Articles | Volume 12, issue 2
Earth Syst. Sci. Data, 12, 1295–1320, 2020
https://doi.org/10.5194/essd-12-1295-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 12, 1295–1320, 2020
https://doi.org/10.5194/essd-12-1295-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
12 Jun 2020
Data description paper
| 12 Jun 2020
The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
Christopher P. O. Reyer et al.
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Cited
17 citations as recorded by crossref.
- Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration I. Fer et al. 10.1111/gcb.15409
- Unravelling resilience mechanisms in forests: role of non-structural carbohydrates in responding to extreme weather events E. D’Andrea et al. 10.1093/treephys/tpab044
- Plant respiration: Controlled by photosynthesis or biomass? A. Collalti et al. 10.1111/gcb.14857
- Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
- Agrometeorological Requirements of Maize Crop Phenology for Sustainable Cropping—A Historical Review for Romania S. Vâtcă et al. 10.3390/su13147719
- Frost and drought: Effects of extreme weather events on stem carbon dynamics in a Mediterranean beech forest E. D'Andrea et al. 10.1111/pce.13858
- r3PG – An r package for simulating forest growth using the 3‐PG process‐based model V. Trotsiuk et al. 10.1111/2041-210X.13474
- Climate data for the European forestry sector: From end-user needs to opportunities for climate resilience C. Fraccaroli et al. 10.1016/j.cliser.2021.100247
- Coupling Effects of Precipitation and Vegetation on Sediment Yield from the Perspective of Spatiotemporal Heterogeneity across the Qingshui River Basin of the Upper Yellow River, China J. Yang et al. 10.3390/f13030396
- Coupled whole‐tree optimality and xylem hydraulics explain dynamic biomass partitioning A. Potkay et al. 10.1111/nph.17242
- Assessing model performance via the most limiting environmental driver in two differently stressed pine stands D. Nadal‐Sala et al. 10.1002/eap.2312
- Combining Remote Sensing and Species Distribution Modelling to Assess Pinus hartwegii Response to Climate Change and Land Use from Izta-Popo National Park, Mexico I. García-Amorena et al. 10.3390/land10101037
- Modeling Ambitions Outpace Observations of Forest Carbon Allocation F. Babst et al. 10.1016/j.tplants.2020.10.002
- Assessing the synergistic value of ecosystem services in European beech forests A. Lessa Derci Augustynczik & R. Yousefpour 10.1016/j.ecoser.2021.101264
- Towards robust statistical inference for complex computer models J. Oberpriller et al. 10.1111/ele.13728
- Description and evaluation of the process-based forest model 4C v2.2 at four European forest sites P. Lasch-Born et al. 10.5194/gmd-13-5311-2020
- Global guidelines for the sustainable use of non-native trees to prevent tree invasions and mitigate their negative impacts G. Brundu et al. 10.3897/neobiota.61.58380
16 citations as recorded by crossref.
- Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration I. Fer et al. 10.1111/gcb.15409
- Unravelling resilience mechanisms in forests: role of non-structural carbohydrates in responding to extreme weather events E. D’Andrea et al. 10.1093/treephys/tpab044
- Plant respiration: Controlled by photosynthesis or biomass? A. Collalti et al. 10.1111/gcb.14857
- Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
- Agrometeorological Requirements of Maize Crop Phenology for Sustainable Cropping—A Historical Review for Romania S. Vâtcă et al. 10.3390/su13147719
- Frost and drought: Effects of extreme weather events on stem carbon dynamics in a Mediterranean beech forest E. D'Andrea et al. 10.1111/pce.13858
- r3PG – An r package for simulating forest growth using the 3‐PG process‐based model V. Trotsiuk et al. 10.1111/2041-210X.13474
- Climate data for the European forestry sector: From end-user needs to opportunities for climate resilience C. Fraccaroli et al. 10.1016/j.cliser.2021.100247
- Coupling Effects of Precipitation and Vegetation on Sediment Yield from the Perspective of Spatiotemporal Heterogeneity across the Qingshui River Basin of the Upper Yellow River, China J. Yang et al. 10.3390/f13030396
- Coupled whole‐tree optimality and xylem hydraulics explain dynamic biomass partitioning A. Potkay et al. 10.1111/nph.17242
- Assessing model performance via the most limiting environmental driver in two differently stressed pine stands D. Nadal‐Sala et al. 10.1002/eap.2312
- Combining Remote Sensing and Species Distribution Modelling to Assess Pinus hartwegii Response to Climate Change and Land Use from Izta-Popo National Park, Mexico I. García-Amorena et al. 10.3390/land10101037
- Modeling Ambitions Outpace Observations of Forest Carbon Allocation F. Babst et al. 10.1016/j.tplants.2020.10.002
- Assessing the synergistic value of ecosystem services in European beech forests A. Lessa Derci Augustynczik & R. Yousefpour 10.1016/j.ecoser.2021.101264
- Towards robust statistical inference for complex computer models J. Oberpriller et al. 10.1111/ele.13728
- Description and evaluation of the process-based forest model 4C v2.2 at four European forest sites P. Lasch-Born et al. 10.5194/gmd-13-5311-2020
Latest update: 27 Jun 2022
Short summary
Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database provides a wide range of empirical data to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale to support systematic model intercomparisons and model development in Europe.
Process-based vegetation models are widely used to predict local and global ecosystem dynamics...
