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124 results for “terrestrial mammals”
Figure 4 from: Miu IV, Chisamera GB, Popescu VD, Iosif R, Nita A, Manolache S, Gavril VD, Cobzaru I, Rozylowicz L (2018) Conservation priorities for terrestrial mammals in Dobrogea Region, Romania. ZooKeys 792: 133-158. https://doi.org/10.3897/zookeys.792.25314
Figure 4 Hotspots of sampling efforts within Dobrogea. The numbered statistically significant hot-spots are 1 Valu lui Traian Biological Research Station and Fântânița-Murfatlar 2 North Dobrogea Plateau 3 Letea Forest Natural Reserve in the Danube Delta.
Figure 2 from: Miu IV, Chisamera GB, Popescu VD, Iosif R, Nita A, Manolache S, Gavril VD, Cobzaru I, Rozylowicz L (2018) Conservation priorities for terrestrial mammals in Dobrogea Region, Romania. ZooKeys 792: 133-158. https://doi.org/10.3897/zookeys.792.25314
Figure 2 Accumulation of mammals' occurrence records (blue) and the number of records per year (red) within Dobrogea Region, Romania.
Figure 10 from: Miu IV, Chisamera GB, Popescu VD, Iosif R, Nita A, Manolache S, Gavril VD, Cobzaru I, Rozylowicz L (2018) Conservation priorities for terrestrial mammals in Dobrogea Region, Romania. ZooKeys 792: 133-158. https://doi.org/10.3897/zookeys.792.25314
Figure 10 Zonation performance curves quantifying the proportion of remaining species occurrences covered by Natura 2000 sites in Dobrogea. When considering 20% of landscape within Natura 2000 sites as protected (e.g., conservation measures are enforced), 45% of Natura 2000 mammal occurrences are protected.
Figure 3 from: Miu IV, Chisamera GB, Popescu VD, Iosif R, Nita A, Manolache S, Gavril VD, Cobzaru I, Rozylowicz L (2018) Conservation priorities for terrestrial mammals in Dobrogea Region, Romania. ZooKeys 792: 133-158. https://doi.org/10.3897/zookeys.792.25314
Figure 3 Mammals reported occurrences in Dobrogea Region, Romania at 5 × 5 km resolution. Grids with reported occurrences before 1990 were plotted as old records whereas those with reported occurrences after 1990 were considered new records (reports of synanthropic and vagrant mammals were excluded).
Figure 1 from: Miu IV, Chisamera GB, Popescu VD, Iosif R, Nita A, Manolache S, Gavril VD, Cobzaru I, Rozylowicz L (2018) Conservation priorities for terrestrial mammals in Dobrogea Region, Romania. ZooKeys 792: 133-158. https://doi.org/10.3897/zookeys.792.25314
Figure 1 Flowchart of diversity analyses and spatial prioritisation of conservation of terrestrial mammals within Dobrogea Region, Romania.
Fig. 4 in A new Oligocene site with terrestrial mammals and a selachian fauna from Minqar Tibaghbagh, the Western Desert of Egypt
Fig. 4. Upper part of the Daba'a Formation (late Eocene) at Minqar Tibabaghbagh, Qattara Depression, Egypt (1), overlain by a thick brownish sandstone layer (2), on top of it the deflation surface and the BOTM (3). Point of view: E 26°26.360', N 29°10.772'.
FIGURE 5 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 5. Dorsal (d) and ventral (v) views of the skin of MCZ 32977 (Myotis sp.).
FIGURE 2 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 2. The geopolitical position of Nepal in 1816.
FIGURE 1 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 1. Geopolitical divisions in the Indian Subcontinent, 1800.
CarniDIET 1.0: A database of terrestrial, carnivorous mammal diets
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Data from: The relationship between diet and body mass in terrestrial mammals
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Fishing for mammals: landscape-level monitoring of terrestrial and semi-aquatic communities using eDNA from lotic ecosystems
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Data from: Predator size and prey size-gut capacity ratios determine kill frequency and carcass production in terrestrial carnivorous mammals
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Fig. 1 in Current status of terrestrial mammals on Jeju Island
Fig. 1. Map of Jeju Island, Republic of Korea.
Figure 8 from: Miu IV, Chisamera GB, Popescu VD, Iosif R, Nita A, Manolache S, Gavril VD, Cobzaru I, Rozylowicz L (2018) Conservation priorities for terrestrial mammals in Dobrogea Region, Romania. ZooKeys 792: 133-158. https://doi.org/10.3897/zookeys.792.25314
Figure 8 Dissimilarity map of Dobrogea mammal species, Romania (S2 index).
Figure 7 from: Miu IV, Chisamera GB, Popescu VD, Iosif R, Nita A, Manolache S, Gavril VD, Cobzaru I, Rozylowicz L (2018) Conservation priorities for terrestrial mammals in Dobrogea Region, Romania. ZooKeys 792: 133-158. https://doi.org/10.3897/zookeys.792.25314
Figure 7 Corrected weighted rarity map of Dobrogea mammal species.
Figure 5 from: Miu IV, Chisamera GB, Popescu VD, Iosif R, Nita A, Manolache S, Gavril VD, Cobzaru I, Rozylowicz L (2018) Conservation priorities for terrestrial mammals in Dobrogea Region, Romania. ZooKeys 792: 133-158. https://doi.org/10.3897/zookeys.792.25314
Figure 5 The mammal species richness at 5 × 5 km grid resolution within Dobrogea.
Data from: Time-lagged effects of habitat fragmentation on terrestrial mammals in Madagascar
<p>In our paper “Time-lagged effects of habitat fragmentation on terrestrial mammals in Madagascar” (Conservation Biology) we quantified the magnitude of time-lagged effects of habitat fragmentation for 157 nonvolant terrestrial mammal species in Madagascar, one of the biodiversity hotspots with the highest rates of habitat loss and fragmentation. Therefore, we calculated the proportion of habitat area for each species that are too small to support populations for at least 100 years. First, we refined species’ geographic ranges based on habitat preferences and elevation limits. Secondly, we calculated population sizes of distinct populations by multiplying habitat area with population density. Finally, we used the Ricker-Logistic growth equation to simulate population trajectories for 100 years and determined whether each population could survive for at least 100 years. We used allometric relationships to obtain the required population parameters for this analysis, and we quantified the consequences of uncertainty in these parameter estimates by repeating the analyses with a range of plausible parameter values. Based on the median outcomes, the results showed that for 34 species (22% of the 157 species) at least 10% of their current habitat contained unviable populations. Based on 0.95-quantile values, following a precautionary principle, for 108 species (69%) at least 10% of their habitat contained unviable populations. These results highlight the need to preserve continuous habitat and improve connectivity between habitat fragments. Moreover, our findings may help to identify species for which time-lagged effects are most severe and which may thus benefit the most from conservation actions.</p> <p>In this dataset we provide the taxonomy and trait data for each species analysed in this study. These trait data were used as input to the allometric relationships to predict population parameters. In addition, we provide the different plausible values for each population parameter and species, used in this study.</p>
FIGURE 3 in Quantifying vertebrate zoogeographical regions of Australia using geospatial turnover in the species composition of mammals, birds, reptiles and terrestrial amphibians
FIGURE 3. Phytogeographical subregions of Australia (Ebach et al. 2015), based on the analysis by González-Orozco et al. (2014b).
FIGURE 6 in Quantifying vertebrate zoogeographical regions of Australia using geospatial turnover in the species composition of mammals, birds, reptiles and terrestrial amphibians
FIGURE 6. The Bassian subregion as proposed by Main et al. (1958). Note that the Bassian includes the South-West Australia subregion.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.