Population growth rates of pronghorn: influence of temporally and spatially explicit conditions, density dependence, and scale

• Published in: Canadian journal of zoology Vol. 102; no. 4; pp. 337 - 349
• Main Authors: Gese, Eric M., Bleke, Cole A., Roberts, Shane B., Atwood, Paul, Terletzky, Patricia A.
• Format: Journal Article
• Language: English
• Published: Ottawa NRC Research Press 01.04.2024; Canadian Science Publishing NRC Research Press
• Subjects: Antilocapra americana; Density; Density dependence; Distribution; Drought; Elevation; Environmental aspects; fawns; Growth rate; Idaho; Parturition; Population growth; Population regulation; Pronghorn antelope; Recruitment; retrospective studies; Steppes; Subpopulations; surveys; temperature; United States; Idaho
• ISSN: 0008-4301; 1480-3283; 1480-3283; 0008-4301
• DOI: 10.1139/cjz-2023-0113

Density-independent and density-dependent population regulation has long been a subject of investigation. We examined density-dependent and density-independent factors on growth rates of pronghorn ( Antilocapra americana (Ord, 1815)) using a retrospective analysis of population survey data. Across Idaho, we found that as the proportion of the subpopulation harvested the previous year increased, growth rates increased. Similarly, as fawn recruitment increased, growth rates increased. We also found when the growth rate in the previous year increased, the growth rate the subsequent year decreased. When subpopulations were examined independently, we found that in a low-elevation desert subpopulation, growth rates were influenced by growth the previous year. In an agricultural-dominated site, growth rates were influenced by fawn recruitment in the current year and maximum temperature the previous fall. Growth rates in a mid-elevation shrub–steppe site were influenced by drought severity prior to parturition and the growth rates from the previous year. Growth rates in two mountain valley subpopulations were influenced by measures of vegetative greenness. At the statewide scale, while managers may strive for increased numbers of pronghorn, density dependence will limit the ability for a region-wide numerical response. On the localized scale, drivers of growth were temporally and spatially explicit, and biologists must consider site-specific actions.