2016
DOI: 10.1016/j.rama.2016.03.002
|View full text |Cite
|
Sign up to set email alerts
|

Cheatgrass Percent Cover Change: Comparing Recent Estimates to Climate Change−Driven Predictions in the Northern Great Basin

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

2
57
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 68 publications
(63 citation statements)
references
References 34 publications
2
57
0
Order By: Relevance
“…For example, increased temperatures could increase evapotranspiration and aridity resulting in less favorable conditions for cheatgrass (Bradley et al., ). However, climate change predictions for greater amounts of fall, winter and early‐spring precipitation (Abatzoglou & Kolden, ), may create even greater cheatgrass build up (Boyte, Wylie, & Major, ). Increasing atmospheric carbon dioxide levels may also exacerbate the increased productivity of cheatgrass, as well as native perennial grasses, and thus increase fine fuel development (Chambers et al., ; Smith, Huxman, Zitzer, & Charlet, ; Ziska et al., ).…”
Section: Discussionmentioning
confidence: 99%
“…For example, increased temperatures could increase evapotranspiration and aridity resulting in less favorable conditions for cheatgrass (Bradley et al., ). However, climate change predictions for greater amounts of fall, winter and early‐spring precipitation (Abatzoglou & Kolden, ), may create even greater cheatgrass build up (Boyte, Wylie, & Major, ). Increasing atmospheric carbon dioxide levels may also exacerbate the increased productivity of cheatgrass, as well as native perennial grasses, and thus increase fine fuel development (Chambers et al., ; Smith, Huxman, Zitzer, & Charlet, ; Ziska et al., ).…”
Section: Discussionmentioning
confidence: 99%
“…Cheatgrass is projected to spread and dominate where it is already well adapted and where climate changes could increase fire frequency (Abatzoglou and Kolden , Boyte et al. , Coates et al. ).…”
Section: Discussionmentioning
confidence: 99%
“…For the northern Great Basin, climate change models predict lower precipitation in October, April, and May, while projecting higher precipitation for winter and early spring and warmer temperatures for fall, winter, and spring (Boyte et al. ). Based on these projections and the associations in Table , we expect that some sites will move from higher to intermediate cheatgrass resistance due to warmer springs or drier winters and early springs.…”
Section: Discussionmentioning
confidence: 99%
“…To quantify vegetation height, we used the mean value of each vegetation height class (e.g., 0.25 m for height class 0–0.5 m) and calculated the average vegetation height of sagebrush for all pixels around a lek that remained unburned after fire. For cheatgrass cover, we employed a 13‐year (2000–2013) cheatgrass database of the Great Basin which quantifies cheatgrass cover (0%–100%) at 250‐m resolution (Boyte, Wylie, & Major, ). We calculated the area surrounding leks with >8% cheatgrass cover because few active leks have >8% cheatgrass cover (Johnson et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…In the case of cheatgrass cover, burned areas around a lek with elevation <2,000 m were categorized as having unsuitable cheatgrass cover (>8% cover) for sage‐grouse because burned areas are highly susceptible to invasion by cheatgrass (Chambers, Roundy, Blank, Meyer, & Whittaker, ; Jessop & Anderson, ). Burned areas >2,000 m in elevation were categorized as having suitable cheatgrass cover (<8% cover), because cheatgrass does not seem to invade above this elevation (Boyte et al, ). Vegetation height of burned areas and unsuitable vegetation types, such as forests and juniper woodlands, was set to 0 m, as sagebrush stands often burn completely, leaving no remnant vegetation after fire (Baker, ).…”
Section: Methodsmentioning
confidence: 99%