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

ABSTRACT Cheatgrass (Bromus tectorum L.) is a highly invasive species in the Northern Great Basin that helps decrease fire return intervals. Fire fragments the shrub steppe and reduces its capacity to provide forage for livestock and wildlife and habitat critical to sagebrush obligates. Of particular interest is the greater sage grouse (Centrocercus urophasianus), an obligate whose populations have declined so severely due, in part, to increases in cheatgrass and fires that it was considered for inclusion as an endangered species. Remote sensing technologies and satellite archives help scientists monitor terrestrial vegetation globally, including cheatgrass in the Northern Great Basin. Along with geospatial analysis and advanced spatial modeling, these data and technologies can identify areas susceptible to increased cheatgrass cover and compare these with greater sage grouse priority areas for conservation (PAC). Future climate models forecast a warmer and wetter climate for the Northern Great Basin, which likely will force changing cheatgrass dynamics. Therefore, we examine potential climate-caused changes to cheatgrass. Our results indicate that future cheatgrass percent cover will remain stable over more than 80% of the study area when compared with recent estimates, and higher overall cheatgrass cover will occur with slightly more spatial variability. The land area projected to increase or decrease in cheatgrass cover equals 18% and 1%, respectively, malking an increase in fire disturbances in greater sage grouse habitat likely. Relative susceptibility measures, created by integrating cheatgrass percent cover and temporal standard deviation datasets, show that potential increases in future cheatgrass cover match future projections. This discovery indicates that some greater sage grouse PACs for conservation could be at heightened risk of fire disturbance. Multiple factors will affect future cheatgrass cover including changes in precipitation timing and totals and increases in freeze-thaw cycles. Understanding these effects can help direct land management, guide scientific research, and influence policy.

[1]  Steven E. Hanser,et al.  Conservation of greater sage-grouse- a synthesis of current trends and future management , 2011 .

[2]  P. Vitousek,et al.  Biological invasions by exotic grasses, the grass/fire cycle, and global change , 1992 .

[3]  B. Maxwell,et al.  Bromus tectorum Response to Fire Varies with Climate Conditions , 2014, Ecosystems.

[4]  J. Connelly,et al.  Characteristics and Dynamics of Greater Sage-Grouse Populations , 2011 .

[5]  John F. Mustard,et al.  Identifying land cover variability distinct from land cover change: Cheatgrass in the Great Basin , 2005 .

[6]  J. Abatzoglou,et al.  Evaluation of CMIP5 20th century climate simulations for the Pacific Northwest USA , 2013 .

[7]  Steven E. Hanser,et al.  Greater Sage-Grouse National Research Strategy , 2014 .

[8]  D. Pyke,et al.  The demography of Bromus tectorum: the role of microclimate, grazing and disease , 1984 .

[9]  D. Pyke,et al.  Biotic soil crusts in relation to topography, cheatgrass and fire in the Columbia Basin, Washington , 2007 .

[10]  J. Edmonds,et al.  RCP4.5: a pathway for stabilization of radiative forcing by 2100 , 2011 .

[11]  Michael J. Wisdom,et al.  Characteristics of Sagebrush Habitats and Limitations to Long-Term Conservation , 2011 .

[12]  Yingxin Gu,et al.  Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS , 2012 .

[13]  Li Zhang,et al.  Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska , 2008, Int. J. Digit. Earth.

[14]  Bruce K. Wylie,et al.  The integration of geophysical and enhanced Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data into a rule-based, piecewise regression-tree model to estimate cheatgrass beginning of spring growth , 2015, Int. J. Digit. Earth.

[15]  Stuart P. Hardegree,et al.  Resilience to Stress and Disturbance, and Resistance to Bromus tectorum L. Invasion in Cold Desert Shrublands of Western North America , 2013, Ecosystems.

[16]  S. Schiavon,et al.  Climate Change 2007: Impacts, Adaptation and Vulnerability. , 2007 .

[17]  D. Richardson,et al.  Effects of Invasive Alien Plants on Fire Regimes , 2004 .

[18]  B. E T H A N Regional analysis of the impacts of climate change on cheatgrass invasion shows potential risk and opportunity , 2008 .

[19]  S. Whisenant Changing fire frequencies on Idaho's Snake River Plains: ecological and management implications. , 1990 .

[20]  Sunil Kumar,et al.  Distributional Changes and Range Predictions of Downy Brome (Bromus tectorum) in Rocky Mountain National Park , 2011, Invasive Plant Science and Management.

[21]  Li Zhang,et al.  Mapping carbon flux uncertainty and selecting optimal locations for future flux towers in the Great Plains , 2011, Landscape Ecology.

[22]  Collin G. Homer,et al.  Multi-scale remote sensing sagebrush characterization with regression trees over Wyoming, USA: Laying a foundation for monitoring , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[23]  E. Peterson Estimating cover of an invasive grass (Bromus tectorum) using tobit regression and phenology derived from two dates of Landsat ETM+ data , 2005 .

[24]  Brian Brisco,et al.  Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest , 2014, Remote. Sens..

[25]  Yingxin Gu,et al.  Monitoring the status of forests and rangelands in the Western United States using ecosystem performance anomalies , 2013 .

[26]  E. Peterson A Map of Invasive Annual Grasses in Nevada Derived from Multitemporal Landsat 5 TM Imagery , 2006 .

[27]  C. Homer,et al.  Characterization of shrubland ecosystem components as continuous fields in the northwest United States , 2015 .

[28]  J. Abatzoglou,et al.  Climate Change in Western US Deserts: Potential for Increased Wildfire and Invasive Annual Grasses , 2011 .

[29]  A. Thomson,et al.  The representative concentration pathways: an overview , 2011 .

[30]  S. O. Link,et al.  The effect of water stress on phenological and ecophysiological characteristics of cheatgrass and Sandberg's bluegrass , 1990 .

[31]  Bruce K. Wylie,et al.  Mapping and Monitoring Cheatgrass Dieoff in Rangelands of the Northern Great Basin, USA ☆,☆☆,★ , 2014 .

[32]  Arturo Roman Messina Monitoring the status of the system , 2015 .

[33]  M. Germino,et al.  Exotic plants increase and native plants decrease with loss of foundation species in sagebrush steppe , 2010, Plant Ecology.

[34]  Richard N. Mack,et al.  The Demography of Bromus Tectorum: Variation in Time and Space , 1983 .

[35]  G. Griffith,et al.  North American Terrestrial Ecoregions—Level III , 2011 .

[36]  B. Wylie,et al.  Ecosystem Performance Monitoring of Rangelands by Integrating Modeling and Remote Sensing , 2012 .

[37]  S. Reed,et al.  Eco-evolutionary responses of Bromus tectorum to climate change: implications for biological invasions , 2013, Ecology and evolution.

[38]  R. Sheley,et al.  Altered snowfall and soil disturbance influence the early life stage transitions and recruitment of a native and invasive grass in a cold desert , 2015, Oecologia.

[39]  Philip B. Duffy,et al.  Guidelines for Constructing Climate Scenarios , 2011 .

[40]  J. Balch,et al.  Introduced annual grass increases regional fire activity across the arid western USA (1980–2009) , 2013, Global change biology.

[41]  B. Roundy,et al.  WHAT MAKES GREAT BASIN SAGEBRUSH ECOSYSTEMS INVASIBLE BY BROMUS TECTORUM , 2007 .

[42]  Bruce K. Wylie,et al.  Climate-Driven Interannual Variability in Net Ecosystem Exchange in the Northern Great Plains Grasslands , 2010 .

[43]  P. Adler,et al.  Warming, competition, and Bromus tectorum population growth across an elevation gradient , 2014 .