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Lisa Hülsmann
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Tree mortality submodels drive simulated long‐term forest dynamics: assessing 15 models from the stand to global scale
H Bugmann, R Seidl, F Hartig, F Bohn, J Brůna, M Cailleret, L François, ...
Ecosphere 10 (2), e02616, 2019
88*2019
Diverse growth trends and climate responses across Eurasia’s boreal forest
L Hellmann, L Agafonov, FC Ljungqvist, O Churakova, E Düthorn, J Esper, ...
Environmental Research Letters 11 (7), 074021, 2016
732016
How to kill a tree: empirical mortality models for 18 species and their performance in a dynamic forest model
L Hülsmann, H Bugmann, M Cailleret, P Brang
Ecological Applications 28 (2), 522-540, 2018
592018
The effect of subarctic conditions on water resources: initial results and limitations of the SWAT model applied to the Kharaa River Basin in Northern Mongolia
L Hülsmann, T Geyer, C Schweitzer, J Priess, D Karthe
Environmental Earth Sciences 73, 581-592, 2015
392015
Does one model fit all? Patterns of beech mortality in natural forests of three European regions
L Hülsmann, HKM Bugmann, B Commarmot, P Meyer, S Zimmermann, ...
Ecological applications 26 (8), 2465-2479, 2016
352016
How to predict tree death from inventory data – Lessons from a systematic assessment of European tree mortality models
L Hülsmann, H Bugmann, P Brang
Canadian Journal of Forest Research, 2017
342017
New Insights into the Complex Relationship between Weight and Maturity of Burgundy Truffles (Tuber aestivum)
U Büntgen, I Bagi, O Fekete, V Molinier, M Peter, R Splivallo, ...
PLoS One 12 (1), e0170375, 2017
262017
Is Variation in Conspecific Negative Density Dependence Driving Tree Diversity Patterns at Large Scales?
L Hülsmann, RA Chisholm, F Hartig
Trends in Ecology & Evolution 36 (2), 151-163, 2021
222021
Assessing water availability and its drivers in the context of an integrated water resources management (IWRM): a case study from the Kharaa River Basin, Mongolia
D Karthe, M Malsy, S Kopp, S Minderlein, L Hülsmann
GeoÖko 34 (1-2), 5-26, 2013
202013
How future-proof is Sweet chestnut (Castanea sativa) in a global change context?
M Conedera, P Krebs, E Gehring, J Wunder, L Hülsmann, M Abegg, ...
Forest Ecology and Management 494, 119320, 2021
172021
Comment on “Plant diversity increases with the strength of negative density dependence at the global scale”
L Hülsmann, F Hartig
Science 360 (6391), eaar2435, 2018
162018
Bayesian calibration of a growth‐dependent tree mortality model to simulate the dynamics of European temperate forests
M Cailleret, N Bircher, F Hartig, L Hülsmann, H Bugmann
Ecological Applications 30 (1), 2020
152020
How do tree mortality models from combined tree-ring and inventory data affect projections of forest succession?
M Vanoni, M Cailleret, L Hülsmann, H Bugmann, C Bigler
Forest Ecology and Management 433, 606-617, 2019
142019
Horn growth variation and hunting selection of the Alpine ibex
U Büntgen, JD Galván, A Mysterud, PJ Krusic, L Hülsmann, H Jenny, ...
Journal of Animal Ecology 87 (4), 1069-1079, 2018
132018
Climate‐driven, but dynamic and complex? A reconciliation of competing hypotheses for species’ distributions
EL Schultz, L Hülsmann, MD Pillet, F Hartig, DD Breshears, S Record, ...
Ecology Letters, 2022
122022
Bleaching and cold stratification can break dormancy and improve seed germination in Cyperaceae
S Rosbakh, L Hülsmann, I Weinberger, M Bleicher, P Poschlod
Aquatic Botany 158, 103128, 2019
102019
Stand inventory data from the 10 ha forest research plot in Uholka: 15 years of primeval beech forest development
J Stillhard, M Hobi, L Hülsmann, P Brang, C Ginzler, M Kabal, J Nitzsche, ...
Ecology, 2019
92019
Projecting Forest Dynamics Across Europe: Potentials and Pitfalls of Empirical Mortality Algorithms
T Thrippleton, L Hülsmann, M Cailleret, H Bugmann
Ecosystems 23, 188–203, 2020
82020
Tree mortality in Central Europe: Empirically-based modeling using long-term datasets
L Hülsmann
ETH Zürich, 2016
72016
An evaluation of multi-species empirical tree mortality algorithms for dynamic vegetation modelling
T Thrippleton, L Hülsmann, M Cailleret, H Bugmann
Scientific Reports 11 (1), 19845, 2021
62021
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