TY - JOUR
T1 - A mangrove lifecycle ecosystem analysis and forecasting (LEAF) model
AU - Dunlop, Thomas
AU - Felder, Stefan
AU - Glamore, William
PY - 2025
Y1 - 2025
N2 - Mangroves are recognised for the ecosystem services they provide, yet practitioners lack guidance for quantifying these services over time. To overcome this knowledge gap, this study developed a numerical tool, the mangrove Lifecycle Ecosystem Analysis and Forecasting (LEAF) model, that simulates the growth and mortality of mangroves across all lifecycle stages (seedling to senescence). To test model functionality, the LEAF model (version 1.0, dated January 31, 2025) was coupled to Delft3D Flexible Mesh, where individual mangrove size, impacts of extreme events, biomass, and coastal protection parameters were monitored. Cross-shore mangrove distribution was successfully predicted in four estuary typologies over temporal domains of 5–12 years. Sensitivity analyses revealed the timing and duration of the fruiting window, inundation free period, and inundation depth as critical to forest development. Results highlight the need for field data acquisition to target these thresholds, further validate mangrove growth, and expand the model to other species and locations worldwide.
AB - Mangroves are recognised for the ecosystem services they provide, yet practitioners lack guidance for quantifying these services over time. To overcome this knowledge gap, this study developed a numerical tool, the mangrove Lifecycle Ecosystem Analysis and Forecasting (LEAF) model, that simulates the growth and mortality of mangroves across all lifecycle stages (seedling to senescence). To test model functionality, the LEAF model (version 1.0, dated January 31, 2025) was coupled to Delft3D Flexible Mesh, where individual mangrove size, impacts of extreme events, biomass, and coastal protection parameters were monitored. Cross-shore mangrove distribution was successfully predicted in four estuary typologies over temporal domains of 5–12 years. Sensitivity analyses revealed the timing and duration of the fruiting window, inundation free period, and inundation depth as critical to forest development. Results highlight the need for field data acquisition to target these thresholds, further validate mangrove growth, and expand the model to other species and locations worldwide.
KW - Avicennia marina
KW - Biophysical modelling
KW - Design guidance
KW - Forest dynamics
KW - Mangrove
KW - Nature-based solutions
KW - Restoration
UR - http://www.scopus.com/inward/record.url?scp=105010860909&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2025.106619
DO - 10.1016/j.envsoft.2025.106619
M3 - Article
AN - SCOPUS:105010860909
SN - 1364-8152
VL - 193
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 106619
ER -