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7,849 results for “Conservancy”
Conservation implications of herbicides on seagrasses: sublethal glyphosate exposure decreases fitness in the endangered Zostera capensis
<p>Dataset containing morphological, biomass and chlorophyll responses of the seagrass, Zostera capensis, to sublethal glyphosate exposure over a 3 week exposure period.</p>
Fig. 1 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 1. Updated global distribution of Birgus latro (Linnaeus, 1767).
Fig. 3 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 3. Updated distribution of Birgus latro (Linnaeus, 1767) in the Pacific Ocean region.
Fig. 2 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 2. Updated distribution of Birgus latro (Linnaeus, 1767) in the Indian Ocean region.
Figure 2 in Reproduction phenology of a high conservation priority cracid - the Bare-faced Curassow (Crax fasciolata; Aves, Galliformes, Cracidae)
Figure 2. Sampling effort (y-axis) in SESC Baía das Pedras Park (northern Pantanal, Mato Grosso State, Brazil) expressed in days per month (x-axis) for different years (2015, 2016, and 2017) is represented by stacked bars. The presence of Bare-faced Curassow (Crax fasciolata) offspring is represented by the shapes on the x-axis. The triangle represents their presence during surveys in 2016, and the circle represents those in 2017.
Figure 1 in Reproduction phenology of a high conservation priority cracid - the Bare-faced Curassow (Crax fasciolata; Aves, Galliformes, Cracidae)
Figure 1. Orthophoto of SESC Baía das Pedras Park (northern Pantanal, Mato Grosso State, Brazil) and associated sampling locations in a 1 km square grid (numbers). Orange circles represent sampling locations where family groups (parent(s) with offspring) of the Bare-faced Curassow (Crax fasciolata) were captured with camera traps. Gold circles represent sampling locations where only adults were captured, while white circles represent those where no BFC was captured.
Figure 1 in Bats (Mammalia, Chiroptera) from Yuscarán in Eastern Honduras: Conservation and acoustic characterization for the insectivorous species
Figure 1. Geographic location of the study sites in the Yuscarán Biological Reserve and Municipality of Yuscarán, Department of El Paraíso, Honduras, Central America. Geographic coordinates and other details are in Table 1.
Figure 4 in Bats (Mammalia, Chiroptera) from Yuscarán in Eastern Honduras: Conservation and acoustic characterization for the insectivorous species
Figure 4. Echolocation pulses of aerial insectivorous bats. Spectrograms (bottom) and oscillograms (top) correspond to search calls. X axis milliseconds (ms) and Y axis Kilohertz (kHz). Emballonuridae: (BPl) B. plicata, (PMA) P. macrotis; Molossidae: (MAL) M. alvarezi, (MNI) M. nigricans, (MMO) M. molossus. Mormoopidae: (PFU) P. fulvus, (PGY) P. gymnonotus, (PME) P. mesoamericanus, (PPS) P. psilotis. Vespertilionidae: (NIG) M. nigricans, (BRA) E. brasiliensis, (FUR) E. furinalis, (FUS) E. fuscus.
Figure 3 in Bats (Mammalia, Chiroptera) from Yuscarán in Eastern Honduras: Conservation and acoustic characterization for the insectivorous species
Figure 3. Part of the bat species captured with mist nets, in the Yuscarán Biological Reserve and Municipality of Yuscarán, Department of El Paraíso, Honduras, Central America. (A) M. megalophylla; (B) D. rotundus; (C) L. aurita; (D) P. discolor; (E) A. geoffroyi; (F) G. leachii; (G) G. mutica; (H) C. perspicillata; (I) A. jamaicensis; (J) A. lituratus; (K) C. salvini; (L) D. azteca; (M) D. phaeotis; (N) S. hondurensis; (O) S. parvidens; (P) E. fuscus. Photos: (C) D.J.M.Q.; (A-P) W.N.G.C.
Figure 2 in Bats (Mammalia, Chiroptera) from Yuscarán in Eastern Honduras: Conservation and acoustic characterization for the insectivorous species
Figure 2. Species accumulation curve using mist nets, in the Yuscarán Biological Reserve and Municipality of Yuscarán, Department of El Paraíso, Honduras, Central America.
Figure 1 in Checklist of the birds of Mato Grosso do Sul state, Brazil: diversity and conservation
Figure 1. Localities with ornithological inventories in Mato Grosso do Sul state.The black circle corresponds to different sample sites, whose geographic coordinates can be found in Table S1. Image: Ivana Cardoso.
Figure 1 in Birds of the Pantanal floodplains, Brazil: historical data, diversity, and conservation
Figure 1. Localities with ornithological inventories in Pantanal wetland.The circles correspond to different sample sites, whose geographic coordinates can be found in Table S1. The dark gray spots correspond to burned areas in 2020 fire gray spots correspond to burned areas in 2020 fire according to ALARMES-HISTÓRICO (LASA/ UFRJ, 2021; Pinto et al., 2020).
Figure 21 in Breeding behavior, distribution, and conservation of the Sharp-tailed Tyrant Culicivora caudacuta (Vieillot, 1818) (Aves: Tyrannidae), a South American grassland specialist
Figure 21. Records of Culicivora caudacuta. Yellow stars indicate museum specimens, dots indicate other categories of records. See Appendix 1 for details.
Figure 22 in Breeding behavior, distribution, and conservation of the Sharp-tailed Tyrant Culicivora caudacuta (Vieillot, 1818) (Aves: Tyrannidae), a South American grassland specialist
Figure 22. Culicivora caudacuta habitat occupation by Eucalyptus sp. monoculture, Araxá, Ribeirão do Inferno (07 May 2014). Photo: RSS.
Figure 1 in Breeding behavior, distribution, and conservation of the Sharp-tailed Tyrant Culicivora caudacuta (Vieillot, 1818) (Aves: Tyrannidae), a South American grassland specialist
Figure 1. Adult Sharp-tailed Tyrant Culicivora caudacuta, (11 October 2011), Patrocínio, Minas Gerais, Brazil. Photo: RSS.
Figure 20 in Breeding behavior, distribution, and conservation of the Sharp-tailed Tyrant Culicivora caudacuta (Vieillot, 1818) (Aves: Tyrannidae), a South American grassland specialist
Figure 20. Specimen of young Culicivora caudacuta at Zoologische Staatssammlung München. Photo: Markus Unsöld.
Raw data for: Novel food resources and conservation of ecological interactions between the Andean Araucaria and the Austral parakeet
<p><span>In fragile ecosystems, the introduction of exotic species could alter some ecological processes. The Austral parakeet (<em>Enicognathus</em> <em>ferrugineous</em>) shows close ecological and evolutionary relationships with the Andean Araucaria (<em>Araucaria</em> <em>araucana</em>), so any alteration in these interactions may have negative consequences for both partners and for ecosystem functioning and structure. We conducted extensive roadside surveys to estimate the abundance of parakeets in the northern Patagonian Andes over four years and recorded the food plants consumed by foraging flocks. The use of native habitats and humanized areas like villages and farms was influenced by Araucaria seed crop. In masting years, the large seed crop allowed a massive use of this resource during the non-breeding season, and even during the breeding season. The exploitation of exotic plants was minor in the masting year, but became predominant in non-masting years, especially during the non-breeding season. This feeding switch towards exotic plants primarily arose because the low Araucaria seed crop in non-masting years is entirely consumed just after production by domestic and wild exotic mammals living in Araucaria forests year-round, thus forcing the displacement of parakeets towards anthropic habitats to exploit exotic plants. Given the degradation of the remaining Andean Araucaria forests due to the impact of exotic mammals on the ecological interaction between Araucaria and Austral parakeets, ambitious programs to exclude or reduce the density of these alien mammals, including livestock, are warranted. </span></p>
Re-evaluating coho salmon (Oncorhynchus kisutch) conservation units in Canada using genomic data
<p><span>Conservation units (CUs) are important tools for supporting the implementation of standardized management practices for exploited species. Following the adoption of the Wild Salmon Policy in Canada, CUs were defined for Pacific salmon based on characteristics related to ecotype, life history, and genetic variation using microsatellite markers as indirect measures of local adaptation. Genomic datasets have the potential to improve the definition of CUs by reducing variance around estimates of population genetic parameters, thereby increasing the power to detect more subtle patterns of population genetic structure and by providing an opportunity to incorporate adaptive information more directly with the identification of variants putatively under selection. We used one of the largest genomic datasets recently published for a non-model species, comprising 5,662 individual Coho salmon (<em>Oncorhynchus kisutch</em>) from 149 sampling locations and a total of 24,542 high-quality SNPs obtained using genotyping-by-sequencing and mapped to the Coho salmon reference genome to 1) evaluate the current delineation of CUs for Coho in Canada and 2) compare patterns of population structure observed using neutral and outlier loci from genotype-environment association analyses to determine whether separate CUs that capture adaptive diversity are needed. Our results reflected CU boundaries on the whole, with the majority of sampling locations managed in the same CU clustering together within genetic groups. However, additional groups not currently represented by CUs were also uncovered. We observed considerable overlap in the genetic clusters identified using neutral or candidate loci, indicating a general congruence in patterns of genetic variation driven by local adaptation and gene flow in this species. Consequently, we suggest that the current CU boundaries for Coho salmon are largely well-suited for meeting the Canadian Wild Salmon Policy's objective of defining biologically distinct groups, but we highlight specific areas where CU boundaries may be refined.</span></p>
Collection of wing images for conservation of honey bees (Apis mellifera) biodiversity in Europe
<p>Identification of honey bee (<em>Apis mellifera</em>) from various parts of the world is essential for protection of their biodiversity. The identification can be based on wing measurements which is inexpensive and easy available. In order to develop such identification there are required reference samples from various parts or the world.</p> <p>We provide collection of 26481 honey bee fore wing images from 13 countries in Europe: Austria (AT), Croatia (HR), Greece (GR), Moldova (MD), Montenegro (ME), Poland (PL), Portugal (PT), Romania (RO), Serbia (RS), Slovenia (SI), Spain (ES), Turkey (TR). For each country there are three files starting with the two letter country code (indicated earlier in the parentheses): XX-wing-images.zip, XX-raw-coordinates.csv and XX-data.csv, which contain wing images, raw landmark coordinates and geographic coordinates, respectively. Files with prefix EU contain combined data from all countries.</p> <p>The resolution of the wing images was provided in pixels per meter. If the resolution was not provided it is not known. In those cases only wing shape and not wing size can be analyzed. </p> <p>For analysis of the dataset see:</p> <p>Oleksa, A., Căuia, E., Siceanu, A., Puškadija, Z., Kovačić, M., Pinto, M. A., Rodrigues, P. J., Hatjina, F., Charistos, L., Bouga, M., Prešern, J., Kandemir, İ., Rašić, S., Kusza, S., Tofilski, A. (2023). Honey bee (<em>Apis mellifera</em>) wing images: a tool for identification and conservation. GigaScience, 12, giad019. <a href="https://doi.org/10.1093/gigascience/giad019">https://doi.org/10.1093/gigascience/giad019</a></p> <p>Oleksa, A., Căuia, E., Siceanu, A., Puškadija, Z., Kovačić, M., Pinto, M. A., Rodrigues, P. J., Hatjina, F., Charistos, L., Bouga, M., Prešern, J., Kandemir, I., Rašić, S., Kusza, S., Tofilski, A. (2023). Apis-wings-EU. WorkflowHub. <a href="https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.422.1">https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.422.1</a></p>
Diversity and conservation of endemic true bugs for four family groups in China
<p class="MsoNormal"><strong><span>Aim:</span></strong><span> Protected areas in China have typically been designed by considering one or several focal taxa (e.g., relict plant and vertebrate species), but the effectiveness of these "protective umbrellas" in safeguarding insects remains unclear. In this study, we aim to investigate the distribution and diversity of endemic true bugs for four family groups (i.e., </span><span>Miridae, Lygaeoidea, Pentatomidae, and Reduviidae</span><span>) in China, the environment factors shaping these diversity patterns, as well as the effectiveness of China's protected areas (PAs) in safeguarding their diversity. </span></p> <p class="MsoNormal"><strong><span>Location: </span></strong><span>China.</span></p> <p class="MsoNormal"><strong><span>Methods:</span></strong><span> We mapped the spatial distributions of 1028 endemic true bugs in China using stacked species distribution models and pixel grids of observed points. Environment factors that influence diversity patterns across China were explored by generalized linear models and random forest models. The effectiveness of PAs in safeguarding species distribution was evaluated by the Zonation platform.</span></p> <p class="MsoNormal"><strong><span>Results:</span></strong><span> We found that </span><span>most (84.9%) diversity hotspots for total species located in mountainous areas of southern China. Additionally, the diversity pattern is shaped by the combined effects of different environment factors, with the minimum temperature of the coldest month, annual precipitation and elevation showing the strongest effects. On average, Chinese PAs covered 10.2% distribution areas of these endemic true bugs. </span></p> <p class="MsoNormal"><strong><span>Main conclusions: </span></strong><span>In general, our research identifies the important roles of mountainous areas in southern China</span><span> in maintaining the species diversity. Moreover, our research also suggests that PAs in China couldn't provide sufficient protection for this diversity. Protecting these endemic true bugs diversity should be valued more in southern China's mountainous areas.</span></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)
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DANDI Archive for NWB datasets
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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.