Management considerations of moose life‐history characteristics in Colorado, USA

Wildlife management agencies are obliged to provide evidence‐based management recommendations to stakeholders. However, allocation of resources towards the management of species is rarely uniform. The consideration of life‐history characteristics of moose offers wildlife managers a more robust understanding of population ecology, while also providing insight into potential limiting factors for long‐term management. From 2014–2020 we simultaneously measured survival of adult female moose, as well as calf productivity, in relation to the nutritional condition of adult females, in Colorado. Mean annual adult survival was high (93% and 95% confidence interval: 91–95%). Human hunter harvest was the leading source of mortality and lowered annual adult survival to 88%. Malnutrition was the leading source of natural mortality. Mean annual pregnancy rates were relatively low (77%) and highly variable (95% confidence interval: 65–88%). However, low pregnancy rates were compensated for by high apparent calf survival. The best predictor of moose pregnancy was nutritional condition. Our data suggest that bottom‐up ecological processes were affecting moose population growth, but populations were likely increasing during our study, with a simulated population growth rate of 1.04 (95% confidence interval: 0.94–1.17).

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Publication Details

Journal
Wildlife Biology
Published
2024-10-14
DOI
https://doi.org/10.1002/wlb3.01310
Citations
4
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
1.84

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article

Management considerations of moose life‐history characteristics in Colorado, USA

Mark Fisher, Eric J. Bergman, Lisa L. Wolfe, Jonathan P. Runge
4 citations
Wildlife Biology
Wildlife Ecology and Conservation
1.84
article

Management considerations of moose life‐history characteristics in Colorado, USA

Mark Fisher, Eric J. Bergman, Lisa L. Wolfe, Jonathan P. Runge
article en
4 citations

Abstract

Wildlife management agencies are obliged to provide evidence‐based management recommendations to stakeholders. However, allocation of resources towards the management of species is rarely uniform. The consideration of life‐history characteristics of moose offers wildlife managers a more robust understanding of population ecology, while also providing insight into potential limiting factors for long‐term management. From 2014–2020 we simultaneously measured survival of adult female moose, as well as calf productivity, in relation to the nutritional condition of adult females, in Colorado. Mean annual adult survival was high (93% and 95% confidence interval: 91–95%). Human hunter harvest was the leading source of mortality and lowered annual adult survival to 88%. Malnutrition was the leading source of natural mortality. Mean annual pregnancy rates were relatively low (77%) and highly variable (95% confidence interval: 65–88%). However, low pregnancy rates were compensated for by high apparent calf survival. The best predictor of moose pregnancy was nutritional condition. Our data suggest that bottom‐up ecological processes were affecting moose population growth, but populations were likely increasing during our study, with a simulated population growth rate of 1.04 (95% confidence interval: 0.94–1.17).

Wildlife BiologyVol. 2025(4)
Colorado Parks and Wildlife (US)
Colorado Parks and Wildlife, U.S. Fish and Wildlife Service
Zero hunger
Openalex Percentile: Top 15%
Wildlife Ecology and Conservation
1.84
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