Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-26190
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dc.contributor.authorSpeich, Matthias J.R.-
dc.contributor.authorZappa, Massimiliano-
dc.contributor.authorScherstjanoi, Marc-
dc.contributor.authorLischke, Heike-
dc.date.accessioned2022-11-25T10:43:29Z-
dc.date.available2022-11-25T10:43:29Z-
dc.date.issued2020-
dc.identifier.issn1991-9603de_CH
dc.identifier.issn1991-959Xde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26190-
dc.description.abstractWe present FORHYCS (FORests and HYdrology under Climate Change in Switzerland), a distributed ecohydrological model to assess the impact of climate change on water resources and forest dynamics. FORHYCS is based on the coupling of the hydrological model PREVAH and the forest landscape model TreeMig. In a coupled simulation, both original models are executed simultaneously and exchange information through shared variables. The simulated canopy structure is summarized by the leaf area index (LAI), which affects local water balance calculations. On the other hand, an annual drought index is obtained from daily simulated potential and actual transpiration. This drought index affects tree growth and mortality, as well as a species-specific tree height limitation. The effective rooting depth is simulated as a function of climate, soil, and simulated above-ground vegetation structure. Other interface variables include stomatal resistance and leaf phenology. Case study simulations with the model were performed in the Navizence catchment in the Swiss Central Alps, with a sharp elevational gradient and climatic conditions ranging from dry inner-alpine to high alpine. In a first experiment, the model was run for 500 years with different configurations. The results were compared against observations of vegetation properties from national forest inventories, remotely sensed LAI, and high-resolution canopy height maps from stereo aerial images. Two new metrics are proposed for a quantitative comparison of observed and simulated canopy structure. In a second experiment, the model was run for 130 years under climate change scenarios using both idealized temperature and precipitation change and meteorological forcing from downscaled GCM-RCM model chains. The first experiment showed that model configuration greatly influences simulated vegetation structure. In particular, simulations where height limitation was dependent on environmental stress showed a much better fit to canopy height observations. Spatial patterns of simulated LAI were more realistic than for uncoupled simulations of the forest landscape model, although some model deficiencies are still evident. Under idealized climate change scenarios, the effect of the coupling varied regionally, with the greatest effects on simulated streamflow (up to 60 mm yr−1 difference with respect to a simulation with static vegetation parameters) seen at the valley bottom and in regions currently above the treeline. This case study shows the importance of coupling hydrology and vegetation dynamics to simulate the impact of climate change on ecosystems. Nevertheless, it also highlights some challenges of ecohydrological modeling, such as the need to realistically simulate the plant response to increased CO2 concentrations and process uncertainty regarding future land cover changes.de_CH
dc.language.isoende_CH
dc.publisherCopernicusde_CH
dc.relation.ispartofGeoscientific Model Developmentde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectClimate Changede_CH
dc.subjectModelde_CH
dc.subjectForestde_CH
dc.subjectHydrologyde_CH
dc.subjectSwitzerlandde_CH
dc.subject.ddc551: Geologie und Hydrologiede_CH
dc.titleFORests and HYdrology under climate change in Switzerland v1.0 : a spatially distributed model combining hydrology and forest dynamicsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Nachhaltige Entwicklung (INE)de_CH
dc.identifier.doi10.5194/gmd-13-537-2020de_CH
dc.identifier.doi10.21256/zhaw-26190-
zhaw.funding.euNode_CH
zhaw.issue2de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end564de_CH
zhaw.pages.start537de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume13de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.funding.snf153544de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Speich, M. J. R., Zappa, M., Scherstjanoi, M., & Lischke, H. (2020). FORests and HYdrology under climate change in Switzerland v1.0 : a spatially distributed model combining hydrology and forest dynamics. Geoscientific Model Development, 13(2), 537–564. https://doi.org/10.5194/gmd-13-537-2020
Speich, M.J.R. et al. (2020) ‘FORests and HYdrology under climate change in Switzerland v1.0 : a spatially distributed model combining hydrology and forest dynamics’, Geoscientific Model Development, 13(2), pp. 537–564. Available at: https://doi.org/10.5194/gmd-13-537-2020.
M. J. R. Speich, M. Zappa, M. Scherstjanoi, and H. Lischke, “FORests and HYdrology under climate change in Switzerland v1.0 : a spatially distributed model combining hydrology and forest dynamics,” Geoscientific Model Development, vol. 13, no. 2, pp. 537–564, 2020, doi: 10.5194/gmd-13-537-2020.
SPEICH, Matthias J.R., Massimiliano ZAPPA, Marc SCHERSTJANOI und Heike LISCHKE, 2020. FORests and HYdrology under climate change in Switzerland v1.0 : a spatially distributed model combining hydrology and forest dynamics. Geoscientific Model Development. 2020. Bd. 13, Nr. 2, S. 537–564. DOI 10.5194/gmd-13-537-2020
Speich, Matthias J.R., Massimiliano Zappa, Marc Scherstjanoi, and Heike Lischke. 2020. “FORests and HYdrology under Climate Change in Switzerland V1.0 : A Spatially Distributed Model Combining Hydrology and Forest Dynamics.” Geoscientific Model Development 13 (2): 537–64. https://doi.org/10.5194/gmd-13-537-2020.
Speich, Matthias J. R., et al. “FORests and HYdrology under Climate Change in Switzerland V1.0 : A Spatially Distributed Model Combining Hydrology and Forest Dynamics.” Geoscientific Model Development, vol. 13, no. 2, 2020, pp. 537–64, https://doi.org/10.5194/gmd-13-537-2020.


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