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Modeling Plant Species Distributions...

Ball, Tara M.

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Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition./
Author:	Ball, Tara M.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	57 p.
Notes:	Source: Masters Abstracts International, Volume: 58-02.
Contained By:	Masters Abstracts International58-02(E).
Subject:	Environmental science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10685047
ISBN:	9780438392915

Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition.
Ball, Tara M.

Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 57 p.

Source: Masters Abstracts International, Volume: 58-02.

Thesis (M.S.)--University of Idaho, 2018.

Mechanisms driving ungulate population declines are complex and poorly understood. Limitations in forage availability or quality may be contributing, but current habitat assessments lack fine-scale vegetation information needed to evaluate nutrition. To fill this gap, I developed predictive distribution models for ungulate forage species across Idaho using existing vegetation surveys, maps, and remotely-sensed data. Models predict plant species presence, and provide key insight to species-environment relationships that can aide habitat management strategies to improve nutritional quality. Additionally, I examined elk habitat selection on a summer range in north-central Idaho. Selection was influenced by the presence of herbaceous plant species and wildfire disturbance. Management strategies that re-open matured forest canopies that currently limit herbaceous understory vegetation will be useful for enhancing the nutritional quality of elk summer habitat. Considerations for non-native plant infestations in areas of highly recurrent and severe wildfires will also be important.

ISBN: 9780438392915Subjects--Topical Terms:

677245
Environmental science.

Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition.
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245 1 0 $a Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition.
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300 $a 57 p.
500 $a Source: Masters Abstracts International, Volume: 58-02.
500 $a Adviser: Eva K. Strand.
502 $a Thesis (M.S.)--University of Idaho, 2018.
520 $a Mechanisms driving ungulate population declines are complex and poorly understood. Limitations in forage availability or quality may be contributing, but current habitat assessments lack fine-scale vegetation information needed to evaluate nutrition. To fill this gap, I developed predictive distribution models for ungulate forage species across Idaho using existing vegetation surveys, maps, and remotely-sensed data. Models predict plant species presence, and provide key insight to species-environment relationships that can aide habitat management strategies to improve nutritional quality. Additionally, I examined elk habitat selection on a summer range in north-central Idaho. Selection was influenced by the presence of herbaceous plant species and wildfire disturbance. Management strategies that re-open matured forest canopies that currently limit herbaceous understory vegetation will be useful for enhancing the nutritional quality of elk summer habitat. Considerations for non-native plant infestations in areas of highly recurrent and severe wildfires will also be important.
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