5 results match your criteria: "Department of Natural Resources and Environmental Science University of Nevada Reno Nevada USA.[Affiliation]"
Estimating correlations among demographic parameters is an important method in population ecology. A recent paper by Deane et al. ( 13:e9847, 2023) attempted to explore the effects of different priors for covariance matrices on inference when using mark-recovery data.
View Article and Find Full Text PDFEcol Evol
July 2024
Wildlife Conservation Society Bozeman Montana USA.
Use of dens during winter is an important strategy for American black bears () for both energy conservation and reproduction; and occupancy of suitable den sites has implications for reproductive fitness. Denning strategies may change as a result of changing climatic conditions and habitat loss. Black bears occupy arid environments in the eastern Sierra Nevada and the western ranges of the Great Basin Ecosystem.
View Article and Find Full Text PDFThe estimation of demographic parameters is a key component of evolutionary demography and conservation biology. Capture-mark-recapture methods have served as a fundamental tool for estimating demographic parameters. The accurate estimation of demographic parameters in capture-mark-recapture studies depends on accurate modeling of the observation process.
View Article and Find Full Text PDFSex ratios affect population dynamics and individual fitness, and changing sex ratios can be indicative of shifts in sex-specific survival at different life stages. While climate and landscape changes alter sex ratios of wild bird populations, long-term, landscape scale assessments of sex ratios are rare. Further, little work has been done to understand changes in sex ratios in avian communities.
View Article and Find Full Text PDFAs global systems rapidly change, our collective ability to predict future ecological dynamics will become increasingly important for successful natural resource management. By merging stakeholder objectives with system uncertainty, and by adapting actions to changing systems and knowledge, adaptive resource management (ARM) provides a rigorous platform for making sound decisions in a changing world. Critically, however, applications of ARM could be improved by employing benchmarks (i.
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