25 results on '"LaSharr, Tayler N."'
Search Results
2. Migration distance and maternal resource allocation determine timing of birth in a large herbivore
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Aikens, Ellen O., Dwinnell, Samantha P.H., Lasharr, Tayler N., Jakopak, Rhiannon P., Fralick, Gary L., Randall, Jill, Kaiser, Rusty, Thonhoff, Mark, Kauffman, Matthew J., and Monteith, Kevin L.
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- 2021
3. Diel timing of migration is not plastic in a migratory ungulate
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Jakopak, Rhiannon P., Sawyer, Hall, LaSharr, Tayler N., Randall, Jill, Dwinnell, Samantha P.H., Fralick, Gary L., and Monteith, Kevin L.
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- 2022
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4. Cannot outrun the past: age, nutrition, and cohort influence horn size in pronghorn.
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Tafelmeyer, Lee E., LaSharr, Tayler N., Binfet, Justin, Bredehoft, Molly, Hiatt, Greg, Lutz, Daryl, Mitchell, Carl D., and Monteith, Kevin L.
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SNOW accumulation , *ANIMAL young , *BODY size , *RESOURCE allocation , *UNGULATES - Abstract
In North America, most ungulate species exhibit life‐history traits typical of long‐lived, iteroparous species wherein young males tend to prioritize essential life functions including body growth and maintenance that constrains allocation of resources to horn, antler, and pronghorn growth. As a result, males of most ungulate species require several years of growth before reaching asymptotic body size and thereafter, peak weapon size is attained. Unique among ungulate species in North America, pronghorn possess a suite of life‐history traits resulting in a precocious (i.e., unusually early development) pace of life relative to other North American ungulates. We tested the hypothesis that the fast pace of life of pronghorn extends to precocious development of large horns, and evaluated how horn size was affected by environmental conditions during the year they were grown and the potential for cohort effects associated with environmental signatures during the year of birth. We evaluated the influence of age and the environment on horn size of pronghorn using data collected from 1,789 male pronghorn harvested from 2019 to 2022 in Wyoming, USA. Pronghorn attained 95% of their peak horn size by 3.5 years old. Climatic conditions influenced horn growth through cohort effects and year of growth pathways. Snow depth during the year of birth positively influenced horn size, whereas the effects of environmental conditions during the year of horn growth were dependent on age. For young animals, snow depth and moderate drought positively influenced horn size during the year of horn growth, but the effect was negligible for prime aged and old animals. The precocious nature of pronghorn extended to their horn growth characteristics, resulting in early attainment of a large proportion of their peak horn size. The unique ecology of pronghorn and rapid attainment of size early in life can allow for greater flexibility to balance hunter opportunity and production of large‐horned males for pronghorn as compared with other ungulates. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Horns, hunters, and harvest: re‐examining management paradigms for pronghorn.
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Tafelmeyer, Lee E., LaSharr, Tayler N., Binfet, Justin, Bredehoft, Molly, Hiatt, Greg, Lutz, Daryl W., O'Brien, Heather, Mitchell, Carl D., and Monteith, Kevin L.
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WILDLIFE conservation , *SEX ratio , *ELK , *BIOLOGY , *MALES - Abstract
The sustainable use of wildlife is foundational to the success of the North American model of wildlife conservation. Harvest management often is shaped through both species biology and public desires. The long timespan it takes males of most ungulate species to reach peak weapon size has created a situation in harvest management in which harvest strategies cannot prioritize both generous hunter opportunity and opportunities to pursue large‐weaponed males; therefore, current harvest paradigms prioritize one at the expense of the other. In contrast to other species, pronghorn (
Antilocapra americana ) attain the majority of their peak horn size early in life. The rapid development of horns relative to their age may allow for liberal harvest without sacrificing the opportunity for hunters to harvest males with large horns. We evaluated the influence of sex ratios and average age of harvested males on the average horn size of harvested male pronghorn from 2019 to 2022 in 9 hunt areas in Wyoming, USA. Although mean age of harvested males was negatively affected by rate of harvest, increases in mean age at harvest led to only slight increases in mean horn size (i.e., a 1‐year increase in mean age increased mean horn size by 2.1 cm [~1 inch]). The proportion of the harvest composed of large‐horned males was not influenced by mean age of harvest or sex ratio of the population. Based on simulated populations, increasing harvest led to an increase in the number of large‐weaponed pronghorn in the harvest—a relationship that existed for bighorn sheep (Ovis canadensis ) and elk (Cervus canadensis ) but only at low to moderate rates of harvest. The comparatively young age that pronghorn attain near‐peak horn size alleviates what is otherwise a tradeoff between hunter opportunity and managing for large horn size that is evident in management of other ungulate species. Though rarely a reality in management for large ungulates, for pronghorn, liberal harvest may be possible while still providing opportunity to harvest males with large horns. [ABSTRACT FROM AUTHOR]- Published
- 2024
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6. Effectiveness of Partial Sedation to Reduce Stress in Captured Mule Deer
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ORTEGA, ANNA C., DWINNELL, SAMANTHA P., LASHARR, TAYLER N., JAKOPAK, RHIANNON P., DENRYTER, KRISTIN, HUGGLER, KATEY S., HAYES, MATTHEW M., AIKENS, ELLEN O., VERZUH, TANA L., MAY, ALEXANDER B., KAUFFMAN, MATTHEW J., and MONTEITH, KEVIN L.
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- 2020
7. Rapid acquisition of memory in a complex landscape by a mule deer
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Jakopak, Rhiannon P., Lasharr, Tayler N., Dwinnell, Samantha P. H., Fralick, Gary L., and L.Monteith, Kevin
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- 2019
8. Biological relevance of antler, horn, and pronghorn size in records programs
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LaSharr, Tayler N., Long, Ryan A., Heffelfinger, James R., Bleich, Vernon C., Krausman, Paul R., Bowyer, R. Terry, Shannon, Justin M., Rominger, Eric M., Lehman, Chadwick P., Cox, Mike, and Monteith, Kevin L.
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- 2019
9. Shifts in risk sensitivity and resource availability alter fat stores for a large mammal following extreme winter conditions
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LaSharr, Tayler N., primary, Jakopak, Rhiannon P., additional, Bårdsen, Bård‐Jørgen, additional, Robinson, Timothy J., additional, Dwinnell, Samantha P. H., additional, Randall, Jill, additional, Kaiser, Rusty C., additional, Thonhoff, Mark, additional, Scurlock, Brandon, additional, Fieseler, Troy, additional, Hymas, Neil, additional, and Monteith, Kevin L., additional
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- 2023
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10. Horn Size and Nutrition in Mountain Sheep : Can Ewe Handle the Truth?
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MONTEITH, KEVIN L., LONG, RYAN A., STEPHENSON, THOMAS R., BLEICH, VERNON C., BOWYER, R. TERRY, and LASHARR, TAYLER N.
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- 2018
11. METRICS OF HARVEST FOR UNGULATE POPULATIONS: MISCONCEPTIONS, LURKING VARIABLES, AND PRUDENT MANAGEMENT
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Bowyer, R. Terry, Stewart, Kelley M., Bleich, Vernon C., Whiting, Jericho C., Monteith, Kevin L., Blum, Marcus E., and LaSharr, Tayler N.
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Population biology ,Company business management ,General interest ,News, opinion and commentary - Abstract
Biologists often must use incomplete information to make recommendations concerning harvest of large mammals. Consequently, those recommendations must draw on a firm understanding of the ecology of the species in question, along with selection of the most applicable population characteristics on which to base harvest--both essential components for prudent management. Density-dependent processes, which are ubiquitous among populations of large mammals, may be counterintuitive because of unexpected patterns in recruitment coincident with changes in population size. Misconceptions concerning population dynamics of ungulates also can occur when demographics are based solely on correlations with environmental factors. Further, the concept of a harvestable surplus can be misleading for managing ungulate populations, because of the parabolic relationship between population size and number of recruits--harvest determines the surplus rather than vice versa. Understanding consequences of mortality, especially relative components of compensatory or additive mortality, also is necessary. Knowledge of the proximity of an ungulate population to ecological carrying capacity (K) is required to fully assess whether most mortality is compensatory or additive. We describe selected life-history traits and population characteristics of ungulates useful in parametrizing where populations are in relation to K, thereby allowing for a reasonable harvest despite some uncertainty in population size. We advocate an adaptive-management approach while monitoring those life-history traits to evaluate the suitability of a particular harvest strategy. ALCES VOL. 56: 15-38 (2020) Key Words: adaptive management, additive mortality, compensatory mortality, density dependence, harvest metrics, harvestable surplus, harvesting females, life-history characteristics, modeling, prudent management, Humans have engaged in organized hunting for millennia (Hull 1964). In the past 2 centuries, considerable effort has been focused on restoring and conserving populations of wildlife in North America [...]
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- 2020
12. Behavioral responses of terrestrial mammals to COVID-19 lockdowns
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Tucker, Marlee A., primary, Schipper, Aafke M., additional, Adams, Tempe S. F., additional, Attias, Nina, additional, Avgar, Tal, additional, Babic, Natarsha L., additional, Barker, Kristin J., additional, Bastille-Rousseau, Guillaume, additional, Behr, Dominik M., additional, Belant, Jerrold L., additional, Beyer, Dean E., additional, Blaum, Niels, additional, Blount, J. David, additional, Bockmühl, Dirk, additional, Pires Boulhosa, Ricardo Luiz, additional, Brown, Michael B., additional, Buuveibaatar, Bayarbaatar, additional, Cagnacci, Francesca, additional, Calabrese, Justin M., additional, Černe, Rok, additional, Chamaillé-Jammes, Simon, additional, Chan, Aung Nyein, additional, Chase, Michael J., additional, Chaval, Yannick, additional, Chenaux-Ibrahim, Yvette, additional, Cherry, Seth G., additional, Ćirović, Duško, additional, Çoban, Emrah, additional, Cole, Eric K., additional, Conlee, Laura, additional, Courtemanch, Alyson, additional, Cozzi, Gabriele, additional, Davidson, Sarah C., additional, DeBloois, Darren, additional, Dejid, Nandintsetseg, additional, DeNicola, Vickie, additional, Desbiez, Arnaud L. J., additional, Douglas-Hamilton, Iain, additional, Drake, David, additional, Egan, Michael, additional, Eikelboom, Jasper A.J., additional, Fagan, William F., additional, Farmer, Morgan J., additional, Fennessy, Julian, additional, Finnegan, Shannon P., additional, Fleming, Christen H., additional, Fournier, Bonnie, additional, Fowler, Nicholas L., additional, Gantchoff, Mariela G., additional, Garnier, Alexandre, additional, Gehr, Benedikt, additional, Geremia, Chris, additional, Goheen, Jacob R., additional, Hauptfleisch, Morgan L., additional, Hebblewhite, Mark, additional, Heim, Morten, additional, Hertel, Anne G., additional, Heurich, Marco, additional, Hewison, A. J. Mark, additional, Hodson, James, additional, Hoffman, Nicholas, additional, Hopcraft, J. Grant C., additional, Huber, Djuro, additional, Isaac, Edmund J., additional, Janik, Karolina, additional, Ježek, Miloš, additional, Johansson, Örjan, additional, Jordan, Neil R., additional, Kaczensky, Petra, additional, Kamaru, Douglas N., additional, Kauffman, Matthew J., additional, Kautz, Todd M., additional, Kays, Roland, additional, Kelly, Allicia P., additional, Kindberg, Jonas, additional, Krofel, Miha, additional, Kusak, Josip, additional, Lamb, Clayton T., additional, LaSharr, Tayler N., additional, Leimgruber, Peter, additional, Leitner, Horst, additional, Lierz, Michael, additional, Linnell, John D.C., additional, Lkhagvaja, Purevjav, additional, Long, Ryan A., additional, López-Bao, José Vicente, additional, Loretto, Matthias-Claudio, additional, Marchand, Pascal, additional, Martin, Hans, additional, Martinez, Lindsay A., additional, McBride, Roy T., additional, McLaren, Ashley A.D., additional, Meisingset, Erling, additional, Melzheimer, Joerg, additional, Merrill, Evelyn H., additional, Middleton, Arthur D., additional, Monteith, Kevin L., additional, Moore, Seth A., additional, Van Moorter, Bram, additional, Morellet, Nicolas, additional, Morrison, Thomas, additional, Müller, Rebekka, additional, Mysterud, Atle, additional, Noonan, Michael J, additional, O’Connor, David, additional, Olson, Daniel, additional, Olson, Kirk A., additional, Ortega, Anna C., additional, Ossi, Federico, additional, Panzacchi, Manuela, additional, Patchett, Robert, additional, Patterson, Brent R., additional, de Paula, Rogerio Cunha, additional, Payne, John, additional, Peters, Wibke, additional, Petroelje, Tyler R., additional, Pitcher, Benjamin J., additional, Pokorny, Boštjan, additional, Poole, Kim, additional, Potočnik, Hubert, additional, Poulin, Marie-Pier, additional, Pringle, Robert M., additional, Prins, Herbert H.T., additional, Ranc, Nathan, additional, Reljić, Slaven, additional, Robb, Benjamin, additional, Röder, Ralf, additional, Rolandsen, Christer M., additional, Rutz, Christian, additional, Salemgareyev, Albert R., additional, Samelius, Gustaf, additional, Sayine-Crawford, Heather, additional, Schooler, Sarah, additional, Şekercioğlu, Çağan H., additional, Selva, Nuria, additional, Semenzato, Paola, additional, Sergiel, Agnieszka, additional, Sharma, Koustubh, additional, Shawler, Avery L., additional, Signer, Johannes, additional, Silovský, Václav, additional, Silva, João Paulo, additional, Simon, Richard, additional, Smiley, Rachel A., additional, Smith, Douglas W., additional, Solberg, Erling J., additional, Ellis-Soto, Diego, additional, Spiegel, Orr, additional, Stabach, Jared, additional, Stacy-Dawes, Jenna, additional, Stahler, Daniel R., additional, Stephenson, John, additional, Stewart, Cheyenne, additional, Strand, Olav, additional, Sunde, Peter, additional, Svoboda, Nathan J., additional, Swart, Jonathan, additional, Thompson, Jeffrey J., additional, Toal, Katrina L., additional, Uiseb, Kenneth, additional, VanAcker, Meredith C., additional, Velilla, Marianela, additional, Verzuh, Tana L., additional, Wachter, Bettina, additional, Wagler, Brittany L., additional, Whittington, Jesse, additional, Wikelski, Martin, additional, Wilmers, Christopher C., additional, Wittemyer, George, additional, Young, Julie K., additional, Zięba, Filip, additional, Zwijacz-Kozica, Tomasz, additional, Huijbregts, Mark A. J., additional, and Mueller, Thomas, additional
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- 2023
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13. Behavioral responses of terrestrial mammals to COVID-19 lockdowns
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Tucker, Marlee A., Schipper, Aafke M., Adams, Tempe S. F., Attias, Nina, Avgar, Tal, Babic, Natarsha L., Barker, Kristin J., Bastille-Rousseau, Guillaume, Behr, Dominik M., Belant, Jerrold L., Beyer, Dean E., Blaum, Niels, Blount, J. David, Bockmühl, Dirk, Pires Boulhosa, Ricardo Luiz, Brown, Michael B., Buuveibaatar, Bayarbaatar, Cagnacci, Francesca, Calabrese, Justin M., Černe, Rok, Chamaillé-Jammes, Simon, Chan, Aung Nyein, Chase, Michael J., Chaval, Yannick, Chenaux-Ibrahim, Yvette, Cherry, Seth G., Ćirović, Duško, Çoban, Emrah, Cole, Eric K., Conlee, Laura, Courtemanch, Alyson, Cozzi, Gabriele, Davidson, Sarah C., DeBloois, Darren, Dejid, Nandintsetseg, DeNicola, Vickie, Desbiez, Arnaud L. J., Douglas-Hamilton, Iain, Drake, David, Egan, Michael, Eikelboom, Jasper A.J., Fagan, William F., Farmer, Morgan J., Fennessy, Julian, Finnegan, Shannon P., Fleming, Christen H., Fournier, Bonnie, Fowler, Nicholas L., Gantchoff, Mariela G., Garnier, Alexandre, Gehr, Benedikt, Geremia, Chris, Goheen, Jacob R., Hauptfleisch, Morgan L., Hebblewhite, Mark, Heim, Morten, Hertel, Anne G., Heurich, Marco, Hewison, A. J. Mark, Hodson, James, Hoffman, Nicholas, Hopcraft, J. Grant C., Huber, Djuro, Isaac, Edmund J., Janik, Karolina, Ježek, Miloš, Johansson, Örjan, Jordan, Neil R., Kaczensky, Petra, Kamaru, Douglas N., Kauffman, Matthew J., Kautz, Todd M., Kays, Roland, Kelly, Allicia P., Kindberg, Jonas, Krofel, Miha, Kusak, Josip, Lamb, Clayton T., LaSharr, Tayler N., Leimgruber, Peter, Leitner, Horst, Lierz, Michael, Linnell, John D.C., Lkhagvaja, Purevjav, Long, Ryan A., López-Bao, José Vicente, Loretto, Matthias-Claudio, Marchand, Pascal, Martin, Hans, Martinez, Lindsay A., McBride, Roy T., McLaren, Ashley A.D., Meisingset, Erling, Melzheimer, Joerg, Merrill, Evelyn H., Middleton, Arthur D., Monteith, Kevin L., Moore, Seth A., Van Moorter, Bram, Morellet, Nicolas, Morrison, Thomas, Müller, Rebekka, Mysterud, Atle, Noonan, Michael J, O’Connor, David, Olson, Daniel, Olson, Kirk A., Ortega, Anna C., Ossi, Federico, Panzacchi, Manuela, Patchett, Robert, Patterson, Brent R., de Paula, Rogerio Cunha, Payne, John, Peters, Wibke, Petroelje, Tyler R., Pitcher, Benjamin J., Pokorny, Boštjan, Poole, Kim, Potočnik, Hubert, Poulin, Marie-Pier, Pringle, Robert M., Prins, Herbert H.T., Ranc, Nathan, Reljić, Slaven, Robb, Benjamin, Röder, Ralf, Rolandsen, Christer M., Rutz, Christian, Salemgareyev, Albert R., Samelius, Gustaf, Sayine-Crawford, Heather, Schooler, Sarah, Şekercioğlu, Çağan H., Selva, Nuria, Semenzato, Paola, Sergiel, Agnieszka, Sharma, Koustubh, Shawler, Avery L., Signer, Johannes, Silovský, Václav, Silva, João Paulo, Simon, Richard, Smiley, Rachel A., Smith, Douglas W., Solberg, Erling J., Ellis-Soto, Diego, Spiegel, Orr, Stabach, Jared, Stacy-Dawes, Jenna, Stahler, Daniel R., Stephenson, John, Stewart, Cheyenne, Strand, Olav, Sunde, Peter, Svoboda, Nathan J., Swart, Jonathan, Thompson, Jeffrey J., Toal, Katrina L., Uiseb, Kenneth, VanAcker, Meredith C., Velilla, Marianela, Verzuh, Tana L., Wachter, Bettina, Wagler, Brittany L., Whittington, Jesse, Wikelski, Martin, Wilmers, Christopher C., Wittemyer, George, Young, Julie K., Zięba, Filip, Zwijacz-Kozica, Tomasz, Huijbregts, Mark A. J., Mueller, Thomas, National Geographic Society, University of St Andrews. School of Biology, University of St Andrews. Centre for Biological Diversity, University of St Andrews. Institute of Behavioural and Neural Sciences, and University of St Andrews. Centre for Social Learning & Cognitive Evolution
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MCC ,QL ,Settore BIO/07 - ECOLOGIA ,DAS ,QL Zoology ,AC - Abstract
Funding: This article is a contribution of the COVID-19 Bio-Logging Initiative, which is funded in part by the Gordon and Betty Moore Foundation (GBMF9881) and the National Geographic Society (NGS-82515R-20) (both grants to C.R.). 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. Postprint
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- 2023
14. Energy expenditure of fat in a large herbivore is non‐linear over winter
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Ortega, Anna C., primary, LaSharr, Tayler N., additional, Kauffman, Matthew J., additional, and Monteith, Kevin L., additional
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- 2023
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15. Maternal effects and the legacy of extreme environmental events for wild mammals
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LaSharr, Tayler N., primary, Jakopak, Rhiannon P., additional, Dwinnell, Samantha P. H., additional, Rafferty, Rebekah T., additional, Thonhoff, Mark, additional, Kaiser, Rusty C., additional, Fralick, Gary L., additional, and Monteith, Kevin L., additional
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- 2023
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16. Evaluating risks associated with capture and handling of mule deer for individual‐based, long‐term research
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LaSharr, Tayler N., primary, Dwinnell, Samantha P. H., additional, Wagler, Brittany L., additional, Sawyer, Hall, additional, Jakopak, Rhiannon P., additional, Ortega, Anna C., additional, Wilde, Luke R., additional, Kauffman, Matthew J., additional, Huggler, Katey S., additional, Burke, Patrick W., additional, Valdez, Miguel, additional, Lionberger, Patrick, additional, Brimeyer, Douglas G., additional, Scurlock, Brandon, additional, Randall, Jill, additional, Kaiser, Rusty C., additional, Thonhoff, Mark, additional, Fralick, Gary L., additional, and Monteith, Kevin L., additional
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- 2022
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17. Behavior, nutrition, and environment drive survival of a large herbivore in the face of extreme winter conditions.
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LaSharr, Tayler N., Dwinnell, Samantha P. H., Jakopak, Rhiannon P., Randall, Jill, Kaiser, Rusty C., Thonhoff, Mark, Scurlock, Brandon, Fieseler, Troy, Hymas, Neil, Hymas, Adam, Roberts, Nick, Hobbs, James, Zornes, Mark, Brimeyer, Douglas G., Fralick, Gary, and Monteith, Kevin L.
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WINTER ,BEHAVIOR modification ,MULE deer ,SNOW accumulation ,ANIMAL behavior ,NUTRITION - Abstract
For many species, behavioral modification is an effective strategy to mitigate negative effects of harsh and unpredictable environmental conditions. When behavioral modifications are not sufficient to mitigate extreme environmental conditions, intrinsic factors may be the primary determinant of survival. We investigated how movement behavior, and internal (i.e., nutrition and age) and external (i.e., food availability and snow depth) states affect survival over winter of a long‐lived and highly faithful species (mule deer; Odocoileus hemionus). We first tested whether animals changed their behavior during winter based on internal and external states; we subsequently investigated how behavior and state interacted to influence survival in the face of extraordinary winter conditions. Movement behavior changed minimally as a function of age and nutrition; yet, movement behavior affected survival—animals that exhibited more restricted movements were more likely to succumb to mortality overwinter than animals with less restricted movements. Additionally, nutrition and cumulative snow depth had a strong effect on survival: animals that were exposed to deep snow and began winter with low fat were much less likely to survive. Behavior was an effective tool in securing survival during mild or moderate winters, but nutrition ultimately underpinned survival during harsh winters. [ABSTRACT FROM AUTHOR]
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- 2023
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18. Fate of juvenile salmonids stranded in off-channel pools: implications for nutrient transfers
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Walker, Richard H., Maitland, Bryan M., LaSharr, Tayler N., Rosing, Michael N., and Ben-David, Merav
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- 2017
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19. Heterogeneity in risk‐sensitive allocation of somatic reserves in a long‐lived mammal
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Smiley, Rachel A., primary, Wagler, Brittany L., additional, LaSharr, Tayler N., additional, Denryter, Kristin A., additional, Stephenson, Thomas R., additional, Courtemanch, Alyson B., additional, Mong, Tony W., additional, Lutz, Daryl, additional, McWhirter, Doug, additional, Brimeyer, Doug, additional, Hnilicka, Patrick, additional, Lowrey, Blake, additional, and Monteith, Kevin L., additional
- Published
- 2022
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20. Biomarkers of Animal Nutrition: From Seasonal to Lifetime Indicators of Environmental Conditions
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Smiley, Rachel A., primary, LaSharr, Tayler N., additional, Abernathy, Heather N., additional, Shakeri, Yasaman N., additional, Levine, Rebecca L., additional, Rankins, Seth T., additional, Jakopak, Rhiannon P., additional, Rafferty, Rebekah T., additional, Kolek, Jaron T., additional, Wagler, Brittany L., additional, Dwinnell, Samantha P. H., additional, Robinson, Timothy J., additional, Randall, Jill E., additional, Kaiser, Rusty C., additional, Thonhoff, Mark, additional, Scurlock, Brandon, additional, Fieseler, Troy, additional, Fralick, Gary L., additional, and Monteith, Kevin L., additional
- Published
- 2022
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21. Disease and secondary sexual traits: effects of pneumonia on horn size of bighorn sheep
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Martin, Alynn M., primary, Hogg, John T., additional, Manlove, Kezia R., additional, LaSharr, Tayler N., additional, Shannon, Justin M., additional, McWhirter, Doug E., additional, Miyasaki, Hollie, additional, Monteith, Kevin L., additional, and Cross, Paul C., additional
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- 2022
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22. Evaluating risks associated with capture and handling of mule deer for individual‐based, long‐term research.
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LaSharr, Tayler N., Dwinnell, Samantha P. H., Wagler, Brittany L., Sawyer, Hall, Jakopak, Rhiannon P., Ortega, Anna C., Wilde, Luke R., Kauffman, Matthew J., Huggler, Katey S., Burke, Patrick W., Valdez, Miguel, Lionberger, Patrick, Brimeyer, Douglas G., Scurlock, Brandon, Randall, Jill, Kaiser, Rusty C., Thonhoff, Mark, Fralick, Gary L., and Monteith, Kevin L.
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MULE deer , *ANIMAL ecology , *SURVIVAL rate , *OVERALL survival , *LIFE history theory - Abstract
Capture and handling techniques for individual‐based, long‐term research that tracks the life history of animals by recapturing the same individuals for several years has vastly improved study inferences and our understanding of animal ecology. Yet there are corresponding risks to study animals associated with physical trauma or capture myopathy that can occur during or following capture events. Rarely has empirical evidence existed to guide decisions associated with understanding the magnitude of capture‐related risks, how to reduce these risks when possible, and implications for mortality censoring and survival estimates. We used data collected from 2,399 capture events of mule deer (Odocoileus hemionus) via helicopter net‐gunning to compare daily survival probabilities within a 10‐week period centered on a capture event and evaluated how animal age, nutritional condition (body fat), and various handling methods influenced survival before, during, and following a capture event. Direct mortality resulting from capture efforts was 1.59%. Mean daily survival was 0.9993 ± 0.0001 (SE) during the 5‐week pre‐capture window, was depressed the day of capture at 0.9841 ± 0.0004, and rebounded to 0.9990 ± 0.0008 during the 5‐week post‐capture window. Neither capture nor handling had a detectable effect on post‐capture survival, including handling time (x¯ $\bar{x}$ = 13.30 ± 1.87 min), capture time of year (i.e., Dec or Mar), tooth extraction, and the number of times an animal had been recaptured (2–17 times). Although mortality rate was slightly elevated during capture (resulting from physical trauma associated with capture), age and nutritional condition did not influence the probability of mortality during a capture event. Following a capture event, nutritional condition influenced survival; however, that relationship was consistent with expected effects of nutritional condition on winter survival and independent of capture and handling. Overall survival rates 5 weeks before capture and 5 weeks after capture were not different. A specified window of time with depressed survival following capture and handling was not evident, which contradicts the implementation of a predetermined window often used by researchers and managers for censoring mortalities that occur after capture. Previous notions that censorship of all mortality data in the 2 weeks following capture is unwarranted and risks removal of meaningful data. With previous evidence guiding our protocols for capture (e.g., reduced chase time) and handling (e.g., temperature mitigation), low direct mortality and almost undetectable indirect mortality post capture reinforces the efficacy of helicopter net‐gunning for capture and recapture of mule deer in long‐term, individual‐based studies. [ABSTRACT FROM AUTHOR]
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- 2023
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23. Hunting and mountain sheep: Do current harvest practices affect horn growth?
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LaSharr, Tayler N., primary, Long, Ryan A., additional, Heffelfinger, James R., additional, Bleich, Vernon C., additional, Krausman, Paul R., additional, Bowyer, R. Terry, additional, Shannon, Justin M., additional, Klaver, Robert W., additional, Brewer, Clay E., additional, Cox, Mike, additional, Holland, A. Andrew, additional, Hubbs, Anne, additional, Lehman, Chadwick P., additional, Muir, Jonathan D., additional, Sterling, Bruce, additional, and Monteith, Kevin L., additional
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- 2019
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24. Horn size and nutrition in mountain sheep: Can ewe handle the truth?
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Monteith, Kevin L., primary, Long, Ryan A., additional, Stephenson, Thomas R., additional, Bleich, Vernon C., additional, Bowyer, R. Terry, additional, and Lasharr, Tayler N., additional
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- 2017
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25. Biological relevance of antler, horn, and pronghorn size in records programs
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LaSharr, Tayler N., Long, Ryan A., Heffelfinger, James R., Bleich, Vernon C., Krausman, Paul R., Bowyer, R. Terry, Shannon, Justin M., Rominger, Eric M., Lehman, Chadwick P., Cox, Mike, and Monteith, Kevin L.
- Published
- 2020
- Full Text
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