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Testing mangrove forest structure development and various forest management options in Gazi (Kenya) by combining KiWi individual-based modelling with >20 years of field data
Khan, M.N.I.; Koedam, N.; Berger, U.; Bosire, J.O.; Kairo, J.G.; Dahdouh-Guebas, F. (2012). Testing mangrove forest structure development and various forest management options in Gazi (Kenya) by combining KiWi individual-based modelling with >20 years of field data, in: Dahdouh-Guebas, F. et al. (Ed.) Proceedings of the International Conference 'Meeting on Mangrove ecology, functioning and Management - MMM3', Galle, Sri Lanka, 2-6 July 2012. VLIZ Special Publication, 57: pp. 89
In: Dahdouh-Guebas, F.; Satyanarayana, B. (Ed.) (2012). Proceedings of the International Conference 'Meeting on Mangrove ecology, functioning and Management - MMM3', Galle, Sri Lanka, 2-6 July 2012. VLIZ Special Publication, 57. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISBN 978-90-817451-6-1. xxxi, 192 pp., meer
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950, meer
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Documenttype: Samenvatting
Trefwoorden
    Forest management
    ISW, Kenya, Gazi Bay
    Prediction
    Restoration
    Time series
    Gazi Bay [Marine Regions]
    Marien/Kust
Author keywords
    Monospecific; IBM; ABM
Auteurs  Top 
  • Khan, M.N.I., meer
  • Koedam, N., meer
  • Berger, U.
  • Bosire, J.O., meer
  • Kairo, J.G., meer
  • Dahdouh-Guebas, F., meer
Abstract
    Recurrent data on mangrove stand development are rare because long-term monitoring data is generally lacking. However, in Gazi (Kenya), several plantations of Rhizophora mucronata, Ceriops tagal, Avicennia marina and Sonneratia alba have been established and monitored since 1990. We used KiWi, an individual-based model to hindcast the development of some of these monospecific stands planted at regular intervals, and we used field data on plant development and floristic recruitment under natural conditions to parameterize the KiWi model for each species. Next, starting from the conditions used for planting mangroves in Gazi, we investigated densities and basal areas of planted species as well as the non-planted species that were recruited naturally at different time intervals. We then compared the development of planted forests with or without recruitment and with or without thinning as a forestry approach to management. This study uses a unique combination of field data analyses with simulation experiments in order to demonstrate the mangrove stand development and investigate various forest management options over time. Such information is important for effective mangrove restoration and management.
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