Forest restoration, wildfire, and habitat selection by female mule deer
Autor: | Jay V. Gedir, James W. Cain, Tanya M. Roerick |
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Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
Biomass (ecology) biology Prescribed burn Wildlife Forestry Woodland Management Monitoring Policy and Law Odocoileus biology.organism_classification 010603 evolutionary biology 01 natural sciences Forest restoration Habitat Environmental science Restoration ecology 010606 plant biology & botany Nature and Landscape Conservation |
Zdroj: | Forest Ecology and Management. 447:169-179 |
ISSN: | 0378-1127 |
DOI: | 10.1016/j.foreco.2019.05.067 |
Popis: | Decades of fire suppression, logging, and overgrazing have led to increased densities of small diameter trees which have been associated with decreases in biodiversity, reduced habitat quality for wildlife species, degraded foraging conditions for ungulates, and more frequent and severe wildfires. In response, land managers are implementing forest restoration treatments using prescribed fire and thinning to mitigate the risk of catastrophic wildfires and improve habitat conditions for a variety of wildlife species. We monitored habitat selection by female mule deer (Odocoileus hemionus) in relation to forest restoration treatments and wildfires in northern New Mexico in 2015. Our specific objectives were to assess changes in forage abundance and determine habitat selection patterns of mule deer in relation to recent wildfires, forest restoration treatments, including duration of the post-treatment recovery, and other habitat characteristics. Herbaceous forage biomass was greater in wildfire-burned areas than in untreated areas or those treated with prescribed burns or thinning. Oak forage biomass was greater in wildfire-burned areas compared to prescribed burns, forest thinning, and untreated areas. However, thinned areas tended to have higher oak forage biomass than untreated areas. Mule deer selected for areas burned by prescribed fire and generally avoided wildfire-burned and thinned areas |
Databáze: | OpenAIRE |
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