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opennotspecifiedDec 2016View details →

FIGURE 12 in A remarkable new species of winter stonefly (Plecoptera: Capniidae) from Southeastern China

FIGURE 12. Capnia zijinshana, sp. nov. Female habitus, dorsal view.

opennotspecifiedDec 2011View details →

FIGURE 10 in Notes on winter flies Trichoceridae (Diptera) of Mongolia with description of new species

FIGURE 10. Type locality of Trichocera (Saltrichocera) chuluuta sp. nov.

opennotspecifiedMar 2005View details →

Fig. 1. a in Predatory Hypogaeic Beetles are Attracted to Buried Winter Moth (Lepidoptera: Geometridae) Pupae: Evidence Using a New Trap Design

Fig. 1. a) Exclusion cage and b) hypogaeic trap.

opencc-by-4.0Jul 2023View details →

Characteristics, Origins, and Atmospheric Processes of Amines in Fine Aerosol Particles in Winter in China

data

opencc-zeroFeb 2024View details →

Counts of winter ticks on live-captured moose in western US

Data include counts of winter ticks (ticks.hind) along transects of variable length (transect.cm.hind) on the rumps of live-captured moose in 5 western US states (state). Other attribute data include the moose ID, capture date, local moose density (density.category), migratory status (migratory), presence of other ungulates on shared winter range (shared.winter.range). A suite of climate metrics are also included for each record specific to that capture location and year, labelled according to the biological season during which they were summarized (q=questing [fall]; d=dropoff [spring]; s=summer) as described in the manuscript. Metrics include the proprortionate snow cover (SnowProp), amount of snow water equivalent during midpoint and endpoint of season (SWEmid, SWEend), mean temperature (TempMean), number of days below 0 and -20 degrees C (TempDays0, TempDaysm20), average relative humidity daily minimum and maximum (RHmin, RHmax), cumulative precipitation (Precip), and landcover category (landcover). Lastly, also included are quadratic terms for some variables (_2) and 10-year averages of each metric spanning the study period, 2013-2022, (_avg).

opencc-by-4.0Apr 2024View details →

Data for WISSDOM Synthesis in a winter case 20-21 Jan. 2013

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opencc-by-4.0Dec 2014View details →

Quercus texana (Fagaceae) - twig - close-up winter terminal bud

Image of Quercus texana (Fagaceae) - twig - close-up winter terminal bud

Figure 5 in Grasshoppers in winter: adults observed in a xerothermic oasis in the Italian Alps

Figure 5. Average number of individuals recorded in 100 m of transect.

Figure 1 in Grasshoppers in winter: adults observed in a xerothermic oasis in the Italian Alps

Figure 1. Location of the study area in the Western Italian Alps.

Figure 8 in Grasshoppers in winter: adults observed in a xerothermic oasis in the Italian Alps

Figure 8. Tetrix depressa (22 February 2019).

Figure 7 in Grasshoppers in winter: adults observed in a xerothermic oasis in the Italian Alps

Figure 7. Mating of Chorthippus brunneus brunneus (18 February 2019).

Figure 4 in Grasshoppers in winter: adults observed in a xerothermic oasis in the Italian Alps

Figure 4. Average number of species recorded in 100 m of transect.

Figure 2 in Grasshoppers in winter: adults observed in a xerothermic oasis in the Italian Alps

Figure 2. Plots monitored in 2019 and 2020.

opencc-zeroDec 2021View details →

Landscape cover type, not social dominance, is associated with the winter movement patterns of snowy owls in temperate areas

Migrating animals occur along a continuum from species that spend the nonbreeding season at a fixed location to species that are nomadic during the nonbreeding season, essentially continuously moving. Such variation is likely driven by the economics of territoriality or heterogeneity in the environment. The Snowy Owl (Bubo scandiacus) is known for its complex seasonal movements, and thus an excellent model to test these ideas, as many individuals travel unpredictably along irregular routes during both the breeding and nonbreeding seasons. Two possible explanations for this large variation in the propensity to move are: (1) dominance hierarchies in which dominant individuals (adult females in this case) monopolize some key, consistent resources, and move less than subdominants and (2) habitat heterogeneity in which individuals foraging in rich and less heterogenic environments are less mobile. We analyzed fine-scale telemetry data (GPS/GSM) from 50 Snowy Owls tagged in eastern and central North America from 2013–2019, comparing space use during the winter period according to sex and age, and to land cover attributes. We used variograms to classify individuals as nomadic (58%) or range-resident (42%), and found that nomadic owls had ten times larger wintering areas than range-resident owls. The frequency of nomadism was similar in socially-dominant adult females, immatures and males. However, nomadism increased from west to east, and north to south, and was positively associated with use of water and negatively associated with croplands. We conclude that many individual Snowy Owls in Eastern North America are nomadic during the nonbreeding season and that movement patterns during this time are driven primarily by extrinsic factors, specifically heterogeneity in habitat and prey availability, as opposed to intrinsic factors associated with spacing behavior, such as age and sex.

opencc-zeroJan 2022View details →

Ecological relationships among habitat type, food nutrients, parasites and hormones in wild boar during winter

Habitat quality and parasite assembly influence wildlife health, and they are key indicators of health and survivability of wildlife populations. To investigate the potential ecological relationships among habitat type, food nutrients, parasites and hormones in wild boar (Sus scrofa), we collected samples of wild boar feces and available plants in their habitat by line transects during winter. Along transects, we identified the composition of plants foraged by wild boar and measured the content of nutrients in available plants to estimate nutrient intake. We also quantified parasites and hormones in wild boar fecal samples. We compared food nutrients among different forest types and explored possible relationships among estimated nutrient intake, parasites and hormones. We found coniferous forest had positive effects on estimated fat intake and negative effects on estimated protein and fiber intake by wild boar. Furthermore, we revealed that estimated fat intake was negatively correlated with Metastrongylus elongatus parasites and positively correlated with triiodothyronine (T3). In contrast, estimated protein intake was positively correlated with M. elongatus and negatively correlated with T3. Finally, we found negative relationships between T3 concentrations and loads of Ascaris suum parasites and between cortisol (COR) and loads of Trichuris suis parasites. These insights on ecological relationships help identify potential dietary parameters in winter that could help predict and manage parasite and hormone responses for wild boar population recovery.Habitat quality and parasite assembly influence wildlife health, and they are key indicators of health and survivability of wildlife populations. To investigate the potential ecological relationships among habitat type, food nutrients, parasites and hormones in wild boar (Sus scrofa), we collected samples of wild boar feces and available plants in their habitat by line transects during winter. Along transects, we identified the composition of plants foraged by wild boar and measured the content of nutrients in available plants to estimate nutrient intake. We also quantified parasites and hormones in wild boar fecal samples. We compared food nutrients among different forest types and explored possible relationships among estimated nutrient intake, parasites and hormones. We found coniferous forest had positive effects on estimated fat intake and negative effects on estimated protein and fiber intake by wild boar. Furthermore, we revealed that estimated fat intake was negatively correlated with Metastrongylus elongatus parasites and positively correlated with triiodothyronine (T3). In contrast, estimated protein intake was positively correlated with M. elongatus and negatively correlated with T3. Finally, we found negative relationships between T3 concentrations and loads of Ascaris suum parasites and between cortisol (COR) and loads of Trichuris suis parasites. These insights on ecological relationships help identify potential dietary parameters in winter that could help predict and manage parasite and hormone responses for wild boar population recovery.

opencc-zeroMar 2022View details →

Year-round monitoring at a Pacific coastal campus reveals similar winter and spring collision mortality and high vulnerability of the Varied Thrush

Bird-window collisions are a leading cause of direct anthropogenic avian mortality, yet our state of knowledge regarding this threat relies heavily on eastern North American studies. Seasonal patterns of collision mortality may differ along the Pacific coast, and western North American species remain understudied. We therefore surveyed a stratified random sample of 8 buildings for collisions at the University of British Columbia, Vancouver, Canada over 45-day periods during 2 winters, 1 spring, 1 summer and 1 fall season between January 22, 2015 and March 15, 2017. After accounting for the rate of scavenging and efficiency of observers in finding carcasses, we estimated that 360 collision fatalities (95% C.I.: 281 to 486) occurred over 225 days of monitoring. Collision mortality was highest in fall, but in contrast to most published research, collision mortality was intermediate in both winter and spring, and was lowest in summer. In winter 2017, we performed point count surveys to assess whether individual species are disproportionately vulnerable to collisions when accounting for population size, and found that the Varied Thrush (Ixoreus naevius) was 76.9 times more likely to collide with buildings, relative to average species vulnerability in winter. To our knowledge, this is the first study to report the Varied Thrush as a species that is disproportionately vulnerable to collisions. Further studies are needed to assess the vulnerability of Western North American species and subspecies and to determine whether similar patterns of seasonal collision mortality are found elsewhere.

opencc-by-4.0Jul 2019View details →

Fig. 4 in Current Status Of Anserinae Wintering In Azov-Black Sea Region Of Ukraine

Fig. 4. Distribution of regularly wintering Anserinae in the Azov-Black Sea region of Ukraine (based on 13 midwinter counts 2005–2017).

opencc-by-4.0Sep 2018View details →

Fig. 5 in Results Of The 10-Year Monitoring Of Bat (Chiroptera, Vespertilionidae) Winter Aggregation From The North-Eastern Ukraine (Liptsy Mines, Kharkiv Region)

Fig. 5. Fluctuations in the number of hibernating batsin Liptsy 1: n— number of counts; Mdau — M. daubentonii; Mdas — M. dasycneme; Paur — P. auritus. In winters 2002–2003 and 2003–2004 there was censured any bats; in winter 2004–2005 censuses were not conducted.

opencc-by-4.0Apr 2022View details →

DYAMOND WINTER OF GRIST NONHYDROSTATIC MODEL (A21)

AS IS