analyses</strong></em>: Script and files used to carry out <strong>data curation, tree grafting, and biogeographic and diversification analyses</strong>. This is a release of an associated GitHub repository available at <a href="https://github.com/MaelDore/Ponerinae_Historical_Biogeography">https://github.com/MaelDore/Ponerinae_Historical_Biogeography</a>.<br> <br><strong>### How to cite ###</strong></p> <p>Please cite this research article as:<br> <br>> Doré, M., Borowiec, M.L., Branstetter, M.G., Camacho, G.P., Fisher, B.L., Longino, J.T., Ward, P.S., & Blaimer, B.B., 2025. Evolutionary history of ponerine ants highlights how the timing of dispersal events shapes modern biodiversity. <em>Nature Communications</em>, 16(1), 8297.<span lang="FR"> </span>https://doi.org/10.1038/s41467-025-63709-3.</p>
Biophysical larval dispersal models of observed bonefish (Albula vulpes) spawning events in Abaco, The Bahamas: An assessment of population connectivity and ocean dynamics
<p>Biophysical models are a powerful tool for assessing population connectivity of marine organisms that broadcast spawn. <em>Albula</em> <em>vulpes</em> is a species of bonefish that is an economically and culturally important sportfish found throughout the Caribbean and that exhibits genetic connectivity among geographically distant populations. We created ontogenetically relevant biophysical models for bonefish larval dispersal based upon multiple observed spawning events in Abaco, The Bahamas in 2013, 2018, and 2019. Biological parameterizations were informed through active acoustic telemetry, CTD casts, captive larval rearing, and field collections of related albulids and anguillids. Ocean conditions were derived from the Regional Navy Coastal Ocean Model American Seas dataset. Each spawning event was simulated 100 times using the program Ichthyop. Ten thousand particles were released at observed and putative spawning locations and were allowed to disperse for the full 71-day pelagic larval duration for <em>A</em>. <em>vulpes</em>. Settlement densities in defined settlement zones were assessed along with interactions with oceanographic features. The prevailing Northern dispersal paradigm exhibited strong connectivity with Grand Bahama, the Berry Islands, Andros, and self-recruitment to lower and upper Abaco. Ephemeral gyres and flow direction within Northwest and Northeast Providence Channels were shown to have important roles in larval retention to the Bahamian Archipelago. Larval development environments for larvae settling upon different islands showed few differences and dispersal was closely associated with the thermocline. Settlement patterns informed the suggestion for expansion of conservation parks in Grand Bahama, Abaco, and Andros, and the creation of a park in Eleuthera and the Berry Islands to protect fisheries. Further observation of spawning events and the creation of biophysical models will help to maximize protection for bonefish spawning locations and nursery habitat, and may help to predict year-class strength for bonefish stocks throughout the Greater Caribbean.</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.