Konza LTER Publications
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Responses of two bunchgrasses to nitrogen addition in tallgrass prairie: the role of bud bank demography. American Journal of Botany. 2008;95:672 -680. doi:10.3732/ajb.2007277.
. Responses of the co-dominant grassland species Andropogon gerardii and Sorghastrum nutans to long-term manipulations of nitrogen and water. American Midland Naturalist. 2001;145:159 -167. doi:10.1674/0003-0031(2001)145[0159:ROTCGS]2.0.CO;2.
. 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.
. Resources do not limit compensatory response of a tallgrass prairie plant community to the loss of a dominant species. Journal of Ecology. 2021;109(10):3617-3633. doi:10.1111/1365-2745.13741.
. Resource availability modulates above and belowground competitive interactions between genotypes of a dominant C4 grass. Functional Ecology. 2014;28:1041 -1051. doi:10.1111/1365-2435.12227.
. Resolving the Dust Bowl paradox of grassland responses to extreme drought. Proceedings of the National Academy of Sciences. 2020;117(36):22249-22255. doi:10.1073/pnas.1922030117.
Resolving the Dust Bowl paradox of grassland responses to extreme drought. Proceedings of the National Academy of Sciences. 2020;117(36):22249-22255. doi:10.1073/pnas.1922030117.
Resistance and resilience of a grassland ecosystem to climate extremes. Ecology. 2014;95:2646 -2656. doi:10.1890/13-2186.1.
. Reproductive biology of a southern population of Greater Prairie-Chickens. Studies in Avian Biology. 2011;39:209 -221. Available at: https://alaska.usgs.gov/science/biology/landbirds/pdfs/McNew_etal_2011_sab1.pdf.
. Repeated extreme droughts decrease root production, but not the potential for post‐drought recovery of root production, in a mesic grassland. Oikos. 2023;1:e08899. doi:10.1111/oik.08899.
. Repeated extreme droughts decrease root production, but not the potential for post‐drought recovery of root production, in a mesic grassland. Oikos. 2023;1:e08899. doi:10.1111/oik.08899.
. Reovirus associated with mortality of an Upland Sandpiper. Wader Study GroupBulletin. 2008;115:60 -61.
. Remotely sensed soil moisture can capture dynamics relevant to plant water uptake. Water Resources Research. 2023;59(2):e2022WR033814. doi:10.1029/2022WR033814.
Remote sensing measurements of production processes in grazing lands: the need for new methodologies. Agriculture, Ecosystems and Environment. 1991;34:495 -505. doi:10.1016/0167-8809(91)90132-H.
. Relative effects of precipitation variability and warming on tallgrass prairie ecosystem function. Biogeosciences. 2011;8:3053 -3068. doi:10.5194/bg-8-3053-2011.
. Relationships at the aboveground-belowground interface: Plants, soil biota, and soil processes. Ecological Monographs. 2003;73:377 -395. doi:10.1890/0012-9615(2003)073[0377:RATAIP]2.0.CO;2.
The relations of phytophagous invertebrates and rangeland plants. In: Wildland Plants: Physiological Ecology and Developmental Morphology. Wildland Plants: Physiological Ecology and Developmental Morphology. Denver, CO: Society for Range Management; 1995:580 -634.
. The relations of phytophagous invertebrates and rangeland plants. In: Wildland Plants: Physiological Ecology and Developmental Morphology. Wildland Plants: Physiological Ecology and Developmental Morphology. Denver, CO: Society for Range Management; 1995:580 -634.
. Relating biophysical processes to spatial patterns of spectral reflectance: A multiple-scale analysis of prairie vegetation canopies. 2000;23:190 -198.
. 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.
Reintroducing bison results in long-running and resilient increases in grassland diversity. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES. 2022;119(36):e2210433119. doi:10.1073/pnas.2210433119.
Regional grassland productivity responses to precipitation during multiyear above- and below-average rainfall periods. Global Change Biology. 2018;24(5):1935 - 1951. doi:10.1111/gcb.2018.24.issue-510.1111/gcb.14024.
Regional grassland productivity responses to precipitation during multiyear above- and below-average rainfall periods. Global Change Biology. 2018;24(5):1935 - 1951. doi:10.1111/gcb.2018.24.issue-510.1111/gcb.14024.
Regional grassland productivity responses to precipitation during multiyear above- and below-average rainfall periods. Global Change Biology. 2018;24(5):1935 - 1951. doi:10.1111/gcb.2018.24.issue-510.1111/gcb.14024.
Regional climatic similarities in the temperate zones of North and South America. Journal of Biogeography. 1995;22:915 -925. Available at: http://www.jstor.org/stable/2845992.
. Regional analysis of the central Great Plains. BioScience. 1991;41:685 -692. doi:http://www.jstor.org/stable/1311763.
. . 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/.
. 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.
. Reconciling inconsistencies in precipitation– productivity relationships: implications for climate change. New Phytologist. 2017;214(1):41-47. doi:10.1111/nph.14381.
. Reciprocal transplant gardens as gold standard to detect local adaptation in grassland species: New opportunities moving into the 21st century. Journal of Ecology. 2022;110(5):1054-1071. doi:10.1111/1365-2745.13695.
A reality check for climate change experiments: Do they reflect the real world?. Ecology. 2018;99(10):2145-2151. doi:10.1002/ecy.2474.
A reality check for climate change experiments: Do they reflect the real world?. Ecology. 2018;99(10):2145-2151. doi:10.1002/ecy.2474.
Rare species of small mammals in northeastern Kansas tallgrass prairie. . 1999:120 -126. Available at: http://images.library.wisc.edu/EcoNatRes/EFacs/NAPC/NAPC16/reference/econatres.napc16.bmcmillan.pdf.
. Rank clocks and plant community dynamics. Ecology. 2008;89:3534 -3541. doi:10.1890/07-1646.1.
Rangeland responses to predicted increases in drought extremity. Rangelands . 2016;38:191-196. Available at: http://dx.doi.org/10.1016/j.rala.2016.06.009.
. Rainfall‐manipulation experiments as simulated by terrestrial biosphere models: where do we stand?. Global Change Biology. 2020;26:3336–3355. doi:10.1111/gcb.15024.
Rainfall‐manipulation experiments as simulated by terrestrial biosphere models: where do we stand?. Global Change Biology. 2020;26:3336–3355. doi:10.1111/gcb.15024.
Rainfall‐manipulation experiments as simulated by terrestrial biosphere models: where do we stand?. Global Change Biology. 2020;26:3336–3355. doi:10.1111/gcb.15024.
Rainfall variability has minimal effects on grassland recovery from repeated grazing. Journal of Vegetation Science. 2014;25:36 -44. doi:10.1111/jvs.12065.
. Rainfall variability, carbon cycling and plant species diversity in a mesic grassland. Science. 2002;298:2202 -2205. doi:10.1126/science.1076347.
Quantifying global soil carbon losses in response to warming. Nature. 2016;540(7631):104 - 108. doi:10.1038/nature20150.
Quantifying global soil carbon losses in response to warming. Nature. 2016;540(7631):104 - 108. doi:10.1038/nature20150.
Quantifying global soil carbon losses in response to warming. Nature. 2016;540(7631):104 - 108. doi:10.1038/nature20150.
Quantifying global soil carbon losses in response to warming. Nature. 2016;540(7631):104 - 108. doi:10.1038/nature20150.
Quantification of the nitrogen cycle in a prairie stream. Ecosystems. 2000;3:574 -589. doi:10.1007/s100210000050.
Quantification of the nitrogen cycle in a prairie stream. Ecosystems. 2000;3:574 -589. doi:10.1007/s100210000050.
Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years. Global Change Biology. 2017;23(5):1774-1782. doi:10.1111/gcb.13504.
Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years. Global Change Biology. 2017;23(5):1774-1782. doi:10.1111/gcb.13504.
Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years. Global Change Biology. 2017;23(5):1774-1782. doi:10.1111/gcb.13504.