S
Stephan A. Pietsch
Researcher at International Institute for Applied Systems Analysis
Publications - 44
Citations - 895
Stephan A. Pietsch is an academic researcher from International Institute for Applied Systems Analysis. The author has contributed to research in topics: Forest ecology & Forest management. The author has an hindex of 14, co-authored 41 publications receiving 681 citations. Previous affiliations of Stephan A. Pietsch include Life Sciences Institute & University of Natural Resources and Life Sciences, Vienna.
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BGC-model parameters for tree species growing in central European forests
TL;DR: In this paper, the authors introduce species-specific parameters for one such model, Biome-BGC, for the following tree species as observed in central European forests: Fagus sylvatica, Quercus robur/petraea, Larix decidua, Pinus sylvestris, Picea abies growing at low and high elevations.
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Validating daily climate interpolations over complex terrain in Austria
Hubert Hasenauer,Katarína Merganičová,Richard Petritsch,Stephan A. Pietsch,Peter E. Thornton +4 more
TL;DR: In this article, the authors interpolate and validate daily climate interpolations using DAYMET, which interpolates on a systematic grid daily minimum and maximum temperature and precipitation from surrounding stations based on the principles of a weighted Gaussian filter.
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Organizing principles for vegetation dynamics.
Oskar Franklin,Oskar Franklin,Sandy P. Harrison,Roderick C. Dewar,Roderick C. Dewar,Caroline E. Farrior,Åke Brännström,Åke Brännström,Ulf Dieckmann,Ulf Dieckmann,Stephan A. Pietsch,Daniel S. Falster,Wolfgang Cramer,Michel Loreau,Han Wang,Annikki Mäkelä,Karin T. Rebel,Ehud Meron,Stanislaus J. Schymanski,Elena Rovenskaya,Benjamin D. Stocker,Sönke Zaehle,Stefano Manzoni,Marcel van Oijen,Ian J. Wright,Philippe Ciais,Peter M. van Bodegom,Josep Peñuelas,Florian Hofhansl,César Terrer,Nadejda A. Soudzilovskaia,Guy F. Midgley,I. Colin Prentice,I. Colin Prentice,I. Colin Prentice +34 more
TL;DR: The power of natural selection-based optimality principles to predict photosynthetic and carbon allocation responses to multiple environmental drivers, as well as how individual plasticity leads to the predictable self-organization of forest canopies are demonstrated.
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Evaluating the self-initialization procedure for large-scale ecosystem models
TL;DR: In this paper, the authors evaluate the self-initialization procedure of a large-scale BGC-model for biological realism by comparing model predictions with observations from the central European virgin forest reserve Rothwald, a category I IUCN wilderness area.
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Modeling effects of hydrological changes on the carbon and nitrogen balance of oak in floodplains.
TL;DR: The applicability of the ecosystem model BIOME-BGC to floodplain ecosystems is extended to study effects of hydrological changes on Quercus robur L. stands, suggesting a stabilization of thecosystem two decades after implementation of water management measures.