@article {JRN55427,
	title = {Adapting to climate change on desert rangelands: A multi-site comparison of grazing behavior plasticity of heritage and improved beef cattle},
	journal = {Journal of Arid Environments},
	volume = {209},
	year = {2022},
	month = {11/02/2022},
	pages = {104886},
	abstract = {Climate change is amplifying the spatiotemporal heterogeneity of desert rangeland forages through its impact on precipitation variability. Foraging behavior plasticity (an animal{\textquoteright}s ability to alter its behavior to cope with environmental variation) could be a key trait for climate adaptation of beef cattle in arid environments. We analyzed GPS-derived movement and activity data of Criollo and commercial beef cattle from eight studies conducted at sites in North and South America to determine whether seasonal and year-to-year behavior plasticity varied significantly between breeds. We calculated dormant/brown season or driest year percent change in foraging behavior relative to growing/green season or wettest year. Compared to commercial beef breeds, Criollo cattle exhibited significantly greater seasonal adjustment in daily distance traveled (20\% increase vs. 2\% decrease, P <= 0.02) and daily grazing effort (25\% vs. 1.5\% increase, P = 0.01) during the dormant/brown vs. growing/green season. Increase in daily area explored during the dormant/brown season was almost three times greater in Criollo vs. commercial beef cattle (P = 0.09). Seasonal adjustment in daily time spent grazing was similar for Criollo and commercial beef breeds. Increase in daily area explored during the dormant/brown season of dry vs. wet years was three times greater for Criollo vs. commercial beef breeds (P = 0.03). Criollo cattle tended (P = 0.09) to exhibit greater behavior adjustment than commercial beef counterparts in daily distance traveled during the dormant/brown season of dry vs. wet years (22\% vs. 4\% increase, respectively). No breed differences in adjustment of time spent grazing (P = 0.36) or grazing effort (P = 0.20) during dormant/brown season of dry vs. wet years were observed. Dry vs. wet year grazing behavior adjustments during the growing/green season were similar for both breeds. Grazing behavior plasticity observed in Criollo cows could be a critical trait for desert beef herds in the face of increasingly variable rainfall patterns occurring as a result of climate change.},
	keywords = {Animal agriculture, British beef cattle, Cow-calf, criollo cattle, GPS tracking, ranching},
	doi = {10.1016/j.jaridenv.2022.104886},
	url = {files/bibliography/22-024.pdf},
	author = {Andr{\'e}s F. Cibils and Richard E. Estell and S. Spiegal and Shelemia Nyamuryekung{\textquoteright}e and Matthew M. McIntosh and Danielle Duni and Oscar A. Herrera Conegliano and Felipe A. Rodr{\'\i}g Almeida and Octavio Roacho Estrada and Lisandro J. Blanco and Danielle Duni and S. A. Utsumi and Alfredo L. Gonzalez}
}
@article {JRN54931,
	title = {County-level climate change information to support decision-making on working lands within USDA Climate Hub regions},
	journal = {Climatic Change},
	volume = {148},
	year = {2018},
	month = {06/2018},
	pages = {355{\textendash}369},
	chapter = {3},
	abstract = {<p>Farmers, ranchers, and forest landowners across the USA make weather- and climate-related management decisions at varying temporal and spatial scales, often with input from local experts like crop consultants and cooperative extension (CE) personnel. In order to provide additional guidance to such longer-term planning efforts, we developed a tool that shows statistically downscaled climate projections of temperature and precipitation consolidated to the county level for the contiguous US. Using the county as a fundamental mapping unit encourages the use of this information within existing institutional structures like CE and other U.S. Department of Agriculture (USDA) programs. A {\textquotedblleft}quick-look{\textquotedblright} metric based on the spatial variability of climate within each county aids in the interpretation of county-level information. For instance, relatively higher spatial variability within a county indicates that more localized information should be used to support stakeholder planning. Changes in annual precipitation show a latitudinal dipole where increases are projected for much of the northern US while declines are projected for counties across the southern US. Seasonal shifts in county-level precipitation are projected nationwide with declines most evident in summer months in most regions. Changes in the spatial variability of annual precipitation for most counties were less than 10\&nbsp;mm, indicating fairly spatially homogenous midcentury precipitation changes at the county level. Annual and seasonal midcentury temperatures are projected to increase across the USA, with relatively low change in the spatial variability (\&lt;0.3\&nbsp;{\textdegree}C) of temperature across most counties. The utility of these data is shown for forage and almond applications, both indicating a potential decline in production in some future years, to illustrate use of county-level seasonal projections in adaptation planning and decision-making.</p>
},
	keywords = {agriculture, climate change, Cooperative extension, decision-making, forestry, ranching, USDA climate hubs},
	doi = {doi.org/10.1007/s10584-017-2040-y},
	url = {files/bibliography/18-024.pdf},
	author = {Emile H. Elias and Scott T. Schrader and John T Abatzoglou and D. K. James and Michael Crimmins and Weiss, Jeremy and A. Rango}
}
@article {JRN53943,
	title = {Asymmetric ecological and economic responses for rangeland restoration: A case study of tree thickening in Queensland, Australia},
	journal = {Rangelands},
	volume = {36},
	year = {2014},
	month = {04/2014},
	pages = {37-44},
	chapter = {37},
	abstract = {<p>Economic motivation for implementing targeted responses to rangeland degradation often lag the events that cause degradation and\&nbsp; existing monitoring schemes often lack the sensitivity or the connections to ecological processes to reliably serve as a basis for evaluating success. In this paper, we present an approach for quantifying the relationship of economic output and land degradation during the intermediate stages of degradation. We also propose an approach that can provide enhanced incentives to implement proven responses before degradation processes are entrained.</p>
},
	keywords = {bio-economic modelling, ecological thresholds, economic thresholds, prescribed fire, ranching, rangeland rehabilitation, timber thickening},
	doi = {10.2111/rangelands-d-13-00074.1},
	url = {/files/bibliography/14-011.pdf},
	author = {MacLeod, Neil and Scanlan, Joe C. and Joel R. Brown}
}
