Advances and limitations of Individual-based models to analyze and predict dynamics of mangrove forests. A review

Berger, U., Rivera-Monroy, V.H., Doyle, T.W., Dahdouh-Guebas, F., Duke, N.C., Fontalvo-Herazo, H., Hildenbrandt, N., Koedam, N., Mehlig, U., Piou, C. and Twilley, R.R. (2008) Advances and limitations of Individual-based models to analyze and predict dynamics of mangrove forests. A review. Aquatic Botany, 89 2: 260-274.


Author Berger, U.
Rivera-Monroy, V.H.
Doyle, T.W.
Dahdouh-Guebas, F.
Duke, N.C.
Fontalvo-Herazo, H.
Hildenbrandt, N.
Koedam, N.
Mehlig, U.
Piou, C.
Twilley, R.R.
Title Advances and limitations of Individual-based models to analyze and predict dynamics of mangrove forests. A review
Journal name Aquatic Botany   Check publisher's open access policy
ISSN 0304-3770
Publication date 2008
Year available 2008
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1016/j.aquabot.2007.12.015
Volume 89
Issue 2
Start page 260
End page 274
Total pages 15
Editor Bowes, G.
Vermaat, J.
Elsevier BV
Place of publication Netherlands
Publisher Elsevier BV
Collection year 2009
Language eng
Subject C1
960503 Ecosystem Assessment and Management of Coastal and Estuarine Environments
060205 Marine and Estuarine Ecology (incl. Marine Ichthyology)
Abstract Mangrove ecosystems are considered vulnerable to climate change as coastal development limits the ecosystem services and adaptations important to their survival. Although they appear rather simple in terms of species diversity, their ecology is complex due to interacting geophysical forces of tides, surface runoff, river and groundwater discharge, waves, and constituents of sediment, nutrients and saltwater. These interactions limit developing a comprehensive framework for science-based sustainable management practices. A suite of models have been developed independently by various academic and government institutions worldwide to understand the dynamics of mangrove ecosystems and to provide ecological forecasting capabilities under different management scenarios and natural disturbance regimes. The models have progressed from statistical tables representing growth and yield to more sophisticated models describing various system components and processes. Among these models are three individual-based models (IBMs) (FORMAN, KIWI, and MANGRO). A comparison of models’ designs reveal differences in the details of process description, particularly, regarding neighbor competition among trees. Each model has thus its specific range of applications. Whereas FORMAN and KIWI are most suitable to address mangrove forest dynamics of stands, MANGRO focuses on landscape dynamics on larger spatial scale. A comparison of the models and a comparison of the models with empirical knowledge further reveal the general needs for further field and validation studies to advance our ecological understanding and management of mangrove wetlands.
Keyword mangroves
modelling
individual-based models
tree growth
regeneration
mortality
disturbance
sea level rise
climate change
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: 2009 Higher Education Research Data Collection
Centre for Marine Studies Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 37 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 39 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 168 Abstract Views  -  Detailed Statistics
Created: Mon, 14 Jul 2008, 16:43:04 EST by Dr Norman C Duke on behalf of Centre for Marine Studies