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571 results for “biological diversity”
Discussions of the not-so-fit: how ableism limits diverse thought and investigative potential in evolutionary biology
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Data from: Landscape diversity and crop vigor influence biological control of the western grape leafhopper (E. elegantula Osborn) in vineyards
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Data from: Warming reduces the growth and diversity of biological soil crusts in a semi-arid environment: implications for ecosystem structure and functioning
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Data from: Landscape-level crop diversity benefits biological pest control
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Genetic diversity of the zigzag ladybird beetle, Cheilomenes sexmaculata F. (Coleoptera: Coccinellidae) with its distribution in India and implications for biological control
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Species diversity and food web structure jointly shape natural biological control in agricultural landscapes
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Figure 3 from: Souza Silva M, Iniesta LFM, Ferreira RL (2020) Invertebrates diversity in mountain Neotropical quartzite caves: which factors can influence the composition, richness, and distribution of the cave communities? Subterranean Biology 33: 23-43. https://doi.org/10.3897/subtbiol.33.46444
Figure 3 Obligate cave species found in the Ibitipoca Estadual Park, Brazil. AHypogastruridaeBBlattodeaCBrasilomma enigmatica (Prodidomidae) DProjapygidaeEEukoenenia ibitipoca (Palpigradi).
Figure 2 from: Souza Silva M, Iniesta LFM, Ferreira RL (2020) Invertebrates diversity in mountain Neotropical quartzite caves: which factors can influence the composition, richness, and distribution of the cave communities? Subterranean Biology 33: 23-43. https://doi.org/10.3897/subtbiol.33.46444
Figure 2 Higher taxa invertebrate abundance, taxonomic diversity (richness) (A) and average taxonomic distinctness (Δ+) (B) in all 20 quartzite caves placed above 1200 m high in Minas Gerais (Brazil).
Figure 5 from: Souza Silva M, Iniesta LFM, Ferreira RL (2020) Invertebrates diversity in mountain Neotropical quartzite caves: which factors can influence the composition, richness, and distribution of the cave communities? Subterranean Biology 33: 23-43. https://doi.org/10.3897/subtbiol.33.46444
Figure 5 Metric multidimensional scaling (MDS) ordination plot of the 20 quartzite caves with and without a stream using bootstrap regions for group means around their centroids (triangles). Average (Av).
Figure 1 from: Souza Silva M, Iniesta LFM, Ferreira RL (2020) Invertebrates diversity in mountain Neotropical quartzite caves: which factors can influence the composition, richness, and distribution of the cave communities? Subterranean Biology 33: 23-43. https://doi.org/10.3897/subtbiol.33.46444
Figure 1 Borders of the Ibitipoca Estadual Park (A), sampled caves (white dots) and altitudinal layers (red lines 1610–1780, blue lines 1460–1600, yellow lines 1310–1450, green lines 1124–1450, black lines 950–1100 meters). Vegetation types vary from slope forest (B) to grasslands (D and C) on the top of the hills.
Figure 4 from: Souza Silva M, Iniesta LFM, Ferreira RL (2020) Invertebrates diversity in mountain Neotropical quartzite caves: which factors can influence the composition, richness, and distribution of the cave communities? Subterranean Biology 33: 23-43. https://doi.org/10.3897/subtbiol.33.46444
Figure 4 Distance-based redundancy analysis (dbRDA) showing the influences of the environmental factors on cave fauna composition in the 20 studied caves. The two axes explained nearly 55% of the variability in the fitted model and nearly 17% of the total variation in the data cloud. The first overlay shows how the first dbRDA axis is strongly related to cave sampled extension.
Figure 6 from: Boyd OF, Philips TK, Johnson JR, Nixon JJ (2020) Geographically structured genetic diversity in the cave beetle Darlingtonea kentuckensis Valentine, 1952 (Coleoptera, Carabidae, Trechini, Trechini). Subterranean Biology 34: 1-23. https://doi.org/10.3897/subtbiol.34.46348
Figure 6 A–C Minimum spanning networks of COI haplotypes, color-coded for each hypothesis of structure. A Four faunal regions of hypothesis I B ten watersheds of hypothesis II C five genetic clusters of hypothesis III D A split network of 85 COI sequences revealing the five genetically distinct clusters of hypothesis III.
Figure 7 from: Boyd OF, Philips TK, Johnson JR, Nixon JJ (2020) Geographically structured genetic diversity in the cave beetle Darlingtonea kentuckensis Valentine, 1952 (Coleoptera, Carabidae, Trechini, Trechini). Subterranean Biology 34: 1-23. https://doi.org/10.3897/subtbiol.34.46348
Figure 7 Representative male genitalia from 17 of the sampled caves: 1 Wells Cave; 2 Pine Hill Cave; 3–5 Wind Cave; 6 Richardson's Cave; 7, 8 Lainhart #1 Cave; 9, 10 and 15, 16 Pourover Cave; 11, 12 John Griffin Cave; 13 Climax Cave; 14 Hicksey Cave; 17, 18 Stab Cave; 19, 20 Piney Grove Cave; 21, 22 Dykes Bridge Cave; 23 Great Saltpeter Cave; 24 Teamers Cave; 25 Mullins Spring Cave; 26 Jesse Cave; 27 Steel Hollow Cave. Note that Wells and Dykes Bridge Caves were not included in the genetic study.
Figure 1 from: Boyd OF, Philips TK, Johnson JR, Nixon JJ (2020) Geographically structured genetic diversity in the cave beetle Darlingtonea kentuckensis Valentine, 1952 (Coleoptera, Carabidae, Trechini, Trechini). Subterranean Biology 34: 1-23. https://doi.org/10.3897/subtbiol.34.46348
Figure 1 (Adapted from Barr 1985, Figure 3) Map showing the major geologic features important for cave development in the southeastern United States: MP-I and MP-II (green) are western and eastern bands of the Mississippian Plateau. Dots indicate collecting records (see Figure 3).
Figure 5 from: Boyd OF, Philips TK, Johnson JR, Nixon JJ (2020) Geographically structured genetic diversity in the cave beetle Darlingtonea kentuckensis Valentine, 1952 (Coleoptera, Carabidae, Trechini, Trechini). Subterranean Biology 34: 1-23. https://doi.org/10.3897/subtbiol.34.46348
Figure 5 Frequencies of COI haplotypes and their proportions, color coded for each hypothesis of structure; circle area corresponds to number of individuals assigned to each group. Overlain transparent dots show collecting localities. A Four faunal regions of hypothesis I (fifth region unsampled in this study: see discussion and Barr 1985, Kane et al. 1992) B ten minor watersheds of hypothesis II C five genetic clusters of hypothesis III.
Figure 4 from: Boyd OF, Philips TK, Johnson JR, Nixon JJ (2020) Geographically structured genetic diversity in the cave beetle Darlingtonea kentuckensis Valentine, 1952 (Coleoptera, Carabidae, Trechini, Trechini). Subterranean Biology 34: 1-23. https://doi.org/10.3897/subtbiol.34.46348
Figure 4 Distribution of cave collection sites and proportions of haplotypes from 27 populations of Darlingtonea kentuckensis in eastern Kentucky, USA. Circle area corresponds to number of individuals sampled per locality. Different colors indicate different haplotypes; similarity in hue qualitatively indicates sequence similarity. KR: Kentucky River; RR: Rockcastle River; CR: Cumberland River; MVF: Mount Vernon Fault; DD = drainage divide between Kentucky and Rockcastle rivers.
Figure 3 from: Boyd OF, Philips TK, Johnson JR, Nixon JJ (2020) Geographically structured genetic diversity in the cave beetle Darlingtonea kentuckensis Valentine, 1952 (Coleoptera, Carabidae, Trechini, Trechini). Subterranean Biology 34: 1-23. https://doi.org/10.3897/subtbiol.34.46348
Figure 3 Cave localities of currently known sites for Darlingtonea kentuckensis. White dots were the caves sampled for this study while black dots represent caves unsampled.
Figure 2 from: Boyd OF, Philips TK, Johnson JR, Nixon JJ (2020) Geographically structured genetic diversity in the cave beetle Darlingtonea kentuckensis Valentine, 1952 (Coleoptera, Carabidae, Trechini, Trechini). Subterranean Biology 34: 1-23. https://doi.org/10.3897/subtbiol.34.46348
Figure 2 Gravid female Darlingtonea kentuckensis photographed in Fletcher Spring Cave, Rockcastle County, Kentucky. Photo courtesy of Dr. Matthew Niemiller, University of Alabama, Huntsville.
Figure 6 from: Mazebedi R, Hesselberg T (2020) A preliminary survey of the abundance, diversity and distribution of terrestrial macroinvertebrates of Gcwihaba cave, northwest Botswana. Subterranean Biology 35: 49-63. https://doi.org/10.3897/subtbiol.35.51445
Figure 6 Changes in the measured environmental cave substrate variables relative to distance from cave entrance, the error bars indicate standard deviation of the measurements at each sampling point. A Acidity (pH) B electrical conductivity (μS/cm) C percentage soil moisture.
Figure 3 from: Mazebedi R, Hesselberg T (2020) A preliminary survey of the abundance, diversity and distribution of terrestrial macroinvertebrates of Gcwihaba cave, northwest Botswana. Subterranean Biology 35: 49-63. https://doi.org/10.3897/subtbiol.35.51445
Figure 3 Common macroinvertebrate taxa found in Gcwihaba cave (photos by R. Mazebedi). A Cave cockroach (Gyna sp.) in family BlaberidaeB cave cricket (likely Spelaeiacris sp.) in the family RhaphidophoridaeC darkling beetle (Eurychora sp.) in the family TenebrionidaeD violin spider (Loxosceles sp.) in the family Sicariidae.
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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.