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30 results for “threat status”
FIG. 3 in Distribution and threat status of the liverwort Mannia triandra (Scop.) Grolle (Aytoniaceae, Marchantiophyta) in Montenegro
FIG. 3. — Distribution map of Mannia triandra (Scop.) Grolle in Montenegro. Orange dots are literature data (1965-2019), and black rings are new field data (2016-2022) given in the text.
FIG. 2 in Distribution and threat status of the liverwort Mannia triandra (Scop.) Grolle (Aytoniaceae, Marchantiophyta) in Montenegro
FIG. 2. — Microhabitat of Mannia triandra (Scop.) Grolle in a west exposed limestone rock crevice in Tuzy municipally (red arrow).
COMMENTS.— Although not breeding in the Mediterranean, the species forages in Libyan waters (van Dijk et al. 2014). In addition to the single beached record, an individual was pulled from nearshore waters of the Tajura coast in 1996 and died in the rehabilitation facility of the Marine Biology Research Centre (MBRC) at Tajura, where it was subsequently taxidermied at the MBRC Museum (Hamza 2010). Capra's (1949) records were based on a report in "L'Idea Coloniale" for 2 May 1927 (Mongàr) and an unspecified specimen in the Museo Civico di Storia Naturale di Trieste (Sella). IUCN THREAT STATUS.— Vulnerable A2bd. MAP 3. Distribution of Dermochelys coriacea in Libya showing stranding site records. in Atlas of the Reptiles of Libya
COMMENTS.— Although not breeding in the Mediterranean, the species forages in Libyan waters (van Dijk et al. 2014). In addition to the single beached record, an individual was pulled from nearshore waters of the Tajura coast in 1996 and died in the rehabilitation facility of the Marine Biology Research Centre (MBRC) at Tajura, where it was subsequently taxidermied at the MBRC Museum (Hamza 2010). Capra's (1949) records were based on a report in "L'Idea Coloniale" for 2 May 1927 (Mongàr) and an unspecified specimen in the Museo Civico di Storia Naturale di Trieste (Sella). IUCN THREAT STATUS.— Vulnerable A2bd. MAP 3. Distribution of Dermochelys coriacea in Libya showing stranding site records.
Fig. 1 in The ecology, distribution, status, threats, and conservation of the Common Water Monitor (Varanus salvator) in the Dhaleswari River of Assam, India
Fig. 1. (A) Map of India, highlighting Assam. (B) Map of Assam, highlighting Hailakandi district. (C) Map of Hailakandi district showing the two rivers, Dhaleswari River and Katakhal River, with distribution of the Common Water Monitor (Varanus salvator). Dots represent sighting locations during the present survey; current distribution in the Dhaleswari River is shown in green. Further downstream, despite no present records, occurrence in the past (1970s–1980s) was reported by several interviewees (shown in yellow). No reports on present occurrence in the Katakhal River (shown in red) could be found. Map by A.S. Choudhury.
Fig. 2 in The ecology, distribution, status, threats, and conservation of the Common Water Monitor (Varanus salvator) in the Dhaleswari River of Assam, India
Fig. 2. Photographs relevant to the habitat and threats of the Common Water Monitor (Varanus salvator) in the Dhaleswari River, Assam, India. (A) Research team interacting with the locals at Rongpur 5, Hailakandi. (B) Habitat of the Common Water Monitor in the Dhaleswari River, showing bushes and other features on the banks. (C) The sandy bank of the Katakhal River, prone to erosion and landslides, is the habitat not preferred by the Common Water Monitor. (D) The sluice gate at the mouth of Dhaleswari River at Shahabad, which prevents water flow into it and diverts the water to the Katakhal River. (E) Encroachment and conversion of the Dhaleswari River into fisheries by the locals building dikes at Rongpur 2. Photos by A.S. Choudhury.
Fig. 3. A in The ecology, distribution, status, threats, and conservation of the Common Water Monitor (Varanus salvator) in the Dhaleswari River of Assam, India
Fig. 3. A Common Water Monitor (Varanus salvator) killed for venturing into a human habitation at Rongpur 6, Hailakandi. It was subsequently buried. Photo by R.A. Barbhuiya.
FIG. 1 in Distribution and threat status of the liverwort Mannia triandra (Scop.) Grolle (Aytoniaceae, Marchantiophyta) in Montenegro
FIG. 1. — Mannia triandra (Scop.) Grolle in Montenegro (A), with carpocephala (B).
Figure 1 in Major threats and habitat use status of Demoiselle crane (Anthropoides virgo), in district Bannu, Pakistan
Figure 1. Map of the study area.
Data from: Alpine flora of Kashmir Himalaya: Floristic assessment, life history traits and threat status
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Data from: Cichlid fish use coloration as a cue to assess the threat status of heterospecific intruders
The ability to assess the threat posed by competitors, and to respond appropriately, is important for reducing the costs of aggression. In this respect, aggression directed toward heterospecifics is often just as significant as aggression among conspecifics. This is especially true for cichlid fish that share breeding grounds with heterospecifics. Indeed, cichlids are known to differentiate not only between conspecifics that pose different levels of threat but also between heterospecific territorial intruders by directing more aggression toward nonbreeding individuals. To assess whether the ability to make such distinctions could be based on color cues alone, we carried out a field study in which we experimentally presented Amphilophus sagittae cichlid pairs with model intruders of a sympatric congener, Amphilophus xiloaensis, in breeding versus nonbreeding coloration. Consistent with our prediction, we found that A. sagittae exhibited more aggression toward A. xiloaensis models of the latter color type. The results are, to our knowledge, the first to show that territory holders can, based on coloration alone, assess variation among individuals of a species other than their own in the threat posed to offspring survival.
Data from: Fully-sampled phylogenies of squamates reveal evolutionary patterns in threat status
Macroevolutionary rates of diversification and anthropogenic extinction risk differ vastly throughout the Tree of Life. This results in a highly heterogeneous distribution of Evolutionary distinctiveness (ED) and threat status among species. We examine the phylogenetic distribution of ED and threat status for squamates (amphisbaenians, lizards, and snakes) using fully-sampled phylogenies containing 9574 species and expert-based estimates of threat status for ~ 4000 species. We ask whether threatened species are more closely related than would be expected by chance and whether high-risk species represent a disproportionate amount of total evolutionary history. We found currently-assessed threat status to be phylogenetically clustered at broad level in Squamata, suggesting it is critical to assess extinction risks for close relatives of threatened lineages. Our findings show no association between threat status and ED, suggesting that future extinctions may not result in a disproportionate loss of evolutionary history. Lizards in degraded tropical regions (e.g., Madagascar, India, Australia, and the West Indies) seem to be at particular risk. A low number of threatened high-ED species in areas like the Amazon, Borneo, and Papua New Guinea may be due to a dearth of adequate risk assessments. It seems we have not yet reached a tipping point of extinction risk affecting a majority of species; 63% of the assessed species are not threatened and 56% are Least Concern. Nonetheless, our results show that immediate efforts should focus on geckos, iguanas, and chameleons, representing 67% of high-ED threatened species and 57% of Unassessed high-ED lineages.
Supplementary material 1 from: Krzikowski M, Nguyen TQ, Pham CT, Rödder D, Rauhaus A, Le MD, Ziegler T (2022) Assessment of the threat status of the amphibians in Vietnam - Implementation of the One Plan Approach. Nature Conservation 49: 77-116. https://doi.org/10.3897/natureconservation.49.82145
Assessment of the threat status of the amphibians in Vietnam - Implementation of the One Plan Approach
The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996). in Muridae
The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996).
FIGURE 1. Jatropha nana. A. Habit. B. Filiform stipules. C. Female flower. D. Male flower. E in Lectotypification of Jatropha nana (Euphorbiaceae) with notes on its threats, and the status of Jatropha nana var. benghalensis
FIGURE 1. Jatropha nana. A. Habit. B. Filiform stipules. C. Female flower. D. Male flower. E. Fruits at different maturity phases. F. Size variability in seeds. Photos by the author.
FIGURE 1 in Threat patterns and conservation status of endemic vascular flora in Argentina: a quantitative perspective
FIGURE 1. Pie chart showing preliminary threat assessments for Argentinean endemic species based on IUCN red list categories determined under criterion B. Number of endemic species under each category (top), total proportion of endemic species under each category (bottom). CR (critically endangered), DD (data deficient), EN (endangered), LC (least concern), NT (near threatened), VU (vulnerable), EW (extinct in the wild), EX (extinct).
FIGURE 5 in Threat patterns and conservation status of endemic vascular flora in Argentina: a quantitative perspective
FIGURE 5. Spatial patterns of threatened endemic species based on a spatial grid of 0.5 arc-degrees (~55 km). A. Map showing empirical (observed) species richness (SR) for threatened endemic species used to fit the models (response variable). B. Map of altitudinal heterogeneity (AH) used as predictor variable. C. Predicted SR for threatened endemic species using a generalized linear mixed model with fixed effects for AH and random effects for spatial distance. D. Partial effect of AH on SR, the blue line represents the average SR, the shadow area the 95% prediction intervals, and rugs the empirical values for variables. E. Scatterplot between observed SR and predicted SR values of threatened endemics in Argentina.
FIGURE 2 in Threat patterns and conservation status of endemic vascular flora in Argentina: a quantitative perspective
FIGURE 2. Threat levels for Argentinean endemics analyzed by family. A. Barplots showing number of species for each IUCN category. Numbers above the boxes correspond to the total number of endemic species within each family. B. Scatterplot showing the association between numbers of endemic and threatened endemic species for each family. Blue line represents least squares regression line.
FIGURE 4 in Threat patterns and conservation status of endemic vascular flora in Argentina: a quantitative perspective
FIGURE 4. Threat levels of endemic species for the different biogeographic provinces of Argentina. A. Biogeographic provinces colored according to their number of threatened endemics (VU+EN+CR) (number of total endemic species in square brackets). B. Barplots showing the proportion of species of each biogeographic province classified as non-threatened (LC+NT) and threatened (VU+EN+CR). Numbers above the boxes correspond to the total number of endemic species for each biogeographic province. C. Network graph representing statistically significant differences (α= 0.05) for the proportion of threatened endemics between each biogeographic province (Fisher's test with adjusted p-values for multiple comparisons). Circles (nodes) represent different biogeographic provinces and arrows (directed edges) should be interpreted as "with a statistically significant higher threat proportion at α= 0.05" (e.g., in Yungas → Monte, the Yungas shows a statistically significant higher threat proportion than the Monte with p<0.05).
FIGURE 6 in Threat patterns and conservation status of endemic vascular flora in Argentina: a quantitative perspective
FIGURE 6. Hotspots of threatened endemic species in Argentina obtained with the macroecological modeling and superimposed with the existing protected areas in the country. The histogram in the inset shows the frequency in the number of threatened endemic species per cell and the vertical arrow indicates the 2.5% hotspot criterion.
FIGURE 3 in Threat patterns and conservation status of endemic vascular flora in Argentina: a quantitative perspective
FIGURE 3. Threat levels for Argentinean endemics analyzed by the most representative life forms. Gray circles represent the total number of Argentinean endemic species for each life form, the red circles the number of threatened species (VU+EN+CR) (number of species and proportion). Silhouette images were used from the http://phylopic.org/ available under the Public Domain Dedication 1.0 license.
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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
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.