Konza LTER Publications

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Ross M. Response and recovery of grassland plant communities exposed to multiyear drought differs across a precipitation gradient. 2022;MS Thesis. Available at: https://api.mountainscholar.org/server/api/core/bitstreams/d7eb2bdf-6570-4232-abc4-8229e1c8f835/content.
Rostkowski, Jr. SC. Long-term effects of climate change on grassland soil systems: A reciprocal transplant approach. 2011;MS Thesis. Available at: http://hdl.handle.net/2097/7068.
Roth TC, Pravosudov VV. Tough times call for bigger brains. Communicative and Integrative Biology. 2009;2:1 -3. doi:10.4161/cib.2.3.8099.
Roth TC, LaDage LD, Pravosudov VV. Learning capabilities enhanced in harsh environments: a common garden approach. Proceedings of the Royal Society Biological Sciences. 2010;277:3187 -3193. doi:10.1098/rspb.2010.0630.
Roth TC, Pravosudov VV. Hippocampal volumes and neuron numbers increase along a gradient of environmental harshness: a large-scale comparison. Proceedings of the Royal Society B. 2009;276:401 -405. doi:10.1098/rspb.2008.1184.
Rouse MN. Diversity of a disease resistance gene homolog in Andropogon gerardii (Poaceae) is correlated with precipitation. 2007;MS Thesis:1 -53. Available at: http://hdl.handle.net/2097/517.
Rouse MN, Saleh AA, Seck A, et al. Genomic and resistance gene homolog diversity of the dominant tallgrass prairie species across the U.S. Great Plains precipitation gradient. PLoS ONE. 2011;6:e17641. doi:10.1371/journal.pone.0017641.
Rudgers JA, Fox S, Porras-Alfaro A, et al. Biogeography of root-associated fungi in foundation grasses of North American plains. Biogeography. 2022;49(1):22-37. doi:10.1111/jbi.14260.
Rüegg J, Eichmiller JJ, Mladenov N, Dodds WK. Dissolved organic carbon concentration and flux in a grassland stream: spatial and temporal patterns and processes from long-term data. Biogeochemistry. 2015;125(3):393 - 408. doi:10.1007/s10533-015-0134-z.
Rüegg J, Dodds WK, Daniels MD, et al. Baseflow physical characteristics differ at multiple spatial scales in stream networks across diverse biomes. Landscape Ecology. 2016;31(1):119-136. doi:10.1007/s10980-015-0289-y.
Ruffing CM, Veach AM, Schechner A, Rüegg J, Trentman MT, Dodds WK. Prairie stream metabolism recovery varies based on antecedent hydrology across a stream network after a bank‐full flood. Limnology and Oceanography. 2022;67(9):1986-1999. doi:10.1002/lno.12182.
Rundquist BC. Fine-scale spatial and temporal variation in the relationship between spectral reflectance and a prairie vegetation canopy. 2000;PhD Dissertation:1 -209. Available at: http://adsabs.harvard.edu/abs/2000PhDT....97R.
Rundquist BC. The influence of canopy green vegetation fraction on spectral measurements over native tallgrass prairie. Remote Sensing of the Environment. 2002;81:129 -135. doi:10.1016/S0034-4257(01)00339-X.
Rundquist BC, Goodin DG, Smith AJ. Relating biophysical processes to spatial patterns of spectral reflectance: A multiple-scale analysis of prairie vegetation canopies. 2000;23:190 -198.
Rustiati EL, Kaufman DW. Effect of sodium on seed choice by deer mice, white-footed mice, and hispid cotton rats. Transactions of the Kansas Academy of Science. 1994;97:143 -148. doi:10.2307/3627783.
Rustiati EL. Experimental analyses of the effects of prairie ash and sodium on food choices by prairie rodents. 1993;MS Thesis:1 -43.
Rustiati EL, Kaufman DW. Effect of prairie-fire ash on food choice by deer mice and hispid cotton rats. The Prairie Naturalist. 1993;25:305 -308.
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Sadayappan K, Keen R, Jarecke KM, et al. Drier streams despite a wetter climate in woody-encroached grasslands. Journal of Hydrology. 2023;627:130388. doi:10.1016/j.jhydrol.2023.130388.
Saleh AA, Ahmed HU, Todd TC, et al. Relatedness of Macrophomina phaseolina isolates from tallgrass prairie, maize, soybean, and sorghum. Molecular Ecology. 2010;19:79 -91. doi:10.1111/j.1365-294X.2009.04433.x.
Saleh AA, Kraisitudomsook N, Frank E, Dendy S, Leslie J, Garrett K. Phytobiome stampede: Bison as potential dispersal agents for the tallgrass prairie microbiome. PhytoFrontiers™. In Press. doi:10.1094/PHYTOFR-01-23-0004-SC.
Sanchez JC, Reichman OJ. The effects of conspecifics on caching behavior of Peromyscus leucopus. Journal of Mammalogy. 1987;68:695 -697. doi:10.2307/1381609.
Sandel B, Goldstein LJ, Kraft NJ, et al. Contrasting trait responses in plant communities to experimental and geographic variation in precipitation. New Phytologist. 2010;188:565 -575. doi:10.1111/j.1469-8137.2010.03382.x.
Sandercock BK, Jensen WE, Williams CK, Applegate RD. Demographic sensitivity of population change in the Northern Bobwhite. Journal of Wildlife Management. 2008;72:970 -982. doi:10.2193/2007-124.
Sandercock BK, Hewett EL, Kosciuch KL. Effects of experimental cowbird removals on brood parasitism and nest predation in a grassland songbird. Auk. 2008;125:820 -830. doi:10.1525/auk.2008.06155.
Sandercock BK, Kramos G. Longevity records show that Upland Sandpipers are long-lived birds. Wader Study. 2020;127(1):60 -64. doi:10.18194/ws.00177.
Sandercock BK, Casey AE, Green DE, Ip HS, Converse KA. Reovirus associated with mortality of an Upland Sandpiper. Wader Study GroupBulletin. 2008;115:60 -61.
Sandercock BK. Estimation of demographic parameters from liveencounter data: a summary review. Journal of Wildlife Management. 2006;70:1504 -1520. doi:10.2193/0022-541X(2006)70[1504:EODPFL]2.0.CO;2.
Sandercock BK, Alfaro-Barrios M, Casey AE, et al. Effects of grazing and prescribed fire on resource selection and nest survival of upland sandpipers in an experimental landscape. Landscape Ecology. 2015;30:325 -337. doi:10.1007/s10980-014-0133-9.
Sandercock BK, Wisely SM, McNew LB, Gregory AJ, Winder VL, Hunt LM. Environmental impacts of wind power development on the population biology of Greater Prairie-Chickens. U.S. Department of Energy, Final Project Report for Award DOE/EE0000526 (technical report). Final Project Report for Award DOE/EE0000526. 2013.
Santanachote K. The vegetation cover, seed bank, seed rain, and seed reproduction of the relictual tallgrass prairie of Boulder county, Colorado. 1992;PhD Dissertation:1 -191.
Santos M, Santos E, Wagner-Riddle C, et al. Evaluating a Lagrangian inverse model for inferring isotope CO2 exchange in plant canopies. Agricultural and Forest Meteorology. 2019;276-277:107651. doi:10.1016/j.agrformet.2019.107651.
Schaefer J, Gido KB, Smith MD. A test for community change using a null model approach. Ecological Applications. 2005;15:1761 -1771. doi:10.1890/04-1490.
Schaeffer DJ, Seastedt TR, Gibson DJ, et al. Field bioassessment for selecting test systems to evaluate military training lands in tallgrass prairie. Ecosystem Health.V.1 Environmental Management. 1990;14:81 -93. doi:10.1007/BF02394022.
Schartz RJ, Janke RR. Evaluation of native legumes for use as cover crops. Journal of Sustainable Agriculture. 1999;15:45 -59. doi:10.1300/J064v15n02_06.
Schimel DS, Kittel TGF, Knapp AK, Seastedt TR, Parton WJ, Brown VB. Physiological interactions along resource gradients in a tallgrass prairie. Ecology. 1991;72:672 -684. doi:10.2307/2937207.
Schmitt-McCain KN. Limitations to plant diversity and productivity in tallgrass prairie. 2008;PhD Dissertation:1 -137. Available at: http://hdl.handle.net/2097/726.
Schmugge TJ, Wang JR, Lawrence RW. Results from the pushbroom microwave radiometer flights over the Konza Prairie in 1985. 1987:877 -881.
Schmugge TJ, Kanemasu ET, Asrar GA. Airborne multispectral observations over burned and unburned prairies. 1987:203 -207.
Schmugge TJ, Wang JR, Asrar GA. Results from the push broom microwave radiometer flights over the Konza Prairie in 1985. IEEE Transactions on Geoscience and Remote Sensing. 1988;26:590 -596. doi:10.1109/36.7684.
Scholten VDH. A study of the process to adapt a Kansas ranch house site for use as a biological educational research center. 1987;MS Thesis:1 -270. Available at: http://krex.k-state.edu/dspace/handle/2097/22314.
Schook DM, Collins MD, Jensen WE, Williams PJ, Bader NE, Parker TH. Geographic patterns of song similarity in the Dickcissel (Spiza americana). Auk. 2008;125:953 -964. doi:10.1525/auk.2008.07164.
Schowalter TD, Zhang YI, Sabin TE. Decomposition and nutrient dynamics of Oak (Quercus spp.) logs after five years of decomposition. Ecography. 1998;21:3 -10. doi:10.1111/j.1600-0587.1998.tb00388.x.
Schultz PA, Miller RM, Jastrow JD, Rivetta CV, Bever JD. Evidence of a mycorrhizal mechanism for the adaptation of Andropogon gerardii (Poaceae ) to high- and low-nutrient prairies. American Journal of Botany. 2001;88:1650 -1656. Available at: http://www.ncbi.nlm.nih.gov/pubmed/21669699.
Scott DA, Baer SG. Diversity patterns from sequentially restored grasslands support the ‘environmental heterogeneity hypothesis’. Oikos. 2019;128(8):1116 - 1122. doi:10.1111/oik.05877.
Scott DA, Bach EM, Preez CCDu, Six J, Baer SG. Mechanisms influencing physically sequestered soil carbon in temperate restored grasslands in South Africa and North America. Biogeochemistry. 2021. doi:10.1007/s10533-021-00774-y.
Scott DA, Baer SG. Degraded soil increases the performance of a dominant grass, Andropogon gerardii (Big bluestem). Plant Ecology. 2018;219(10):901 - 911. doi:10.1007/s11258-018-0844-0.
Scott DA, Baer SG, Blair JM. Recovery and relative influence of root, microbial, and structural properties of soil on physically sequestered carbon stocks in restored grassland. Soil Science Society of America Journal. 2017;81(1):50-60. doi:10.2136/sssaj2016.05.0158.
Scott DA, Rosenzweig ST, Baer SG, Blair JM. Changes in potential nitrous oxide efflux during grassland restoration. Journal of Environmental Quality. 2019;48(6):1913-1917.
Scott D. Environmental heterogeneity effects on diversity and nitrous oxide emissions from soil in restored prairie. Department of Plant Biology. 2019;PhD Dissertation. Available at: https://opensiuc.lib.siu.edu/dissertations/1683/.
Scott DA. Recovery of whole soil conditions through restoration from agriculture and its role in mediating plant-plant competition. 2015;MS Thesis. Available at: https://opensiuc.lib.siu.edu/theses/1826/.

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