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opennotspecifiedDec 2007View details →

FIGURE 7 in Type specimens of " insectivoran " mammals at the Museum für Naturkunde, Berlin

FIGURE 7. Skins of the type series of Myosorex preussi Matschie, 1893. ZMB 6992 and 6991 belong to Sylvisorex morio as shown by Heim de Balsac & Lamotte (1956). Note that Hutterer (1993) identified the skin of ZMB 6990 as belonging to European Sorex araneus.

opencc-by-4.0May 2024View details →

Diel niche of sympatric small mammals revealed by year-round camera trapping

Data and scripts to reproduce results presented in the research article manuscript.

FIGURE 1 in Updated list of the mammals of Costa Rica, with notes on recent taxonomic changes

FIGURE 1. Plot of number of species known (vertical axis) by year of publication of taxonomic compendium for mammals of Costa Rica. See text for publication details of the taxonomic compendia. The data suggest that over the past 154 years, the number of species of mammals known for Costa Rica has accumulated at a rate of 1.2 species year-1 in two major pulses (1869 to 1946: 1.73 spp. yr-1, R2 = 0.99; and 1983 to 2023: 1.64 spp. yr-1, R2 = 0.98) and is not experiencing any reduction at present.

FIGURE 2 in Updated list of the mammals of Costa Rica, with notes on recent taxonomic changes

FIGURE 2. Distribution of species of Costa Rican mammals by categories of threat as assessed by the International Union for the Conservation of Nature (IUCN). A: overall assessment of all mammal species known for Costa Rica into IUCN categories of threat. Key to abbreviations: EN, endangered; DD, data deficient; LC, least concern; NT, not threatened; VU, vulnerable. B: Trends in population growth rates for the 202 species of Costa Rican mammals listed in the IUCN category of "least concern." C: Trends in population growth rates for all Costa Rican mammal species. Numbers represent total number of species in each category followed by proportional representation relative to the total, expressed as a percentage.

Fig. 6 in Newly described and already endangered: a new mammal species endemic to Corsica

Fig. 6. Portraits and hind feet (dorsal view) of an adult female M. nustrale sp. nov. caught near Bavella, in southern Corsica (left) and an adult female M. crypticus from the Jura mountains in Switzerland (right). Notice that the latter individual has a faint line bordering the lower lip, while the former has a much more conspicuous chin spot. Wing insertion to the outer toe is, however, identical in both species. For the left individual, the wing was not stretched while it was stretched for the right individual.

Fig. 3 in Newly described and already endangered: a new mammal species endemic to Corsica

Fig. 3. PCA showing (A) the clear separation between M. crypticus (Mcry; green circles) and M. nustrale sp. nov. individuals (Mnus; blue squares), and (B), the differentiation between populations within M. nustrale sp. nov. Horizontal and vertical axis explain 23.9 and 8.5% of the variance, respectively, in (A) and 17.1 and 13.9% of the variance in (B).

Fig. 1 in Newly described and already endangered: a new mammal species endemic to Corsica

Fig. 1. Topographic map of Corsica (France) showing the current records of M. nustrale sp. nov. on this Mediterranean island (Courtois et al., 2011; Groupe Chiroptères Corse, 2019). The black dots represent capture sites, while the red stars indicate the presence of lactating females, including those living in the only known nursery roost of Ghisoni. A double circle indicates the location where the holotype of M. nustrale sp. nov. was found. Shades of grey represent areas above 100 m a.s.l.

Fig. 5 in Newly described and already endangered: a new mammal species endemic to Corsica

Fig. 5. External characters of Myotis nustrale sp. nov. Panels are close-ups of the female holotype (MNHN-ZM-2023-12), except the lower right one which is a picture from a released adult individual (Photo © Yann Le Bris). The upper left panel illustrates the stiff hairs running along the uropatagium, viewed from below. The upper right panel is the right foot with wing insertion to the base of the outer toe, in ventral view. The lower left panel illustrates the long and straight tragus and unnotched ear of the female holotype. On the portrait of the live individual, notice the black chin spot on the lower lip.

Fig. 2 in Newly described and already endangered: a new mammal species endemic to Corsica

Fig. 2. Bayesian topology based on five partitioned nuclear introns (SLC38A7, ABHD11, ACOX2, COPS7A and ROGDI). The outgroup (Pipistrellus pipistrellus) is not shown. Bayesian posterior probabilities (BPP) <60 are not shown, neither are within species BPP values. The holotype of Myotis nustrale sp. nov. (sample number MNA008_CO_ALB) is indicated by a white arrow.

opencc-by-4.0Dec 2023View details →

Hindcasting small mammal assemblages

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opencc-by-nc-1.0Jun 2020View details →

Sea Mammal Scapula Scoop or Shovel XCB-105-4115

Sea Mammal Scapula with holes and modifications. XCB-105-4115. Shovel or Scoop. 400 BCE-100 CE XCB-105 Adamagan (Aleut for place of walrus hunters) is at the head of Morzhovoi Bay, western Alaska Peninsula. It is a massive village with multiple occupations. When it was occupied 400 BCE-100 CE, it was the largest village in the Arctic with an estimated 1000 people. It also has limited occupations dated 2200-1700 BCE, 1000-600 BCE, and 900-1100 CE. The Western Alaska Peninsula artifacts are presented as a result of the research conducted under grants NSF 9630072, NSF 9814086, NSF 9996372, NSF 9996415, NSF 1139266, NSF 1321411. H. Maschner, Principal Investigator. These artifacts were scanned with either a Faro Edge Arm or a Minolta Vivid 9i. Processed in Geomagic or Polyworks. 2-8 photos were used for texture in Geomagic Wrap. Original digitizing work done at the IVL at Id. St. Univ. Subsequent processing and publication completed at Global Digital Heritage. Source: Objaverse 1.0 / Sketchfab

opencc-by-nc-1.0Jul 2020View details →

Harpoon Fragment, Sea Mammal Bone XCB-105-4000

Harpoon, Sea mammal bone. XCB-105-4000. 400 BCE-100 CE XCB-105 Adamagan (Aleut for place of walrus hunters) is at the head of Morzhovoi Bay, western Alaska Peninsula. It is a massive village with multiple occupations. When it was occupied 400 BCE-100 CE, it was the largest village in the Arctic with an estimated 1000 people. It also has limited occupations dated 2200-1700 BCE, 1000-600 BCE, and 900-1100 CE. The Western Alaska Peninsula artifacts are presented as a result of the research conducted under grants NSF 9630072, NSF 9814086, NSF 9996372, NSF 9996415, NSF 1139266, NSF 1321411. H. Maschner, Principal Investigator. These artifacts were scanned with either a Faro Edge Arm or a Minolta Vivid 9i. Processed in Geomagic or Polyworks. 2-8 photos were used for texture in Geomagic Wrap. Original digitizing work done at the IVL at Id. St. Univ. Subsequent processing and publication completed at Global Digital Heritage. Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Apr 2024View details →

State-dependent mortality, not behavior, fragments population distribution of a long-lived mammal after ecological disturbance

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.  Questions about data and code can be directed to rraffer1@uwyo.edu and tlasharr@uwyo.edu.

dryad32/100

Ecosystem roles and conservation status of bioturbator mammals

The action of biological reworking of soils is referred to as bioturbation, and many species of mammals globally have an important role in soil disturbance, modifying ecosystem characteristics. We examined global patterns in the distribution, conservation status, and threats to the world's bioturbator mammals and illustrated the relevant roles these species play in ecosystem engineering related to soil processes and services. We searched the data available on 3932 non‐flying land‐dwelling mammals included in the International Union for Conservation of Nature's (IUCN) Red List. Using existing literature and online databases, we determined that 869 (22%) of the non‐flying land‐dwelling mammals accessed can be considered as bioturbators in three distinct groups: foragers (n = 123), semi‐fossorial species (n = 652), and strictly fossorial species (n = 94). Of the world's bioturbator mammal species, 16% are threatened, 2% are already Extinct, and 8% are classified as Data Deficient. Foragers have the highest percentage of threatened (35%) and Extinct (5%) species, while strictly fossorial species have the highest percentage of Data Deficient species (12%). Although the majority of bioturbator mammal species are found in Asia (32%), Oceania is the continent with the highest percentage of threatened (27%) and Extinct (11%) bioturbator species, while Central and South America have the highest percentage of species classified as Data Deficient (24%). The threats experienced by the greatest number of bioturbator mammal species are activities related to agriculture and aquaculture (29%), and biological resource use (22%). Soil bioturbation can improve ecosystem health by reducing soil compaction, increasing nutrient cycling, soil moisture, microbe diversity, plant recruitment, and carbon storage. The loss of bioturbator mammals could trigger cascading effects throughout the ecosystems they inhabit. A better understanding of their conservation status is important so that effective conservation measures can be developed.

opencc-zeroOct 2021View details →

FIGURE 9 in Biogeographical affinity shapes relationships between ecological and phylogenetic mammal diversity and associations with their environmental correlates in the Americas

FIGURE 9. Non-stationary associations between ecological diversity (ED) and standard deviation in altitude (ALTstd). The maps show the spatial variation in local beta coefficients (b) for ALTstd as predictor of ED, obtained from the full model, i.e., including all environmental predictors and species richness (TR), after application of geographically weighted regression separately on data for each mammal group. Regions of (+) and negative (-) associations are indicated. Maps are in Mollweide equalarea projection. Dash lines on each map indicate the location of the tropics in the Northern and Southern Hemispheres.

FIGURE 5 in Biogeographical affinity shapes relationships between ecological and phylogenetic mammal diversity and associations with their environmental correlates in the Americas

FIGURE 5. Non-stationary associations between ecological diversity (ED) and net primary productivity (NPP). The maps show the spatial variation in local beta coefficients (b) for NPP as predictor of ED, obtained from the full model, i.e., including all environmental predictors and species richness (TR), after application of geographically weighted regression separately on data for each mammal group. Regions of (+) and negative (-) associations are indicated. Maps are in Mollweide equal-area projection. Dash lines on each map indicate the location of the tropics in the Northern and Southern Hemispheres.

FIGURE 4 in Biogeographical affinity shapes relationships between ecological and phylogenetic mammal diversity and associations with their environmental correlates in the Americas

FIGURE 4. Non-stationary associations between ecological diversity (ED) and mean annual temperature (TEMP). The maps show the spatial variation in local beta coefficients (b) for TEMP as predictor of ED, obtained from the full model, i.e., including all environmental predictors and species richness (TR), after application of geographically weighted regression separately on data for each mammal group. Regions of (+) and negative (-) associations are indicated. Maps are in Mollweide equal-area projection. Dash lines on each map indicate the location of tropics in the Northern and Southern Hemispheres.

FIGURE 8 in Biogeographical affinity shapes relationships between ecological and phylogenetic mammal diversity and associations with their environmental correlates in the Americas

FIGURE 8. Non-stationary associations between ecological diversity (ED) and coefficient of variation in annual precipitation (PRECcv). The maps show the spatial variation in local beta coefficients (b) for PRECcv as predictor of ED, obtained from the full model, i.e., including all environmental predictors and species richness (TR), after application of geographically weighted regression separately on data for each mammal group. Regions of (+) and negative (-) associations are indicated. Maps are in Mollweide equal-area projection. Dash lines on each map indicate the location of the tropics in the Northern and Southern Hemispheres.

FIGURE 7 in Biogeographical affinity shapes relationships between ecological and phylogenetic mammal diversity and associations with their environmental correlates in the Americas

FIGURE 7. Non-stationary associations between ecological diversity (ED) and annual range in temperature (TEMPr). The maps show the spatial variation in local beta coefficients (b) for TEMPr as predictor of ED, obtained from the full model, i.e., including all environmental predictors and species richness (TR), after application of geographically weighted regression separately on data for each mammal group. Regions of (+) and negative (-) associations are indicated. Maps are in Mollweide equalarea projection. Dash lines on each map indicate the location of the tropics in the Northern and Southern Hemispheres.

FIGURE 1 in Biogeographical affinity shapes relationships between ecological and phylogenetic mammal diversity and associations with their environmental correlates in the Americas

FIGURE 1. Spatial patterns of variation in the ecological diversity (ED) of different mammal groups over the Americas. Maps are in Mollweide equal-area projection. Dash lines on each map indicate the location of the tropics in the Northern and Southern Hemispheres.