Articles | Volume 15, issue 6
https://doi.org/10.5194/bg-15-1795-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-1795-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Mar 2018
Research article |
| 26 Mar 2018
| 26 Mar 2018
Species composition and forest structure explain the temperature sensitivity patterns of productivity in temperate forests
Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, 04318 Leipzig, Germany
Felix May
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
Andreas Huth
Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, 04318 Leipzig, Germany
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
University of Osnabrück, Barbarastr. 12, 49076 Osnabrück, Germany
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Cited
20 citations as recorded by crossref.
- Distinguishing mature and immature trees allows estimating forest carbon uptake from stand structure S. Fischer et al. 10.5194/bg-21-3305-2024
- Impacts of climatic and edaphic factors on the diversity, structure and biomass of species-poor and structurally-complex forests A. Ali et al. 10.1016/j.scitotenv.2019.135719
- Topography and forest diversity facets regulate overstory and understory aboveground biomass in a temperate forest of South Korea J. Chun et al. 10.1016/j.scitotenv.2020.140783
- Identifying compound weather drivers of forest biomass loss with generative deep learning M. Anand et al. 10.1017/eds.2024.2
- Effects of land use and climate on the diversity and population structure in natural stands of Detarium microcarpum Guill. & Perr. (Fabaceae) in Burkina Faso (West Africa) A. Taonda et al. 10.1016/j.gecco.2024.e02909
- Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests S. Ghadban et al. 10.3390/su132111658
- Species Richness, Density, Activity, and Composition of Ground-dwelling Ants in the Humid Forest Zone of Southern Cameroon: Role of Vegetation Cover and Abiotic Factors A. Fotso Kuate et al. 10.1093/ee/nvac092
- Analyzing the effect of silvicultural management on the trade-off between stand structural heterogeneity and productivity over time L. Zeller et al. 10.1007/s10342-020-01350-z
- Advancing Knowledge in Forest Water Use Efficiency Under Global Climate Change Through Scientometric Analysis T. Farooqi et al. 10.3390/f15111893
- Creating virtual forests around the globe and analysing their state space H. Henniger et al. 10.1016/j.ecolmodel.2023.110404
- A new approach to derive productivity of tropical forests using radar remote sensing measurements H. Henniger et al. 10.1098/rsos.231186
- Meta-analysis of leaf area index, canopy height and root depth of three bioenergy crops and their effects on land surface modeling J. Urrego et al. 10.1016/j.agrformet.2021.108444
- A climate-sensitive forest model for assessing impacts of forest management in Europe S. Härkönen et al. 10.1016/j.envsoft.2019.02.009
- Quantifying Regional Surface Energy Responses to Forest Structural Change in Nordic Fennoscandia Y. Kumkar et al. 10.1029/2019JD032092
- Potential distribution and ecological niche of Quercus mongolica under different climate scenarios D. Kaviriri et al. 10.1007/s11258-025-01526-w
- Effect of forest structure on stand productivity in Central European forests depends on developmental stage and tree species diversity L. Zeller & H. Pretzsch 10.1016/j.foreco.2018.12.024
- Expected Impacts of Mixing European Beech with Silver Fir on Regional Air Quality and Radiation Balance B. Bonn et al. 10.3390/cli8100105
- Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
- No Evidence of an Elevation Effect Caused by Temperature Differences on Soil Microbial Properties in a Walnut Fruit Forest in Kyrgyzstan Z. Oskonbaeva et al. 10.1007/s42729-023-01222-6
- Interrelation between Dynamics of Gas Composition and Meteorological Parameters in the Region of Tomsk P. Antokhin et al. 10.1134/S1024856020060044
20 citations as recorded by crossref.
- Distinguishing mature and immature trees allows estimating forest carbon uptake from stand structure S. Fischer et al. 10.5194/bg-21-3305-2024
- Impacts of climatic and edaphic factors on the diversity, structure and biomass of species-poor and structurally-complex forests A. Ali et al. 10.1016/j.scitotenv.2019.135719
- Topography and forest diversity facets regulate overstory and understory aboveground biomass in a temperate forest of South Korea J. Chun et al. 10.1016/j.scitotenv.2020.140783
- Identifying compound weather drivers of forest biomass loss with generative deep learning M. Anand et al. 10.1017/eds.2024.2
- Effects of land use and climate on the diversity and population structure in natural stands of Detarium microcarpum Guill. & Perr. (Fabaceae) in Burkina Faso (West Africa) A. Taonda et al. 10.1016/j.gecco.2024.e02909
- Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests S. Ghadban et al. 10.3390/su132111658
- Species Richness, Density, Activity, and Composition of Ground-dwelling Ants in the Humid Forest Zone of Southern Cameroon: Role of Vegetation Cover and Abiotic Factors A. Fotso Kuate et al. 10.1093/ee/nvac092
- Analyzing the effect of silvicultural management on the trade-off between stand structural heterogeneity and productivity over time L. Zeller et al. 10.1007/s10342-020-01350-z
- Advancing Knowledge in Forest Water Use Efficiency Under Global Climate Change Through Scientometric Analysis T. Farooqi et al. 10.3390/f15111893
- Creating virtual forests around the globe and analysing their state space H. Henniger et al. 10.1016/j.ecolmodel.2023.110404
- A new approach to derive productivity of tropical forests using radar remote sensing measurements H. Henniger et al. 10.1098/rsos.231186
- Meta-analysis of leaf area index, canopy height and root depth of three bioenergy crops and their effects on land surface modeling J. Urrego et al. 10.1016/j.agrformet.2021.108444
- A climate-sensitive forest model for assessing impacts of forest management in Europe S. Härkönen et al. 10.1016/j.envsoft.2019.02.009
- Quantifying Regional Surface Energy Responses to Forest Structural Change in Nordic Fennoscandia Y. Kumkar et al. 10.1029/2019JD032092
- Potential distribution and ecological niche of Quercus mongolica under different climate scenarios D. Kaviriri et al. 10.1007/s11258-025-01526-w
- Effect of forest structure on stand productivity in Central European forests depends on developmental stage and tree species diversity L. Zeller & H. Pretzsch 10.1016/j.foreco.2018.12.024
- Expected Impacts of Mixing European Beech with Silver Fir on Regional Air Quality and Radiation Balance B. Bonn et al. 10.3390/cli8100105
- Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
- No Evidence of an Elevation Effect Caused by Temperature Differences on Soil Microbial Properties in a Walnut Fruit Forest in Kyrgyzstan Z. Oskonbaeva et al. 10.1007/s42729-023-01222-6
- Interrelation between Dynamics of Gas Composition and Meteorological Parameters in the Region of Tomsk P. Antokhin et al. 10.1134/S1024856020060044
Discussed (final revised paper)
Latest update: 02 Jul 2025
Short summary
Rising temperature affect the wood production of forests. However, in some cases, we observe positive and in others negative changes. In this study, we used a new simulation approach to generate ~ 400 000 forest stands, which cover various types of temperate forests (low to high divers; young to old; even aged to uneven aged). We treated each forest with different temperature scenarios and analysed, which forest characteristics triggered the different reaction of forest to temperature change.
Rising temperature affect the wood production of forests. However, in some cases, we observe...
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