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8,119 results for “species distribution”
Fig. 17. N in A New Nalassus Mulsant, 1854 (Coleoptera: Tenebrionidae) From Transcaucasia With A Key To Species From The Greater Caucasus And Notes On The Taxonomy, Distribution, Bionomics And Trophic Relations
Fig. 17. N. abkhasicus, habitus, details of structure. A = m, dorsally; B = m, ventrally; C = f,
Fig. 12. N in A New Nalassus Mulsant, 1854 (Coleoptera: Tenebrionidae) From Transcaucasia With A Key To Species From The Greater Caucasus And Notes On The Taxonomy, Distribution, Bionomics And Trophic Relations
Fig. 12. N. ludmilae, habitus, details of structure. A = m, dorsally; B = m, ventrally; C = f,
Figs 10–11 in Two new species of Hedychrum Latreille (Hymenoptera: Chrysididae) from India and Nepal with review of the genus distribution in Asia
Figs 10–11. Hedychrum migliaccioi sp. n., female holotype. 10 – head, frontal view; 11 –
Figs 8–9 in Two new species of Hedychrum Latreille (Hymenoptera: Chrysididae) from India and Nepal with review of the genus distribution in Asia
Figs 8–9. Hedychrum migliaccioi sp. n., female holotype. 8 – habitus, dorsal view; 9 –
Figs 1–4 in Two new species of Hedychrum Latreille (Hymenoptera: Chrysididae) from India and Nepal with review of the genus distribution in Asia
Figs 1–4. Hedychrum crassitarse sp. n., female holotype. 1 – habitus, dorsal view; 2 –
Figs 5–7 in Two new species of Hedychrum Latreille (Hymenoptera: Chrysididae) from India and Nepal with review of the genus distribution in Asia
Figs 5–7. Hedychrum crassitarse sp. n., female holotype. 5 – metasoma, ventral view; 6
Figs 4‒12 in List of the North American species of the genus Brachyserphus (Hymenoptera, Proctotrupidae) with notes on distribution and synonymy
Figs 4‒12. Ovipositor sheath, lateral and dorsal view. 4 – Brachyserphus lucens; 5 – B.
Figs 1‒3 in List of the North American species of the genus Brachyserphus (Hymenoptera, Proctotrupidae) with notes on distribution and synonymy
Figs 1‒3. Brachyserphus lucens (1, 3): 1 ‒ spurs on tibia of hind leg; 3 ‒ base matasoma,
Supporting data for article comparison and Uncertainty Analysis of Species Distribution Models
<p>Downloaded from Web of Science for the supporting data of article comparison and Uncertainty Analysis of Species Distribution Models.</p>
A biogeographical approach to characterising the climatic, physical and geomorphic niche of the most widely distributed mangrove species, Avicennia marina
<p><strong>Aim:</strong> Mangroves are coastal ecosystems exposed to terrestrial, marine, geomorphic and climatic forcings operating in concert, making the mangrove niche hard to define, as evidenced by extremely poor restoration outcomes. We have developed a set of high-resolution species distribution models and interpreted the variables that have the largest impact on the niche of <em>Avicennia</em> <em>marina</em>, the most globally widespread mangrove species, to comprehensively detail the forcings driving habitat suitability.</p> <p><strong>Location</strong>: Australia.</p> <p><strong>Time period</strong>: 1970–2020.</p> <p><strong>Major taxa studied</strong>: <em>Avicennia</em> <em>marina</em> (Forssk.) Vierh.</p> <p><strong>Methods</strong>: We modelled the suitable habitat for <em>A</em>. <em>marina</em> in Australia using the maxent method incorporating 38 environmental variables and the Global Mangrove Watch baseline for the presence records. Using k-means grouping we identified sub-regions where similar suites of environmental variables influence habitat suitability, while also identifying biogeographical commonalities among the sub-regions. To better understand the low realisation of the fundamental niche we analysed the other land covers occupying the niche.</p> <p><strong>Results</strong>: <em>A</em>. <em>marina</em> in Australia occupies six different environmental sub-regions. Maxent distribution models accurately predicted the presence of <em>A</em>. <em>marina</em> in each subpopulation (AUC > 0.9). <em>A</em>. <em>marina</em>'s presence in all sub-regions was strongly determined by its proximity to freshwater. Precipitation and temperature extreme values were more important than average values in predicting the species' presence. The species requires low-energy coastlines with high solar radiation. The suitable areas are primarily shared with salt marshes, seagrass and buildings or cleared land.</p> <p><strong>Main conclusions</strong>: Our results offer a baseline for the suitable area of A. marina's presence that includes a range of environmental conditions, <em>A</em>. <em>marina</em> currently occupies <50% of its suitable habitat and there is scope for restoration with significant ecosystem service gains. The six different sub-regions in Australia map to known phylogenetically distinct populations indicating genetic plasticity in response to region-specific climatic conditions.</p>
Dataset: Selecting tree species to restore forest under climate change conditions: complementing species distribution models with field experimentation
<p>This repository contains the files associated with the following article:</p> <p>Jesús Sandoval-Martínez, Ernesto I. Badano, Francisco A. Guerra-Coss, Jorge A. Flores Cano, Joel Flores, Sandra Milena Gelviz-Gelvez, Felipe Barragán-Torres, “Selecting tree species to restore forest under climate change conditions: complementing species distribution models with field experimentation”, submitted to <em>Journal of Environmental Management</em>.</p> <p><strong>Supplementary material 01 </strong>is a compressed file that contains two Microsoft Excel files with data that support the results of the study. A file correspond to <em>Vachellia pennatula</em> and the another file correspond to <em>Prosopis laevigata</em>. In both files, the first spreadsheet shows the occurrence data (latitude and longitude) used to calibrate the distribution model (SDM) of the corresponding species, the current values of the 19 bioclimatic variables associated with these coordinates and the Spearman correlation coefficients used to select the variables included in the SDM (selected variables are indicated in green). The second spreadsheet shows the current habitat occupancy probabilities of the target species estimated with the SDM at the geographic coordinates of occurrence points, while the table on the side shows the fraction of true presences dropping at the following probability categories: (1) habitat occupancy probabilities below 0.1 = unsuitable spatial units for the species, (2) habitat occupancy probabilities between 0.1 and 0.4 = barely suitable spatial units for the species, (3) habitat occupancy probabilities between 0.4 and 0.7 = moderately suitable spatial units for the species, and (4) habitat occupancy probabilities above 0.7 = highly suitable spatial units for the species. The third spreadsheet shows the one-thousand random geographic coordinates and the corresponding current and future habitat occupancy probabilities of each species. Future habitat occupancy probabilities are provided for three time periods (2041-2060, 2061-2080 and 2081-2100) at four radiative forcing levels each (2.6, 4.5, 7.0 and 8.5 W/m<sup>2</sup>).</p> <p><strong>Supplementary material 02 </strong>is a compressed file that contains a folder for <em>Vachellia pennatula</em> and another folder for <em>Prosopis laevigata</em>. Each of these folders contains the summaries of the MaxEnt outputs that support the results of the corresponding SDM.</p> <p><strong>Supplementary material 03 </strong>is a compressed Keyhole Markup Language file (KMZ) that contains interactive maps that are optimized for the desktop version of Google Earth. To accelerate visualization of maps, we recommend installing this software in a computer meeting the following requirements: CPU Intel Core i5 9<sup>th</sup> generation or higher, CPU clock speed 1.8 GHz or higher, random-access memory (RAM) 8 GB or higher, and video random access memory (VRAM) 1 GB or higher. Otherwise, opening this file may take several minutes. These maps are organized in a folder for <em>Vachellia pennatula</em> and another folder for <em>Prosopis laevigata</em>, which must be expanded for accessing the following information (click on the arrow on the left of folders to expand them):</p> <ul> <li><strong>Current climate </strong>– Activating this folder (click the fox on the left of the folder) display the map of habitat occupancy probabilities of species across Mexico under the current climate.</li> <li><strong>Period 2041-2060, 2061-2080 and 2081-2100 </strong>– Expanding each of these folders (click on the arrow on the left of folders) shows four subfolders that correspond to different radiative forcing levels (2.6, 4.5, 7.0 and 8.5 W/m<sup>2</sup>). Activating each of these sub folders (click the fox on the left of subfolders) display the map of habitat occupancy probabilities of species across Mexico expected on the corresponding time period and radiative forcing level. These maps also show the areas classified as climatically unsuitable in the multivariate environmental similarity surface (MESS) analysis. Clicking on the names of subfolders displays a figure showing the relationship between current and future habitat occupancy probabilities of the species on the corresponding time period and radiative forcing level. In these figures, the red line is the empirical relationship between these variables and the solid blue line is the theoretical relationship with intercept = 0 and slope = 1. The statistical results that support these relationships are also shown in these figures.</li> </ul> <p><strong>Supplementary material 04 </strong>is a compressed file that contains two Microsoft Excel files with data that support the results of the study. the file labeled as “Microclimate data” contains two spreadsheets, which correspond to the temperature and rainfall values measured in controls under the current climate and climate change simulation plots located of the field experiments. The file levelled as “Seedling emergence and survival” contains a spreadsheet for <em>Vachellia pennatula</em> and another one for <em>Prosopis laevigata</em>, which contains the data used to estimate the seedling emergence and survival rates in controls and climate change simulation plots.</p>
Niche partitioning overrides interspecific competition to determine plant species distributions along a nutrient gradient
<p>Changes in some combination of niche availability, niche overlap and the strength of interspecific interactions are thought to drive changes in plant composition along resource gradients. However, because these processes are difficult to measure in the field, their relative importance in driving compositional change in plant communities remains unclear. In an Australian temperate grassland, we added seeds of three native and three exotic grasses to 1,875 experimental plots in a way that allowed us to simultaneously estimate niche availability, niche overlap and the strength of pairwise interspecific interactions along a gradient of nutrient availability, obtained by adding 0, 5 or 20 g/m<sup>2</sup> each of nitrogen, phosphorous and potassium jointly to plots. Niche availability (the proportion of microsites suitable for establishment and growth) was generally low and did not vary in response to nutrient addition. Most species co-occurred along the nutrient gradient by partitioning the available niche space. Where species interacted due to niche overlap, the abundance of one species, the native <em>Chloris</em> <em>truncata</em>, was usually facilitated by other species, with each of the five other species increasing the niche availability to <em>C</em>. <em>truncata</em> under at least one nutrient treatment. <em>Chloris</em> <em>truncata</em> also competitively excluded two species from some but not all sites they could otherwise have occupied. These outcomes did not clearly differ across nutrient treatments. Our results show that fine-scale spatial heterogeneity in establishment microsites can enable species to co-occur via niche partitioning, and competitive exclusion is rare. This finding contributes to an emerging picture that niche partitioning is common and frequently a stronger influence on recruitment outcomes than interspecific competition. The importance of competition in structuring plant communities may be overestimated if recruitment processes are overlooked.</p>
Fig. 14 in On Brazilian Austrotinodes Schmid, 1955 (Insecta, Trichoptera, Ecnomidae): new species, new distributional records and an updated checklist
Fig. 14. Distribution map of the new species of Austrotinodes.
The role of growing degree-days in explaining moth species distributions at broad scales
<p>Growing degree-days (GDD), an estimate of an organism's growing season length, has been shown to be an important predictor of Lepidopteran species' distributions and could be influencing Lepidopteran range shifts to climate change. Yet, one understudied simplification in this literature is that the same thermal threshold is used in the calculations of GDD for all species instead of a species-specific threshold. By characterizing the phenological process influenced by climate, a species-specific estimate of GDD should improve the accuracy of species distribution models (SDMs). To test this hypothesis, we use published lab-estimated thermal thresholds and modeled the current geographic distribution of 30 moth species native to North America. We found that the predictive performance of models based on a species-specific estimate of GDD was indistinguishable from models based on a standard estimate of GDD. This is likely because GDD was not an important predictor of these species' distributions. Our findings suggest that lab-estimated thermal thresholds may not always scale up to be predictive at broad scales and that more work is needed to leverage the data from lab experiments into SDMs to accurately predict species' range shifts in response to climate change.</p>
Plant community formation and species distribution pattern in relation to environmental variables in Endiras Natural Forest, northwest Ethiopia
<p><span>The study was conducted in Endiras Forest, Northwest Ethiopia, so as to evaluate the effects of environmental variables on the patterns of plant community formation. A systematic random sampling technique was used to collect vegetation data from 56 (20 m x 20 m) plots laid at 100 m intervals on ten transects. In each plot, the species encountered and its percent cover abundance were recorded, which was later transformed into a modified Braun-Blanquet scale. The composite soil samples collected from 15 cm x 15 cm subplots were examined for 13 soil parameters. Communities were determined using cluster analysis. The Shannon-Wiener index was employed to quantify species diversity. The relationships between species and environmental variables were evaluated using Canonical Correspondence Analysis (CCA). Seventy three woody plant species, distributed in 38 families, were documented. Fabaceae was found to be the most species-rich family (21.9%). Five communities were generated from the cluster analyses that vary in diversity. Nine environmental variables were found to be significant in determining patterns of community formation (Pr< 0.05). Organic matter, pH, and altitude, highly correlated with CCA axis 1, are largely shaped the species distribution patterns. Various patterns of community formation demonstrate the need to design different conservation measures.</span></p>
Plant community formation and species distribution pattern in relation to environmental variables in Endiras Natural Forest, northwest Ethiopia
<p><span>The study was conducted in Endiras Forest, Northwest Ethiopia, so as to evaluate the effects of environmental variables on the patterns of plant community formation. A systematic random sampling technique was used to collect vegetation data from 56 (20 m x 20 m) plots laid at 100 m intervals on ten transects. In each plot, the species encountered and its percent cover abundance were recorded. The composite soil samples collected from 15 cm x 15 cm subplots were examined for 13 soil parameters. Communities were determined using cluster analysis. The Shannon-Wiener index was employed to quantify species diversity. The relationships between species and environmental variables were evaluated using CCA. Seventy three woody plant species, distributed in 38 families, were documented. Fabaceae was found to be the most species-rich family (21.9%). Five communities were generated from the cluster analysis. Nine environmental variables were found to be significant in determining patterns of community formation (Pr< 0.05). Organic matter, pH, and altitude are largely shaped the species distribution patterns. Various patterns of community formation demonstrate the need to design different conservation measures.</span></p>
The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages
<p>This is the datasets and R script for our manuscript titled "The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages."</p> <p><strong><em>Study area and sampling of Mecsek_species_Szivaketal.xlsx data</em></strong></p> <p>The study area is situated in the Mecsek Mountains in Hungary. Stream insects were collected using the kick and sweep sampling technique. A hand net with a frame width of 25 cm and a mesh size of 1000 µm was employed. The collection involved disturbing an area of 0.25 × 0.25 m. We employed a stratified random multihabitat sampling procedure. We collected 20 sample units from the major microhabitats in proportion to their occurrence within the reaches. Each sample unit was individually processed and sorted in the laboratory to ensure thorough and accurate analysis.</p> <p><strong>Disperse_trait_Szivaketal.xlsx </strong>data is based on DISPERSE database (Sarremejane et al., 2020)</p> <p>Methods for <strong>microhabitat_coverage_reach_transect.xlsx:</strong> Prior to sampling, we divided each 100 m long reach into 20 transects of comparable length and created microhabitat coverage maps. Using these maps, we assessed the proportionate coverage of different microhabitat types within each reach</p> <p>References:</p> <p>Sarremejane, R., Cid, N., Stubbington, R., Datry, T., Alp, M., Cañedo-Argüelles, M., Cordero-Rivera, A., Csabai, Z., Gutiérrez-Cánovas, C., Heino, J., Forcellini, M., Millán, A., Paillex, A., Pařil, P., Polášek, M., Tierno de Figueroa, J. M., Usseglio-Polatera, P., Zamora-Muñoz, C., & Bonada, N. (2020). DISPERSE, a trait database to assess the dispersal potential of European aquatic macroinvertebrates. <em>Scientific Data</em>,<em> 7(1), </em>386. https://doi.org/10.1038/s41597-020-00732-7</p>
Assessing the links between pollinators and the genetic and epigenetic features of plant species with contrasting distribution ranges
<p>In flowering plants, pollinators contribute to gene flow while they also respond to variation in plant traits together determined by genetic, epigenetic and environmental sources of variation. Consequently, a correlation between abundance and diversity of pollinators and the genetic and epigenetic characteristics of plant populations such as diversity or distinctiveness is expected. However, no study has explored these long-term dimensions of plant-pollinator interactions. Mediterranean narrow endemics often exhibit unexpectedly high levels of population genetic and epigenetic diversity. We hypothesize that pollinators may contribute to explain this pattern. Specifically, given the higher sensitivity of small, isolated population to gene flow, we expect a stronger association of pollinators with population genetic and epigenetic variability in narrow endemics than in widely distributed congeners. We studied five pairs of congeneric plant species, consisting of one narrow endemic with a restricted distribution and one widespread congener, found in the Sierra de Cazorla mountains (SE Spain). We characterized the pollinators in up to three populations per species to estimate their diversity and visitation rates. Additionally, we calculated the genetic and epigenetic diversity and distinctiveness of each population using AFLP markers and methylation-sensitive AFLP markers (MSAP), respectively. We assessed the relationship between pollinator diversity and visitation rates. The diversity of pollinators did not vary according to the plant´s distribution range, but visitation rate was higher in widespread species. As predicted, only narrow endemics showed a significant association between pollinators and their population genetic and epigenetic characteristics. Specifically, higher pollinator diversity and visitation rates entailed higher population genetic diversity and lower epigenetic distinctiveness. This work shows the importance of investigating the relationship between pollinator diversity and population genetics and epigenetics to better understand the evolution of plant rarity.</p>
299 in Catalogue of the amphibians of Venezuela: Illustrated and annotated species list, distribution, and conservation
299. Potomotyphlus kaupii. Caroni river, Bolívar. Photo: Fernando Rojas-Runjaic.
289 in Catalogue of the amphibians of Venezuela: Illustrated and annotated species list, distribution, and conservation
289. Bolitoglossa cf. altamazonica. Doradas river valley. Photo: César Barrio-Amorós.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.