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187 results for “species at risk”
FIGURE 10 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 10 | Variation on the coloration of Cambeva sp. 2 from (A–D) Tubarão River, UFRGS 24553, 66.1, 45.4, and 56.04, 52.1 mm SL, and (E, F) Araranguá River, UFRGS 22964, 61.1 and 60.7 mm SL, respectively, showing a unique color pattern that differs from other congeners in the study area: one layer of coloration composed of not coalescent round small blotches.
FIGURE 8 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 8 | Coloration pattern of Cambeva zonata, (A–C) UFRGS 24538, (A) 51.1 mm SL, (B) 48.4 mm SL, Betari River, Ribeira de Iguape River basin, and (C) 41.4 mm SL.
FIGURE 9 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 9 | ndividuals representing populations of Cambeva sp. 1 from distinct river drainages. (A) Maquiné River basin, UFRGS 22211, 58.6 mm SL, (B) Mampituba River basin, MCP 23623, 55.7 mm SL; and (C, D) Araranguá River basin, UFRGS 22962, 45.2 and 59.8 mm SL, respectively.
FIGURE 6 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 6 | Variation on the coloration in Cambeva cubataonis, showing a mottled color pattern composed by blotches variable in shape and forming marked saddles dorsally, (C–E) specimens with large dark areas merged giving an overall dark color pattern. Specimens from tributaries of Guaratuba Bay (A) UFRGS 24549, 53.1 mm SL; (B) UFRGS 24556, 60.3 mm SL; and from tributaries to Babitonga Bay (C–E) UFRGS 24552, 77.2 mm SL, 85.7 mm SL, and 61.6 mm SL, respectively.
FIGURE 5 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 5 | Variation on the coloration in vivo and ontogenetic series of Cambeva botuvera from (A, C–F) Itajaí-Açu River, UFRGS 23182, 47.3 mm SL, 64.8 mm SL, 68.1 mm SL, 81.1 mm SL, 95.6 mm SL, respectively; and (B) from Itajaí-Mirim River, UFRGS 24558, 67.1 mm SL, showing the color pattern with two layers in the skin composed of large and small round black blotches in the inner and outer layer, respectively.
FIGURE 4 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 4 | Polymorphic color pattern within of Cambeva barbosae ranging from a mottled color pattern in individuals from (A) Santa Catarina Island, UFRGS 23183, 80.1 mm SL, and (B) Biguaçu River basin, UFRGS 22907, 61.3 mm SL; to a blotched color pattern with dark marks varying in shape and size from Biguaçu River basin, (C, D) UFRGS 22932, 58.7mm SL and 51.0 mm SL, respectively, and (E) UFRGS 20937, 30.0 mm SL.
FIGURE 3 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 3 | A. Cambeva balios from Mampituba River basin, UFRGS 16295, 63.8 mm SL. B. Cambeva davisi from Ribeira de Iguape River basin, MZUEL 17202, 72.8 mm SL, fixed in alcohol. C. Cambeva iheringi from Piagui River, coastal drainage of São Paulo State, MNRJ 24008, 75.6 mm SL.
FIGURE 1 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 1 | Geographical distribution of Cambeva species in the coastal drainages of Southern and Southeastern Brazil (crossed circles indicate their past known distribution). Some dots represent more than one locality.
FIGURE 2 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 2 | Schematic drawing of morphometric measurements applied to Cambeva species: (1) standard length, (2) head length, (3) head width, (4) predorsal length, (5) prepelvic length, (6) pre-anal length, (7) scapular girdle width, (8) trunk length, (9) pectoral-fin length, (10) pelvic-fin length, (11) distance between pelvic-fin base and anus, (12) caudal peduncle length, (13) caudal peduncle depth, (14) body depth, (15) length of dorsal-fin base, (16) length of anal-fin base, (17) snout length, (18) interorbital distance, and (19) eye diameter. Illustration made by Alexandre Ribeiro.
Motivation and harvesting behaviour of fishers in a specialized fishery targeting a top predator species at risk
<p>Effective management of wildlife resources depends on understanding and cooperating with the human users of the resource, particularly as policies may be rejected if user satisfactions are not met. In Australia, recreational anglers can legally target a migratory top predator, the shortfin mako shark (<em>Isurus oxyrinchus</em>), that is also a species at risk. It is assumed that most of the sharks are released and population remains minimally impacted; yet, the actual release rate of this species is unknown and little information is available on the motivations and satisfactions of anglers that participate in this fishery. The rate of catch-and-release fishing was ascertained by a web survey of recreational shark anglers from three south-eastern Australian states. Respondents reported that ~70% of the captured makos were released, with significant geographic variation in release rates between states. Differences in harvesting behaviour between states could be attributed to the varying value assigned to shortfin mako as a sport fish and table fish among regions. Additionally, higher rates of release among anglers from New South Wales may be linked to increased opportunity for resource substitution (i.e. greater diversity of game fish species) and established norms driven by current catch-and-release fisheries in that region. Increased participation in catch-and-release fishing may be achieved by establishing behavioural norms by the provision of more desirable incentives to release sharks during fishing competitions. Data on regional variation in release rates yields important information for managers to target specialized fishers to incentivize catch-and-release fishing with an objective of changing behaviour. Information on natural resource user motivations and satisfactions, such as studied here, has the potential to guide management actions and the ways in which managers interact with resource users.</p>
Data from Lamb et al.: "Hanging out at the club: breeding status and territoriality affect individual space use, multi-species overlap, and pathogen transmission risk at a seabird colony"
<p>This dataset consists of two files:</p> <p><strong>ams_sku_all provides</strong> GPS locations from tracked skuas.</p> <p><strong>Skua_GPS_Metadata</strong> provides information on tracked skuas. The file consists of two workseets, the data table ("skua_gps_metadata", and a key providing descriptions of the column names and values ("Key")</p>
Gaps and weaknesses in the global protected area network for safeguarding at-risk species
<p>Dataset and example code for the 4946 species of terrestrial mammals, amphibians and birds analysed in Zeng et al.</p>
Risk response towards roads is consistent across multiple species in a temperate forest ecosystem
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Assessing patterns and risk to Chilean freshwater fish distributions using multi-species occupancy models
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Range-wide climate risk and adaptive potential in an iconic cold-water species (Part 2/2)
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Range-wide climate risk and adaptive potential in a cold-water fish species (Part 1/2)
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Mitigating the extinction risk of globally threatened and endemic mountainous Orthoptera species: Parnassiana parnassica and Oropodisma parnassica
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Data from: Emerging risks of non-native species escapes from aquaculture: call for policy improvements in China and other developing countries
<p><span>1. Global aquaculture relies heavily on the farming of non-native aquatic species (hereafter, NAS). NAS escapes from aquaculture facilities can result in serious aquatic bio-invasions, which</span> has been <span>an important issue in the FAO <i>Blue Growth Initiative</i>. A r</span>egulatory quagmire regarding NAS farming and escapes, however, exists in most developing countries.</p> <p><span>2. We discuss aquaculture expansion and NAS escapes, illustrate emerging risks, and propose recommendations for improved aquaculture management</span> across developing countries and particularly for<span> China. </span></p> <p>3. <span>In </span>China<span>,</span> 68 NAS are known to have successfully established feral populations in natural habitats due to recurrent leakages or escapes; among the 68 NAS, 52<span> represent risks to native aquatic ecosystems. In addition to affecting a country's own biodiversity and ecosystem functions, NAS escapees can also threaten the </span>biosecurity<span> of shared waters in neighboring countries.</span></p> <p>4. <i>Policy implications</i>. <span>Non-native aquatic species (NAS) </span>escapes have already had adverse ecological effects in China and other developing countries. The importance of this problem, however, is not adequately recognized by current conservation policies in developing countries. To conserve biodiversity and to support the<span> goal of FAO's</span> sustainable aquaculture, developing countries <span>should now take responsible actions</span> to address NAS escapes <span>through policy and management improvements. Specifically, these</span> countries should pass comprehensive legislation, establish effective agencies and national standards and planning, and enhance integrated research and education to deal with risk assessment, prevention, monitoring, and control of <span>NAS</span> escapes. Given that China is the world's largest aquacultural producer, China can create a model for other developing countries that will increase the biosecurity and sustainability of global aquaculture.</p>
Quantifying the effects of species traits on predation risk in nature: a comparative study of butterfly wing damage
<p>1) Evading predators is a fundamental aspect of the ecology and evolution of all prey animals. In studying the influence of prey traits on predation risk, previous researchers have shown that crypsis reduces attack rates on resting prey, predation risk increases with increased prey activity, and rapid locomotion reduces attack rates and increases chances of surviving predator attacks. However, evidence for these conclusions is nearly always based on observations of selected species under artificial conditions. In nature, it remains unclear how defensive traits such as crypsis, activity levels, and speed influence realized predation risk across species in a community. Whereas direct observations of predator-prey interactions in nature are rare, insight can be gained by quantifying bodily damage caused by failed predator attacks. 2) We quantified how butterfly species traits affect predation risk in nature by determining how defensive traits correlate with wing damage caused by failed predation attempts, thereby providing the first robust multi-species comparative analysis of predator-induced bodily damage in wild animals. 3) For 34 species of fruit-feeding butterflies in an African forest, we recorded wing damage and quantified crypsis, activity levels, and flight speed. We then tested for correlations between damage parameters and species traits using comparative methods that account for measurement error. 4) We detected considerable differences in the extent, location, and symmetry of wing surface loss among species, with smaller differences between sexes. We found that males (but not females) of species that flew faster had substantially less wing surface loss. However, we found no correlation between cryptic colouration and symmetrical wing surface loss across species. In species in which males appeared to be more active than females, males had a lower proportion of symmetrical wing surface loss than females. 5) Our results provide evidence that activity greatly influences the probability of attacks and that flying rapidly is effective for escaping pursuing predators in the wild, but we did not find evidence that cryptic species are less likely to be attacked while at rest. 15-Oct-2019</p>
Data from: Raising the bar: recovery ambition for species at risk in canada and the US
<p>Routinely crossing international borders and/or persisting in populations across multiple countries, species are commonly subject to a patchwork of endangered species legislation. Canada and the United States share numerous endangered species; their respective acts, the Species at Risk Act (SARA) and the Endangered Species Act (ESA), require documents that outline requirements for species recovery. Although there are many priorities for improving endangered species legislation effectiveness, species recovery goals are a crucial component. We compared recovery goal quality, as measured by goal quantitativeness and ambition, for species listed under SARA and ESA. By comparing across ESA and SARA, the intent of the study was to identify differences and similarities that could support the development of stronger species' recovery goals under both legislations. Our results indicated that: (1) overall, only 38% of recovery goals were quantitative, 41% had high ambition, and 26% were both quantitative and high ambition; (2) recovery goals had higher quantitativeness and ambition under ESA than SARA; (3) recovery goals for endangered species had higher ambition than threatened species under ESA and SARA, and; (4) no recovery goal aimed to restore populations to historic levels. Combined, these findings provide guidance to strengthen recovery goals and improve subsequent conservation outcomes. In particular, species at risk planners should seek to attain higher recovery goal ambition, particularly for SARA-listed species, and include quantitative recovery goals wherever possible.</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)
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.