Simulating harvesting scenarios towards the sustainable use of mangrove forest plantations

  • M. L. Fontalvo-Herazo
  • C. Piou
  • J. Vogt
  • U. Saint-Paul
  • U. Berger
Original Paper

Abstract

Mangrove forests appear among the most productive ecosystems on earth and provide important goods and services to tropical coastal populations. Thirty-five percent of mangrove forest areas have been lost worldwide in the last two decades. Management measures could be an option to combine human use and conservation of mangroves. These measures can be improved if their impacts are assessed before they are performed. By doing so, the best management option out of a set of all potential options can be selected in advance. The mangrove model—KiWi—has been proven to be suitable for analyzing mangrove forest dynamics in the neotropics. Here, the model was applied to mangrove management scenarios. For this, the model was parameterized to Rhizophora apiculata, one of the most common mangrove species planted in Asia for timber production. It is thus the first simulation model describing Asian mangrove plantations. The recently developed Pattern Oriented Modelling approach was used to find those parameters fitting best density patterns and dbh (diameter at breast height) size classes reported in literature. The results demonstrated that the KiWi model was able to: (1) reproduce the growth patterns of a mono-specific plantation of R. apiculata in terms of forest density and size class distribution and (2) can provide criteria for the selection of a thinning strategy within a harvesting cycle.

Keywords

Rhizophora apiculata Individual-based modeling Pattern oriented modeling Management scenarios KiWi model 

Notes

Acknowledgements

This study was carried out as a part of the German-Vietnamese collaboration project “Can Gio” and was funded by the Deutsche ForshungsGemeinschaft (DFG).

References

  1. Acosta CA, Butler MJ (1997) Role of mangrove habitat as a nursery for juvenile spiny lobster, Panulirus argus, in Belize. Mar Freshw Res 48:721–727CrossRefGoogle Scholar
  2. Bauer S, Wyszomirski T, Berger U, Hildenbrandt H, Grimm V (2004) Asymmetric competition as a natural outcome of neighbour interactions among plants: results from the field-of-neighbourhood modelling approach. Plant Ecol 170:135–145CrossRefGoogle Scholar
  3. Berger U, Hildenbrandt H (2000) A new approach to spatially explicit modelling of forest dynamics: spacing, ageing and neighbourhood competition of mangrove trees. Ecol Model 132:287–302CrossRefGoogle Scholar
  4. Berger U, Hildenbrandt H (2003) The strength of competition among individual trees and the biomass-density trajectories of the cohort. Plant Ecol 167:89–96CrossRefGoogle Scholar
  5. Berger U, Adams M, Grimm V, Hildenbrandt H (2006) Modelling secondary succession of neotropical mangrove: causes and consequences of growth reduction in pioneer species. Perspect Plant Ecol 7:243–252Google Scholar
  6. Berger U, Rivera-Monroy V, Doyle TW, Dahdou-Guebas F, Duke NC, Fontalvo-Herazo ML, Hildenbrandt H, Koedam N, Mehlig U, Piou C, Twilley RR (2008) Advances and limitations of individual-based models to analyze and predict dynamics of mangrove forests. Aquat Bot 89:260–274CrossRefGoogle Scholar
  7. Blasco F, Saenger P, Janodet E (1996) Mangroves as indicators of coastal change. Catena 27:167–178CrossRefGoogle Scholar
  8. Botkin DB, Janak JF, Wallis R (1972) Some ecological consequences of a computer model for forest growth. J Ecol 60:849–872CrossRefGoogle Scholar
  9. Chan HT (1996) Reforestación de manglares en Malaysia peninsular: estudio de caso de Matang. In: Field C (ed) La restauración de ecosistemas de manglar. Sociedad internacional para ecosistemas de manglar, Okinawa, pp 68–80Google Scholar
  10. Chen R, Twilley RR (1998) A gap dynamic model of mangrove forest development along gradients of soil salinity and nutrients resources. J Ecol 86:37–51CrossRefGoogle Scholar
  11. Chu HY, Chen NC, Yeung MC, Tam NFY, Wong YS (1998) Tide-tank system simulating mangrove wetland for removal of nutrients and heavy metals from wastewater. Water Sci Technol 38:361–368CrossRefGoogle Scholar
  12. Doyle TW, Girod GF, Books MA (2003) Chapter 12: modeling mangrove forest migration along the southwest coast of Florida under climate change. In: Ning ZH, Turner RE, Doyle TW, Abdollahi K (eds) Integrated assessment of the climate change impacts on the gulf coast region. GRCCC and LSU Graphic Services, Baton Rouge, LA, pp 211–221Google Scholar
  13. Field C (1996) La restauración de ecosistemas de manglar. Sociedad internacional para ecosistemas de manglar, Okinawa, JapanGoogle Scholar
  14. Field C (1998) Rationale and practices of mangrove aforestation. Mar Freshw Res 49:353–358CrossRefGoogle Scholar
  15. Fromard F, Vega C, Proisy C (2004) Half a century of dynamic coastal change affecting mangrove shorelines of French Guiana. A case study based on remote sensing data analyses and field surveys. Mar Geol 208:265–280CrossRefGoogle Scholar
  16. Gong WK, Ong JE (1995) The use of demographic studies in mangrove silviculture. Hydrobiologia 295:255–261CrossRefGoogle Scholar
  17. Grimm V, Railsback SF (2005) Individual-based modeling and ecology. Princeton University Press, USAGoogle Scholar
  18. Grimm V, Frank K, Jeltsch F, Brandl R, Uchmanski J, Wissel C (1996) Pattern-oriented modelling in population ecology. Sci Total Environ 183:151–166CrossRefGoogle Scholar
  19. Grimm V, Revilla E, Berger U, Jeltsch F, Mooij WM, Railsback SF, Thulke H, Weiner J, Wiegand T, DeAngelis DL (2005) Pattern-oriented modeling of agent-based complex systems: lessons from ecology. Science 310:987–991PubMedCrossRefGoogle Scholar
  20. Grimm V, Berger U, Bastiansen F, Eliassen S, Ginot V, Giske J, Goss-Custard J, Grand T, Heinz SK, Huse G, Huth A, Jepsen JU, Jørgensen C, Mooij WM, Müller B, Pe’er G, Piou C, Railsback SF, Robbins AM, Robbins MM, Rossmanith E, Rüger N, Strand E, Souissi S, Stillman RA, Vabø R, Visser U, DeAngelis DL (2006) A standard protocol for describing individual-based and agent-based models. Ecol Model 198:115–126CrossRefGoogle Scholar
  21. Hilborn R, Mangel M (1997) The ecological detective: confronting models with data. Princeton University Press, New JerseyGoogle Scholar
  22. Imbert D, Rousteau A, Scherrer P (2000) Ecology of mangrove growth and recovery in the Lesser Antilles: state of knowledge and basis for restoration projects. Restor Ecol 8:230–236CrossRefGoogle Scholar
  23. Kathiresan K, Rajendran N (2005) Coastal mangrove forests mitigated tsunami. Short note. Estuar Coast Shelf Sci 65:601–606CrossRefGoogle Scholar
  24. Köhler P, Huth A (2004) Simulating growth dynamics in a south-east Asian rainforest threatened by recruitment shortage and tree harvesting. Clim Change 67:95–117CrossRefGoogle Scholar
  25. Mazda Y, Magi M, Nanao H, Kogo M, Miyagi T, Kanazawa N, Kobashi D (2002) Coastal erosion due to long-term human impact on mangrove forests. Wet Ecol Manag 10:1–9CrossRefGoogle Scholar
  26. Nicholls P, Ellis J (2000) Fringing habitats in estuaries: the sediment–mangrove connection. Water Atmos 10:24–25Google Scholar
  27. Nurzali N (1987) Impact of “tambak” aquaculture to the mangrove ecosystem and its adjacent areas with special reference to north coast of west Java. In: UNDP/UNESCO, Mangroves of Asia and the pacific: status and pilot management. Technical report of the Research and training pilot program on mangrove ecosystems in Asia and the Pacific (RAS/79/002), JMC press, Philippines, pp 355–365Google Scholar
  28. Ong JE (1995) The ecology of mangrove conservation and management. Hydrobiologia 295:343–351CrossRefGoogle Scholar
  29. Phillips PD, de Azevedo CP, Degen B, Thompson IS, Silva JNM, van Gardingen PR (2004) An individual-based spatially explicit simulation model for strategic forest management planning in the eastern Amazon. Ecol Model 173:335–354CrossRefGoogle Scholar
  30. Piou C, Berger U, Hildenbrandt H, Feller I (2008) Testing the intermediate disturbance hypothesis in species-poor systems: a simulation experiment for mangrove forests. J Veg Sci 19:417–424CrossRefGoogle Scholar
  31. Primavera JH (2000) Development and conservation of Philippine mangroves: institutional issues. Special issue. Ecol Econ 35:91–106CrossRefGoogle Scholar
  32. Primavera JH (2005) Mangroves, fishponds, and the quest for sustainability. Science 310:57–59PubMedCrossRefGoogle Scholar
  33. Putz FE, Chan HT (1986) Tree growth, dynamics and productivity in a mature mangrove forest in Malaysia. For Ecol Manag 17:211–230CrossRefGoogle Scholar
  34. R Development Core Team (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0, http://www.R-project.org
  35. Saenger P (2002) Mangrove ecology, silviculture and conservation. Kluwer, NetherlandsGoogle Scholar
  36. Schwinning S, Weiner J (1998) Mechanisms determining the degree of size asymmetry in competition among plants. Oecologia 113:447–455CrossRefGoogle Scholar
  37. Srivastava PBL, Harnarinder SB (1984) Composition and distribution pattern of natural regeneration after second thinning in Matang Mangrove Reserves, Perak, Malaysia. Proc Symp Mangrove Environ 761–784Google Scholar
  38. Tam NFY, Wong YS (1995) Mangroves soils as sinks for waste-water born pollutants. Hydrobiologia 295:231–241CrossRefGoogle Scholar
  39. Twilley RR, Rivera-Monroy VH, Chen R, Botero L (1998) Adapting an ecological mangrove model to simulate trajectories in restoration ecology. Mar Pollut Bull 37:404–419CrossRefGoogle Scholar
  40. Valiela I, Bowen JL, York JK (2001) Mangrove forests: one of the world’s threatened major tropical environments. Bioscience 51:807–815CrossRefGoogle Scholar
  41. Vance DJ, Haywood MDE, Heales DS, Kenyon RA, Loneragan NR, Pendrey RC (2002) Distribution of juvenile penaeid prawns in mangrove forests in a tropical Australian estuary, with particular reference to Penaeus merguiensis. Mar Ecol Prog Ser 228:165–177CrossRefGoogle Scholar
  42. Vannucci M (1987) Conversion of mangroves to other uses: the cochin backwaters. In: UNDP/UNESCO. Mangroves of Asia and the pacific: status and pilot management. Technical report of the Research and training pilot program on mangrove ecosystems in Asia and the Pacific (RAS/79/002). JMC press, Philippines, pp 331–336Google Scholar
  43. Walters BB, Rönnbäck P, Kovacs JM, Crona B, Hussain SA, Badola R, Primavera JH, Barbier E, Dahdouh-Guebas F (2008) Ethnobiology, socio-economics and management of mangrove forests: a review. Aquat Bot 89:220–236CrossRefGoogle Scholar
  44. Watson JG (1928) Mangrove forests of the Malay Peninsula. Malayan forest records No. 6. Fraser and Neave LTD, SingaporeGoogle Scholar
  45. Wiegand T, Jeltsch F, Hanski I, Grimm V (2003) Using pattern-oriented modeling for revealing hidden information: a key for reconciling ecological theory and application. OIKOS 100:209–222CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • M. L. Fontalvo-Herazo
    • 1
    • 4
  • C. Piou
    • 2
  • J. Vogt
    • 3
  • U. Saint-Paul
    • 1
  • U. Berger
    • 3
  1. 1.Leibniz Center for Tropical Marine Ecology (ZMT)BremenGermany
  2. 2.CIRAD, Biological Systems DepartmentLocust Ecology and Control Research UnitMontpellier Cedex 5France
  3. 3.Department of Forest Biometry and Systems Analysis, Institute of Forest Growth and Forest Computer SciencesTechnische Universitaet DresdenTharandtGermany
  4. 4.PuéchabonFrance

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