Your browser doesn't support javascript.
loading
Density-dependent habitat selection alters drivers of population distribution in northern Yellowstone elk.
Smith, Brian J; MacNulty, Daniel R; Stahler, Daniel R; Smith, Douglas W; Avgar, Tal.
Affiliation
  • Smith BJ; Department of Wildland Resources and Ecology Center, Utah State University, Logan, Utah, USA.
  • MacNulty DR; Department of Wildland Resources and Ecology Center, Utah State University, Logan, Utah, USA.
  • Stahler DR; Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA.
  • Smith DW; Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA.
  • Avgar T; Department of Wildland Resources and Ecology Center, Utah State University, Logan, Utah, USA.
Ecol Lett ; 26(2): 245-256, 2023 Feb.
Article in En | MEDLINE | ID: mdl-36573288
ABSTRACT
Although it is well established that density dependence drives changes in organismal abundance over time, relatively little is known about how density dependence affects variation in abundance over space. We tested the hypothesis that spatial trade-offs between food and safety can change the drivers of population distribution, caused by opposing patterns of density-dependent habitat selection (DDHS) that are predicted by the multidimensional ideal free distribution. We addressed this using winter aerial survey data of northern Yellowstone elk (Cervus canadensis) spanning four decades. Supporting our hypothesis, we found positive DDHS for food (herbaceous biomass) and negative DDHS for safety (openness and roughness), such that the primary driver of habitat selection switched from food to safety as elk density decreased from 9.3 to 2.0 elk/km2 . Our results demonstrate how population density can drive landscape-level shifts in population distribution, confounding habitat selection inference and prediction and potentially affecting community-level interactions.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deer / Wolves Type of study: Prognostic_studies Limits: Animals Country/Region as subject: America do norte Language: En Journal: Ecol Lett Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deer / Wolves Type of study: Prognostic_studies Limits: Animals Country/Region as subject: America do norte Language: En Journal: Ecol Lett Year: 2023 Document type: Article Affiliation country: United States