Julie K. Young

Dr. Julie K. Young

Utah State University, Logan, Utah, USA

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 April 2014 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
PDF file
EMEvan L. MacLean
Evan L. MacLean
BHBrian Hare
Brian Hare
CNCharles L. Nunn
Charles L. Nunn
Elsa AddessiElsa Addessi
Elsa Addessi
FAFederica Amici
Federica Amici
YZYini Zhao
Yini Zhao
Significance: Although scientists have identified surprising cognitive flexibility in animals and potentially unique features of human psychology, we know less about the selective forces that favor cognitive evolution, or the proximate biological mechanisms underlying this process. We tested 36 species in two problem-solving tasks measuring self-control and evaluated the leading hypotheses regarding how and why cognition evolves. Across species, differences in absolute (not relative) brain volume best predicted performance on these tasks. Within primates, dietary breadth also predicted cognitive performance, whereas social group size did not. These results suggest that increases in absolute brain size provided the biological foundation for evolutionary increases in self-control, and implicate species differences in feeding ecology as a potential selective pressure favoring these skills.

1 February 2011 in BioScience
Verified
Journal Article
Closed access
JYJulie K. Young
Julie K. Young
KOKirk A. Olson
Kirk A. Olson
RRRichard P. Reading
Richard P. Reading
SASukh Amgalanbaatar
Sukh Amgalanbaatar
JBJoel Berger
Joel Berger

16 September 2020 in Evolutionary Applications
Verified
Journal Article
Open access
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CSChristopher J. Schell
Christopher J. Schell
LSLauren A. Stanton
Lauren A. Stanton
JYJulie K. Young
Julie K. Young
LALisa M. Angeloni
Lisa M. Angeloni
JLJoanna E. Lambert
Joanna E. Lambert
MMMaureen H. Murray
Maureen H. Murray
Human–wildlife interactions, including human–wildlife conflict, are increasingly common as expanding urbanization worldwide creates more opportunities for people to encounter wildlife. Wildlife–vehicle collisions, zoonotic disease transmission, property damage, and physical attacks to people or their pets have negative consequences for both people and wildlife, underscoring the need for comprehensive strategies that mitigate and prevent conflict altogether. Management techniques often aim to deter, relocate, or remove individual organisms, all of which may present a significant selective force in both urban and nonurban systems. Management‐induced selection may significantly affect the adaptive or nonadaptive evolutionary processes of urban populations, yet few studies explicate the links among conflict, wildlife management, and urban evolution. Moreover, the intensity of conflict management can vary considerably by taxon, public perception, policy, religious and cultural beliefs, and geographic region, which underscores the complexity of developing flexible tools to reduce conflict. Here, we present a cross‐disciplinary perspective that integrates human–wildlife conflict, wildlife management, and urban evolution to address how social–ecological processes drive wildlife adaptation in cities. We emphasize that variance in implemented management actions shapes the strength and rate of phenotypic and evolutionary change. We also consider how specific management strategies either promote genetic or plastic changes, and how leveraging those biological inferences could help optimize management actions while minimizing conflict. Investigating human–wildlife conflict as an evolutionary phenomenon may provide insights into how conflict arises and how management plays a critical role in shaping urban wildlife phenotypes.

14 February 2019 in Scientific Reports
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Journal Article
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SBStewart W. Breck
Stewart W. Breck
SPSharon A. Poessel
Sharon A. Poessel
PMPeter Mahoney
Peter Mahoney
JYJulie K. Young
Julie K. Young
Coyotes (Canis latrans) are highly adaptable, medium-sized carnivores that now inhabit nearly every large city in the United States and Canada. To help understand how coyotes have adapted to living in urban environments, we compared two ecologically and evolutionarily important behavioral traits (i.e., bold-shy and exploration-avoidance behavior) in two contrasting environments (i.e., rural and urban). Boldness is an individual’s reaction to a risky situation and exploration is an individual’s willingness to explore novel situations. Our results from both tests indicate that urban coyotes are bolder and more exploratory than rural coyotes and that within both populations there are individuals that vary across both spectrums. Bolder behavior in urban coyotes emerged over several decades and we speculate on possible processes (e.g., learning and selection) and site differences that could be playing a role in this behavioral adaptation. We hypothesize that an important factor is how people treat coyotes; in the rural area coyotes were regularly persecuted whereas in the urban area coyotes were rarely persecuted and sometimes positively rewarded to be in close proximity of people. Negative consequences of this behavioral adaptation are coyotes that become bold enough to occasionally prey on pets or attack humans.

9 June 2023 in Science
Verified
Journal Article
Closed access
MTMarlee A. Tucker
Marlee A. Tucker
ASAafke Schipper
Aafke Schipper
TATempe S. F. Adams
Tempe S. F. Adams
NANina Attias
Nina Attias
TATal Avgar
Tal Avgar
TMThomas Mueller
Thomas Mueller
COVID-19 lockdowns in early 2020 reduced human mobility, providing an opportunity to disentangle its effects on animals from those of landscape modifications. Using GPS data, we compared movements and road avoidance of 2300 terrestrial mammals (43 species) during the lockdowns to the same period in 2019. Individual responses were variable with no change in average movements or road avoidance behavior, likely due to variable lockdown conditions. However, under strict lockdowns 10-day 95th percentile displacements increased by 73%, suggesting increased landscape permeability. Animals’ 1-hour 95th percentile displacements declined by 12% and animals were 36% closer to roads in areas of high human footprint, indicating reduced avoidance during lockdowns. Overall, lockdowns rapidly altered some spatial behaviors, highlighting variable but substantial impacts of human mobility on wildlife worldwide.

12 August 2020 in Animal Conservation
Verified
Journal Article
Open access
PDF file
KGKaitlyn M. Gaynor
Kaitlyn M. Gaynor
MCMichael J. Cherry
Michael J. Cherry
SGSophie L. Gilbert
Sophie L. Gilbert
MKMichel T. Kohl
Michel T. Kohl
CLCourtney L. Larson
Courtney L. Larson
JSJustine A. Smith
Justine A. Smith
Research on the ecology of fear has highlighted the importance of perceived risk from predators and humans in shaping animal behavior and physiology, with potential demographic and ecosystem‐wide consequences. Despite recent conceptual advances and potential management implications of the ecology of fear, theory and conservation practices have rarely been linked. Many challenges in animal conservation may be alleviated by actively harnessing or compensating for risk perception and risk avoidance behavior in wild animal populations. Integration of the ecology of fear into conservation and management practice can contribute to the recovery of threatened populations, human–wildlife conflict mitigation, invasive species management, maintenance of sustainable harvest and species reintroduction plans. Here, we present an applied framework that links conservation interventions to desired outcomes by manipulating ecology of fear dynamics. We discuss how to reduce or amplify fear in wild animals by manipulating habitat structure, sensory stimuli, animal experience (previous exposure to risk) and food safety trade‐offs to achieve management objectives. Changing the optimal decision‐making of individuals in managed populations can then further conservation goals by shaping the spatiotemporal distribution of animals, changing predation rates and altering risk effects that scale up to demographic consequences. We also outline future directions for applied research on fear ecology that will better inform conservation practices. Our framework can help scientists and practitioners anticipate and mitigate unintended consequences of management decisions, and highlight new levers for multi‐species conservation strategies that promote human–wildlife coexistence.