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1,445 results for “species richness.”
Figure 2 in Application of species-richness estimators for the assessment of earthworm diversity
Figure 2. Ordination of localities according to non-metric multidimensional scaling.
Figure 13 in An integrative approach to reveal speciation and species richness in the genus Diasporus (Amphibia: Anura: Eleutherodactylidae) in eastern Panama
Figure 13. Holotype of Diasporus sapo sp. nov.: A, B, frontal and lateral views, respectively.
FIGURE 2 in Exploring plant species richness along the Tiber River within the city of Rome
FIGURE 2. Spectrum based on percent values of preference habitats of the collected species.
Figure 3 in Plio-Pleistocene Carnivora of eastern Africa: species richness and turnover patterns
Figure 3. Quality assessment of the data. A, diagram of completeness values [C1 = (Ntot/(Ntot + Nrt)) * 100 and C2 = (Nbda/(Nbda + Nrt)) * 100] for 300-kyr bins from 4.2 to 0.9 Mya. The 85% cutoff line is arbitrarily selected, but represents a more stringent criterion than that used by Maas et al. (1995), who pioneered the use of these indices. All time slices from 3.6 to 1.5 Mya pass the 85% criterion for the more stringent C2 index, while for the less stringent C1 index, all time slices from 3.9 to 1.2 Mya pass. See text for fuller exposition. B, regression of the C2 completeness index against number of localities sampled in each time slice. The regression is significant (adjusted multiple R2 = 0.596**) indicating that completeness and hence sampling adequacy increases with the number of localities sampled. C, regression of the C2 completeness index against mean standing richness in each time slice. The regression is weakly significant (adjusted multiple R2 = 0.397*) indicating that completeness increases with increasing richness.
Figure 8 from: DeWalt R, Cao Y, Tweddale T, Grubbs S, Hinz L, Pessino M, Robinson J (2012) Ohio USA stoneflies (Insecta, Plecoptera): species richness estimation, distribution of functional niche traits, drainage affiliations, and relationships to other states. ZooKeys 178: 1-26. https://doi.org/10.3897/zookeys.178.2616
Figure 8 - Non–parametric Multi–Dimensional Scaling of Ohio Plecoptera assemblages associated with HUC6 drainages. Axis 1 vs Axis 3.
Figure 2 from: DeWalt R, Cao Y, Tweddale T, Grubbs S, Hinz L, Pessino M, Robinson J (2012) Ohio USA stoneflies (Insecta, Plecoptera): species richness estimation, distribution of functional niche traits, drainage affiliations, and relationships to other states. ZooKeys 178: 1-26. https://doi.org/10.3897/zookeys.178.2616
Figure 2 - Pre-European settlement vegetation percentage cover for Ohio (from Ohio Department of Natural Resources 2003).
Figure 7 from: DeWalt R, Cao Y, Tweddale T, Grubbs S, Hinz L, Pessino M, Robinson J (2012) Ohio USA stoneflies (Insecta, Plecoptera): species richness estimation, distribution of functional niche traits, drainage affiliations, and relationships to other states. ZooKeys 178: 1-26. https://doi.org/10.3897/zookeys.178.2616
Figure 7 - A–B Sampling intensity, drainage area, unique locations, and species richness relationships for HUC6 drainages A Sampling intensity for HUC6 drainages B Species richness vs. number of unique locations in HUC6 drainage areas.
Figure 3 from: Esqueda-González M, Ríos-Jara E, Galván-Villa C, Rodríguez-Zaragoza F (2014) Species composition, richness, and distribution of marine bivalve molluscs in Bahía de Mazatlán, México. ZooKeys 399: 43-69. https://doi.org/10.3897/zookeys.399.6256
Figure 3 - Observed and expected bivalves species accumulation curves, with nonparametric indices Chao 2, Jackknife 1, and Jackknife 2, of four sites of Bahía de Mazatlán (a–d). Plots were constructed with 10,000 non-replacement iterations.
Figure 2 from: Esqueda-González M, Ríos-Jara E, Galván-Villa C, Rodríguez-Zaragoza F (2014) Species composition, richness, and distribution of marine bivalve molluscs in Bahía de Mazatlán, México. ZooKeys 399: 43-69. https://doi.org/10.3897/zookeys.399.6256
Figure 2 - Observed and expected bivalves species accumulation curves, with nonparametric indices Chao 2, Jackknife 1, and Jackknife 2, in the three environments of Bahía de Mazatlán (a–c). Plots were constructed with 10,000 non-replacement iterations.
Figure 5 from: Esqueda-González M, Ríos-Jara E, Galván-Villa C, Rodríguez-Zaragoza F (2014) Species composition, richness, and distribution of marine bivalve molluscs in Bahía de Mazatlán, México. ZooKeys 399: 43-69. https://doi.org/10.3897/zookeys.399.6256
Figure 5 - Crassinella aff. pacifica. Length = 4.92 mm A Exterior of right valve B Exterior of left valve C Interior of right valve D Interior of left valve E Dorsal view of both valves joined. Scale = 1 mm. Venados Island, Bahía de Mazatlán, México. LEMA-BI-14. Photography credit: Paul Valentich-Scott.
Figure 4 from: Esqueda-González M, Ríos-Jara E, Galván-Villa C, Rodríguez-Zaragoza F (2014) Species composition, richness, and distribution of marine bivalve molluscs in Bahía de Mazatlán, México. ZooKeys 399: 43-69. https://doi.org/10.3897/zookeys.399.6256
Figure 4 - Average taxonomic distinctness (∆+) and variation in taxonomic distinctness (Λ+) of bivalves assemblages in the four sites (a and b), in the three environments (c and d) and in the sites by environments of Bahía de Mazatlán (e and f). The continuous line shows confidence intervals at 95% and the dashed line shows values ∆+ & Λ+. The statistical significance of ∆+ & Λ+ were tested using 1,000 permutations. Abbreviations as in Table 3.
Figure 4 from: Caterino MS, Tishechkin AK (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. ZooKeys 557: 59-77. https://doi.org/10.3897/zookeys.557.7087
Figure 4 - Female genitalia, Megalocraerus rubricatus. A 8th tergite, dorsal view B 8th sternite, ventral view C Bursa copulatrix (bc), common oviduct (co), spermatheca (st) and attached spermathecal gland (stg) D Ovipositor.
Figure 3 from: Caterino MS, Tishechkin AK (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. ZooKeys 557: 59-77. https://doi.org/10.3897/zookeys.557.7087
Figure 3 - Male genitalia, Megalocraerus rubricatus. A 8th tergite, dorsal view B 8th sternite, dorsal view C 8th tergite and sternite, lateral view, in situ D 9th and 10th tergites, dorsal view E 9th sternite, dorsal view F Aedeagus, dorsal view G Tegmen, lateral view.
Figure 6 from: Caterino MS, Tishechkin AK (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. ZooKeys 557: 59-77. https://doi.org/10.3897/zookeys.557.7087
Figure 6 - Aedeagi of Megalocraerus spp. A Megalocraerus mandibularis, dorsal view B Megalocraerus mandibularis, lateral view C Megalocraerus chico, dorsal view D Megalocraerus chico, lateral view E Megalocraerus madrededios, dorsal view F Megalocraerus madrededios, lateral view G unnamed Megalocraerus sp. from Rio de Janeiro, dorsal view H unnamed Megalocraerus sp. from Rio de Janeiro, lateral view.
Figure 1 from: Caterino MS, Tishechkin AK (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. ZooKeys 557: 59-77. https://doi.org/10.3897/zookeys.557.7087
Figure 1 - Generic characters of Megalocraerus. A Frons B Antenna C Mouthparts, ventral view (one maxilla and labial palpus omitted for clarity).
Figure 5 from: Caterino MS, Tishechkin AK (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. ZooKeys 557: 59-77. https://doi.org/10.3897/zookeys.557.7087
Figure 5 - A Dorsal habitus Megalocraerus mandibularis B Mandibles male Megalocraerus mandibularis C Dorsal habitus Megalocraerus chico.
Figure 2 from: Freijeiro A, Baselga A (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 6. ZooKeys 597: 81–99. https://doi.org/10.3897/zookeys.597.6792
Figure 2 - Partitioning of the variation (%) in species richness (a, b) and species composition (c, d) among groups of explanatory sets (A=area, E=environment and S=spatial variables) for European Cryptocephalinae (left column: a, c) and Chrysomelinae (right column: b, d).
Figure 1 from: Freijeiro A, Baselga A (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 6. ZooKeys 597: 81–99. https://doi.org/10.3897/zookeys.597.6792
Figure 1 - Patterns of variation in species richness (a, b), hierarchical clustering based in βsim (c, d) and mapping of 4 major clusters (e, f) for cryptocephalines (left column: a, c, e) and chrysomelines (right column: b, d, f). Colours correspond to the 4 major clusters. Countries' abbreviations follow those of Löbl and Smetana (2010).
Figure 3 from: Freijeiro A, Baselga A (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 6. ZooKeys 597: 81–99. https://doi.org/10.3897/zookeys.597.6792
Figure 3 - Distance decay of similarity with spatial distance in Northern Europe (solid dots, solid line) and southern Europe (hollow dots, dashed line) for cryptocephalines (a, blue), chrysomelines (b, red) and longhorn beetles (c, green). The density plots in (d) show the distribution of 1000 bootstrap replicates of the distance decay slopes (solid lines: northern Europe, dashed lines: southern Europe, colours corresponding to a, b, and c).
Low elevation species richness and biodiversity in the eastern Mojave desert, Clark County
<p>Global loss of biodiversity is a well-known concern for conservationists and managers, but detailed spatial maps of local biodiversity for use by local managers are often lacking. We used a suite of existing species distribution models to calculate spatial variation in low-elevation species richness across Clark County, Nevada, USA, comprising much of the eastern Mojave Desert. We then used a macroecological model to estimate true latent low-elevation biodiversity across the county, correcting for potential taxonomic bias in the estimates of species richness. We found that species richness and biodiversity tended to be higher along the Muddy and Virgin rivers and in the Las Vegas valley. Biodiversity was positively associated with flat, rocky landforms, low elevation, late seasonal greenup, and lower differences between winter and summer temperatures. We present a brief example for local managers to apply the new publicly available low-elevation species richness and biodiversity spatial layers.</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.