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379 results for “species number”
Figure 1 from: Soreng RJ, Gillespie LJ (2018) Poa secunda J. Presl (Poaceae): a modern summary of infraspecific taxonomy, chromosome numbers, related species and infrageneric placement based on DNA. PhytoKeys 110: 101-121. https://doi.org/10.3897/phytokeys.110.27750
Figure 1 Poasecunda habit and panicles: AP.s.subsp.secundavar.secunda (Soreng 9359) BP.s.subsp.juncifoliavar.ampla (Soreng 9358) C Panicles of subsp. secundavar.secunda (left) and juncifolia var. ampla (right) (Photos. RJS, Deschutes River near Madras, Jefferson Co., Oregon).
Figure 3 from: Soreng RJ, Gillespie LJ (2018) Poa secunda J. Presl (Poaceae): a modern summary of infraspecific taxonomy, chromosome numbers, related species and infrageneric placement based on DNA. PhytoKeys 110: 101-121. https://doi.org/10.3897/phytokeys.110.27750
Figure 3 Bayesian 50% majority rule consensus trees of Poa based on plastid (trnT-trnL-trnF, rpoB-trnC, MatK) data (left) and nrDNA ITS and ETS data (right). Bayesian posterior probabilities are shown above branches, maximum parsimony bootstrap values below branches. Outgroups are not shown. Major clades are indicated by colour and capital letters. Taxa shown in blue belong to P.subg.Secundae; those in grey are other taxa of putative hybrid origin that belong to different major clades in plastid and nrDNA trees.
Fig. 15 in Extant diversity and estimated number of Gracillariidae (Lepidoptera) species yet to be discovered in the Neotropical region
Fig. 15. Variation in number of records for angiosperm families used as hosts for gracillariid species in the Neotropical region. Numbers above bars represent percentages in relation to total number of plant families.
Fig. 11 in Extant diversity and estimated number of Gracillariidae (Lepidoptera) species yet to be discovered in the Neotropical region
Fig. 11. Numerical contributions by author on description of gracillarid species for the Neotropical region. Numbers above bars represent percentages in relation to the total number of species (n = 175).
Fig. 5 in An estimate of the potential number of mayfly species (Ephemeroptera, Insecta) still to be described in Brazil
Fig. 5. Predicted future cumulative species curve for Brazilian Ephemeroptera based on three curvilinear models (Extreme, Logistic, and Gompertz).
Fig. 3 in An estimate of the potential number of mayfly species (Ephemeroptera, Insecta) still to be described in Brazil
Fig. 3. (A) linear regression between mean body size of ephemeropteran species discovered in Brazil, and the year of the species description; (B) phylogenetic correlogram of the residual of the linear regression. The white circle indicates a significant value for Moran's I (p <0.0001).
Fig. 4 in An estimate of the potential number of mayfly species (Ephemeroptera, Insecta) still to be described in Brazil
Fig. 4. Analysis of variance between the Brazilian regions in which the ephemeropteran holotypes were collected and the number of species described. Values with different letters are significantly different.
FIGURE 2 in A new species of Paspalum, Notata group (Poaceae, Paspaleae), from the Cerrado biome, Brazil: description, chromosome number, and leaf blade anatomy
FIGURE 2. Distribution map of Paspalum cerradoense in the Cerrado biome, Brazil.
Data from: Effective number of breeders, effective population size and their relationship with census size in an iteroparous species, Salvelinus fontinalis
Effective number of breeders, Nb, effective population size, Ne, iteroparity, small population size, brook trout, age at maturation Abstract: The relationship between the effective number of breeders (Nb) and the generational effective size (Ne) has rarely been examined empirically in species with overlapping generations and iteroparity. Based on a suite of 11 microsatellite markers we examine the relationship between Nb, Ne, and census population size (Nc) in 14 brook trout (Salvelinus fontanels) populations inhabiting 12 small streams in Nova Scotia and sampled at least twice between 2009 and 2015. Unbiased estimates of Nb obtained with individuals of a single cohort, adjusted on the basis of age at first maturation (α) and adult life span (AL) were from 1.66 to 0.24 times the average estimates of Ne obtained with random samples of individuals of mixed ages [i.e., N ̂(b(adj2))/〖mean(N ̂ (e(mixed ages)))]. In turn, these differences led to adjusted Ne estimates that were from nearly 5 to 0.7 times the estimates derived from mixed aged individuals. These differences translate into the same range of variation in the ratio of effective to census population size (N ̂_(e(adj2))N ̂_c) within populations. Adopting N ̂(e(adj2)) as the more precise and unbiased estimates, we found that these brook trout populations differ markedly in their effective to census population sizes (range ~0.3 to ~0.001). Using AgeNe we then show that the variance in reproductive success or reproductive skew varied among populations by a factor of 40 from a Vk/k≈5 to 200. These results suggest wide differences in population dynamics likely resulting from differences in productivity affecting the intensity of competition for access to mates or redds and thus, reproductive skew. Understanding the relationship between Ne, Nb and Nc and how these relate to population dynamics and fluctuations in population size are important for the design of robust conservation strategies in small populations with overlapping generations and iteroparity.
Figs. 5–8 in Eggs, Ovariole Numbers, and Modes of Parasitism of Cleptoparasitic Bees, with Emphasis on Neotropical Species (Hymenoptera: Apoidea)
Figs. 5–8. SEM micrographs of mature oocytes of Kelita tuberculata. 5. Entire oocyte, lateral view, anterior end toward left. 6. Closeup of micropyle, lateral view. 7. Entire oocyte, dorsal view. 8. Closeup of micropyle, dorsal view.
FIGURE. Numbers of terrestrial, climbing, lithophytic and epiphytic orchid species in Myanmar. in Annotated List of Orchidaceae for Myanmar
FIGURE. Numbers of terrestrial, climbing, lithophytic and epiphytic orchid species in Myanmar.
Figure 4 from: Del Latte L, Bortolin F, Rota-Stabelli O, Fusco G, Bonato L (2015) Molecular-based estimate of species number, phylogenetic relationships and divergence times for the genus Stenotaenia (Chilopoda, Geophilomorpha) in the Italian region. In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 31-47. https://doi.org/10.3897/zookeys.510.8808
Figure 4 - Dated phylogeny. Estimates of divergence time, calculated using 28S sequences and two priors (age of the root and substitution rate) in the package BEAST v1.7.2 (see text). 95% High Posterior Density intervals are represented by coloured bars for the most robust nodes, emphasized by a circle. Greek letters refer to the species tentatively recognised (see Fig. 1). The tree has the same topology of the concatenated ML tree of Fig. 3, but for the position of Tuoba sydneyensis and the relationships within the group formed by species β, ε, γ and the specimen from Iran. The specimen from Volpago (species δ) is absent because its 28S sequence was not obtained. Time scale is different in the two intervals 0–100 and 100–200 Ma.
Figure 3 from: Del Latte L, Bortolin F, Rota-Stabelli O, Fusco G, Bonato L (2015) Molecular-based estimate of species number, phylogenetic relationships and divergence times for the genus Stenotaenia (Chilopoda, Geophilomorpha) in the Italian region. In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 31-47. https://doi.org/10.3897/zookeys.510.8808
Figure 3 - Maximum likelihood phylogeny. ML tree obtained from concatenated COI and 28S sequences, by the GTR+I+G model, and manually rooted. The following support values are indicated at the nodes (only for those present in the topology obtained from the concatenated sequences): ML bootstrap for the analysis of concatenated genes (upper left); Bayesian posterior probabilities (upper right, in italics); ML bootstrap for the analysis of COI sequences (lower left); ML bootstrap for the analysis of 28S sequences (lower right). Bootstrap values < 50% and posterior probabilities < 0.50 are not shown. Circles indicate ingroup nodes that are highly supported in the tree based on concatenated sequences. Terminal node groupings indicated by Greek letters refer to the species tentatively recognized (see text and Fig. 1). The specimen from Volpago (species δ) is absent because its 28S sequence was not obtained.
Figure 1 from: Del Latte L, Bortolin F, Rota-Stabelli O, Fusco G, Bonato L (2015) Molecular-based estimate of species number, phylogenetic relationships and divergence times for the genus Stenotaenia (Chilopoda, Geophilomorpha) in the Italian region. In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 31-47. https://doi.org/10.3897/zookeys.510.8808
Figure 1 - Sampling localities of Stenotaenia in the Italian region. Greek letters refer to the species tentatively recognized after the analyses (see text).
*For each species, range of variation, average value and number of specimens examined are given in The woodwasp genus Tremex (Hymenoptera, Siricidae) of Japan
*For each species, range of variation, average value and number of specimens examined are given
*For each species, range of variation, average value and number of specimens examined are given in The woodwasp genus Tremex (Hymenoptera, Siricidae) of Japan
*For each species, range of variation, average value and number of specimens examined are given
*For each species, range of variation, average value and number of specimens examined are given. in The woodwasp genus Tremex (Hymenoptera, Siricidae) of Japan
*For each species, range of variation, average value and number of specimens examined are given.
Data from: Rarefaction and extrapolation with Hill numbers: a framework for sampling and estimation in species diversity studies
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Data from: Minimum required number of specimen records to develop accurate species distribution models
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Data from: Species diversity rises exponentially with the number of available resources in a multi-trait competition model
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OpenNeuro
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