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FIGURE 2. A-C in Ternstroemia guerrerensis (Pentaphylacaceae), a new endangered cloud forest tree from Guerrero, Mexico
FIGURE 2. A-C, Ternstroemia guerrerensis; D-F, T. lineata subsp. lineata. A and D, twig leaf arrangement and leaf shape on both species; B and E, T. guerrerensis, and T. lineata subsp. lineata flowers; C and F, flower arrangement, length, and color of the pedicels in the two species.
FIGURE 1 in Ternstroemia guerrerensis (Pentaphylacaceae), a new endangered cloud forest tree from Guerrero, Mexico
FIGURE 1. Ternstroemia guerrerensis sp. nov. A) branch with leaves and flowers; B) ovary with sepals; C) detail of corolla with the androecium adnate; D) stamen; E) detail of retuse apex; F) fruit with sepals, and G) seeds. Illustration by Ramiro Cruz Durán based on the type specimen O. Alcántara-Ayala et al. 6793 (FCME).
FIGURE 1 in Description and phylogenetic relationships of a new, purple-flowered, endangered Schomburgkia (Laeliinae; Orchidaceae) from north-eastern Brazil
FIGURE 1. Phylogenetic relationships of Schomburgkia s.s. produced by Bayesian inference. A. Nuclear ribosomal ITS. B. Plastid (rpl32-trnL and trnS-trnfM) regions combined. Posterior probabilities (>0.65) are indicated above branches.
FIGURE 5 in Description and phylogenetic relationships of a new, purple-flowered, endangered Schomburgkia (Laeliinae; Orchidaceae) from north-eastern Brazil
FIGURE 5. Map with the known localities of S. vandenbergiana populations in north-eastern Brazil. Brazilian states of Alagoas and Pernambuco in grey.
FIGURE 4. Schomburgkia vandenbergiana. A in Description and phylogenetic relationships of a new, purple-flowered, endangered Schomburgkia (Laeliinae; Orchidaceae) from north-eastern Brazil
FIGURE 4. Schomburgkia vandenbergiana. A. Habit (scale bar = 2.0 cm). B. Inflorescence (scale bar = 1.0 cm). C. Flower in natural position (scale bar = 1.0 cm). D. Dissected perianth (scale bar = 1.0 cm). Photos of the specimen collected as type by V. Brito.
Data from: Potential geographic distributions of endangered Opisthopappus Shih in response to environmental changes
<p><span><span><span>Environmental changes could dramatically influence the distribution area and niche of organisms. Taihang Mountains contain numerous endemic species, regarded as a center of distribution and diversity for many plant genera. It is necessary that having more comprehensive studies of test climate effects on species in this area. <i>Opisthopappus</i> (containing two species<i> Opisthopappus</i><i> taihangensis</i> and <i>Opisthopappus</i><i> longilobus</i>) is an endangered and endemic genus in the Taihang Mountains. Predicting the suitable potential distribution, exploring the niche difference between two species and determining the important environmental factors are very critical for the sustainable utilization and scientific conservation. In this study, the distribution areas of both two species decreased drastically from the LIG to LGM period. Main refugia might have been in the centre of the Taihang Mountains. Compared LGM, the distribution ranges expanded in the Mid-Holocene period whether <i>O. longilobus </i>or <i>O. taihangensis</i>, and that generally similar to the present distribution areas of two species. From 2050 to 2070, the predicted distribution area greatly increased for both two species. Moreover, <i>O. longilobus</i> migrated toward south and east, while <i>O. taihangensis</i> moved toward west. Among all 37 environmental variables, <span>fourteen </span>variables (bio2, bio3, bio4, bio8, bio11, bio13, bio15, elev, T_CaCO<sub>3</sub>, T_GRAVEL, T_OC, T_SAND, T_SILT, T_TEB) were the most important factors influencing on the distribution of <i>Opisthopappus</i>. <i>O. taihangensis</i> and <i>O. longilobus</i> presented a significant niche differentiation, and this change occurred gradually with the passage of time. These would provide some clues for the management and conservation for <i>O. taihangensis</i> and <i>O. longilobus</i>.</span></span></span></p>
Ecological impacts of unsustainable sand mining: Urgent lessons learned from a critically endangered freshwater cetacean
<p>Sand production, tripled in the last two decades, is an emerging concern for global biodiversity. However, the paucity of sand mining data worldwide prevents understanding the extent of sand mining impacts and how it affects wildlife populations and ecosystems, which is critical for timely mitigation and conservation actions. Integrating remote sensing and field surveys over fourteen years, we investigated mining impacts on the critically endangered Yangtze finless porpoise (<em>Neophocaena asiaeorientalis asiaeorientalis</em>) in Dongting Lake, China. We found that sand mining presented a consistent, widespread disturbance in Dongting Lake. The porpoise strongly avoided mining sites, especially the areas subjected to higher mining intensity. The extensive sand mining significantly contracted the porpoise's range and restricted their habitat use in the lake. Water traffic for sand transportation further blocked the species' river-lake movements, affecting the population connectivity. In addition, mining-induced loss of nearshore habitats, a critical foraging and nursery ground for the porpoise, occurred in nearly 70% of the water channels of our study region. Our findings provide the first empirical evidence on the impacts of unregulated sand extractions on species distribution. Our spatiotemporally explicit approach and findings can support regulation and conservation, yielding broader implications for sustainable sand mining worldwide.</p> <p>This dataset contains (1) sand mining information from 2006–2019 in Dongting Lake, (2) data of porpoise distributions from nine range-wide surveys from 2006–2019, (3) water traffic information at the outlet channel of Dongting Lake from 2001–2019, (4) data of the lake morphology from 2006–2019, (5) codes for all data analyses.</p>
Data from: A camera trap based assessment of climate-driven phenotypic plasticity of seasonal moulting in an endangered carnivore
<p>For many species, the ability to rapidly adapt to changes in seasonality is essential for long-term survival. In the Arctic, seasonal moulting is a key life history event that provides year-round camouflage and thermal protection. However, increased seasonal variability can lead to phenological mismatch. In this study, we investigated whether winter-white (white morph) and winter-brown (blue morph) Arctic foxes (<em>Vulpes lagopus</em>) could adjust their winter-to-summer moult to match local environmental conditions. We used camera trap images spanning an eight-year period to quantify the timing and rate of fur change in a polymorphic subpopulation in south-central Norway. Seasonal snow cover duration and temperature governed the phenology of the spring moult. We observed a later onset and longer moulting duration with decreasing temperature and longer snow season. Additionally, white foxes moulted earlier than blue in years with shorter periods of snow cover and warmer temperatures. These results suggest that phenotypic plasticity allows Arctic foxes to modulate the timing and rate of their spring moult as snow conditions and temperatures fluctuate. With the Arctic warming at an unprecedented rate, understanding the capacity of polar species to physiologically adapt to a changing environment is urgently needed in order to develop adaptive conservation efforts. Moreover, we provide the first evidence for variations in the moulting phenology of blue and white Arctic foxes. Our study underlines the different intraspecific selective pressures that can exist in populations where several morphs co-occur, and illustrates the importance of integrating morph-based differences in future management strategies of such polymorphic species.</p>
Figure 1a in Tulipa toktogulica (Liliaceae), a cryptic, endangered new species from the western Tien-Shan, Kyrgyzstan
Figure 1a: (a) Single partition plastome tree, (b) multi-partition plastome tree, (c), multi-partition CDS tree, (d) 35S rDNA tree.
FIGURE. Photos showing the broader stamens in Tulipa toktogulica compared to T. talassica. A. Tulipa toktogulica. B. Tulipa talassica. Photos by Brett Wilson and Georgy Lazkov in Tulipa toktogulica (Liliaceae), a cryptic, endangered new species from the western Tien-Shan, Kyrgyzstan
FIGURE. Photos showing the broader stamens in Tulipa toktogulica compared to T. talassica. A. Tulipa toktogulica. B. Tulipa talassica. Photos by Brett Wilson and Georgy Lazkov
FIGURE. Map of specimens collected for the phylogenetic analysis in this study, excluding Tulipa iliensis and T. altaica, which both lacked GPS information. Populations of the new species T. toktogulica are labelled in order of discovery. in Tulipa toktogulica (Liliaceae), a cryptic, endangered new species from the western Tien-Shan, Kyrgyzstan
FIGURE. Map of specimens collected for the phylogenetic analysis in this study, excluding Tulipa iliensis and T. altaica, which both lacked GPS information. Populations of the new species T. toktogulica are labelled in order of discovery.
FIGURE. A in Tulipa toktogulica (Liliaceae), a cryptic, endangered new species from the western Tien-Shan, Kyrgyzstan
FIGURE. A. Side view of a flower. B. Flower from above. C. Side view of a closed flower. D. Inner and outer tepals, stamen and ovary. E. Prolonged tunic on bulb. F. Seed pod. G. Habitat at population one. H. Habitat at population two and three. I. Habitat at population four. Photos by Brett Wilson.
FIGURE 4 in Genetic diversity of the regionally endangered Chinese ricefish (Oryzias sinensis) in Taiwan, with comments on its conservation status
FIGURE 4. Molecular phylogenetic tree of Chinese ricefish in Taiwan based on combined COI and D-loop sequences constructed with the maximum likelihood method. Bootstrap values less than 50 are not shown.
FIGURE 2 in Genetic diversity of the regionally endangered Chinese ricefish (Oryzias sinensis) in Taiwan, with comments on its conservation status
FIGURE 2. Molecular phylogenetic tree of Chinese ricefish in Taiwan based on the D-loop sequence constructed with the maximum likelihood method (bootstrap values less than 50 not shown). The sample size of each haplotype is given in parentheses after the OTU. Haplotypes from Tzeng et al. (2006) are shown with GenBank accession numbers.
FIGURE 1 in Genetic diversity of the regionally endangered Chinese ricefish (Oryzias sinensis) in Taiwan, with comments on its conservation status
FIGURE 1. Sampling sites in northern Taiwan. Detailed localities and rivers are shown in the upper right image.
FIGRUE 3 in Genetic diversity of the regionally endangered Chinese ricefish (Oryzias sinensis) in Taiwan, with comments on its conservation status
FIGRUE 3. Molecular phylogenetic tree of Chinese ricefish in Taiwan based on COI sequences constructed with the maximum likelihood method. Bootstrap values less than 50 are not shown. Two haplotypes of Chinese ricefish from South Korea from Kim et al. (unpublished data, 2016) are shown with GenBank accession numbers.
The ancestral origin of the critically endangered Quadricorna sheep as revealed by genome-wide analysis.
<p>These data were used in "The ancestral origin of the critically endangered Quadricorna sheep as revealed by genome-wide analysis" by Senczuk et al.</p> <p>ARSIAL.ped and ARSIAL.map contains genotypes information (64.734 SNPs) of 47 individuals of the Quadricorna breed in Plink ped format.</p>
Fig. 6 in Extremely Endangered Butterflies of Scattered Central European Dry Grasslands Under Current Habitat Alteration
Fig. 6. Species Distribution Models (MaxEnt) for three steppe butterflies, (a) C. briseis, (b) P. damon, (c) P. dorylas. Diagrams show BIOCLIM variables selected by jackknife procedure and their contribution to the model (explained variation) (x-axes: the value of the variable, y-axes: predicted values).The climatic niche is modelled for the last interglacial period (–130 ky), the glacial maximum (–21 ky), Younger Dryas (–12 ky), mid Holocene (–6 ky), current situation, and the future (2050) with an RCP4.5 climate change scenario. Purple colors show the suitability, including the least suitable training record (minimum training presence threshold), and orange colors the suitability of 90% of the training data (tenth percentile training presence threshold).The glacial sheet was adopted after Ehlers et al. (2011).
Fig. 3. Phylogeographic analyses for the butterfly P in Extremely Endangered Butterflies of Scattered Central European Dry Grasslands Under Current Habitat Alteration
Fig. 3. Phylogeographic analyses for the butterfly P. damon: (a) distribution range (shaded) with locations of samples colored and symbolized by COI BAPS groups, (b) TCS haplotype network, (c) Maximum Likelihood tree (COI + wingless). Branch labels show bootstrap values higher than 50%. Sequences in the network and the tree were assigned to geographical or political regions (described by the legend). Question marks on the map stand for uncertainty in the species distribution and EX. for extinct populations.
Fig. 2. Phylogeographic analyses for the butterfly C in Extremely Endangered Butterflies of Scattered Central European Dry Grasslands Under Current Habitat Alteration
Fig. 2. Phylogeographic analyses for the butterfly C. briseis: (a) distribution range (shaded) with locations of samples colored and symbolized by COI BAPS groups, (b) TCS haplotype network, (c) Maximum Likelihood tree (COI + wingless). Branch labels show bootstrap values higher than 50%. Sequences in the network and the tree were assigned to geographic or political regions (described by the legend).
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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.