Long-lived animals with a low annual reproductive output need a long time to recover from population crashes and are, thus, likely to face high extinction risk, if the current global environmental change will increase mortality rates. To aid conservation of those species, knowledge on the variability of mortality rates is essential. Unfortunately, however, individual-based multiyear data sets that are required for that have only rarely been collected for free-ranging long-lived mammals. Here, we used a five-year data set comprising activity data of 1,445 RFID-tagged individuals of two long-lived temperate zone bat species, Natterer's bats () and Daubenton's bats (), at their joint hibernaculum. Both species are listed as being of high conservation interest by the European Habitats Directive. Applying mixed-effects logistic regression, we explored seasonal survival differences in these two species which differ in foraging strategy and phenology. In both species, survival over the first winter of an individual's life was much lower than survival over subsequent winters. Focussing on adults only, seasonal survival patterns were largely consistent with higher winter and lower summer survival but varied in its level across years in both species. Our analyses, furthermore, highlight the importance of species-specific time periods for survival. Daubenton's bats showed a much stronger difference in survival between the two seasons than Natterer's bats. In one exceptional winter, the population of Natterer's bats crashed, while the survival of Daubenton's bats declined only moderately. While our results confirm the general seasonal survival pattern typical for hibernating mammals with higher winter than summer survival, they also show that this pattern can be reversed under particular conditions. Overall, our study points toward a high importance of specific time periods for population dynamics and suggests species-, population-, and age class-specific responses to global climate change.
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http://dx.doi.org/10.1002/ece3.5292 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Earth Sciences, Montana State University, Bozeman, MT 59717.
Climate-driven changes in high-elevation forest distribution and reductions in snow and ice cover have major implications for ecosystems and global water security. In the Greater Yellowstone Ecosystem of the Rocky Mountains (United States), recent melting of a high-elevation (3,091 m asl) ice patch exposed a mature stand of whitebark pine () trees, located ~180 m in elevation above modern treeline, that date to the mid-Holocene (c. 5,950 to 5,440 cal y BP).
View Article and Find Full Text PDFAfrican elephants () are megaherbivores of the African savannas requiring extensive ranges that can provide critical resources for their survival and reproduction at different spatiotemporal scales. We studied seasonal differences in home range sizes and daily distance to the nearest surface water sources by five male and 10 female African elephants in the eastern Okavango Panhandle in northern Botswana between 2014 and 2017. We hypothesized that (i) elephant home ranges would be larger in the wet than in the dry season (because critical resources tend to be less localized in the wet than in the dry season), (ii) the daily distance of the elephants to the nearest ephemeral surface water sources would be larger in the dry than in the wet season because many of the ephemeral water sources would be dry in the dry season and elephants would start moving towards permanent water sources such as rivers, and lastly (iii) that the differences in elephant home ranges and daily distance to water would differ between sexes.
View Article and Find Full Text PDFNat Med
January 2025
Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
Respiratory syncytial virus (RSV) causes a substantial health burden among infants and older adults. Prefusion F protein-based vaccines have shown high efficacy against RSV disease in clinical trials, offering promise for mitigating this burden through maternal and older adult immunization. Employing an individual-based model, we evaluated the impact of RSV vaccination on hospitalizations and deaths in 13 high-income countries, assuming that the vaccine does not prevent infection or transmission.
View Article and Find Full Text PDFVaccine
January 2025
Department of Pediatrics, Section of Infectious Diseases and Global Health, Yale University School of Medicine, New Haven, CT, United States; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States; Yale Institute for Global Health, Yale University, New Haven, CT, United States; Yale Center for Infection and Immunity, Yale University, New Haven, CT, United States. Electronic address:
Background: Pneumococcal conjugate vaccines (PCV) reduced invasive disease, but the overall prevalence of pneumococcal nasopharyngeal colonization among children has not changed significantly. Our knowledge of which serotypes, once colonized, hold a higher likelihood to cause invasive disease is limited.
Methods: Serotype-specific invasive capacity (IC) of Streptococcus pneumoniae was estimated using an enhanced population-based invasive pneumococcal disease (IPD) surveillance in children <7 years of age in Massachusetts and surveillance of nasopharyngeal (NP) colonization in selected Massachusetts communities in corresponding respiratory seasons.
Ecotoxicol Environ Saf
January 2025
Department of Basic Education, University of Education, Winneba, Ghana.
Urbanization and industrialization have drastically increased ambient air pollution in urban areas globally from vehicle emissions, solid fuel combustion and industrial activities leading to some of the worst air quality conditions. Air pollution in Ghana causes approximately 28,000 premature deaths and disabilities annually, ranking as a leading cause of mortality and disability-adjusted life years. This study evaluated the annual concentrations of PM NO and O in the ambient air of 57 cities in Ghana for two decades using historical and forecasted data from satellite measurements.
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