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19,493 results for “Populism”
Figure 1 in Description, biology and conservation of a new species of Australian tree frog (Amphibia: Anura: Hylidae: Litoria) and an assessment of the remaining populations of Litoria genimaculata Horst, 1883: systematic and conservation implications of an unusual speciation event
Figure 1. Distribution of Litoria myola sp. nov. (formerly termed iS) and the northern (N) and southern (S) lineages of Litoria genimaculata in the Wet Tropics, northeast Queensland. CT, Carbine Tableland; BMC, Black Mountain Corridor; LR, Lamb Range; BK, Bellenden Ker Range; AT, Atherton Tableland; MT, Malbon Thompson Range; GR, Graham Range.
Figure 2 in Description, biology and conservation of a new species of Australian tree frog (Amphibia: Anura: Hylidae: Litoria) and an assessment of the remaining populations of Litoria genimaculata Horst, 1883: systematic and conservation implications of an unusual speciation event
Figure 2. Litoria myola, sp. nov., males (A, a pale individual; B, a heavily marked individual), Kuranda, north-east Queensland.
Figure 3 in Description, biology and conservation of a new species of Australian tree frog (Amphibia: Anura: Hylidae: Litoria) and an assessment of the remaining populations of Litoria genimaculata Horst, 1883: systematic and conservation implications of an unusual speciation event
Figure 3. Spectrogram of the courtship call of Litoria myola sp. nov. (recorded at an air temperature of 25 °C). The spectrogram displays a single courtship call consisting of six notes ('tocs'). The degree of shading displays call intensity.
Figure 7 in Description, biology and conservation of a new species of Australian tree frog (Amphibia: Anura: Hylidae: Litoria) and an assessment of the remaining populations of Litoria genimaculata Horst, 1883: systematic and conservation implications of an unusual speciation event
Figure 7. Rainforest stream habitat, with rocky (A) and sandy (B) substrate, Kuranda, north-east Queensland. Litoria myola sp. nov. and Litoria genimaculata are present at both sites.
Data: Applying stochastic and Bayesian integral projection modeling to amphibian population viability analysis
<p>Integral projection models (IPMs) can estimate the population dynamics of species for which both discrete life stages and continuous variables influence demographic rates. Stochastic IPMs for imperiled species, in turn, can facilitate population viability analyses (PVAs) to guide conservation decision-making. Biphasic amphibians are globally distributed, often highly imperiled, and ecologically well-suited to the IPM approach. Herein, we present the first stochastic size- and stage-structured IPM for a biphasic amphibian, the U.S. federally threatened California tiger salamander (<em>Ambystoma</em> <em>californiense</em>; CTS). This Bayesian model reveals that CTS population dynamics show the greatest elasticity to changes in juvenile and metamorph growth and that populations are likely to experience rapid growth at low density. We integrated this IPM with climatic drivers of CTS demography to develop a PVA and examined CTS extinction risk under the primary threats of habitat loss and climate change. The PVA indicates that long-term viability is possible with surprisingly high (20–50%) terrestrial mortality, but simultaneously identified likely minimum terrestrial buffer requirements of 600–1000 m while accounting for numerous parameter uncertainties through the Bayesian framework. These analyses underscore the value of stochastic and Bayesian IPMs for understanding both climate-dependent taxa and those with cryptic life histories (e.g., biphasic amphibians) in service of ecological discovery and biodiversity conservation. In addition to providing guidance for CTS recovery, the contributed IPM and PVA supply a framework for applying these tools to investigations of ecologically-similar species.</p>
Mitochondrial influence on sex-specific phenotypes within natural populations
<p>Data and scripts for the manuscript entitled "Mitochondrial influence on sex-specific phenotypes within natural populations" submitted to <em>Evolution</em><em>. </em></p>
G-matrix stability of clinally diverging populations of an annual weed
<p>How phenotypic and genetic divergence among populations is influenced by the genetic architecture of those traits, and how microevolutionary changes in turn affect the within-population patterns of genetic variation, are of major interest to evolutionary biology. Work on <em>Ipomoea hederacea</em>, an annual vine, has found genetic clines in the means of a suite of ecologically important traits, including flowering time, growth rate, seed mass, and corolla width. Here we investigate the genetic (co)variances of these clinally varying traits in two northern range-edge and two central populations of <em>Ipomoea hederacea </em>to evaluate the influence of the genetic architecture on divergence across the range. We find 1) limited evidence for clear differentiation between Northern and Southern populations in the structure of <strong>G</strong>, suggesting overall stability of <strong>G</strong> across the range despite mean trait divergence and 2) that the axes of greatest variation (g<sub>max</sub>) were unaligned with the axis of greatest multivariate divergence. Together these results indicate the role of the quantitative genetic architecture in constraining evolutionary response and divergence among populations across the geographic range.</p>
Collective navigation as a solution to noisy navigation and its vulnerability to population loss
<p>Many animals use the geomagnetic field to migrate long distances with high accuracy; however, research has shown that individual responses to magnetic cues can be highly variable. Thus, it has been hypothesized that magnetoreception alone is insufficient for accurate migrations, and animals must either switch to a more accurate sensory cue or integrate their magnetic sense over time. Here we suggest that magnetoreceptive migrators could also use collective navigation strategies. Using agent-based models, we compare agents utilizing collective navigation to both the use of a secondary sensory system and time-integration. Our models demonstrate that collective navigation allows for 70% success rates for noisy navigators. To reach the same success rates, a secondary sensory system must provide perfect navigation for over 73% of the migratory route, and time integration must integrate over 50 time-steps, indicating that magnetoreceptive animals could benefit from using collective navigation. Finally, we explore the impact of population loss on animals relying on collective navigation. We show that as population density decreases, a greater proportion of individuals fail to reach their destination and that a 50% population reduction can result in up to a 37% decrease in the proportion of the individuals completing their migration.</p>
Data for Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing
<p>Data for<em> Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing </em>(https://doi.org/10.5194/acp-2022-484)</p> <p>Contact Santeri Tuovinen (santeri.tuovinen@helsinki.fi) for more details.</p>
Supplementary material 1 from: Hirsch H, Wypior C, von Wehrden H, Wesche K, Renison D, Hensen I (2012) Germination performance of native and non-native Ulmus pumila populations. NeoBiota 15: 53-68. https://doi.org/10.3897/neobiota.15.4057
Location and climate information of the sampled Ulmus pumila populations in China and the U.S. Maximum (max.) temperatures for the months May, June and July are provided to show the temperature range during the main germination period (lowest and highest values are italicized). Climatic information was extracted from the WORLDCLIM database (Hijmans et al. 2005).
Supplementary material 2 from: Hirsch H, Wypior C, von Wehrden H, Wesche K, Renison D, Hensen I (2012) Germination performance of native and non-native Ulmus pumila populations. NeoBiota 15: 53-68. https://doi.org/10.3897/neobiota.15.4057
Comparison of climatic conditions (a: mean annual temperature; b: annual precipitation) between the Chinese and North American locations of Ulmus pumila. Wilcoxon rank sum tests were used to test for differences between both ranges. Mean annual temperatures are significantly higher for locations from the U.S. (W = 7, p < 0.05). Annual precipitation is marginal higher in the invasive populations compared to the native populations (W = 9, p = 0.05). Significant differences are symbolized by different lowercases above the boxes.
Supplementary material 1 from: Pontoppidan M, Nachman G (2013) Spatial Amphibian Impact Assessment – a management tool for assessment of road effects on regional populations of Moor frogs (Rana arvalis). Nature Conservation 5: 29-52. https://doi.org/10.3897/natureconservation.5.4612
Full model description following the protocol suggested by Grimm et al. (2006, 2010) and model parameterisation. (doi: 10.3897/natureconservation.5.4612.app). File format: Adobe PDF document (pdf).:
From population connectivity to the art of striping Russian dolls: the lessons from Pocillopora corals
<p>Here, we examined the genetic variability in the coral genus <em>Pocillopora</em>, in particular within the Primary Species Hypothesis PSH09, identified by Gélin, Postaire, Fauvelot and Magalon (2017b) using species delimitation methods [also named <em>Pocillopora eydouxi/meandrina</em> complex <em>sensu</em> Schmidt-Roach, Miller, Lundgren, & Andreakis (2014)] and which was found to split into three Secondary Species Hypotheses (SSH09a, SSH09b and SSH09c) according to assignment tests using multi-locus genotypes (13 microsatellites). From a large sampling (2,507 colonies) achieved in three marine provinces [Western Indian Ocean (WIO), Tropical Southwestern Pacific (TSP) and Southeast Polynesia (SEP)], genetic structuring analysis conducted with two clustering analyses (Structure and DAPC) using 13 microsatellites revealed that SSH09a was restricted to the WIO while SSH09b and SSH09c were almost exclusively in the TSP and SEP. More surprisingly, each SSH split into two to three genetically differentiated clusters, found in sympatry at the reef scale, leading to a pattern of nested hierarchical levels (PSH > SSH > cluster), each level hiding highly differentiated genetic groups. Thus, rather than structured populations within a single species, these three SSHs, and even the eight clusters, likely represent distinct genetic lineages engaged in a speciation process or real species. The issue is now to understand which hierarchical level (SSH, cluster or even below) corresponds to the species one. Several hypotheses are discussed on the processes leading to this pattern of mixed clusters in sympatry, evoking formation of reproductive barriers, either by allopatric speciation or habitat selection.</p> <p>This submission contains the genotypes of 2507 individuals from PSH09 for 13 microsatellites.</p>
Figure 6. One chromosome from the population and the five chromosomes existing in the evaluation partition.-Genetic Algorithms Principles Towards Hidden Markov Model
<p>For example comparing the<br> chromosome given in Figure 6 with the first chromosome in the evaluation partition, the<br> difference between the relation Med-Med and Med-High as a pair is 0.0 and the difference<br> between the relation High-High and High-Med as a pair is 0.1. Similarly the difference between<br> the relation Med-Cold and Med-Hot as a pair is 0.1 and the difference between the relation<br> High-Cold and High-Hot as a pair is 0.2. We sum all these differences to get the value of<br> compare(i,j), the sum value is 0+0.1+0.1+0.2 = 0.4. Using the same approach we compute the<br> compare function with the other four chromosomes and we get values 0.4, 0.5,0.4 and 0.6. Now<br> we sum the five values 0.4 + 0.4 + 0.5+ 0.4 +0.6 = 2.3. The fitness value is then 1/ 2.3 = 0.434.<br> The highest is the fitness value, the better is the performance of the chromosome.</p>
Correcting for population stratification reduces false positive and false negative results in joint analyses of host and pathogen genomes [G2G-Simulator: Simulated dataset]
<p>Data associated with the paper 'Correcting for population stratification reduces false positive and false negative results in joint analyses of host and pathogen genomes'.</p> <p>It contains the raw simulated data from the 'G2G-Simulator' program. </p> <p>Those data need to be loaded in a R environment .</p> <p>You can reproduce plots present in the paper by parsing the R object using the script 'parse_paper_data.R' present in the G2G-Simulator GitHub repository (https://github.com/onaret/G2G-Simulator/paper/parse_paper_dataset.R). </p>
Figure 13 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 13. Showing the monthly fluctuations of male, female and nymph population, temperature and humidity in Row II.
Рис. 7. ГнезΑо ΑаΛьневосточного аиста, распоΛоженное на гнезΑовой пΛатформе, установΛенной на опоре ΑЭП-500 в Серышевском районе Амурской обΛасти Fig. 7. The Oriental stork nest, built on the special platform installed on a 500 kV power transmission pole in the Seryshevsky district of the Amur region in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 7. ГнезΑо ΑаΛьневосточного аиста, распоΛоженное на гнезΑовой пΛатформе, установΛенной на опоре ΑЭП-500 в Серышевском районе Амурской обΛасти Fig. 7. The Oriental stork nest, built on the special platform installed on a 500 kV power transmission pole in the Seryshevsky district of the Amur region
Рис. 6. Карта распоΛожения гнезΑ ΑаΛьневосточного аиста в Амурской обΛасти в 2018– 2019 гг. по типам гнезΑовых опор Fig. 6. Map of Oriental stork nests in the Amur region in 2018–2019 by types of nesting supports in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 6. Карта распоΛожения гнезΑ ΑаΛьневосточного аиста в Амурской обΛасти в 2018– 2019 гг. по типам гнезΑовых опор Fig. 6. Map of Oriental stork nests in the Amur region in 2018–2019 by types of nesting supports
Рис. 2. Размерная структура G. lacustris в ΛитораΛьной зоне озера АрахΛей: 1 — июнь; 2 — август; 3 — октябрь Fig. 2. G. lacustris population size structure in the Lake Arakhley littoral zone: 1 — June, 2 — August, 3 — October in The life cycle of Gmelinoides fasciatus (Stebbing, 1899) and Gammarus lacustris (Sars, 1863) amphipods in the lake Arakhley littoral during the extreme low-water phase of the hydrological cycle
Рис. 2. Размерная структура G. lacustris в ΛитораΛьной зоне озера АрахΛей: 1 — июнь; 2 — август; 3 — октябрь Fig. 2. G. lacustris population size structure in the Lake Arakhley littoral zone: 1 — June, 2 — August, 3 — October
Рис.5. СоотношениеразΛичныхгнезΑовыхтиповопорв 2018–2019 гг. поаΑминистративным районам (Λевый график) и в цеΛом по Амурской обΛасти (правый график) Fig. 5. The ratio of different types of nesting supports in 2018–2019 by administrative districts (right graph) and in general in the Amur region (left graph) in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис.5. СоотношениеразΛичныхгнезΑовыхтиповопорв 2018–2019 гг. поаΑминистративным районам (Λевый график) и в цеΛом по Амурской обΛасти (правый график) Fig. 5. The ratio of different types of nesting supports in 2018–2019 by administrative districts (right graph) and in general in the Amur region (left graph)
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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.