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72 results for “mammal distribution”
Data from: Current climate, but also long-term climate changes and human impacts, determine the geographic distribution of European mammal diversity
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Spatial distribution and conservation hotpsots of mammals in Canada
<p>Data and code for Cameron & Hargreaves 2020 FACETS</p>
Data from: Hierarchical Bayesian model reveals the distributional shifts of Arctic marine mammals
Aim: Our aim involved developing a method to analyze spatiotemporal distributions of Arctic marine mammals (AMMs) using heterogeneous open source data, such as scientific papers and open repositories. Another aim was to quantitatively estimate the effects of environmental covariates on AMMs' distributions and to analyze whether their distributions have shifted along with environmental changes. Location: Arctic shelf area. The Kara Sea. Methods: Our literature search focused on survey data regarding polar bears (Ursus maritimus), Atlantic walruses (Odobenus rosmarus rosmarus) and ringed seals (Phoca hispida). We mapped the data on a grid and built a hierarchical Poisson point process model to analyze species' densities. The heterogeneous data lacked information on survey intensity and we could model only the relative density of each species. We explained relative densities with environmental covariates and random effects reflecting excess spatiotemporal variation and the unknown, varying sampling effort. The relative density of polar bears was explained also by the relative density of seals. Results: The most important covariates explaining AMMs' relative densities were ice concentration and distance to the coast, and regarding polar bears, also the relative density of seals. The results suggest that due to the decrease in the average ice concentration, the relative densities of polar bears and walruses slightly decreased or stayed constant during the 17-yearlong study period, whereas seals shifted their distribution from the Eastern to the Western Kara Sea. Main conclusions: Point process modelling is a robust methodology to estimate distributions from heterogeneous observations, providing spatially explicit information about ecosystems and thus serves advances for conservation efforts in the Arctic. In a simple trophic system, a distribution model of a top predator benefits from utilizing prey species' distributions compared to a solely environmental model. The decreasing ice cover seems to have led to changes in AMMs' distributions in the marginal Arctic region.
Data from: Distributions of mammals in Southeast Asia: the role of the legacy of climate and species body mass
Aim: Current species distributions are shaped by present and past biotic and abiotic factors. Here we assessed whether abiotic factors (habitat availability) in combination with past connectivity and a biotic factor (body mass) can explain the unique distribution pattern of Southeast Asian mammals, which are separated by the enigmatic biogeographic transition zone, the Isthmus of Kra (IoK), for which no strong geophysical barrier exists. Location: Southeast Asia Taxon: Mammals Methods: We projected habitat suitability for 125 mammal species using climate data for the present period and for two historic periods: mid-Holocene (6 kya) and last glacial maximum (LGM 21 kya). Next, we employed a phylogenetic linear model to assess how present species distributions were affected by the suitability of areas in these different periods, habitat connectivity during LGM and species body mass. Results: Our results show that cooler climate during LGM provided suitable habitat south of IoK for species presently distributed north of IoK (in mainland Indochina). However, the potentially suitable habitat for these Indochinese species did not stretch very far southwards onto the exposed Sunda Shelf. Instead, we found that the emerged landmasses connecting Borneo and Sumatra provided suitable habitat for forest dependent Sundaic species. We show that for species whose current distribution ranges are mainly located in Indochina, the area of the distribution range that is located south of IoK is explained by the suitability of habitat in the past and present in combination with the species body mass. Main conclusions: We demonstrate that a strong geophysical barrier may not be necessary for maintaining a biogeographic transition zone for mammals, but that instead a combination of abiotic and biotic factors may suffice.
State-dependent mortality, not behavior, fragments population distribution of a long-lived mammal after ecological disturbance
<p>Data and code used to produce figures and analyses for the peer-reviewed paper "State-dependent mortality, not behavior, fragments population distribution of a long-lived mammal after ecological disturbance". All demographic and GPS data were collected by the authors as part of the Wyoming Range Mule Deer Project, and spatial data were derived from publicly available GIS platforms. </p> <p>Questions about data and code can be directed to rraffer1@uwyo.edu and tlasharr@uwyo.edu.</p> <p> </p>
One of the first cryptic mammal species discovered, when it was separated from the morphologically similar R. tumida (= R. bickhami) based on karyological studies. Karyotype of 2n = 42 of R. genowaysi is identical to that observed in R. velilla, but these species are genetically distinct; their ranges do not overlap. R. genowaysi is morphologically very similar to other species within the R. tumida complex and is sympatric with R. bickhami (2n = 34). Monotypic. Distribution. Two nearby localities in Pacific lowlands of S Chiapas, S Mexico. in Vespertilionidae
One of the first cryptic mammal species discovered, when it was separated from the morphologically similar R. tumida (= R. bickhami) based on karyological studies. Karyotype of 2n = 42 of R. genowaysi is identical to that observed in R. velilla, but these species are genetically distinct; their ranges do not overlap. R. genowaysi is morphologically very similar to other species within the R. tumida complex and is sympatric with R. bickhami (2n = 34). Monotypic. Distribution. Two nearby localities in Pacific lowlands of S Chiapas, S Mexico.
Distribution. Currently recorded only on N ridge of Mt Halcon, Mindoro I, Philippines; likely widespread in mountains of Mindoro, an area that remains poorly surveyed for small mammals. in Muridae
Distribution. Currently recorded only on N ridge of Mt Halcon, Mindoro I, Philippines; likely widespread in mountains of Mindoro, an area that remains poorly surveyed for small mammals.
Distribution. Recorded only from foothills and lower slopes of Mt Pinatubo, Zambales Mts, C Luzon, Philippines; it may be more widely distributed in Zambales Mts, which remain poorly surveyed for small mammals. in Muridae
Distribution. Recorded only from foothills and lower slopes of Mt Pinatubo, Zambales Mts, C Luzon, Philippines; it may be more widely distributed in Zambales Mts, which remain poorly surveyed for small mammals.
Supplementary material 2 from: Bego F, Saçdanaku E, Pacifici M, Rondinini C (2018) Small terrestrial mammals of Albania: distribution and diversity (Mammalia, Eulipotyphla, Rodentia). ZooKeys 742: 127-163. https://doi.org/10.3897/zookeys.742.22364
Table S2. List of species with numbers of records by year of publication and/or year of data collection :
FIGURE 7 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 7. Dorsal (a) and ventral (b) views of the skull and lateral views of the skull (c) and mandible (d) of FMNH 114259.
FIGURE 6 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 6. Lateral outlines of the skulls (from top to bottom) of Myotis sp. (MCZ 32977) from Nepal; M. mystacinus (HZM 25.35972) from Shan State, Myanmar; M. siligorensis (HZM 11.36227) from Meghalaya, India; M. csorbai (HNHM 97.2.4) from 4 km. E. of Syangja, Nepal; and M. muricola (HZM 18.31749) from Pu Mat Reserve, Vietnam.
FIGURE 4 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 4. Lateral (l) and ventral (v) X-ray images of the skull and mandible of MCZ 32977 (Myotis sp.).
Figure 1. Distribution ranges for C. capreolus and C in Global phylogeography of the genus Capreolus (Artiodactyla: Cervidae), a Palaearctic meso-mammal
Figure 1. Distribution ranges for C. capreolus and C. pygargus, and the area of putative current sympatry between the rivers Volga and Don (Hewison & Danilkin, 2001). The question mark indicates the area of further putative presence of C. pygargus. Collection sites are as follows: (FRA) France, (SWE) Sweden, (DEN) Denmark, (AUS) Austria, (ITA) Central-southern Italy, (E-AL) Eastern Italian Alps, (N-SP) Northern Spain, (CS-SP) Central-southern Spain, (GRE) Greece, (ROM) Romania, (POL) Poland, (LIT) Lithuania, (CRI) Crimea, (W-RUS) Western Russia, (KYR) Kyrgyzstan, (NE-CH) North-eastern China, (CE-CH) Central-eastern China, (E-RUS) Eastern Russia. Multiple sampling sites for one population are indicated by the same acronym. See Table 1 for details on precise sampling locations and sample sizes.
Spatiotemporal distributions of mammals occurring in an agro-prairie ecosystem
<p>This database includes camera trap data from 381 sites (Fig. 1) containing a total of 31,227 mammal records from 24 species (Table 1) over 27,954 camera-traps/night during 2018 (n = 10,351), 2019 (n = 9,478), and 2020 (n = 8,125). Additionally, we include local-scale (0.25 ha) habitat covariates (i.e., vegetation height, and percentage of forbs, agriculture, grass, bare ground, shrubs) around each camera trap site that can be included in various habitat-use analyses.</p>
Dataset of distribution and trait of small mammals in Mt. Liangshan
<p><span>Secondary and plantation forests are the main alternative forests remaining after the deforestation of primary forests. Understanding the conservation value of secondary and plantation </span><span>forests</span><span> is important for </span><span>biological conservation. To explore the impact of forest conversion on biodiversity, we compared multiple diversity metrics (taxonomic, phylogenetic, and functional diversity) and the community structure of small mammals in the primary, secondary, and plantation forests </span><span>in</span><span> Mt. Liangshan, Sichuan Province, China. The dataset describes the distribution, morphological traits, and other traits of small mammals.</span></p>
FIGURE 2 in New data on the distribution of chigger mites (Acariformes: Trombiculidae) associated with small mammals in Vietnam
FIGURE 2. Cluster analysis of trombiculids faunas of provinces in Vietnam based on Bray—Curtis matrix. The numbers of provinces are as in Figure 1.
FIGURE 1 in New data on the distribution of chigger mites (Acariformes: Trombiculidae) associated with small mammals in Vietnam
FIGURE 1. Geographic regions and provinces of Vietnam. A—diversity rate of chigger mite fauna recovered in provinces, B—provinces where chigger mites were studied: 1—Phu Quoc island, 2—Cà Mau, 3—Côn SƠn island, 4—Tây Ninh, 5—Bình PhƯớc, 6—Đồng Nai, 7—Bà Rịa-Vũng Tàu, 8—Bình Thuận, 9—Lâm Đồng, 10—Ninh Thuận, 11—Đắk Lắk, 12—Khánh Hòa, 13—Phù Yên, 14—Gia Lai,15—Bình Định, 16—Kon Tum, 17—Quảng Ngãi,18—Quảng Nam, 19—Đà Nẵng, 20—Thừa Thiên-Huḗ, 21—Quảng Trị, 22—Quảng Bình, 23—Hà Tĩnh, 24—Nghệ An, 25—Thanh Hoa, 26—SƠn La, 27—Hòa Bình, 28—Ninh Bình, 29—Nam Định, 30—Thái Bình, 31—Quảng Ninh, 32—Lào Cai, 33—Phú Thọ, 34—Hà Giang, 35—Tuyên Quang, 36—Thái Nguyên, 37—Bắc Giang, 38—Lang Son, 39—Bắc Kạn, 40—Cao Bằng. Distinct colors are used to separate different geographical regions of Vietnam (Manh 2013). Circles mark provinces where the fieldwork was conducted.
Data from: Hierarchical Bayesian model reveals the distributional shifts of Arctic marine mammals
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Data from: Abundance of small mammals correlates with their elevational range sizes and elevational distributions in the subtropics
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Dataset of distribution and trait of small mammals in Mt. Liangshan
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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.