00656nas a2200169   4500008004100000245010200041210006900143260003800212300001300250100001700263700001200280700001700292700001800309700001700327700001600344856012600360       2003                        eng d00aClimate variability in tallgrass prairie at multiple timescales: Konza Prairie Biological Station0 aClimate variability in tallgrass prairie at multiple timescales   aNew YorkbOxford University Press  a411 -4241 aGoodin, D.G.1 aFay, P.1 aMcHugh, M.J.1 aGreenland, D.1 aGoodin, D.G.1 aSmith, R.C.  uhttp://knz.lternet.edu/content/climate-variability-tallgrass-prairie-multiple-timescales-konza-prairie-biological-station00570nas a2200157   4500008004100000245007100041210006900112260003800181300001300219100001700232700001700249700001800266700001700284700001600301856009500317       2003                        eng d00aInterdecadal-scale variability: An assessment of LTER climate data0 aInterdecadalscale variability An assessment of LTER climate data  aNew YorkbOxford University Press  a213 -2251 aMcHugh, M.J.1 aGoodin, D.G.1 aGreenland, D.1 aGoodin, D.G.1 aSmith, R.C.  uhttp://knz.lternet.edu/content/interdecadal-scale-variability-assessment-lter-climate-data02629nas a2200145   4500008004100000245010000041210006900141260003600210300001300246520210700259100001702366700001402383700001702397856006902414       2002                        eng d00aClimate variability at multiple time scales: implications for productivity in tallgrass prairie0 aClimate variability at multiple time scales implications for pro  bAmerican Meteorological Society  a312 -3163 aClimate is a fundamental driver of biomass productivity in ecosystems. This is especially true for grassland systems, which display greater variability in net primary productivity in response to climate fluctuation than forest, desert, or arctic/alpine systems. Although basic climate/productivity relationships have been studied over shorter time scales, the effect of longer-term climate processes such as El Niño/Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), solar activity cycles, and other quasiperiodic climatic patterns on grassland systems is largely unknown, due to the lack of long term productivity data sets to evaluate against climate data. Here, we examine how variability in temperature and rainfall at a tallgrass prairie site (Konza Prairie Biological Station, KPBS) is related to various teleconnection indices and how these indices may relate to patterns of above ground net primary productivity (ANPP). We use two data sets, a 20 year ANPP data set collected at KPBS and a 108 year precipitation and temperature record (1891-1999) from nearby Manhattan, KS. Patterns of variation are analyzed using period-spectrum analysis and correlation of climate variables to ANPP. Results show that at shorter time scales (one year or less), productivity is influenced by magnitude of precipitation and temperature, but also by the seasonal timing of precipitation events and heat accumulation. Long-term precipitation was influenced on the decadal time scale by the NAO and North Pacific (NP) circulation patterns. Long-term temperature patterns showed strongest periodicities at intradecadal time scales (" 5- 8 years), and correlated most strongly with ENSO indices. Although speculative, our results suggest that the influence of atmospheric teleconnection patterns (and their resulting weather patterns) on tallgrass productivity is indirect. Teleconnection patterns interact to influence both the magnitude and seasonal distribution of temperature and precipitation. The interplay of these variations in weather appears to exert significant control over tallgrass ANPP.1 aGoodin, D.G.1 aFay, P.A.1 aMcHugh, M.J.  uhttps://ams.confex.com/ams/15BioAero/techprogram/paper_48840.htm