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7,849 results for “Conservancy”
Figure 1 in Bats (Mammalia: Chiroptera) from two priority areas for biodiversity conservation in the Brazilian Amazon and range extension for Carollia benkeithi (Phyllostomidae)
Figure 1: Map of South America showing the Mamirauá and Amanã Sustainable Development Reserves in Amazonas state, Brazil.
Figure 5 in Bats (Mammalia: Chiroptera) from two priority areas for biodiversity conservation in the Brazilian Amazon and range extension for Carollia benkeithi (Phyllostomidae)
Figure 5: Skull of Micronycteris sp. (MPEG 37789, female). (A) Lateral view of the skull shows the developed maxillary premolars; (B) dorsal skull view; (C) maxillary external incisors visible to the naked eye (arrow); and (D) lateral views of mandible. Scale bar: 5 mm.
Figure 3 in Bats (Mammalia: Chiroptera) from two priority areas for biodiversity conservation in the Brazilian Amazon and range extension for Carollia benkeithi (Phyllostomidae)
Figure 3: Skull of Carollia benkeithi (MPEG 37664, female). Skull shown in (A) dorsal and (B) ventral views; (C) left lateral view of the skull, the arrow indicates the cingulum of the last maxillary premolar; and (D) left lateral mandible, the arrow indicates the pm2 greater than the m1. Scale bar: 5 mm.
Figure 2 in Bats (Mammalia: Chiroptera) from two priority areas for biodiversity conservation in the Brazilian Amazon and range extension for Carollia benkeithi (Phyllostomidae)
Figure 2: Geographic distribution of Carollia benkeithi (sensu McLellan and Koopman 2007) and new records (yellow stars), extending it ca. 590 km northwestward. Black dots are records recently published for eastern Pará state, Brazil (Lemos et al. 2020).
Figure 7 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)
Figure 7: Adult roadkilled hyaenas in Batna (Algeria) during the study period on the national road 3: (A) January, (B) December 2018, (C) October 2020, (D) December 2020 (FCB reports).
Figure 6 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)
Figure 6: Response curves plot generated by MaxEnt that show how each environmental variable affects the MaxEnt prediction: (A) shrubland, (B) slope, (C) built-up areas, (D) distance to roads.
Figure 5 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)
Figure 5: Jacknife test for the relative importance of environmental variables in the development of the MaxEnt model for the hyaena.
Figure 4 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)
Figure 4: Habitat suitability for hyaena in Batna, Algeria. The model is based on occurrence records and seven environmental variables. Warmer colours represent the most suitable habitats. The probability of species occurrence ranges from 0 (unsuitable) to 1 (most suitable).
Figure 2 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)
Figure 2: Direct sightings of the hyaena in Batna: (A) Natal den with four hyaenas (one adult and three sub-adults) observed in the central south part of Batna (photo: Tahar Mebarki); (B) Hyaena captured on camera trap in northern Batna (photo: Hakim Benmokhtar).
Figure 1 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)
Figure 1: Map of the study area, showing the location of Batna in Algeria, and the limits of the Belezma National Park (BNP) (ALOS World 3D 30-m DEM. V3.2).
FIGURE 4 in Eighty years later: a new Neotropical species of Megalopelma Enderlein (Mycetophilidae) from the Cerrado and its conservation units
FIGURE 4. Megalopelma lopesi sp. nov. Female. PEAMP, Trilha do Tamanduá. -16.553250 -49.131511, (18.i.2023–16.ii.2023). A. Habitus, lateral view. B. Detailed view of habitus, lateral view. C. Habitus, dorsal view. D. Head, dorsal view. E. Genitalia, ventral view. F. Genitalia, lateral view.
FIGURE 1 in Eighty years later: a new Neotropical species of Megalopelma Enderlein (Mycetophilidae) from the Cerrado and its conservation units
FIGURE 1. Distribution map of Megalopelma Enderlein in Brazil, showing the 1,200 km distance between M. lopesi sp. nov. and the genus type. Abbreviations: PNE, Parque Nacional das Emas; PEP, Parque Estadual dos Pirineus; PEAMP, Parque Estadual Altamiro de Moura Pacheco; FLONA, Silvânia Floresta Nacional de Silvânia.
FIGURE 3 in Eighty years later: a new Neotropical species of Megalopelma Enderlein (Mycetophilidae) from the Cerrado and its conservation units
FIGURE 3. Megalopelma lopesi sp. nov. Male. PEAMP, Trilha do Tamanduá. -16.553250 -49.131511, (18.i.2023–16.ii.2023). A. Habitus, lateral view. B. Detailed view of habitus, lateral view. C. Habitus, dorsal view. D. Head, dorsal view. E. Habitus, ventral view. F. Genitalia, lateral view.
FIGURE 2. Megalopelma planiceps Enderlein, 1910 in Eighty years later: a new Neotropical species of Megalopelma Enderlein (Mycetophilidae) from the Cerrado and its conservation units
FIGURE 2. Megalopelma planiceps Enderlein, 1910. The female type housed at the Polish Academy of Science (courtesy of Dalton de Souza Amorim). A: Wing slide of the female type, not pinned together with the specimen. B: Type labels with the female type in micropin; C: Habitus, lateral view; D: Habitus, dorsal view; E: Wing.
FIGURE 5 in Eighty years later: a new Neotropical species of Megalopelma Enderlein (Mycetophilidae) from the Cerrado and its conservation units
FIGURE 5. Megalopelma lopesi sp. nov. mounted in permanent slide, PNE, 15.i.2016–20.ii.2016, specimens in slide. A. Male habitus before dissection, holotype. B. Female habitus before dissection, paratype. C. Wing detail, female paratype. D. Female genitalia, ventral view, paratype. E. Male genitalia, ventral view, holotype. F. Male gonostyle, ventral view, holotype. Abbreviations: h—humeral vein; Sc—subcostal vein; C—costal vein; Rs—radial sector; sc-r—subcostal-radial crossvein; R1—anterior branch of radius; R2+3—second branch of radius; R 4+5 —third branch of radius; r-m—radial-medial crossvein; M1—first branch of media; M2—second branch of media; M4—fourth branch of media; M-fork—medial vein fork; aed— aedeagus; goncx—gonocoxite; gonst—gonostyle; goncx apod—gonocoxite apodeme; cerc—cercus; pm—parameres; pm apod—parameres apodeme; S—sternite; T—tergite.
Towards the conservation of Brazilian legumes: Summary, land cover and use analytics, and a comparative analysis of locations count methods (curated vs. automated [buffer-dissolution])
<p>This dataset presents key findings from the study "<strong>Automating and Enhancing Species Extinction Risk Assessments with Historical Land Use and Land Cover Data</strong>."</p> <p>The file `<em>summary-threatened-legume-species.ods</em>` provides a summary of all threatened species of the Leguminosae family native to Brazil, including IUCN category and criteria, location counts, and the year of the latest assessment, sourced from official records. Additionally, it includes calculated values for Area of Occupancy (AOO) and Extent of Occurrence (EOO), along with trend data indicating natural area change rates (decline [positive number, red] or growth [negative number, green]) within both AOO and EOO. Location counts are further detailed across various buffer radii (1-5 km), utilizing a buffer-dissolution method for automated location counting. Each buffer radius is analyzed to assess AOO and EOO decline, where '1' indicates a species is threatened and '0' indicates it is not. This data provides an efficient method for screening threatened species under criterion B of the IUCN Red List guidelines.</p> <p>The file `<em>overlay-analysis.ods</em>` contains overlay analysis results for AOO and EOO of each species using MapBiomas land use and land cover (LULC) data (specifically MapBiomas Brazil, collection 7.1) from 1985 to 2021, covering all threatened legume species. This file provides both absolute area in square kilometers and percentages for each LULC class. The overlay analysis results support estimates of growth and decline trends for each LULC class.</p> <p>The file `<em>trend-analysis.ods</em>` presents results of annual rate estimates from trend analysis across LULC classes, and including both natural and anthropic groupings. A complete JSON database with p-values and R² values is provided in `<em>trend-analysis.json</em>`.</p> <p>This approach, combining all results for each species in a comprehensive, merged dataset, allows for effective filtering and ranking of the most threatened species as well as identification of their primary threats.</p> <p>We recommend opening the ODS files with LibreOffice, as Microsoft Excel may experience issues parsing decimal formats accurately.</p> <p>More detailed maps and graphs are available at <a title="LULC-MapBiomas-Leguminosae" href="https://github.com/lsbjordao/LULC-MapBiomas-Leguminosae" target="_blank" rel="noopener">https://github.com/lsbjordao/LULC-MapBiomas-Leguminosae</a>.</p>
Data from: Single nucleotide polymorphisms across a species' range: implications for conservation studies of Pacific salmon
Studies of the oceanic and near-shore distributions of Pacific salmon, whose migrations typically span thousands of kilometers, have become increasingly valuable in the presence of climate change, increasing hatchery production, and potentially high rates of bycatch in offshore fisheries. Genetics data offer considerable insights into both the migratory routes as well as the evolutionary histories of the species. However, these types of studies require extensive datasets from spawning populations originating from across the species? range. Single nucleotide polymorphisms (SNPs) have been particularly amenable for multi-national applications because they are easily shared, require little inter-laboratory standardization, and can be assayed through increasingly efficient technologies. Here we discuss the development of a dataset for 114 populations of chum salmon through a collaboration among North American and Asian researchers, termed PacSNP. PacSNP is focused on developing the database and applying it to problems of international interest. A dataset spanning the entire range of species provides a unique opportunity to examine patterns of variability, and we review issues associated with SNP development. We found evidence of ascertainment bias within the dataset, variable linkage relationships between SNPs associated with ancestral groupings, and outlier loci with alleles associated with latitude.
Data from: Population structure of riverine and coastal dolphins Sotalia fluviatilis and Sotalia guianensis: PATTERNS of nuclear and mitochondrial diversity AND implications for conservation
Coastal and freshwater cetaceans are particularly vulnerable due to their proximity to human activity, localized distributions and small home ranges. These species include Sotalia guianensis, found in the Atlantic and Caribbean coastal areas of central and South America, and Sotalia fluviatilis, distributed in the Amazon River and tributaries. We investigated the population structure and genetic diversity of these two species by analyses of mtDNA control region and 8-10 microsatellite loci. MtDNA analyses revealed strong regional structuring for S. guianensis (i.e. Colombian Caribbean vs. Brazilian Coast, FST= 0.807, ΦST = 0.878, P <0.001) especially north and south of the Amazon River mouth. For S. fluviatilis, population structuring was detected between the western and eastern Amazon (i.e. Colombian Amazon vs. Brazilian Amazon, FST= 0.085, ΦST = 0.277, P <0.001). Haplotype and nucleotide diversity were higher for S. fluviatilis. Population differentiation was supported by analysis of the microsatellite loci (S. guianensis, northern South America vs. southern South America FST= 0.275, Jost´s D = 0.476, P<0.001; S. fluviatilis, western and eastern Amazon FST= 0.197, Jost´s D = 0.364, P<0.001). Most estimated migration rates in both species overlapped with zero, suggesting no measurable migration between most of the sampling locations. However, for S. guianensis, there was measurable migration in neighboring sampling locations. These results indicate that the small home ranges of these species may act to restrict gene flow between populations separated by relatively short distances, increasing the risk of extirpation of some localized populations in the future if existing threats are not minimized.
Data from: Heterochronic shifts and conserved embryonic shape underlie crocodylian craniofacial disparity and convergence
The distinctive anatomy of the crocodylian skull is intimately linked with dietary ecology, resulting in repeated convergence on blunt- and slender-snouted ecomorphs. These evolutionary shifts depend upon modifications of the developmental processes which direct growth and morphogenesis. Here we examine the evolution of cranial ontogenetic trajectories to shed light on the mechanisms underlying convergent snout evolution. We use geometric morphometrics to quantify skeletogenesis in an evolutionary context and reconstruct ancestral patterns of ontogenetic allometry to understand the developmental drivers of craniofacial diversity within Crocodylia. Our analyses uncovered a conserved embryonic region of morphospace (CER) shared by all non-gavialid crocodylians regardless of their eventual adult ecomorph. This observation suggests the presence of conserved developmental processes during early development (before Ferguson stage 20) across most of Crocodylia. Ancestral state reconstruction of ontogenetic trajectories revealed heterochrony, developmental constraint, and developmental systems drift have all played essential roles in the evolution of ecomorphs. Based on these observations, we conclude that two separate, but interconnected, developmental programs controlling craniofacial morphogenesis and growth enabled the evolutionary plasticity of skull shape in crocodylians.
Data from: Social and genetic population structure of free-ranging cheetah in Botswana: implications for conservation
Once widely distributed throughout Africa, cheetahs (Acinonyx jubatus) occur today within fragmented populations and are listed as vulnerable by the IUCN. Botswana currently hosts the second largest cheetah population throughout the species' range. This study initiated a molecular genetic survey of wild Botswana cheetah populations. It focused on the relatedness within presumed social groups using 14 microsatellite markers and revealed a higher proportion of unrelated male coalitions than was expected. Based on the unrelated cheetahs only, the estimation of the genetic variation corresponded with results from recent studies on different African populations. The analysis of unrelated individuals indicated limited genetic differentiation between cheetahs from different regions of Botswana. This suggests that the Botswana cheetah population might represent a unique panmictic population as long as sufficient levels of gene flow are maintained within the distribution range. This baseline information will now be incorporated to develop management strategies and set priorities for cheetah conservation in Botswana.
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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.