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504 results for “ecological diversity”
Figure 3 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 3. (a) Discriminant function analysis (DFA) and (b) principal component analysis (PCA) graph (biplot) showing the barycenter projection and distribution of the fatty acid composition percentage values between and within males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia. T.m.: T. mediterraneus.
Figure 2 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 2. Real images of the left (L) and right (R) otoliths of (A) T. mediterraneus, (B) S. pilchardus, (C) C. auratus, (D) T. draco, (E) G. niger, and (F) M. barbatus individuals collected from the five stations in the Gulf of Tunis, Tunisia.
Figure 1 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 1. Study area and location of the sampling stations (■) from which individuals of the six species were collected from the Gulf of Tunis, Tunisia.
Prey diversity in the deep ocean: metabarcoding feeding ecology of the commercially important queen snapper in the US Caribbean
<p>These data contains the raw information for the article " Prey diversity in the deep ocean: metabarcoding feeding</p> <p>ecology of the commercially important queen snapper in the US Caribbean"</p>
Species diversity and community structure of braconid wasps (Hymenoptera) in two ecological hotspots of Iran: implication for conservation
<p><span><span>Species diversity and community structure of braconid wasps (Hymenoptera) <a name="_Hlk115346465"></a>in two ecological hotspots of <a name="_Hlk115825047"></a><span>Iran</span>: implication for conservation </span></span></p> <p><span>Parisa Abdoli<sup>1</sup>, Ali Asghar Talebi<sup>1</sup></span><a title="" href="#_ftn1" name="_ftnref1"><sup><span><span>*</span></span></sup></a><span>, Nickolas G. Kavallieratos<sup>2</sup>, Samira Farahani<sup>3­</sup> and Rasoul Khosravi<sup>4</sup> </span></p> <p><em><span> </span></em></p> <p><span>1. Department of Entomology, Faculty of Agriculture, Tarbiat Modares University, Tehran, I.R. Iran. <a name="_Hlk533412392"></a>talebia@modares.ac.ir; P.abdoli@modares.ac.ir</span></p> <p><span>2. Laboratory of Agricultural Zoology and Entomology, Department of Crop Science, Agricultural University of Athens; 75 Iera Odos <span> </span>str., 11855 Athens, Attica, Greece. </span><span>nick_kaval@aua.gr</span></p> <p><span>3. Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran, I. R. Iran.<span> </span></span><a href="mailto:s.farahani@rifr-ac.ir"><span>s.farahani@rifr-ac.ir</span></a></p> <p><span><span>4. Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran, r-khosravi@shirazu.ac.ir</span></span></p> <div><br> <div> <p><a title="" href="#_ftnref1" name="_ftn1"><span><span><span>*</span></span></span></a><span> </span>Correspondence<span>. E-mail: talebia@modares.ac.ir</span></p> <p> </p> </div> </div>
Linked collectors and determiners for: Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru.
Natural history specimen data linked to collectors and determiners held within, "Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee">https://bionomia.net/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee">https://gbif.org/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee</a>. Formatted as a Frictionless Data package.
Figure 1 in Ecology and Diversity of Cockroaches (Dictyoptera: Blattaria) from the Virgin Islands
Figure 1. Maps of the Greater Puerto Rico Bank and the Virgin Islands with numbers of cockroaches recorded from the Virgin Islands historically and presently indicated for each sampled island.
Figures 21–22. Polyphagidae. 21 in Ecology and Diversity of Cockroaches (Dictyoptera: Blattaria) from the Virgin Islands
Figures 21–22. Polyphagidae. 21) Polyphagid sp. 1 (Compsodes sp. 1) adult from Guana Island. 22) Polyphagid sp. 2 nymph from Guana Island (all specimens in BDVC).
Figures 17–20. Blattidae. 17 in Ecology and Diversity of Cockroaches (Dictyoptera: Blattaria) from the Virgin Islands
Figures 17–20. Blattidae. 17) Eurycotis improcera adult from Guana Island. 18) Eurycotis sp. 1 adult from Tortola Island. 19) Periplaneta americana adult from Guana Island. 20) Periplaneta australasiae adult from Guana Island (all specimens in BDVC).
Figures 13–16. Blattellidae. 13 in Ecology and Diversity of Cockroaches (Dictyoptera: Blattaria) from the Virgin Islands
Figures 13–16. Blattellidae. 13) Plectoptera infulata adult from Tortola Island. 14) Plectoptera rhabdota adult from Guana Island. 15) Symploce pararuficollis adult from Guana Island. 16) Symploce ruficollis adult from Guana Island (all specimens in BDVC).
Figure 3 in Ecology and Diversity of Cockroaches (Dictyoptera: Blattaria) from the Virgin Islands
Figure 3. Relationship of average rainfall (mm) with monthly abundance in number of individuals of five cockroach species frequently captured in a Malaise trap within a forest edge from June 2000 through October 2011 on Guana Island, British Virgin Islands (missing 4 samples of VII/IX.2004, IV.2005, and VII.2007).
Figures 4–7. Blaberidae. 4 in Ecology and Diversity of Cockroaches (Dictyoptera: Blattaria) from the Virgin Islands
Figures 4–7. Blaberidae. 4) Colapteroblatta sp. 1 nymph from Tortola Island. 5) Hemiblabera brunneri male adult from Guana Island and nymph from Little Thatch Island. 6) Panchlora sagax from Guana Island. 7) Pycnoscelus surinamensis from Guana Island (all specimens in BDVC).
Figure 2 in Ecology and Diversity of Cockroaches (Dictyoptera: Blattaria) from the Virgin Islands
Figure 2. Relationship of rainfall (mm) with abundance of all cockroaches captured in a Malaise trap within a forest edge from June 2000 through October 2011 on Guana Island, British Virgin Islands (missing 4 samples of VII/IX.2004, IV.2005, and VII.2007; A: numbers of individuals per month averaged across years; B: numbers of individuals per year averaged across months).
Figures 8–12. Blattellidae. 8 in Ecology and Diversity of Cockroaches (Dictyoptera: Blattaria) from the Virgin Islands
Figures 8–12. Blattellidae. 8) Cariblatta antiguensis female adult from Tortola Island and nymph from Guana Island. 9) Cariblatta sp. 2 from Tortola Island. 10) Cariblatta sp. 3 from Tortola Island. 11) Euthlastoblatta facies adult and nymph from Guana Island. 12) Nyctibora lutzi adult and nymph from Guana Island (all specimens in BDVC).
Data from: Fractal triads efficiently sample ecological diversity and processes across spatial scales
<p>The relative influence of ecological assembly processes, such as environmental filtering, competition, and dispersal, vary across spatial scales. Changes in phylogenetic and taxonomic diversity across environments provide insight into these processes, however, it is challenging to assess the effect of spatial scale on these metrics. Here, we outline a nested sampling design that fractally spaces sampling locations to concentrate statistical power across spatial scales in a study area. We test this design in northeast Utah, at a study site with distinct vegetation types (including sagebrush steppe and mixed conifer forest), that vary across environmental gradients. We demonstrate the power of this design to detect changes in community phylogenetic diversity across environmental gradients and assess the spatial scale at which the sampling design captures the most variation in empirical data. We find clear evidence of broad-scale changes in multiple features of phylogenetic and taxonomic diversity across aspect. At finer scales, we find additional variation in phylodiversity, highlighting the power of our fractal sampling design to efficiently detect patterns across multiple spatial scales. Thus, our fractal sampling design and analysis effectively identify important environmental gradients and spatial scales that drive community phylogenetic structure. We discuss the insights this gives us into the ecological assembly processes that differentiate plant communities found in northeast Utah.</p>
Species ecology explains the various spatial components of genetic diversity in tropical reef fishes
<p>Generating genomic data for 19 tropical reef fish species of the Western Indian Ocean, we investigate how species ecology influences genetic diver- sity patterns from local to regional scales. We distinguish between the α, β and γ components of genetic diversity, which we subsequently link to six ecological traits. We find that the α and γ components of genetic diversity are strongly correlated so that species with a high total regional genetic diversity display systematically high local diversity. The α and γ diversity components are negatively associated with species abundance recorded using underwater visual surveys and positively with body size. Pelagic larval duration is found to be negatively related to genetic β diversity supporting its role as a dispersal trait in marine fishes. Deviation from the neutral theory of molecular evolution motivates further effort to understand the processes shaping genetic diversity and ultimately the diversification of the exceptional diversity of tropical reef fishes.</p>
Fig. 8 in Host biology, ecology and the environment influence microbial biomass and diversity in 101 marine fish species
Fig. 8 | Total microbial diversity across vertebrate hindguts and within multi- plebodysites of fish. a Hindgutmicrobiotasamplesfrom 569 speciesof vertebrates were rarified to 5000 reads and unique or shared ASVs determined for each class. b The percentage of unique ASVs only found in a given class (not shared in other classes) as compared to the total ASVs within that class. c Rarefaction of cumulative gamma diversity as a function of unique vertebrate species. Included is a single fish species, S. japonicus, sampled over 3 years "black dots" and the unrarefied FMP samples which had detectable bacteria in all four body sites (gill, skin, midgut, and hindgut).d Gammadiversity of 68 fishspeciesacrossfour bodysites.e Percentageof unique ASVs associatedwitha given bodysiteacrossthe 68 fish species.f Rarefaction curve of increasing gamma diversity (inclusive of four body sites) as a function of increasing fish species. ASV amplified sequence variant, 5k 5000.
Fig. 7 in Host biology, ecology and the environment influence microbial biomass and diversity in 101 marine fish species
Fig. 7 | Microbial source tracking analysis. a Microbial sources of 60 sea water (blue circle) samples taken from 30 unique sampling stations from two timepoints are distributed on a 10 km transect from Torrey Pines beach to Mission Bay. Microbial sources of 108 marine sediment samples (red stars) from San Diego coastalenvironmentincludes 60 paired samples (samelocationsas seawater) from the same 10 km transect along with 58 samples from the various reef habitats near La Jolla. Geographic data presented using ArcGIS. b Sourcetracker2 analysis of likely sources for the four body sites of the fish comparing contributions of beach sand, marine sediment, sea water, and "unknown". Unknown refers to microbes from an unknown source which could include diet and other animals or locations not sampled. c Specific microbial contributions of sea water to the four mucosal body sites and d specific microbial contributions of marine sediment to the four mucosalbodysites b–d: distributionisin medianand interquartilerange.Statistical differences determined using non-parametrictesting Kruskal–Wallistest with 0.05 FDR Benjamini–Hochberg. e Proportion of microbes (distribution is in median and interquartile range) likely originating from the sea water vs. sediment for each unique body site (sea water vs. sediment pairwise comparison for each body site using Mann–Whitney test p <0.05).f Spearmanrho valuesfromcomparisons ofthe ratio of sea water "SW" and marine sediment "SED" against various continuous fish life history metadata variables for each unique body site (Spearman correlation p <0.05). g Comparison of the SW:SED ratios across the habitats from which the fish live. Comparisons performed on each unique body site (Kruskal–Wallis test, p <0.05). *p <0.05, **p <0.01, ***p <0.001, ****p <0.0001, ASV amplified sequence variant ~unique sub-Operational Taxonomic Unit, SD standard deviation, MG midgut, HG hindgut, KW Kruskal–Wallis test statistic "H", IQR inter quartile range, SW sea water.
Fig. 5 in Host biology, ecology and the environment influence microbial biomass and diversity in 101 marine fish species
Fig. 5 | Biological and life history drivers of mucosal microbiota in diverse sampling of marine fish from Southern California. a Multivariate analysis of biological and life history parameters evaluated using unweighted and weighted normalized UniFrac distances. Statistical significance (PERMANOVA p = 0.001) indicated by yellow blocks (left) and effect size (right). All samples compared together (all) along with individual sample types (gill, skin, midgut, hindgut). b Impact of trophic level on similarity between midgut and hindgut (within a species) (linear model:p p value, mslope,dottedlinesare 95% confidence interval). F-Stat test statistic used in PERMANOVA analysis, all row names in a are metadata column names used in the analysis, MG midgut, HG hindgut, Gen. Weighted UniFrac generalized weighted UniFrac.
Fig. 6 in Host biology, ecology and the environment influence microbial biomass and diversity in 101 marine fish species
Fig. 6 | Evidence forphylosymbiosis across fishbody sites. Effectof evolutionary distance (low divergence time indicates a short branch length or similar fish species) of all fish compared to a skin unweighted UniFrac distance, b gill generalized weighted UniFrac distance, c hindgut generalized weighted UniFrac distance. Comparisons performed using Mantel test with multiple testing by FDR. Divergence time between fish species calculated using timetree.org. Gen. Weighted UniFrac generalized weighted UniFrac.
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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
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.