Adapting an ecological mangrove model to simulate trajectories in restoration ecology

Citation
Rr. Twilley et al., Adapting an ecological mangrove model to simulate trajectories in restoration ecology, MAR POLL B, 37(8-12), 1998, pp. 404-419
Citations number
110
Categorie Soggetti
Aquatic Sciences
Journal title
MARINE POLLUTION BULLETIN
ISSN journal
0025326X → ACNP
Volume
37
Issue
8-12
Year of publication
1998
Pages
404 - 419
Database
ISI
SICI code
0025-326X(1998)37:8-12<404:AAEMMT>2.0.ZU;2-B
Abstract
We used an ecological model to simulate the trajectories of mangrove attrib utes according to different restoration criteria at geographically specific conditions and at decadal time scales. This model can contribute to the de sign and implementation of restoration projects, and also be used to verify key mechanisms controlling ecosystem attributes during the recovery period . An existing gap model of mangrove wetlands, FORMAN, was used to simulate restoration trajectories in one of the largest estuary rehabilitation proje cts (128 000 ha) in South America, Cienaga Grande de Santa Marta, Colombia (CGSM). Recovery of a disturbed mangrove forest based on simulations of bas al area following reductions of salinity to 40 g/kg within 2 yr or 10 yr ti me periods suggests that in both cases dominance would reach about 75% of t hat in the reference site (80 m(2)/ha) in 40 yr, Both forests are > 80% dom inated by Avicennia, and Laguncularia has greater basal area than Rhizophor a in the remaining structure. Simulations of forest recovery with a 25 yr t arget for salinity reduction show that only about 50% one the basal area in the reference site is recovered after 40 yr, After 40 yr of recovery, both the 2 and 10 yr salinity targets produce higher basal area and different p atterns of community composition (Laguncularia becomes the dominant species ) under enhanced recruitment (planting program) than observed under more na tural recruitment. Ecological models can be used to establish trajectories of mangrove response to a variety of initial site conditions at spatially e xplicit locations that can improve engineering designs, project operation, and more clearly define monitoring programs and natural resource valuation. Modelling techniques can be used to identify the appropriate spatial and t emporal scales of problems associated with mangrove restoration projects th at could improve our ability to conserve and manage one of the most valuabl e forested wetlands in the tropical coastal zone. (C) 1999 Elsevier Science Ltd. All rights reserved.