Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-905-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-905-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
05 Mar 2020
Model description paper |
| 05 Mar 2020
| 05 Mar 2020
HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 1: Carbon fluxes and tree dimensional growth
Mathieu Jonard
CORRESPONDING AUTHOR
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
Frédéric André
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
François de Coligny
AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, 34000 Montpellier,
France
Louis de Wergifosse
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
Nicolas Beudez
AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, 34000 Montpellier,
France
Hendrik Davi
Ecologie des Forêts Méditerranéennes (URFM), Institut National de la Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Avignon, 84914, France
Gauthier Ligot
Gembloux Agro-Bio Tech, Université de Liège, Gembloux, 5030, Belgium
Quentin Ponette
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
Caroline Vincke
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
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Cited
18 citations as recorded by crossref.
- A harmonized database of European forest simulations under climate change M. Grünig et al. 10.1016/j.dib.2024.110384
- Adaptive forest management improves stand-level resilience of temperate forests under multiple stressors A. Guignabert et al. 10.1016/j.scitotenv.2024.174168
- Effects of climate on the growth of Swiss uneven-aged forests: Combining >100 years of observations with the 3-PG model D. Forrester et al. 10.1016/j.foreco.2021.119271
- Managing mixed stands can mitigate severe climate change impacts on French alpine forests M. Jourdan et al. 10.1007/s10113-021-01805-y
- Simulating tree growth response to climate change in structurally diverse oak and beech forests `. de Wergifosse et al. 10.1016/j.scitotenv.2021.150422
- Radiative transfer modeling in structurally complex stands: towards a better understanding of parametrization F. André et al. 10.1007/s13595-021-01106-8
- Regional climate moderately influences species-mixing effect on tree growth-climate relationships and drought resistance for beech and pine across Europe G. de Streel et al. 10.1016/j.foreco.2022.120317
- Tree growth as affected by stem and crown structure H. Pretzsch 10.1007/s00468-021-02092-0
- Validation of a new spatially explicit process-based model (HETEROFOR) to simulate structurally and compositionally complex forest stands in eastern North America A. Guignabert et al. 10.5194/gmd-16-1661-2023
- With increasing site quality asymmetric competition and mortality reduces Scots pine (Pinus sylvestris L.) stand structuring across Europe H. Pretzsch et al. 10.1016/j.foreco.2022.120365
- Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data X. Zhao et al. 10.34133/plantphenomics.0166
- ECOSENSE - Multi-scale quantification and modelling of spatio-temporal dynamics of ecosystem processes by smart autonomous sensor networks C. Werner et al. 10.3897/rio.10.e129357
- HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 2: Phenology and water cycle L. de Wergifosse et al. 10.5194/gmd-13-1459-2020
- A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al. 10.5194/gmd-16-4017-2023
- CO2 fertilization, transpiration deficit and vegetation period drive the response of mixed broadleaved forests to a changing climate in Wallonia L. de Wergifosse et al. 10.1007/s13595-020-00966-w
- Tracing drought effects from the tree to the stand growth in temperate and Mediterranean forests: insights and consequences for forest ecology and management H. Pretzsch et al. 10.1007/s10342-022-01451-x
- Mortality reduces overyielding in mixed Scots pine and European beech stands along a precipitation gradient in Europe H. Pretzsch et al. 10.1016/j.foreco.2023.121008
- HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 1: Carbon fluxes and tree dimensional growth M. Jonard et al. 10.5194/gmd-13-905-2020
17 citations as recorded by crossref.
- A harmonized database of European forest simulations under climate change M. Grünig et al. 10.1016/j.dib.2024.110384
- Adaptive forest management improves stand-level resilience of temperate forests under multiple stressors A. Guignabert et al. 10.1016/j.scitotenv.2024.174168
- Effects of climate on the growth of Swiss uneven-aged forests: Combining >100 years of observations with the 3-PG model D. Forrester et al. 10.1016/j.foreco.2021.119271
- Managing mixed stands can mitigate severe climate change impacts on French alpine forests M. Jourdan et al. 10.1007/s10113-021-01805-y
- Simulating tree growth response to climate change in structurally diverse oak and beech forests `. de Wergifosse et al. 10.1016/j.scitotenv.2021.150422
- Radiative transfer modeling in structurally complex stands: towards a better understanding of parametrization F. André et al. 10.1007/s13595-021-01106-8
- Regional climate moderately influences species-mixing effect on tree growth-climate relationships and drought resistance for beech and pine across Europe G. de Streel et al. 10.1016/j.foreco.2022.120317
- Tree growth as affected by stem and crown structure H. Pretzsch 10.1007/s00468-021-02092-0
- Validation of a new spatially explicit process-based model (HETEROFOR) to simulate structurally and compositionally complex forest stands in eastern North America A. Guignabert et al. 10.5194/gmd-16-1661-2023
- With increasing site quality asymmetric competition and mortality reduces Scots pine (Pinus sylvestris L.) stand structuring across Europe H. Pretzsch et al. 10.1016/j.foreco.2022.120365
- Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data X. Zhao et al. 10.34133/plantphenomics.0166
- ECOSENSE - Multi-scale quantification and modelling of spatio-temporal dynamics of ecosystem processes by smart autonomous sensor networks C. Werner et al. 10.3897/rio.10.e129357
- HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 2: Phenology and water cycle L. de Wergifosse et al. 10.5194/gmd-13-1459-2020
- A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al. 10.5194/gmd-16-4017-2023
- CO2 fertilization, transpiration deficit and vegetation period drive the response of mixed broadleaved forests to a changing climate in Wallonia L. de Wergifosse et al. 10.1007/s13595-020-00966-w
- Tracing drought effects from the tree to the stand growth in temperate and Mediterranean forests: insights and consequences for forest ecology and management H. Pretzsch et al. 10.1007/s10342-022-01451-x
- Mortality reduces overyielding in mixed Scots pine and European beech stands along a precipitation gradient in Europe H. Pretzsch et al. 10.1016/j.foreco.2023.121008
Latest update: 01 Nov 2024
Short summary
To explore the forest response to new forestry practices under a changing environment, one needs models combining a process-based approach with a detailed spatial representation, which is very rare. We decided to develop our own model according to a spatially explicit approach describing individual tree growth based on resource sharing (light, water and nutrients). A first evaluation showed that HETEROFOR predicts well individual radial growth and is able to reproduce size–growth relationships.
To explore the forest response to new forestry practices under a changing environment, one needs...
