Greater sage‐grouse dynamics are influenced by winter temperature rather than indices of grazing, drought, and breeding season weather in a northern Great Plains population

Abstract High climatic variability and livestock grazing are ubiquitous across greater sage‐grouse ( Centrocercus urophasianis ) range and may influence the population dynamics of this imperiled rangeland species. We examined how annual variability in climate, vegetation productivity, grazing intensity, and conservation grazing program enrollment influenced a greater sage‐grouse population in a 1500‐km 2 rangeland landscape in central Montana (2002–2022). Using a Gompertz density‐dependent population model, we found that winter temperatures positively influenced annual population dynamics (standardized coefficient = 0.18; 95% CRI: 0.02–0.34). We found no clear evidence that annual dynamics were influenced by variation in the previous year's breeding season weather, drought indices, or remotely sensed rangeland productivity, unlike findings documented in other parts of sage‐grouse range (e.g., Great Basin). We found no compelling evidence that landscape‐scale variation in grazing intensity or percent area enrolled in 3‐year conservation grazing program contracts affected populations. Our results suggest that, in a relatively intact rangeland of the northern Great Plains, drought sensitivity and prevailing grazing management did not limit populations. Strategies to protect or expand intact rangelands including those that encompass winter habitat should be evaluated further.

Authors

Institutions

Publication Details

Journal
Conservation Science and Practice
Published
2026-06-08
DOI
https://doi.org/10.1111/csp2.70330
Primary Topic
Rangeland and Wildlife Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Greater sage‐grouse dynamics are influenced by winter temperature rather than indices of grazing, drought, and breeding season weather in a northern Great Plains population

Mark Szczypinski, David J. Messmer, Jennifer E. Helm, Justin Gude et al.
Conservation Science and Practice
Rangeland and Wildlife Management
article

Greater sage‐grouse dynamics are influenced by winter temperature rather than indices of grazing, drought, and breeding season weather in a northern Great Plains population

Mark Szczypinski, David J. Messmer, Jennifer E. Helm, Justin Gude, Lorelle Berkeley, Victoria Dreitz, Kaitlyn Reintsma
article en

Abstract

Abstract High climatic variability and livestock grazing are ubiquitous across greater sage‐grouse ( Centrocercus urophasianis ) range and may influence the population dynamics of this imperiled rangeland species. We examined how annual variability in climate, vegetation productivity, grazing intensity, and conservation grazing program enrollment influenced a greater sage‐grouse population in a 1500‐km 2 rangeland landscape in central Montana (2002–2022). Using a Gompertz density‐dependent population model, we found that winter temperatures positively influenced annual population dynamics (standardized coefficient = 0.18; 95% CRI: 0.02–0.34). We found no clear evidence that annual dynamics were influenced by variation in the previous year's breeding season weather, drought indices, or remotely sensed rangeland productivity, unlike findings documented in other parts of sage‐grouse range (e.g., Great Basin). We found no compelling evidence that landscape‐scale variation in grazing intensity or percent area enrolled in 3‐year conservation grazing program contracts affected populations. Our results suggest that, in a relatively intact rangeland of the northern Great Plains, drought sensitivity and prevailing grazing management did not limit populations. Strategies to protect or expand intact rangelands including those that encompass winter habitat should be evaluated further.

Conservation Science and Practice
Rocky Mountain Retina Consultants (US), Montana Fish, Wildlife & Parks (US), Rocky Mountain Research Station (US), Rocky Mountain Research (United States) (US), University of Montana (US)
Climate action
Openalex Percentile: Top 6%
Rangeland and Wildlife Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.