Articles | Volume 19, issue 6
https://doi.org/10.5194/bg-19-1813-2022
© Author(s) 2022. 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-19-1813-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Mar 2022
Research article |
| 31 Mar 2022
| 31 Mar 2022
Predicting mangrove forest dynamics across a soil salinity gradient using an individual-based vegetation model linked with plant hydraulics
Masaya Yoshikai
CORRESPONDING AUTHOR
School of Environment and Society, Tokyo Institute of Technology, Tokyo, 152-8552, Japan
Takashi Nakamura
School of Environment and Society, Tokyo Institute of Technology, Tokyo, 152-8552, Japan
Rempei Suwa
Forestry Division, Japan International Research Center for Agricultural Sciences (JIRCAS), Ibaraki, 305-8686, Japan
Sahadev Sharma
Institute of Ocean and Earth Sciences, Universiti Malaya, Kuala Lumpur, 50603, Malaysia
Rene Rollon
Institute of Environmental Science and Meteorology, College of Science, University of the Philippines, Diliman, Quezon City, 1001, Philippines
Jun Yasuoka
Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, 152-8552, Japan
Ryohei Egawa
Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, 152-8552, Japan
Kazuo Nadaoka
School of Environment and Society, Tokyo Institute of Technology, Tokyo, 152-8552, Japan
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Cited
12 citations as recorded by crossref.
- Assessing species composition and structural attributes across different habitats to evaluate changes and management effectiveness of protected mangroves R. Djamaluddin et al. 10.1016/j.foreco.2024.121857
- Total ecosystem blue carbon stocks and sequestration potential along a naturally regenerated mangrove forest chronosequence M. Safwan Azman et al. 10.1016/j.foreco.2022.120611
- Seasonal groundwater salinity dynamics in the mangrove supratidal zones based on shallow groundwater salinity and electrical resistivity imaging data J. Prihantono et al. 10.1007/s11273-023-09926-3
- Representing the impact of Rhizophora mangroves on flow in a hydrodynamic model (COAWST_rh v1.0): the importance of three-dimensional root system structures M. Yoshikai et al. 10.5194/gmd-16-5847-2023
- Total Ecosystem Blue Carbon Stocks and Sequestration Potential Along a Naturally Regenerated Mangrove Forest Chronosequence s. sharma et al. 10.2139/ssrn.4179226
- Are Existing Modeling Tools Useful to Evaluate Outcomes in Mangrove Restoration and Rehabilitation Projects? A Minireview V. Rivera-Monroy et al. 10.3390/f13101638
- Joint analysis of transcriptome and metabolome revealed the difference in carbohydrate metabolism between super hybrid rice and conventional rice under salt stress H. Zhou et al. 10.1016/j.stress.2023.100251
- Modeling the mechanisms of conifer mortality under seawater exposure J. Ding et al. 10.1111/nph.19076
- Effects of climate change on marine coastal ecosystems – A review to guide research and management E. Trégarot et al. 10.1016/j.biocon.2023.110394
- Enhancing nutrient absorption through the influence of mangrove ecosystem on flow rate and retention time in salt marshes S. Partani et al. 10.1016/j.scitotenv.2024.171518
- Field Measurement and Prediction of Drag in a Planted Rhizophora Mangrove Forest M. Yoshikai et al. 10.1029/2021JC018320
- Evaluating the Losses and Recovery of GPP in the Subtropical Mangrove Forest Directly Attacked by Tropical Cyclone: Case Study in Hainan Island L. Wu et al. 10.3390/rs15082094
12 citations as recorded by crossref.
- Assessing species composition and structural attributes across different habitats to evaluate changes and management effectiveness of protected mangroves R. Djamaluddin et al. 10.1016/j.foreco.2024.121857
- Total ecosystem blue carbon stocks and sequestration potential along a naturally regenerated mangrove forest chronosequence M. Safwan Azman et al. 10.1016/j.foreco.2022.120611
- Seasonal groundwater salinity dynamics in the mangrove supratidal zones based on shallow groundwater salinity and electrical resistivity imaging data J. Prihantono et al. 10.1007/s11273-023-09926-3
- Representing the impact of Rhizophora mangroves on flow in a hydrodynamic model (COAWST_rh v1.0): the importance of three-dimensional root system structures M. Yoshikai et al. 10.5194/gmd-16-5847-2023
- Total Ecosystem Blue Carbon Stocks and Sequestration Potential Along a Naturally Regenerated Mangrove Forest Chronosequence s. sharma et al. 10.2139/ssrn.4179226
- Are Existing Modeling Tools Useful to Evaluate Outcomes in Mangrove Restoration and Rehabilitation Projects? A Minireview V. Rivera-Monroy et al. 10.3390/f13101638
- Joint analysis of transcriptome and metabolome revealed the difference in carbohydrate metabolism between super hybrid rice and conventional rice under salt stress H. Zhou et al. 10.1016/j.stress.2023.100251
- Modeling the mechanisms of conifer mortality under seawater exposure J. Ding et al. 10.1111/nph.19076
- Effects of climate change on marine coastal ecosystems – A review to guide research and management E. Trégarot et al. 10.1016/j.biocon.2023.110394
- Enhancing nutrient absorption through the influence of mangrove ecosystem on flow rate and retention time in salt marshes S. Partani et al. 10.1016/j.scitotenv.2024.171518
- Field Measurement and Prediction of Drag in a Planted Rhizophora Mangrove Forest M. Yoshikai et al. 10.1029/2021JC018320
- Evaluating the Losses and Recovery of GPP in the Subtropical Mangrove Forest Directly Attacked by Tropical Cyclone: Case Study in Hainan Island L. Wu et al. 10.3390/rs15082094
Latest update: 10 May 2024
Short summary
This study presents a new individual-based vegetation model to investigate salinity control on mangrove productivity. The model incorporates plant hydraulics and tree competition and predicts unique and complex patterns of mangrove forest structures that vary across soil salinity gradients. The presented model does not hold an empirical expression of salinity influence on productivity and thus may provide a better understanding of mangrove forest dynamics in future climate change.
This study presents a new individual-based vegetation model to investigate salinity control on...
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