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spelling ftunivnebraskali:oai:digitalcommons.unl.edu:icwdm_usdanwrc-3422 2023-11-12T04:28:12+01:00 Factors Influencing Survival Rates of Pronghorn Fawns in Idaho Panting, Brett R. Gese, Eric M. Conner, Mary M. Bergen, Scott 2021-01-01T08:00:00Z application/pdf https://digitalcommons.unl.edu/icwdm_usdanwrc/2429 https://digitalcommons.unl.edu/context/icwdm_usdanwrc/article/3422/viewcontent/Panting_JWM_2021_Factors_Influencing_Survival_Rates.pdf unknown DigitalCommons@University of Nebraska - Lincoln https://digitalcommons.unl.edu/icwdm_usdanwrc/2429 https://digitalcommons.unl.edu/context/icwdm_usdanwrc/article/3422/viewcontent/Panting_JWM_2021_Factors_Influencing_Survival_Rates.pdf USDA Wildlife Services - Staff Publications Antilocapra americana fawn neonate predation pronghorn survival Animal Sciences Environmental Sciences Life Sciences Natural Resources and Conservation Natural Resources Management and Policy Other Environmental Sciences Other Veterinary Medicine Population Biology Terrestrial and Aquatic Ecology Veterinary Infectious Diseases Veterinary Medicine Veterinary Microbiology and Immunobiology Veterinary Preventive Medicine Epidemiology and Public Health Zoology text 2021 ftunivnebraskali 2023-10-30T12:00:46Z Pronghorn (Antilocapra americana) occur throughout western North America. In Idaho, USA, following intensive hunting to reduce crop depredations in the late 1980s, pronghorn populations have not rebounded to desired levels. Because neonatal survival in ungulates is one factor limiting population growth, we evaluated cause‐specific mortality and the influence of intrinsic and extrinsic factors on survival rates of 217 radio‐collared pronghorn fawns across 3 study areas in Idaho during 2015–2016. For intrinsic variables, we determined the sex and body mass index (BMI) for each fawn. For extrinsic variables, we determined the abundance of predators and alternate prey, estimated the normalized difference vegetation index (NDVI) for 1 month pre‐ and post‐parturition, and measured fecal nitrogen and diaminopimelic acid (DAPA). We considered NDVI as a measure of plant productivity, and fecal nitrogen and DAPA as possible proxies of diet quality. We predicted NDVI, fecal nitrogen, and DAPA would be positively related to the nutritional status of females and positively related to fawn survival. We used Program MARK with known fate models to estimate semi‐monthly survival rates of pronghorn fawns for the first 4 months post‐parturition. During both years, the leading cause of fawn mortality was coyote (Canis latrans) predation (58%), followed by unknown causes of mortality (18%), unknown predation (12%), predation by bobcats (Lynx rufus; 6%), predation by golden eagles (Aquila chrysaetos; 3%), and other (3%). Mean fawn survival for the 4 months post‐parturition across years and study sites was 0.42±0.04 (SE; range = 28–62%). The top survival model included BMI, lagomorph abundance, and DAPA and had a model weight of 83.3%. All 3 variables were positively related to pronghorn fawn survival. Because females with increased nutrition generally have heavier fawns, BMI was likely correlated to diet quality, which was supported by the positive relationship between DAPA and fawn survival. We hypothesize that high lagomorph ... Text Aquila chrysaetos Lynx University of Nebraska-Lincoln: DigitalCommons@UNL
institution Open Polar
collection University of Nebraska-Lincoln: DigitalCommons@UNL
op_collection_id ftunivnebraskali
language unknown
topic Antilocapra americana
fawn
neonate
predation
pronghorn
survival
Animal Sciences
Environmental Sciences
Life Sciences
Natural Resources and Conservation
Natural Resources Management and Policy
Other Environmental Sciences
Other Veterinary Medicine
Population Biology
Terrestrial and Aquatic Ecology
Veterinary Infectious Diseases
Veterinary Medicine
Veterinary Microbiology and Immunobiology
Veterinary Preventive Medicine
Epidemiology
and Public Health
Zoology
spellingShingle Antilocapra americana
fawn
neonate
predation
pronghorn
survival
Animal Sciences
Environmental Sciences
Life Sciences
Natural Resources and Conservation
Natural Resources Management and Policy
Other Environmental Sciences
Other Veterinary Medicine
Population Biology
Terrestrial and Aquatic Ecology
Veterinary Infectious Diseases
Veterinary Medicine
Veterinary Microbiology and Immunobiology
Veterinary Preventive Medicine
Epidemiology
and Public Health
Zoology
Panting, Brett R.
Gese, Eric M.
Conner, Mary M.
Bergen, Scott
Factors Influencing Survival Rates of Pronghorn Fawns in Idaho
topic_facet Antilocapra americana
fawn
neonate
predation
pronghorn
survival
Animal Sciences
Environmental Sciences
Life Sciences
Natural Resources and Conservation
Natural Resources Management and Policy
Other Environmental Sciences
Other Veterinary Medicine
Population Biology
Terrestrial and Aquatic Ecology
Veterinary Infectious Diseases
Veterinary Medicine
Veterinary Microbiology and Immunobiology
Veterinary Preventive Medicine
Epidemiology
and Public Health
Zoology
description Pronghorn (Antilocapra americana) occur throughout western North America. In Idaho, USA, following intensive hunting to reduce crop depredations in the late 1980s, pronghorn populations have not rebounded to desired levels. Because neonatal survival in ungulates is one factor limiting population growth, we evaluated cause‐specific mortality and the influence of intrinsic and extrinsic factors on survival rates of 217 radio‐collared pronghorn fawns across 3 study areas in Idaho during 2015–2016. For intrinsic variables, we determined the sex and body mass index (BMI) for each fawn. For extrinsic variables, we determined the abundance of predators and alternate prey, estimated the normalized difference vegetation index (NDVI) for 1 month pre‐ and post‐parturition, and measured fecal nitrogen and diaminopimelic acid (DAPA). We considered NDVI as a measure of plant productivity, and fecal nitrogen and DAPA as possible proxies of diet quality. We predicted NDVI, fecal nitrogen, and DAPA would be positively related to the nutritional status of females and positively related to fawn survival. We used Program MARK with known fate models to estimate semi‐monthly survival rates of pronghorn fawns for the first 4 months post‐parturition. During both years, the leading cause of fawn mortality was coyote (Canis latrans) predation (58%), followed by unknown causes of mortality (18%), unknown predation (12%), predation by bobcats (Lynx rufus; 6%), predation by golden eagles (Aquila chrysaetos; 3%), and other (3%). Mean fawn survival for the 4 months post‐parturition across years and study sites was 0.42±0.04 (SE; range = 28–62%). The top survival model included BMI, lagomorph abundance, and DAPA and had a model weight of 83.3%. All 3 variables were positively related to pronghorn fawn survival. Because females with increased nutrition generally have heavier fawns, BMI was likely correlated to diet quality, which was supported by the positive relationship between DAPA and fawn survival. We hypothesize that high lagomorph ...
format Text
author Panting, Brett R.
Gese, Eric M.
Conner, Mary M.
Bergen, Scott
author_facet Panting, Brett R.
Gese, Eric M.
Conner, Mary M.
Bergen, Scott
author_sort Panting, Brett R.
title Factors Influencing Survival Rates of Pronghorn Fawns in Idaho
title_short Factors Influencing Survival Rates of Pronghorn Fawns in Idaho
title_full Factors Influencing Survival Rates of Pronghorn Fawns in Idaho
title_fullStr Factors Influencing Survival Rates of Pronghorn Fawns in Idaho
title_full_unstemmed Factors Influencing Survival Rates of Pronghorn Fawns in Idaho
title_sort factors influencing survival rates of pronghorn fawns in idaho
publisher DigitalCommons@University of Nebraska - Lincoln
publishDate 2021
url https://digitalcommons.unl.edu/icwdm_usdanwrc/2429
https://digitalcommons.unl.edu/context/icwdm_usdanwrc/article/3422/viewcontent/Panting_JWM_2021_Factors_Influencing_Survival_Rates.pdf
genre Aquila chrysaetos
Lynx
genre_facet Aquila chrysaetos
Lynx
op_source USDA Wildlife Services - Staff Publications
op_relation https://digitalcommons.unl.edu/icwdm_usdanwrc/2429
https://digitalcommons.unl.edu/context/icwdm_usdanwrc/article/3422/viewcontent/Panting_JWM_2021_Factors_Influencing_Survival_Rates.pdf
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