Konza LTER Publications
Intra-annual rainfallvariability and grassland productivity: can the past predictthe future. Plant Ecology. 2006;184:65 -74. doi:10.1007/s11258-005-9052-9.
. Evidence of physiological decoupling from grassland ecosystem drivers by an encroaching woody shrub. PLoS ONE. 2013;8:81630 -. doi:10.1371/journal.pone.0081630.
. Ecophysiological responses of two dominant grasses to altered temperature and precipitation regimes. Acta Oecologia. 2009;35:400 -408. doi:10.1016/j.actao.2009.01.010.
. Comparing the influence of precipitation, fire, and topography on plant productivity in the tallgrass prairie. 2005;3. Available at: http://tiee.ecoed.net/vol/v3/issues/data_sets/konza/abstract.html.
. Challenging the maximum rooting depth paradigm in grasslands and savannas. . Functional Ecology. 2015;29(6):739 - 745. doi:10.1111/1365-2435.12390.
. Life by the drop: Water as a physiological driver of the tallgrass prairie plant community. 2006;PhD Dissertation:1 -148. Available at: https://search.proquest.com/docview/305354527/?pq-origsite=primo.
. Linking water uptake with rooting patterns in grassland species. Oecologia. 2007;153:261 -272. doi:10.1007/s00442-007-0745-8.
. Identifying the water sources consumed by bison: implications for large mammalian grazers worldwide. Ecosphere. 2013;4:23 -. doi:10.1890/ES12-00359.1.
. Climate change in grassland ecosystems: current impacts and potential actions for a sustainable future. In: CLIMATE ACTIONS - LOCAL APPLICATIONS AND PRACTICAL SOLUTIONS. 1st ed. CLIMATE ACTIONS - LOCAL APPLICATIONS AND PRACTICAL SOLUTIONS. CRC; 2022:36. Available at: https://www.taylorfrancis.com/chapters/edit/10.1201/9781003048701-4/climate-change-grassland-ecosystems-jesse-nippert-seton-bachle-rachel-keen-emily-wedel.
. Plant and microbial feedbacks maintain soil nitrogen legacies in burned and unburned grasslandsAbstract. Journal of Ecology. 2024. doi:10.1111/1365-2745.14386.
. Product-inhibition feedbacks, not microbial population level tradeoffs or soil pH, regulate decomposition potential under nutrient eutrophication. Soil Biology and Biochemistry. 2024;189:109247. doi:10.1016/j.soilbio.2023.109247.
. Differential resilience of soil microbes and ecosystem functions following cessation of long-term fertilization. Ecosystems. 2021;24:2042–2060. doi:10.1007/s10021-021-00633-9.
. Ecosystem recovery from chronic fertilization: Biotic mechanisms underpinning soil nitrogen legacies in burned and unburned grasslands. Department of Biology. 2023;PhD Dissertation. Available at: https://krex.k-state.edu/handle/2097/43281.
. The effect of slope on the surface energy balance in a tallgrass prairie. 1990;PhD Dissertation:1 -166.
. Below‐ground biological responses to pyrogenic organic matter and litter inputs in grasslands. . Functional Ecology. 2017;31(1):260 - 269. doi:10.1111/fec.2017.31.issue-110.1111/1365-2435.12693.
. 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.
. Breeding system and sex ratio variation in mulberries. Journal of the Botanical Research Institute of Texas. 2015;9(2):383-395.
. 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.
. Systematics and reproductive biology of Morus L. (Moraceae). 2008;PhD Dissertation. Available at: http://hdl.handle.net/2097/937.
. Terabase metagenome sequencing of grassland soil microbiomes. Microbiology Resource Announcements. 2020;9(32):00718-20. doi:10.1128/MRA.00718-20.
The effects of spatial scale on Konza landscape classification using textural analysis. Landscape Ecology. 1989;2:93 -100. doi:10.1007/BF00137153.
. Space shuttle photography for monitoring global change. 1994:532 -534.
. Growth and transition: Remote sensing and geographic information systems at Kansas State University. Photogrammetric Engineering and Remote Sensing. 1992;58:1159 -1161.
. Intergrating field experiences with remote sensing for understanding vegetation indices. In: Current Trends in Remote Sensing Education. Current Trends in Remote Sensing Education. Hong Kong: Geocarto International Centre; 1989:93 -100.
. Geographic information systems for modeling bison impact on Konza Prairie, Kansas. GIS/LIS Proceedings. 1992;2:618 -623.
. Modelling impact of bison on tallgrass prairie. Transactions Kansas Academy of Science. 1997;100:3 -9.
. Remote sensing for monitoring rangeland management strategies in the Kansas Flint Hills. International Archives of Photogrammetry and Remote Sensing. 1986;26:370 -375.
. 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.
. 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.
. 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.
. 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.
. 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.
. 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 .
. Image textural measures as indices of landscape patterns. In: 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.
. The influence of fire periodicity on habitat structure. In: 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.
. Linking benthic algal biomass to stream substratum topography. Journal of Phycology. 2007;43:449 -460. doi:10.1111/j.1529-8817.2007.00357.x.
. 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.
. 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.
. 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.
Stream denitrification across biomes and its response to anthropogenic nitrate loading. Nature. 2008;452:202 -207. doi:10.1038/nature06686.
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.
Inter-biome comparison of factors controlling stream metabolism. Freshwater Biology. 2001;46:1503 -1517. doi:10.1046/j.1365-2427.2001.00773.x.
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.
. 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.
. 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.
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.
. Drought‐tolerant grassland species are generally more resistant to competition. Journal of Ecology. 2024;112(2):416-426. doi:10.1111/1365-2745.14243.
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.
Water relations in grassland and desert ecosystems exposed to elevated atmospheric CO2. Oecologia. 2004;140:11 -25. doi:10.1007/s00442-004-1550-2.
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