Konza LTER Publications

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Soong JL, Dam M, Wall DH, M. Cotrufo F. Below‐ground biological responses to pyrogenic organic matter and litter inputs in grasslands. Nicolson SW, Wright GA, Sala A. Functional Ecology. 2017;31(1):260 - 269. doi:10.1111/fec.2017.31.issue-110.1111/1365-2435.12693.

Newcomb LC. Regional diversity of braconid wasps (Braconidae: Hymenoptera) collected from sites in Arkansas, Oklahoma and Kansas. 2001;PhD Dissertation:1 -219. Available at: https://library.uark.edu/search~S14?/X%28braconid+wasps+%29&SORT=D&searchscope=14/X%28braconid+wasps+%29&SORT=D&searchscope=14&SUBKEY=(braconid+wasps+)/1%2C2%2C2%2CB/frameset&FF=X%28braconid+wasps+%29&SORT=D&searchscope=14&1%2C1%2C.

Nepal MP. Systematics and reproductive biology of Morus L. (Moraceae). 2008;PhD Dissertation. Available at: http://hdl.handle.net/2097/937.

Nepal MP, Ferguson CJ. Phylogenetics of Morus (Moraceae) inferred from ITS and trnL-trnF sequence data. Systematic Botany. 2012;37:442 -450. doi:https://doi.org/10.1600/036364412X635485.

Nepal MP, Ferguson CJ, Mayfield MH. Breeding system and sex ratio variation in mulberries. Journal of the Botanical Research Institute of Texas. 2015;9(2):383-395.

Nelson W, Anderson L, Wu R, et al. Terabase metagenome sequencing of grassland soil microbiomes. Microbiology Resource Announcements. 2020;9(32):00718-20. doi:10.1128/MRA.00718-20.

Nellis MD, Briggs JM. Transformed vegetation index for measuring spatial variation in drought impacted biomass on Konza Prairie, Kansas. Transactions of the Kansas Academy of Science. 1992;95:93 -99. doi:10.2307/3628024.

Nellis MD. Remote sensing for monitoring rangeland management strategies in the Kansas Flint Hills. International Archives of Photogrammetry and Remote Sensing. 1986;26:370 -375.

Nellis MD, Briggs JM. Micro-based Landsat TM data processing for tallgrass prairie monitoring in the Konza Prairie Research Natural Area, Kansas. Papers and Proceedings of the Applied Geography Conference. 1987;10:76 -80.

Nellis MD, Briggs JM, Seyler HL. Growth and transition: Remote sensing and geographic information systems at Kansas State University. Photogrammetric Engineering and Remote Sensing. 1992;58:1159 -1161.

Nellis DM, Briggs JM. SPOT satellite data for pattern recognition on the North American tall-grass prairie Long-term Ecological Research Site. Geocarto International. 1988;3:37 -40. doi:10.1080/10106048809354174.

Nellis MD, Lulla K, Briggs JM. Space shuttle photography for monitoring global change. 1994:532 -534.

Nellis MD, Briggs JM. The effects of spatial scale on Konza landscape classification using textural analysis. Landscape Ecology. 1989;2:93 -100. doi:10.1007/BF00137153.

Nellis MD, Briggs JM. Modelling impact of bison on tallgrass prairie. Transactions Kansas Academy of Science. 1997;100:3 -9.

Nellis MD, Bathgate JD, Briggs JM. Geographic information systems for modeling bison impact on Konza Prairie, Kansas. GIS/LIS Proceedings. 1992;2:618 -623.

Nellis MD. Intergrating field experiences with remote sensing for understanding vegetation indices. In: Nellis MD, Lougeay R, Lulla K Current Trends in Remote Sensing Education. Current Trends in Remote Sensing Education. Hong Kong: Geocarto International Centre; 1989:93 -100.

Nassar R, Stewart R, Tate CM. Stochastic analysis of the dynamics of nitrogen concentration in a stream ecosystem. Ecological Modeling. 1991;56:33 -45. doi:10.1016/0304-3800(91)90191-3.

Narayanan A, Ismert KJ, Smith MD, Jumpponen A. Soil fungal communities are compositionally resistant to drought manipulations – Evidence from culture-dependent and culture-independent analyses. Fungal Ecology. 2021;51:101062. doi:10.1016/j.funeco.2021.101062.

N'Guessan M. Effects of grazing on growth and morphology of rhizomatous and caespitose grasses in tallgrass prairie. 2007;MS Thesis:1-65. Available at: http://hdl.handle.net/2097/398 .

M

Musick BH, Grover HD. Image textural measures as indices of landscape patterns. In: Turner MG, Gardner RH Quantitative Methods in Landscape Ecology: The Analysis and Interpretation of Landscape Heterogeneity. Quantitative Methods in Landscape Ecology: The Analysis and Interpretation of Landscape Heterogeneity. New York, NY: SpringerVerlag; 1991:77 -103.

Mushinsky HR, Gibson DJ. The influence of fire periodicity on habitat structure. In: Bell SS, McCoy ED, Mushinsky HR Habitat Complexity: The Physical Arrangement of Objects in Space. Habitat Complexity: The Physical Arrangement of Objects in Space. London: Chapman and Hall; 1991:237 -259.

Murdock JM, Gido KB, Dodds WK, Bertrand KN, Whiles MR. Consumer return chronology alters recovery trajectory of stream ecosystem structure and function following drought. Ecology. 2010;91:1048 -1062. doi:10.1890/08-2168.1.

Murdock JN, Dodds WK. Linking benthic algal biomass to stream substratum topography. Journal of Phycology. 2007;43:449 -460. doi:10.1111/j.1529-8817.2007.00357.x.

Murdock JN, Dodds WK, Gido KB, Whiles MR. Dynamic influences of nutrients and grazing fish on periphyton during recovery from flood. Journal of the North American Benthological Society. 2011;30:331 -345. doi:10.1899/10-039.1.

Mulholland PJ, Helton AM, Poole GC, et al. Stream denitrification across biomes and its response to anthropogenic nitrate loading. Nature. 2008;452:202 -207. doi:10.1038/nature06686.

Mulholland PJ, Hall RO, Sobota DJ, et al. Nitrate removal in stream ecosystems measured by 15N addition experiments: Denitrification. Limnology and Oceanography. 2009;54:666 -680. doi:10.4319/lo.2009.54.3.0666.

Mulholland PJ, Fellows CS, Tank JL, et al. Inter-biome comparison of factors controlling stream metabolism. Freshwater Biology. 2001;46:1503 -1517. doi:10.1046/j.1365-2427.2001.00773.x.

Mulholland PJ, Tank JL, Webster JR, et al. Can uptake length in streams be determined by nutrient addition experiments? Results from an inter-biome comparison study. Journal of the North American Benthological Society. 2002;21:544 -560. doi:10.2307/1468429.

Muhtasib HU. Effect of silicon nutrition on grass growth rate, grass structure, grass fertility and on the food choice of the prairie vole, Microtus ochrogaster. 1990;PhD Dissertation:1 -148.

Muench A, O'Keefe K, Nippert JB. Comparative ecohydrology between Cornus drummondii and Solidago canadensis in upland tallgrass prairie. Plant Ecology. 2016;217(2):267-276. doi:10.1007/s11258-016-0567-z.

Muehleisen AJ, Watkins CRE, Altmire GR, et al. Nutrient addition drives declines in grassland species richness primarily via enhanced species loss. Journal of Ecology. 2023;111(3):552-563. doi:10.1111/1365-2745.14038.

Muche ME, Hutchinson SL, Hutchinson JMShawn, Johnston JM. 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.

Mount HE, Smith MD, Knapp AK, et al. Drought‐tolerant grassland species are generally more resistant to competition. Journal of Ecology. In Press. doi:10.1111/1365-2745.14243.

Morisette JT, Richardson AD, Knapp AK, et al. 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.

Morgan GW. 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.

Morgan JA, Pataki DE, Korner C, et al. Water relations in grassland and desert ecosystems exposed to elevated atmospheric CO2. Oecologia. 2004;140:11 -25. doi:10.1007/s00442-004-1550-2.

Mora MA, Brattin B, Baxter C, Rivers JW. 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.

Mong TW. 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 .

Mong TW, Sandercock BK. 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.

Mohler R. 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.

Mohankumar NM, Hefley TJ, Silber KM, Boyle WA. Data fusion of distance sampling and capture-recapture data. Journal of Spatial Statistics. 2023;55:100756. doi:10.1016/j.spasta.2023.100756.

Mohankumar N. 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.

Moen J, Collins SL. Trophic interactions and plant species richness along a productivity gradient. Oikos. 1996;76:603 -607. doi:10.2307/3546357.

Mino L, Kolp MR, Fox S, Reazin C, Zeglin LH, Jumpponen A. 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.

Mino LA. Soil characteristics and ecosystem-level effects of woody species encroachment in tallgrass prairie. 2016;MS Thesis. Available at: https://shareok.org/handle/11244/54571.

Milne BT, Cohen WB. 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.

Milne BT. Indications of landscape condition at many scales. McKenzie DH, Hyatt DE, McDonald VJ. Ecological Indicators. 1992:893 -895.

Milliken GA, Garrett KA, Travers SE. 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.

Miller RM, Hetrick BAD, Wilson GT. Mycorrhizal fungi affect root stele tissue in grasses. Canadian Journal of Botany. 1997;75:1778 -1784. doi:10.1139/b97-892.

Miller RM, Wilson GT, Johnson NC. Arbuscular Mycorrhizae and Grassland Ecosystems. In: Southwood D Biocomplexity of Plant-Fungal Interactions. Biocomplexity of Plant-Fungal Interactions. Oxford, UK: Wiley-Blackwell; 2012:59 -85. doi:10.1002/9781118314364.ch3.

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