Publications by authors named "Marie I Tosa"

Article Synopsis
  • Arthropods play a crucial role in ecosystems but are often overlooked in research, impacting conservation efforts.
  • New methods allow for efficient mass trapping, identification, and quantification of arthropods, enabling the creation of detailed community datasets that enhance our understanding of their distribution and ecological value.
  • Using DNA barcode mapping and deep neural net modeling, researchers generated distribution maps for 76 arthropod species in a temperate forest, revealing key insights about species richness and community composition, particularly highlighting the importance of old-growth forests and stream courses for conservation.
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Sociality directly influences mating success, survival rates, and disease, but ultimately likely evolved for its fitness benefits in a challenging environment. The tradeoffs between the costs and benefits of sociality can operate at multiple scales, resulting in different interpretations of animal behavior. We investigated the influence of intrinsic (, relatedness, age) and extrinsic factors (, land cover type, season) on direct contact (simultaneous GPS locations ≤ 25 m) rates of bighorn sheep () at multiple scales near the Waterton-Glacier International Peace Park.

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Intraspecific social behavior can be influenced by both intrinsic and extrinsic factors. While much research has focused on how characteristics of individuals influence their roles in social networks, we were interested in the role that landscape structure plays in animal sociality at both individual (local) and population (global) levels. We used female white-tailed deer (Odocoileus virginianus) in Illinois, USA, to investigate the potential effect of landscape on social network structure by weighting the edges of seasonal social networks with association rate (based on proximity inferred from GPS collar data).

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Social interactions can influence infectious disease dynamics, particularly for directly transmitted pathogens. Therefore, reliable information on contact frequency within and among groups can better inform disease modeling and management. We compared three methods of assessing contact patterns: (1) space-use overlap (volume of interaction [VI]), (2) direct contact rates measured by simultaneous global positioning system (GPS) locations (<10 m apart), and (3) direct contact rates measured by proximity loggers (PLs; 1-m detection) among female white-tailed deer (Odocoileus virginianus).

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