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99 results for “Conservation unit”
FIGURES 42–47 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 42–47. Notoreas perornata adults: 42, 43. (2c); 44–47. (2d). 42. Female underside (same specimen as Fig. 39); 43. Female underside (same specimen as Fig. 40); 44. Male upperside, Mt Arthur NN; 45. Male upperside, Dun Mt NN (holotype of N. regilla Philpott); 46. Female upperside, Jacks Pass MB; 47. Female upperside, Craigieburn MC.
FIGURES 19–24 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 19–24. Notoreas perornata adults: 19–21. (1d); 22–23. (1e). 19. Male upperside, Cape Turnagain HB; 20. Female upperside, Cape Turnagain HB; 21. Male underside (same specimen as Fig. 19); 22. Female underside (same specimen as Fig. 20); 23. Male upperside, Castlepoint WA; 24. Female upperside, Castlepoint WA.
FIGURES 31–35 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 31–35. Notoreas perornata adults (2a). 31. Female upperside, L. Kohangapiripiri WN; 32. Female upperside, White Rock Rd WA; 33. Male underside (same specimen as Fig. 29); 34. Male underside (same specimen as Fig. 30); 35. Female underside, Owhiro Bay WN (BPNZ).
FIGURES 8–13 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 8–13. Notoreas perornata adults (1b). 8. Male upperside, Waipakihi River TO; 9. Female upperside, Blowhard Bush HB; 10. Female upperside, Mt Ruapehu TO; 11. Female upperside, Mt Ruapehu TO; 12. Male underside, Waipakihi River TO; 13. Female underside (same specimen as Fig. 11).
FIGURES 36–41 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 36–41. Notoreas perornata adults: 36, 37. (2b); 38–41. (2c). (1e). 36. Male upperside, Dry Rd–Anatori R. NN; 37. Male underside (same specimen as Fig. 36); 38. Male upperside, Wairau Bar MB; 39. Female upperside, Rarangi, Cloudy Bay SD; 40. Female upperside, Rarangi, Cloudy Bay SD; 41. Male underside (same specimen as Fig. 38).
FIGURES 2–7. N in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 2–7. N. perornata adults (1a). 2. Male upperside, Karioitahi Beach AK (1a); 3. Male upperside, [ND?] (BPNZ); 4. Female upperside, [ND?] (BPNZ); 5. Female upperside, Karioitahi Beach AK; 6. Male underside (same specimen as Fig. 2); 7. Female underside (same specimens as Fig. 5).
FIGURE 1 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURE 1. Mitochondrial DNA (COI) gene tree for Notoreas perornata complex and selected outgroups. Branch lengths are drawn proportional to the estimated number of substitutions per site following the scale bar. Numbers above branches are maximum likelihood bootstrap percentages. Species names are followed by specimen numbers in parentheses.
Data from: Integrative approaches to guide conservation decisions: using genomics to define conservation units and functional corridors
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Data from: Patterns of genetic differentiation at MHC class I genes and microsatellites identify conservation units in the giant panda
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Data from: Defining conservation units with enhanced molecular tools to reveal fine scale structuring among Mediterranean green turtle rookeries
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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
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Data from: Strong trans-Pacific break and local conservation units in the Galapagos shark (Carcharhinus galapagensis) revealed by genome-wide cytonuclear markers
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Data from: Evaluation of rockfish conservation area networks in the United States and Canada relative to the dispersal distance for black rockfish (Sebastes melanops)
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Data for: High-resolution land value maps reveal underestimation of conservation costs in the United States
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Data from: Defining conservation units in a stocking-induced genetic melting pot: unravelling native and multiple exotic genetic imprints of recent and historical secondary contact in Adriatic grayling
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Data from: Can physiographic regions substitute for genetically-determined conservation units? A case study with the threatened plant, Silene spaldingii
Protecting genetic diversity throughout the range of a species is important for conservation, as doing so provides for long-term evolutionary potential and persistence under a changing environment. Conservation of diversity at the intraspecific level requires identification of all genetically distinct population segments within species; i.e., conservation units (CUs). Silene spaldingii occurs in grasslands of the Columbia Plateau region of western North America and is listed as threatened under the Federal Endangered Species Act. The recovery plan identified five physiographic regions across the range of the species to use as surrogates for genetic CUs. We collected leaf samples from an average of 26 plants from each of 19 of the largest populations across all five physiographic regions and used variable microsatellite and chloroplast DNA markers to determine how genetic variation is distributed across the range of the species and how well physiographic regions reflect population structure within this species. Results of several multivariate analyses clustered our samples into four genetic groups which did not correspond well with the physiographic regions. We observed little genetic differentiation among populations in the main range of the species which encompasses nearly all of four contiguous physiographic regions. However, three other distinct genetic groups were identified: two in the disjunct northeast corner and one at the southeast edge of the main range. Modification of the CUs to reflect the genetic groups rather than the physiographic regions would result in CUs which better reflect historical patterns of population structure. Moreover, use of the genetic units to inform translocation and genetic rescue efforts could improve our ability to mimic natural patterns of gene flow. Our results suggest that physiographic regions may not always be an accurate reflection of population structure for threatened or endangered species.
FIGURE 1 in Fabaceae Lindl. in a Conservation Unit in the Semi-Arid Region of Paraíba, Brazil
FIGURE 1. Location map of the Pico do Jabre massif, Paraíba, northeastern Brazil.
Defining Relictual Biodiversity: Conservation Units in Speckled Dace (Leuciscidae: Rhinichthys osculus) of the Greater Death Valley Ecosystem
<p>The tips in the tree of life serve as foci for conservation and management, yet clear delimitations are masked by inherent variance at the species-population interface. Analyses using thousands of nuclear loci can potentially sort inconsistencies, yet standard categories applied to this parsing are themselves potentially conflicting and/or subjective [e.g., DPS (distinct population segments); DUs (Diagnosable Units-Canada); MUs (management units); SSP (subspecies); ESUs (Evolutionarily Significant Units); UIEUs (uniquely identified evolutionary units)]. One potential solution for consistent categorization is to create a comparative framework by accumulating statistical results from independent studies and evaluating congruence among data sets. Our study illustrates this approach in speckled dace (Leuciscidae: <i>Rhinichthys osculus</i>) endemic to two basins (Owens and Amargosa) in the Death Valley ecosystem. These fish persist in the Mojave Desert as isolated Plio-Pleistocene relicts and are of conservation concern, but lack formal taxonomic descriptions/designations. Double-digest RAD (ddRAD) methods identified 14,355 SNP loci across 10 populations (N=140). Species delimitation analyses [multispecies coalescent (MSC) and unsupervised machine learning (UML)] delineated four putative ESUs. <i>F</i><sub>ST</sub> outlier loci (N=106) were juxtaposed to uncover the potential for localized adaptations. We detected one hybrid population that resulted from upstream reconnection of habitat following contemporary pluvial periods, whereas remaining populations represent relics of ancient tectonism within geographically-isolated springs and groundwater-fed streams. Our study offers three salient conclusions: A blueprint for a multi-faceted delimitation of conservation units; a proposed mechanism by which criteria for intraspecific biodiversity can be potentially standardized; and a strong argument for the proactive management of critically-endangered Death Valley ecosystem fishes.</p>
Figures 15-20 from: Rightmyer M, Deyrup M, Ascher J (2011) Osmia species (Hymenoptera, Megachilidae) from the southeastern United States with modified facial hairs: taxonomy, host plants, and conservation status. ZooKeys 148: 257-278. https://doi.org/10.3897/zookeys.148.1497
Figures 15-20 - 15, 16 Osmia calaminthae, females 15 Propodeal triangle of paratype specimen 16 T1–T3 of holotype specimen 17–20 Osmia calaminthae, male paratype 17 Dorsal habitus 18 Lateral habitus 19 Face 20 Mandibles
Figures 1-3 from: Rightmyer M, Deyrup M, Ascher J (2011) Osmia species (Hymenoptera, Megachilidae) from the southeastern United States with modified facial hairs: taxonomy, host plants, and conservation status. ZooKeys 148: 257-278. https://doi.org/10.3897/zookeys.148.1497
Figures 1-3 - 1 Flowers of Calamintha ashei (Weath.) Shinners (Lamiaceae) 2–3 Osmia calaminthae, sp. n., visiting flowers of Calamintha ashei at Lake Placid, Highlands County, Florida. Photographs by T. Lethbridge.
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Allen Brain Atlas
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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.