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99 results for “Conservation unit”
Figure 3 in Natural regeneration in Atlantic Forest Fragments: using ants (Hymenoptera: Formicidae) for monitoring a conservation unit
Figure 3. Non-metric multidimensional scaling (NMDS) Bray-Curtis type for the areas with 1-4 years (grey), 7-12 years (light green), and 14 years (dark green). (Anosim = 0,0001).
Figure 2 in Natural regeneration in Atlantic Forest Fragments: using ants (Hymenoptera: Formicidae) for monitoring a conservation unit
Figure 2. The number of occurrences of trophic guilds along the regeneration gradient in areas of Eucalyptus sp.: 1-4 years (no understory), located in the buffer zone of RPPN Botujuru – Serra do Itapety; 7-12 years (with an understory composed of shrubby vegetation), and 14 years (with an understory displaying both shrubby and arboreal vegetation).
Data for: Population structure of a grassland songbird (Dolichonyx oryzivorus) to inform conservation units
<p>Understanding the patterns and processes driving population structure is crucial for conservation planning. Spatial conservation units (CUs) for one or more species have been defined using similarities in communities, habitats, and resource management concerns. Additionally, CU boundaries can be informed by population genetic structure. Here, we determined the population structure of the Bobolink (<em>Dolichonyx</em> <em>oryzivorus</em>), a migratory grassland bird. Its breeding range spans longitudinally across most of North America in the northern U.S. and southern Canada, and its population has declined by 59% from 1971 to 2014. We sampled blood from Bobolinks at seven breeding sites and used a ddRAD sequencing approach to identify 3236 SNPs for population genetic analyses. Using the Bayesian clustering approach, STRUCTURE, we found low levels of genetic differentiation across the breeding range. F st values ranged from 0.002 to 0.036 among all population pairs, and genetic structure followed an isolation-by-distance model. Despite low levels of genetic differentiation, we found evidence for four genetic groupings— breeding populations in Oregon and British Columbia were distinct from each other as well as from Central and eastern North American breeding populations. Investigating the demographic history of the populations using approximate Bayesian computation, we found evidence that western Bobolink populations are not relict populations but instead were founded during a recent westward range expansion, possibly enabled by agricultural expansion. We identify four genetics-based CUs that may serve as a complementary spatial framework, broader in scale compared to the commonly-used Bird Conservation Regions, for defining and achieving population objectives.</p>
Data from: Choice of prioritization method impacts recommendations for climate-informed bird conservation in the United States
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Data from: Population structure of mtDNA variation due to Pleistocene fluctuations in the South American maned wolf (Chrysocyon brachyurus, Illiger, 1815): management units for conservation
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Multifaceted framework for defining conservation units: An example from Atlantic salmon (Salmo salar) in Canada
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Data from: Multispecies conservation of freshwater fish assemblages in response to climate change in the southeastern United States
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Data from: Genetic diversity and conservation status of Helianthus verticillatus, an endangered sunflower of the Southern United States
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Mapping multiscale breeding bird species distributions across the United States and evaluating their conservation applications
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Population genetics of caribou in the Alaska-Yukon border region: implications for designation of conservation units and small herd persistence
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Data from: Combining spatial, genetic, and environmental risk data to define and prioritize in situ conservation units
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Data from: Integrating population genetics to define conservation units from the core to the edge of Rhinolophus ferrumequinum western range
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Re-evaluating coho salmon (Oncorhynchus kisutch) conservation units in Canada using genomic data
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Data for: Population structure of a grassland songbird (Dolichonyx oryzivorus) to inform conservation units
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Data for: High-resolution land value maps reveal underestimation of conservation costs in the United States
<p>The justification and targeting of conservation policy rests on reliable measures of public and private benefits from competing land uses. Advances in Earth system observation and modeling permit the mapping of public ecosystem services at unprecedented scales and resolutions, prompting new proposals for land protection policies and priorities. Data on private benefits from land use are not available at similar scales and resolutions, resulting in a data mismatch with unknown consequences. Here I show that private benefits from land can be quantified at large scales and high resolutions, and that doing so can have important implications for conservation policy models. I develop the first high-resolution estimates of fair market value of private lands in the contiguous United States by training tree-based ensemble models on 6 million land sales. The resulting estimates predict conservation cost with up to 8.5 times greater accuracy than earlier proxies. Studies using coarser cost proxies underestimated conservation costs, especially at the expensive tail of the distribution. This might have led to underestimations of policy budgets by factors of up to 37.5 in recent work. More accurate cost accounting will help policy makers acknowledge the full magnitude of contemporary conservation challenges, and can assist with the targeting of public ecosystem service investments.</p>
Data from: Patterns of genetic differentiation at MHC class I genes and microsatellites identify conservation units in the giant panda
Background: Evaluating patterns of genetic variation is important to identify conservation units (i.e., evolutionarily significant units [ESUs], management units [MUs], and adaptive units [AUs]) in endangered species. While neutral markers could be used to infer population history, their application in the estimation of adaptive variation is limited. The capacity to adapt to various environments is vital for the long-term survival of endangered species. Hence, analysis of adaptive loci, such as the major histocompatibility complex (MHC) genes, is critical for conservation genetics studies. Here, we investigated 4 classical MHC class I genes (Aime-C, Aime-F, Aime-I, and Aime-L) and 8 microsatellites to infer patterns of genetic variation in the giant panda (Ailuropoda melanoleuca) and to further define conservation units. Results: Overall, we identified 24 haplotypes (9 for Aime-C, 1 for Aime-F, 7 for Aime-I, and 7 for Aime-L) from 218 individuals obtained from 6 populations of giant panda. We found that the Xiaoxiangling population had the highest genetic variation at microsatellites among the 6 giant panda populations and higher genetic variation at Aime-MHC class I genes than other larger populations (Qinling, Qionglai, and Minshan populations). Differentiation index (FST)-based phylogenetic and Bayesian clustering analyses for Aime-MHC-I and microsatellite loci both supported that most populations were highly differentiated. The Qinling population was the most genetically differentiated. Conclusions: The giant panda showed a relatively higher level of genetic diversity at MHC class I genes compared with endangered felids. Using all of the loci, we found that the 6 giant panda populations fell into 2 ESUs: Qinling and non-Qinling populations. We defined 3 MUs based on microsatellites: Qinling, Minshan-Qionglai, and Daxiangling-Xiaoxiangling-Liangshan. We also recommended 3 possible AUs based on MHC loci: Qinling, Minshan-Qionglai, and Daxiangling-Xiaoxiangling-Liangshan. Furthermore, we recommend that a captive breeding program be considered for the Qinling panda population.
Data from: The fifth review of Birds of Conservation Concern in the United Kingdom, Channel Islands and Isle of Man and second IUCN Red List assessment of extinction risk of birds for Great Britain
<p>The fifth review of <i>Birds of Conservation Concern</i> (<i>BoCC5</i>) in the UK, Channel Islands and Isle of Man assessed and assigned 245 species to updated Red, Amber and Green lists of conservation concern and showed a continuing decline in the status of our bird populations. In total, 70 species (29% of those assessed) are now on the Red list, up from 36 species in the first review in 1996. Since the last review, in 2015, Golden Oriole <i>Oriolus oriolus</i> has been lost as a breeding species. Eleven species have been moved to the Red list, while only six species moved from Red to Amber. Newly Red-listed species include Common Swift <i>Apus apus</i>, Common House Martin <i>Delichon urbicum</i>, Greenfinch <i>Chloris chloris</i> and the globally threatened Leach's Storm-petrel <i>Hydrobates leucorhous</i>. There has been no improvement in the overall status of species associated with farmland and upland, or Afro-Palearctic migrants; indeed, more such species have been Red-listed. Concerns over the status of our wintering wildfowl and wader populations have also increased. As a direct result of targeted conservation action, White-tailed Eagle <i>Haliaeetus albicilla</i> moves from Red to Amber.</p> <p>We also present a review of the separate, and distinct, second IUCN Regional Red List assessment of extinction risk for Great Britain, which show that 46% of 235 regularly occurring species, and 43% of 285 separate breeding and non-breeding populations, are assessed as being threatened with extinction from Great Britain.</p>
FIGURE 4 in Fabaceae Lindl. in a Conservation Unit in the Semi-Arid Region of Paraíba, Brazil
FIGURE 4. Species of Fabaceae Lindl. of the study area, Pico do Jabre State Park, Paraíba, Brazil. a Chamaecrista nictitans. b Anadenanthera colubrina. c Chamaecrista zygophylloides. d Albizia polycephala. e Senna macranthera. f Mimosa invisa. g Senna rizzinii. h Calliandra subspicata. i Enterolobium contortisiliquum. j Senna martiana. (Source: the authors).
FIGURE 3 in Fabaceae Lindl. in a Conservation Unit in the Semi-Arid Region of Paraíba, Brazil
FIGURE 3. Species of Fabaceae Lindl. of the study area, Pico do Jabre State Park, Paraíba, Brazil. a Centrosema brasilianum. b Platymiscium floribundum. c Macropsychanthus grandiflorus d Centrosema sagittatum. e Ancistrotropis peduncularis. f Poecilanthe grandiflora. g Erythrina velutina. h Chamaecrista repens. i Canavalia brasiliensis. j Bauhinia cheilantha. k Stylosanthes viscosa. l Crotalaria vitelina. (Source: the authors).
FIGURE 2 in Fabaceae Lindl. in a Conservation Unit in the Semi-Arid Region of Paraíba, Brazil
FIGURE 2. Landscape aspects of Pico do Jabre: a Pico do Jabre residual massif. b Access to the park entrance. c Main trail in the area (850m). d Main trail in the area (950m). e Atlantic Rainforest species (1,000m). f View of the plateau landscape.
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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.