Konza LTER Publications
Wallowing behavior of American bison (Bos bison) in tallgrass prairie: an examination of alternate explanations. The American Midland Naturalist. 2000;144:159 -167. doi:10.1674/0003-0031(2000)144[0159:WBOABB]2.0.CO;2.
. Microhabitat and space use by Peromyscus leucopus : influence of vertical and horizontal structure. 1994;MS Thesis:1 -59.
. Short-term responses of small mammals to autumn fire in tallgrass prairie. Prairie Naturalist. 1995;27:158 -166.
. Vegetation responses to an animal-generated disturbance (bison wallows) in tallgrass prairie. American Midland Naturalist. 2011;165:60 -73. doi:10.1674/0003-0031-165.1.60.
. Small mammals in northeastern Kansas: differences in use of interspersed woodland and grassland. The Prairie Naturalist. 1994;26:107 -116.
. Mammals of the Konza Prairie: new observations and an updated species list. The Prairie Naturalist. 1997;29:263 -271.
. Travel path characteristics for free-living white-footed mice (Peromyscus leucopus). Canadian Journal of Zoology. 1995;73:1474 -1478. doi:10.1139/z95-174.
. Factors influencing persistence of white-footed mice (Peromyscus leucopus). The Prairie Naturalist. 2005;37:29 -40. doi:10.2307/2937372.
. Effects of rangeland management on the site occupancy dynamics of prairie-chickens in a protected prairie preserve. Journal of Wildlife Management. 2012;76:38 -47. doi:10.1002/jwmg.237.
. Estimating the stage of incubation for nests of Greater Prairie-chickens using egg flotation: a float curve for grousers. Grouse News. 2009;38:12 -14. Available at: https://www.researchgate.net/publication/228517269_Estimating_the_stage_of_incubation_for_nests_of_Greater_Prairie-Chickens_using_egg_flotation_a_float_curve_for_grousers.
. Human-mediated selection on life-history traits of Greater Prairie-Chickens. Studies in Avian Biology. 2011;39:255 -266. Available at: https://alaska.usgs.gov/science/biology/landbirds/pdfs/McNew_etal_2011_sab2.pdf.
. Demography of Greater Prairie-Chickens: regional variation in vital rates, sensitivity values, and population dynamics. Journal of Wildlife Management. 2012;76:987 -1000. doi:10.1002/jwmg.369.
. 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.
. Spatial heterogeneity in habitat selection: nest site selection by Greater Prairie-Chickens. Journal of Wildlife Management. 2013;77:791 -801. doi:10.1002/jwmg.493.
. An analysis of greater prairie-chicken demography in Kansas: the effects of human land use on the population ecology of an obligate grassland species. 2010;PhD Dissertation. Available at: http://krex.k-state.edu/dspace/handle/2097/4316.
. Fire and grazing impacts on silica production and storage in grass dominated ecosystems. Biogeochemistry. 2010;97:263 -278. doi:10.1007/s10533-009-9371-3.
Regional-climate and local-microbial controls on ecosystem processes during grassland restoration. 2013;MS Thesis. Available at: http://opensiuc.lib.siu.edu/theses/1338/.
. Bryophytes of konza prairie research natural area, Kansas. The Bryologist. 1991;94:383 -391. doi:10.2307/3243827 .
. . New records for Kansas mosses. Transactions of the Kansas Academy of Science. 1989;92:70 -78. doi:10.2307/3628192.
. New records for Kansas mosses, III. Evansia. 1991;8:25 -31.
. New records for Kansas mosses, II. Transactions of the Kansas, Academy of Science. 1991;94:22 -29. doi:http://www.jstor.org/stable/3628036.
. Contribution to the taxonomy and faunistics of the genus Meropleon Dyar (Lepidoptera: Noctuidae). 2005:812 -819. Available at: http://cat.inist.fr/?aModele=afficheN&cpsidt=17159757.
. Life history and secondary production of grasshoppers (Orthoptera: Acrididae) in a Kansas tallgrass prairie. 2000;MS Thesis:1 -90.
. Life history, secondary production, and ecosystem significance of acridid grasshoppers in annually burned and unburned tallgrass prairie. American Entomologist. 2002;48:40 -49.
. Stream Research in the LTER Network. Seattle, WA: LTER Network LTER publication no. 15; 1993:114 -.
Transition and resilience in the Kansas Flint Hills. Online Journal of Rural Research and Policy. 2009;4.3:1 -28. doi:10.4148/ojrrp.v4i3.109.
. Agrarian Landscape Transition in the Flint Hills of Kansas:Legacies and Resilience. In: Agrarian Landscapes in Transition: Comparisons of Long TermEcological&Cultural Change. Agrarian Landscapes in Transition: Comparisons of Long TermEcological&Cultural Change. New York: Oxford University Press; 2008:206 -237.
. Soil CO2 flux in a tallgrass prairie. Soil Biology & Biochemistry. 2000;32:221 -228. doi:10.1016/S0038-0717(99)00150-9.
. Avian habitat selection in the attenuated riparian forest on the tallgrass prairie. 1988;MS Thesis:1 -57. Available at: http://krex.k-state.edu/dspace/handle/2097/22350.
. Arbuscular Mycorrhizae and Grassland Ecosystems. In: Biocomplexity of Plant-Fungal Interactions. Biocomplexity of Plant-Fungal Interactions. Oxford, UK: Wiley-Blackwell; 2012:59 -85. doi:10.1002/9781118314364.ch3.
. Mycorrhizal fungi affect root stele tissue in grasses. Canadian Journal of Botany. 1997;75:1778 -1784. doi:10.1139/b97-892.
. Experimentaldesign for two-color microarrays applied in a pre-existing split-plotexperiment. Statistical Applications in Genetics and Molecular Biology. 2007;6. doi:10.2202/1544-6115.1245.
. Indications of landscape condition at many scales. . Ecological Indicators. 1992:893 -895.
. Multiscale assessment of binary and continuous landcover variables for MODIS validation, mapping, and modeling applications. Remote Sensing of the Environment. 1999;70:82 -98. doi:10.1016/S0034-4257(99)00059-0.
. Watershed and fire severity are stronger determinants of soil chemistry and microbiomes than within-watershed woody encroachment in a tallgrass prairie system. FEMS Microbiology Ecology. 2021;97(12):fiab154. doi:10.1093/femsec/fiab154.
. Soil characteristics and ecosystem-level effects of woody species encroachment in tallgrass prairie. 2016;MS Thesis. Available at: https://shareok.org/handle/11244/54571.
. Trophic interactions and plant species richness along a productivity gradient. Oikos. 1996;76:603 -607. doi:10.2307/3546357.
. Phenotypic plasticity and ecological memory in Andropogon gerardii: responses to simulated grazing pressure. Department of Biology. 2024;MS Thesis. Available at: https://krex.k-state.edu/items/bd2c8631-5a03-409c-ab70-9a791d2850d1.
. Data fusion of distance sampling and capture-recapture data. Journal of Spatial Statistics. 2023;55:100756. doi:10.1016/j.spasta.2023.100756.
. Data fusion and spatio-temporal approaches to model species distribution. Department of Statistics. 2022;PhD Dissertation. Available at: https://krex.k-state.edu/dspace/handle/2097/42172.
. Multi-scale burned area mapping in tallgrass prairie using in situ spectrometry and satellite imagery. 2011;PhD Dissertation. Available at: http://hdl.handle.net/2097/11986.
. Optimizing radio retention andminimizing radio impacts in a field study of Upland Sandpipers. Journal ofWildlife Management. 2007;71:971 -980. doi:10.2193/2005-775.
. Using radio-telemetry to determine range and resourcerequirements of Upland Sandpipers at an experimentally managed prairielandscape. 2005;MS Thesis. Available at: http://hdl.handle.net/2097/117 .
. Regional and interspecific variation in Sr, Ca, and Sr/Ca ratios in avian eggshells from the USA. Ecotoxicology. 2011;20:1467 -1475. doi:10.1007/s10646-011-0703-4.
. Effects of spring burning and fungicide application on growth of warm season grasses and their pathogens in a native tallgrass prairie, greenhouse, and monoculture. 2003;MS Thesis:1 -56.
. Water relations in grassland and desert ecosystems exposed to elevated atmospheric CO2. Oecologia. 2004;140:11 -25. doi:10.1007/s00442-004-1550-2.
Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century. Frontiers in Ecology and the Environment. 2009;7:253 -260. doi:10.1890/070217.
Drought‐tolerant grassland species are generally more resistant to competition. Journal of Ecology. 2024;112(2):416-426. doi:10.1111/1365-2745.14243.
Phenology-adjusted dynamic curve number for improved hydrologic modeling. Journal of Environmental Management. 2019;235:403 - 413. doi:10.1016/j.jenvman.2018.12.115.
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