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Susanne Tautenhahn
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TRY plant trait database–enhanced coverage and open access
J Kattge, G Bönisch, S Díaz, S Lavorel, IC Prentice, P Leadley, ...
Global change biology 26 (1), 119-188, 2020
12422020
Advances in flowering phenology across the Northern Hemisphere are explained by functional traits
P König, S Tautenhahn, JHC Cornelissen, J Kattge, G Bönisch, ...
Global Ecology and Biogeography 27 (3), 310-321, 2018
782018
C., Aleixo, I., Ali, H.,… Wirth, C.(2020). TRY plant trait database–enhanced coverage and open access
J Kattge, G Bönisch, S Díaz, S Lavorel, IC Prentice, P Leadley, ...
Global change biology 26 (1), 119-188, 0
69
On the biogeography of seed mass in Germany–distribution patterns and environmental correlates
S Tautenhahn, H Heilmeier, L Götzenberger, S Klotz, C Wirth, I Kühn
Ecography 31 (4), 457-468, 2008
642008
Inter-and intraspecific variation in stomatal pore area index along elevational gradients and its relation to leaf functional traits
SF Bucher, K Auerswald, S Tautenhahn, A Geiger, J Otto, A Müller, ...
Plant Ecology 217, 229-240, 2016
512016
Dispersal limitation drives successional pathways in Central Siberian forests under current and intensified fire regimes
S Tautenhahn, JW Lichstein, M Jung, J Kattge, SA Bohlman, H Heilmeier, ...
Global Change Biology 22 (6), 2178-2197, 2016
492016
On the relevance of intraspecific trait variability—a synthesis of 56 dry grassland sites across Europe
S Tautenhahn, C Grün-Wenzel, M Jung, S Higgins, C Römermann
Flora 254, 161-172, 2019
252019
Estimating basal area of spruce and fir in post-fire residual stands in Central Siberia using Quickbird, feature selection, and Random Forests
M Jung, S Tautenhahn, C Wirth, J Kattge
Procedia Computer Science 18, 2386-2395, 2013
212013
The global spectrum of plant form and function: enhanced species-level trait dataset
S Díaz, J Kattge, JHC Cornelissen, IJ Wright, S Lavorel, S Dray, B Reu, ...
Scientific Data 9 (1), 755, 2022
182022
News on intra-specific trait variation, species sorting, and optimality theory for functional biogeography and beyond
S Tautenhahn, M Migliavacca, J Kattge
The New Phytologist 228 (1), 6-10, 2020
142020
Beyond distance-invariant survival in inverse recruitment modeling: A case study in Siberian Pinus sylvestris forests
S Tautenhahn, H Heilmeier, M Jung, A Kahl, J Kattge, A Moffat, C Wirth
Ecological Modelling 233, 90-103, 2012
142012
I., Ali, H.,… Wirth, C.(2020). TRY plant trait database–enhanced coverage and open access
J Kattge, G Bönisch, S Díaz, S Lavorel, IC Prentice, P Leadley, ...
Global Change Biology 26 (1), 119-188, 0
10
Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries
VK Kommineni, S Tautenhahn, P Baddam, J Gaikwad, B Wieczorek, ...
Biodiversity Data Journal 9, 2021
82021
Understanding intraspecific trait variability using digital herbarium specimen images
VK Kommineni, J Kattge, J Gaikwad, P Baddam, S Tautenhahn
Biodiversity Information Science and Standards 4, e59061, 2020
32020
Multiple successional pathways after fire in Siberian forests
S Tautenhahn
TU Bergakademie Freiberg Freiberg, 2014
12014
The Role of the CLIP Model in Analysing Herbarium Specimen Images
VK Kommineni, J Kattge, J Gaikwad, S Tautenhahn, B Koenig-ries
Biodiversity Information Science and Standards 7, 2023
2023
The'rtry'R package for preprocessing plant trait data
OHY Lam, S Tautenhahn, G Walther, G Boenisch, P Baddam, J Kattge
EGU General Assembly Conference Abstracts, EGU22-13251, 2022
2022
Extracting Trait Data from Digitized Herbarium Specimens Using Deep Convolutional Networks
S Younis, M Schmidt, C Weiland, S Dressler, S Tautenhahn, J Kattge, ...
Friedrich-Schiller-Universität Jena, 2018
2018
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