@article {6128,
	title = { Cross-site comparisons of climate change on drylands in the US Long-term Ecological Research network},
	journal = {BioScience},
	volume = {72},
	year = {2022},
	pages = {889 - 907},
	keywords = {LTER-KNZ},
	doi = {10.1093/biosci/biab134},
	url = {https://academic.oup.com/bioscience/article/72/9/889/6654840},
	author = {Hudson, Amy R and Peters, D.P.C. and J. M. Blair and Childers, Daniel L and Doran, Peter T and Geil, Kerrie and Gooseff, Michael and Gross, Katherine L and Haddad, Nick M and Pastore, Melissa A and Rudgers, Jennifer A and Sala, Osvaldo and Seabloom, Eric W and Shaver, Gaius}
}
@booklet {KNZ001539,
	title = {Long-term trends in ecological systems: a basis for understanding responses to global change. USDA Agriculture Research Service Publication, Technical Bulletin 1931. Washington, D.C},
	year = {2012},
	abstract = {<p>Peters, D.P.C., C.M. Laney, A.E. Lugo, et al. 2013. Long-Term Trends in Ecological Systems: A Basis for Understanding Responses to Global Change. U.S. Department of Agriculture, Technical Bulletin Number 1931. The EcoTrends Editorial Committee sorted through vast amounts of historical and ongoing data from 50 ecological sites in the continental United States including Alaska, several islands, and Antarctica to present in a logical format the variables commonly collected. This report presents a subset of data and variables from these sites and illustrates through detailed examples the value of comparing longterm data from different ecosystem types. This work provides cross-site comparisons of ecological responses to global change drivers, as well as longterm trends in global change drivers and responses at site and continental scales. Site descriptions and detailed data also are provided in the appendix section.</p>},
	keywords = {LTER-KNZ, atmospheric chemistry, Climate change, cross-site comparisons, disturbance, ecological response, ecology, ecosystem, EcoTrends, experimental forests, global change, human demography, human population growth, Long Term Ecological Research (LTER), long-term datasets, Precipitation, rangeland, rangeland research stations, surface water chemistry},
	author = {Peters, D.P.C. and Laney, C.M. and Lugo, A.E. and Scott. L. Collins and Driscoll, C.T. and Groffman, P.M. and Grove, J.M. and Alan K. Knapp and Kratz, T.K. and Ohman, M.D. and Waide, R.B. and Yao, J.}
}
@inbook {KNZ001204,
	title = {Approaches to predicting broad-scale regime shifts using changing pattern-process relationships across scales},
	booktitle = {Real World Ecology:  Design and Analyses of Large-Scale and Long-Term Research},
	year = {2009},
	publisher = {Springer-Verlag, NY},
	organization = {Springer-Verlag, NY},
	abstract = {Understanding and predicting the occurrence of alternative ecosystem states (i.e., regime shifts) at broad scales is a pressing challenge for ecologists given the scope and nature of global change. In many cases, regime shifts at broad-scales are affected by pattern-process relationships across a range of finer scales. However, experimental and analytical methods to examine state changes, such as from perennial grasslands to woodlands, have not been fully developed. We first define and describe the expansion of woody plants into perennial grasslands. Woody plant encroachment has well-documented consequences for local, regional, and global ecology, and takes several forms, from shrub invasion in arid/semiarid grasslands and arctic ecosystems to tree invasion in mesic and alpine grasslands. We then outline a multi-scale experimental approach to examining the key processes influencing woody plant encroachment from fine to broad scales, and describe the application of this approach to the Jornada Basin Agricultural Research Service-Long Term Ecological Research site as a case study. Several questions can be addressed with this approach, such as: how and under what conditions do dynamics and decisions made at fine scales influence dynamics at broader scales? How and under what conditions do broad-scale dynamics overwhelm fine-scale processes to influence landscape patterns? Finally, we discuss analytical techniques for predicting regime shifts and their associated thresholds.},
	keywords = {LTER-KNZ, broad-scale regime, pattern-process},
	url = {http://www.springer.com/us/book/9780387779416},
	author = {Peters, D.P.C. and B.T. Bestelmeyer and Alan K. Knapp and Herrick, J.E. and Monger, H.C. and Havstad, K.M.},
	editor = {Miao, S. and Carstenn, S. and Nungesser, M.}
}
@article {KNZ001191,
	title = {Predicting and understanding ecosystem responses to climate change at continental scales},
	journal = {Frontiers in Ecology and the Environment},
	volume = {6},
	year = {2008},
	pages = {273 -280},
	abstract = {<p>Climate is changing across a range of scales, from local to global, but ecological consequences remain difficult to understand and predict. Such projections are complicated by change in the connectivity of resources, particularly water, nutrients, and propagules, that influences the way ecological responses scale from local to regional and from regional to continental. This paper describes ecological responses to expected changes in four key meso-scale drivers that influence the ecosystems of the North American continental interior: drought, warming, snowpack disappearance, and altered fire regimes. Changes in these drivers will affect, for example, atmospheric smoke, dust, and reactive nitrogen concentrations; stream discharge; nitrate concentrations; sediment loads; and the vector-borne spread of invasive species and infectious diseases. A continental network of sensors and simulation models is required to detect changes in the transport vectors \&ndash; atmospheric, hydrologic, and mechanized \&ndash;that connect spatial scales. Knowledge of these downwind, downstream, and down-corridor effects will be critical if we are to understand and forecast responses to climate change at regional to continental scales.</p>},
	keywords = {LTER-KNZ},
	doi = {10.1890/070165},
	url = {https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/070165},
	author = {Marshall, J.D. and John M. Blair and Peters, D.P.C. and Okin, G. and Rango, A. and Williams, M.}
}
