Konza LTER Publications
Export 987 results:
Author Title [ Type] Year Filters: First Letter Of Last Name is B [Clear All Filters]
Plant community responses to resource availability and heterogeneity during restoration. Oecologia. 2004;139:617 -629. doi:10.1007/s00442-004-1541-3.
. Plant diversity and litter accumulation mediate the loss of foliar endophyte fungal richness following nutrient addition. Ecology. 2021;102(1):e03210. doi:10.1002/ecy.3210.
. Plant diversity predicts beta but not alpha diversity of soil microbes across grasslands worldwide. Ecology Letters. 2015;18:85 -95. doi:10.1111/ele.12381.
Plant diversity predicts beta but not alpha diversity of soil microbes across grasslands worldwide. Ecology Letters. 2015;18:85 -95. doi:10.1111/ele.12381.
Plant diversity predicts beta but not alpha diversity of soil microbes across grasslands worldwide. Ecology Letters. 2015;18:85 -95. doi:10.1111/ele.12381.
Plant legacies and soil microbial community dynamics control soil respiration. Soil Biology and Biochemistry. 2021;160:108350. doi:10.1016/j.soilbio.2021.108350.
. Plant responses to changing rainfall frequency and magnitude. Nature Ecology & Evolution. In Press.
Plant responses to changing rainfall frequency and magnitude. Nature Reviews Earth & Environment. 2024;5(4):276 - 294. doi:10.1038/s43017-024-00534-0.
Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands. Nature Communications. 2015;6:7710 -. doi:10.1038/ncomms8710.
Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands. Nature Communications. 2015;6:7710 -. doi:10.1038/ncomms8710.
Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands. Nature Communications. 2015;6:7710 -. doi:10.1038/ncomms8710.
Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands. Nature Communications. 2015;6:7710 -. doi:10.1038/ncomms8710.
Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands. Nature Communications. 2015;6:7710 -. doi:10.1038/ncomms8710.
Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands. Nature Communications. 2015;6:7710 -. doi:10.1038/ncomms8710.
Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands. Nature Communications. 2015;6:7710 -. doi:10.1038/ncomms8710.
Poor relationships between NEON Airborne Observation Platform data and field‐based vegetation traits at a mesic grassland. Ecology. 2022;103(2):e03590. doi:10.1002/ecy.v103.210.1002/ecy.3590.
Population differences in effects of fish on Physia integra refuge use. American Midland Naturalist. 2003;150:51 -57. doi:10.1674/0003-0031(2003)150[0051:PDIEOF]2.0.CO;2.
. A portable chamber for in situ determination of benthic metabolism. Freshwater Biology. 1998;39:49 -59. doi:10.1046/j.1365-2427.1998.00256.x.
. Prairie voles occur at low density in ungrazed tallgrass prairie in eastern Kansas. The Prairie Naturalist. 1995;27:33 -40.
. Predation, parasitism, and drought counteract the benefits of patch-burn grazing for the reproductive success of grassland songbirds. Ornithological Applications. 2022;124:1–22. doi:10.1093/ornithapp/duab066.
Predicting and understanding ecosystem responses to climate change at continental scales. Frontiers in Ecology and the Environment. 2008;6:273 -280. doi:10.1890/070165.
. Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?. Global Change Biology. 2013;19(12):3677 - 3687. doi:10.1111/gcb.12370.
Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?. Global Change Biology. 2013;19(12):3677 - 3687. doi:10.1111/gcb.12370.
Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?. Global Change Biology. 2013;19(12):3677 - 3687. doi:10.1111/gcb.12370.
Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?. Global Change Biology. 2013;19(12):3677 - 3687. doi:10.1111/gcb.12370.
Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?. Global Change Biology. 2013;19(12):3677 - 3687. doi:10.1111/gcb.12370.
Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?. Global Change Biology. 2013;19(12):3677 - 3687. doi:10.1111/gcb.12370.
Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?. Global Change Biology. 2013;19(12):3677 - 3687. doi:10.1111/gcb.12370.
Predictive models for grazing distribution: a GIS approach. Journal of Range Management. 2000;53:39 -46. doi:10.2307/4003390.
. Is a prescribed fire sufficient to slow the spread of woody plants in an infrequently burned grassland? A case study in tallgrass prairie. Rangeland Ecology & Management. 2021;78:79 - 89. doi:10.1016/j.rama.2021.05.007.
. Prevalence of hantavirus antibodies in natural populations of deer mice in north central Kansas. Prairie Naturalist. 1994;26:209 -216. Available at: https://www.researchgate.net/publication/258031384_Prevalence_of_Hantavirus_antibodies_in_natural_populations_of_deer_mice_in_north-central_Kansas.
. Productivity is a poor predictor of plant species richness. Science. 2011;333:1750 -1753. doi:10.1126/science.1204498.
Productivity is a poor predictor of plant species richness. Science. 2011;333:1750 -1753. doi:10.1126/science.1204498.
Productivity is a poor predictor of plant species richness. Science. 2011;333:1750 -1753. doi:10.1126/science.1204498.
Productivity is a poor predictor of plant species richness. Science. 2011;333:1750 -1753. doi:10.1126/science.1204498.
Productivity is a poor predictor of plant species richness. Science. 2011;333:1750 -1753. doi:10.1126/science.1204498.
Productivity of North American grasslands is increased under future climate scenarios despite rising aridity. Nature Climate Change. 2016;6:710-714. doi:10.1038/nclimate2942.
Productivity of North American grasslands is increased under future climate scenarios despite rising aridity. Nature Climate Change. 2016;6:710-714. doi:10.1038/nclimate2942.
Productivity responses to altered rainfall patterns in a C4-dominated grassland. Oecologia. 2003;137:245 -251. doi:10.1007/s00442-003-1331-3.
. 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.
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.
Rainfall variability, carbon cycling and plant species diversity in a mesic grassland. Science. 2002;298:2202 -2205. doi:10.1126/science.1076347.
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‐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.
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.
. Rank clocks and plant community dynamics. Ecology. 2008;89:3534 -3541. doi:10.1890/07-1646.1.