ISIMIP2a Simulation Data from the Regional Forests Sector

Cite as

Mats Mahnken, Alessio Collalti, Daniela Dalmonech, Carlo Trotta, Volodymyr Trotsiuk, Andrey Lessa Derci Augustynczik, Rasoul Yousefpour, Martin Gutsch, David Cameron, Harald Bugmann, Nica Huber, Timothy Thrippleton, Friedrich Bohn, Daniel Nadal-Sala, Santiago Sabaté, Rüdiger Grote, Annikki Mäkelä, Francesco Minunno, Mikko Peltoniemi, Patrick Vallet, Marek Fabrika, Katarína Merganičová, Iliusi Vega del Valle, Jan Volkholz, Christopher Reyer (2022): ISIMIP2a Simulation Data from the Regional Forests Sector (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.169780

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.169780
Title:
ISIMIP2a Simulation Data from the Regional Forests Sector
Version:
1.0
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for advanced estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a unique opportunity to consider interactions between climate impacts across sectors.

ISIMIP2a is the first simulation round of the second phase of ISIMIP, focusing on historical simulations of climate impacts on agriculture, fisheries, permafrost, biomes, regional and global water and forests. This will serve as a basis for model evaluation and improvement, allowing for improved estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming.

This dataset contains ISIMIP2a simulation data from thirteen local forest models: 3D-CMCC FEM (3D-CMCC-FEM LUE, Collalti et al. 2014, 2016), 3D-CMCC-CNR-BGC (3D-CMCC-FEM BGC, Collalti et al. 2019, Collalti et al. 2020), 3PG (Landsberg et al. 2002), 3PGN-BW (Landsberg et al. 1997, Xenakis et al. 2008), 4C (Reyer et al. 2013, Lasch-Born et al. 2020), BASFOR (van Oijen et al. 2014, Cameron et al. 2013), ForClim (Bugmann et al. 2006), FORMIND (Bohn et al. 2014), GOTILWA+ (Nadal-Sala et al. 2017, Keenan et al. 2010, Gracia et al. 2011), Landscape-DNDC (Haas et al. 2012, Grote et al. 2008, 2010, 2011, Holst et al. 2009, Lindauer et al. 2014), PREBAS (Minunno et al. 2016, Valentine et al. 2005), SALEM (Aussenac et al. 2021) and SIBYLA (Fabrika and Ďurský 2006, Hlásny et al. 2014).

Methods:

The ISIMIP2a local forest outputs are based on simulations from local forest models according to the ISIMIP2a protocol (https://www.isimip.org/protocol/2a/). A more detailed description of the models and model-specific amendments of the protocol are available here: https://www.isimip.org/impactmodels.

Publication date:
July 29, 2022
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset. The icons indicate the different roles of the Data Authorship Contributor Roles Taxonomy DataCRediT, which was initially developed for EnviDat.

Rights

The datasets for this DOI are published under different usage rights (please check the license statement for each dataset):
CC0 1.0 Universal Public Domain Dedication
CC0 1.0 Universal Public Domain Dedication (CC0 1.0)
Attribution 4.0 International
Attribution 4.0 International (CC BY 4.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

Export

Download

API

References

  • Collalti A., Perugini L., Santini M., Chiti T., Nolè A., Matteucci G., Valentini R. et al. A process-based model to simulate growth in forests with complex structure: Evaluation and use of 3D-CMCC Forest Ecosystem Model in a deciduous forest in Central Italy. Ecological Modelling, 272, 362-378, 2014, https://doi.org/10.1016/j.ecolmodel.2013.09.016
  • Collalti, A., Tjoelker, M. G., Hoch, G., Mäkelä, A., Guidolotti, G., Heskel, M., Petit, G., Ryan, M. G., Battipaglia, G., Matteucci, G., & Prentice, I. C. (2020). Plant respiration: Controlled by photosynthesis or biomass? Global Change Biology, 26(3), 1739-1753. https://doi.org/10.1111/gcb.14857
  • Georgios Xenakis, Duncan Ray, Maurizio Mencuccini, Sensitivity and uncertainty analysis from a coupled 3-PG and soil organic matter decomposition model, Ecological Modelling, Volume 219, Issues 1–2, 2008, Pages 1-16, ISSN 0304-3800, https://doi.org/10.1016/j.ecolmodel.2008.07.020.
  • Lasch-Born, P., Suckow, F., Reyer, C. P. O., Gutsch, M., Kollas, C., Badeck, F. W., Bugmann, H. K. M., Grote, R., Fürstenau, C., Lindner, M., & Schaber, J. (2020). Description and evaluation of the process-based forest model 4C v2.2 at four European forest sites. Geosci. Model Dev., 13(11), 5311-5343. https://doi.org/10.5194/gmd-13-5311-2020
  • Cameron, D. R., Van Oijen, M., Werner, C., Butterbach-Bahl, K., Grote, R., Haas, E., Heuvelink, G. B. M., Kiese, R., Kros, J., Kuhnert, M., Leip, A., Reinds, G. J., Reuter, H. I., Schelhaas, M. J., De Vries, W., & Yeluripati, J. (2013). Environmental change impacts on the C- and N-cycle of European forests: a model comparison study. Biogeosciences, 10(3), 1751-1773. https://doi.org/10.5194/bg-10-1751-2013
  • Keenan T, García R, Friend A, Zaehle S, Gracia C, Sabate S et al. Improved understanding of drought controls on seasonal variation in Mediterranean forest canopy CO2 and water fluxes through combined in situ measurements and ecosystem modelling. Biogeosciences, 6, 1423-1444, 2010, https://doi.org/10.5194/bg-6-1423-2009
  • Gracia C, Tello E, Sabaté S, Bellot J et al. GOTILWA: An Integrated Model of Water Dynamics and Forest Growth. Ecological Studies, 163-179, 2011, https://doi.org/10.1007/978-3-642-58618-7_12
  • Grote R, Lehmann E, Brümmer C, Brüggemann N, Szarzynski J, Kunstmann H et al. Modelling and observation of biosphere–atmosphere interactions in natural savannah in Burkina Faso, West Africa. Physics and Chemistry of the Earth, Parts A/B/C, 34, 251-260, 2008, https://doi.org/10.1016/j.pce.2008.05.003
  • Grote R, Korhonen J, Mammarella I et al. Challenges for evaluating process-based models of gas exchange. Forest Systems, 20, 389, 2011, https://doi.org/10.5424/fs/20112003-11084
  • Grote R, Kiese R, Grünwald T, Ourcival J, Granier A et al. Modelling forest carbon balances considering tree mortality and removal. Agricultural and Forest Meteorology, 151, 179-190, 2010, https://doi.org/10.1016/j.agrformet.2010.10.002
  • Holst J, Grote R, Offermann C, Ferrio J, Gessler A, Mayer H, Rennenberg H et al. Water fluxes within beech stands in complex terrain. International Journal of Biometeorology, 54, 23-36, 2009, https://doi.org/10.1007/s00484-009-0248-x
  • Lindauer M, Schmid H, Grote R, Mauder M, Steinbrecher R, Wolpert B et al. Net ecosystem exchange over a non-cleared wind-throw-disturbed upland spruce forest—Measurements and simulations. Agricultural and Forest Meteorology, 197, 219-234, 2014, https://doi.org/10.1016/j.agrformet.2014.07.005
  • Valentine HT, Mäkelä A. Bridging process-based and empirical approaches to modeling tree growth. Tree Physiol. 2005 Jul;25(7):769-79. https://doi.org/10.1093/treephys/25.7.769
  • Hlásny, T., Barcza, Z., Barka, I., Merganičová, K., Sedmák, R., Kern, A., Pajtík, J., Balázs, B., Fabrika, M., & Churkina, G. (2014). Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences. Forest Ecology and Management, 328, 55-68. https://doi.org/10.1016/j.foreco.2014.04.038

Additional documentation

Caveats for datasets for this DOI

Datasets for this DOI

There are 16158 datasets for this DOI. Here we only display the first 100 datasets. You can use the search interface to further restrict your query: https://data.isimip.org/search/query/10.48364/ISIMIP.169780/