Dr. Gudrun Carl


Dr. Gudrun Carl
Research Scientist

Department of Community Ecology
Helmholtz Centre
for Environmental Research - UFZ
Theodor-Lieser-Str. 4
06120 Halle, Germany

Phone: +49 345 5585 322
Fax: +49 345 5585 329

Gudrun Carl

Research interests

Development and application of methods for spatial and temporal analysis of environmental data

Spatial statistics, time series analysis, wavelet analysis.



Recent publications

Carl G, Kühn I (2017)
Spind: a package for computing spatially corrected accuracy measures.
Ecography 40: 675-682. epdf

Carl G, Doktor D, Schweiger O, Kühn I (2016)
Assessing relative variable importance across different spatial scales: a two-dimensional wavelet analysis.
Journal of Biogeography 43: 2502–2512. DOI:10.1111/jbi.12781

Carl G, Doktor D, Koslowsky D, Kühn I (2013)
Phase difference analysis of temperature and vegetation phenology for beech forest: a wavelet approach.
Stochastic Environmental Research and Risk Assessment 27: 1221–1230.  Reprint

Dormann CF, Elith J, Bacher S, Buchmann C, Carl G, Carré G, García Marquéz JR, Gruber B, Lafourcade B, Münkemüller T, Osborne PE, Reineking B, Schröder B, Skidmore AK, Zurell D, Lautenbach S (2013)
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance.
Ecography 36: 27-46.

Carl G, Kühn I (2012)
Autocorrelation Removal for Spatial Statistical Modelling and its Application to Biogeographical Data.
In: del Valle M, Muñoz Guerrero R and Gutiérrez Salgado JM (eds)
Wavelets: Classification, Theory and Applications
Series: Mathematics Research Developments, Nova Science Publishers, Hauppauge, New York, p. 67-95. Abstract

Carl G, Kühn I (2010)
A wavelet-based extension of generalized linear models to remove the effect of spatial autocorrelation.
Geographical Analysis 42: 323-337. Abstract

Carl G, Dormann CF and Kühn I (2008)
A wavelet-based method to remove spatial autocorrelation in the analysis of species distributional data.
Web Ecology 8: 22-29.

Carl G, Kühn I (2008)
Analyzing spatial ecological data using linear regression and wavelet analysis.
Stochastic Environmental Research and Risk Assessment 22: 315-324.

Kissling WD, Carl G (2008)
Spatial autocorrelation and the selection of simultaneous autoregressive models.
Global Ecology and Biogeography 17(1): 59-71.

Dormann CF, McPherson JM, Araújo MB, Bivand R, Bolliger J, Carl G, Davies RG, Hirzel A, Jetz W, Kissling WD, Kühn I, Ohlemüller R, Peres-Neto PR, Reineking B, Schröder B, Schurr FM, and Wilson R (2007)
Methods to account for spatial autocorrelation in the analysis of species distributional data: a review.
Ecography 30(5): 609-628.

Carl G, Kühn I (2007)
Analyzing Spatial Autocorrelation in Species Distributions using Gaussian and Logit Models.
Ecological Modelling 207(2-4): 159-170.

Curriculum vitae


Study of physics at the University of Halle

PhD in Solid State Physics at the Institute of Theoretical Physics

1989 - 1993

Dept. of Mathematics, Institute of Technology, Merseburg

1993 - 2000

Dept. of Mathematics, University of Halle

2000 - 2004

Associate Lecturer, Univ. of Applied Sciences, Merseburg

2004 - 2009

Helmholtz Centre for Environmental Research

since 2010

Lecturer, Technical College Leuna Merseburg

2011 - 2017

Helmholtz Centre for Environmental Research