Ernst Linder

Phone: (603) 862-2687
Office: Mathematics & Statistics, Kingsbury Hall Rm N321B, Durham, NH 03824
Ernst Linder

I am a senior statistician with over 30 years of experience in data analysis. My specialties are environmental applications and spatial statistics. I rely heavily on solid theory and efficient computation. I am experienced coding and using the R software. I have been instrumental in numerous interdisciplinary collaborations of a wide variety in fields such as engineering, chemistry, earth sciences, hydrology, marine biology and ecology, environmental sciences, climate change, global ecology, bio-geochemistry, economics.


  • Ph.D., Statistics, Pennsylvania State University
  • M.S., Mathematics, Union College - New York
  • Diploma, Mathematics, University of Zurich

Research Interests

  • Climate change
  • Environmental Statistics
  • Forecasting - Trends/Statistical Analysis
  • Nonlinear Statistical Models
  • Spatial Statistics

Courses Taught

  • MATH 696: Independent Study
  • MATH 736: Adv Stat Methods for Research
  • MATH 736/836: Adv Stat Methods for Research
  • MATH 743/843: Time Series Analysis
  • MATH 759: Introduction to the R Software
  • MATH 759/859: Introduction to the R Software
  • MATH 796: Top/Bayesian & Comp Stats
  • MATH 835: Statistical Mthds for Research
  • MATH 836: Adv Stat Methods for Research
  • MATH 859: Introduction to the R software
  • MATH 896: Top/ Statistical Consulting
  • MATH 941: Bayesian Statistics
  • MATH 944: Spatial Statistics
  • MATH 979: Top/R&R Data Anlys/Prog/Publ
  • MATH 997: Statistics Seminar

Selected Publications

Torbick, N., Ziniti, B., Stommel, E., Linder, E., Andrew, A., Caller, T., . . . Shi, X. (2018). Assessing Cyanobacterial Harmful Algal Blooms as Risk Factors for Amyotrophic Lateral Sclerosis (vol 33, pg 199, 2017). NEUROTOXICITY RESEARCH, 33(1), 227. doi:10.1007/s12640-017-9807-9

Torbick, N., Ziniti, B., Stommel, E., Linder, E., Andrew, A., Caller, T., . . . Shi, X. (2018). Assessing Cyanobacterial Harmful Algal Blooms as Risk Factors for Amyotrophic Lateral Sclerosis. NEUROTOXICITY RESEARCH, 33(1), 199-212. doi:10.1007/s12640-017-9740-y

Hobbie, E. A., Schubert, B. A., Craine, J. M., Linder, E., & Pringle, A. (2017). Increased C-3 productivity in Midwestern lawns since 1982 revealed by carbon isotopes in Amanita thiersii. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 122(2), 280-288. doi:10.1002/2016JG003579

Torbick, N., Ziniti, B., Wu, S., & Linder, E. (2016). Spatiotemporal Lake Skin Summer Temperature Trends in the Northeast United States. EARTH INTERACTIONS, 20, 1-21. doi:10.1175/EI-D-16-0015.1

Laflamme, E. M., Linder, E., & Pan, Y. (2016). Statistical downscaling of regional climate model output to achieve projections of precipitation extremes. WEATHER AND CLIMATE EXTREMES, 12, 15-23. doi:10.1016/j.wace.2015.12.001

Wollheim, W. M., Vorosmarty, C. J., Bouwman, A. F., Green, P., Harrison, J., Linder, E., . . . Syvitski, J. P. M. (2008). Global N removal by freshwater aquatic systems using a spatially distributed, within-basin approach. GLOBAL BIOGEOCHEMICAL CYCLES, 22(2). doi:10.1029/2007GB002963

Braswell, B. H., Sacks, W. J., Linder, E., & Schimel, D. S. (2005). Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations. GLOBAL CHANGE BIOLOGY, 11(2), 335-355. doi:10.1111/j.1365-2486.2005.00897.x

Bubier, J., Crill, P., Mosedale, A., Frolking, S., & Linder, E. (2003). Peatland responses to varying interannual moisture conditions as measured by automatic CO2 chambers. GLOBAL BIOGEOCHEMICAL CYCLES, 17(2). doi:10.1029/2002GB001946

Weitz, A. M., Linder, E., Frolking, S., Crill, P. M., & Keller, M. (2001). N(2)O emissions from humid tropical agricultural soils: effects of soil moisture, texture and nitrogen availability. SOIL BIOLOGY & BIOCHEMISTRY, 33(7-8), 1077-1093. doi:10.1016/S0038-0717(01)00013-X

Braswell, B. H., Schimel, D. S., Linder, E., & Moore, B. (1997). The response of global terrestrial ecosystems to interannual temperature variability. SCIENCE, 278(5339), 870-872. doi:10.1126/science.278.5339.870

Most Cited Publications