Impact of Anthropogenic Disturbance on a Mangrove Forest Assessed by a 1D Cellular Automaton Model Using Lotka–Volterra-Type Competition

Impact of Anthropogenic Disturbance on a Mangrove Forest Assessed by a 1D Cellular Automaton Model Using Lotka–Volterra-Type Competition

P.T. Obade N. Koedam K. Soetaert G. Neukermans J. Bogaert E. Nyssen F. Van Nedervelde U. Berger F. Dahdouh-Guebas 

Biocomplexity Research Focus, Laboratory of General Botany and Nature Management, Mangrove Management Group,

Faculteit Wetenschappen en Bio-ingenieurswetenschappen, Vrije Universiteit Brussel (VUB), Belgium

Kenya Marine and Fisheries Research Institute, Kenya

Nederlands Instituut voor Oecologisch Onderzoek, Centrum voor Estuariene en Mariene Ecologie (NIOO-CEMO), The

Netherlands

Laboratoire d’Ecologie du Paysage et Systèmes de Production Végétale, Faculté des Sciences, Université Libre de

Bruxelles (ULB), Belgium

Image Processing and Machine Vision Group, Department of Electronics and Informatics, VUB, Belgium

Complexité et Dynamique des Systèmes Tropicaux, Département de Biologie des Organismes, Faculté des Sciences, ULB,

Belgium

Department of Forest Biometry and Systems Analysis, Institute of Forest Growth and Forest Computer Sciences,

Technische Universität Dresden, Germany

Page: 
297-320
|
DOI: 
https://doi.org/10.2495/D&NE-V3-N4-297-320
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
31 December 2008
| Citation

OPEN ACCESS

Abstract: 

Mangrove forests are ecologically and economically important and frequently dominating protected coastal areas in the tropics and subtropics at suitable intertidal zones and are often subjected to disturbances that disrupt the structure of an ecosystem, that change resource availability and that create patterns in vegetation by producing a mosaic of seral stages that ecologists have long recognised as important to landscape-level patch mosaics. Several good reasons justify the need for pursuing a predictive understanding of the ecology of mangrove species competition including the role of disturbance events and the aftermath. A predictive understanding can challenge our assumptions concerning the factors that control plant distribution and abundance and provide techniques for predicting rates of species change ranges in response to disturbances. The aim of this study was to evaluate and predict the impact of canopy disturbances on Gazi Bay mangrove forests and the subsequent vegetation patterns both spatially and temporally. The use of a simple 1D cellular automaton provided a detailed and nearly comprehensive parameterisation of the model by forest structure parameters belonging to the standard measurements of mangrove field surveys. In the study presented, the field data were obtained for disturbance impacts at various spatial scales considering not only the spatial extent of the disturbance but also its particular location. For this, multiple sampling transects were selected a priori, based on the vegetation patterns observed on Quickbird satellite image (2002) of Gazi, to reflect major ecological zones and vegetation transitions in space. Earlier field studies already revealed different population trajectories in some cases for the same pairwise species interactions, which are consistent with the hypothesis that different scales of disturbances may affect succession trends. Simulation experiments supported these findings by demonstrating that varying disturbance impacts determine coexistence or mutual exclusion of the interacting species and occasionally leading to equilibrium shifts to alternative states. We suggest the consideration of simulation experiments as a good proxy for predicting mangrove species dynamics not neglecting the need of further evaluation based on the transient ecodynamics.

Keywords: 

forecasting, Gazi, Kenya, mangrove, succession trajectory, vegetation dynamics

  References

[1] Twilley, R.R., Chen, R. & Hargis, T., Carbon sinks in mangroves and their implications to carbon budget of tropical coastal ecosystem. Water, Air and Soil Pollution, 64, pp. 265–288, 1992.

[2] Solan, M., Cardinale, B.J., Downing, A.L., Engelhardt, K.A.M., Ruesink, J.L. & Srivastava, D.S., Extinction and ecosystem function in the marine benthos. Science, 306, pp. 1177–1180, 2004.

[3] Henle, K., Davies, K.F., Kleyer, M., Margules, C. & Settele, J., Predictors of species sensitivity to fragmentation. Biodiversity and Conservation, 13, pp. 207–251, 2004.

[4] Kristensen, E., Bouillon, S., Dittmar, T. & Marchand, C., Organic carbon dynamics in mangrove ecosystems: a review. Aquatic Botany, 89(2), pp. 201–219, 2008.

[5] Aburto-Oropeza, O., Ezcurra, E., Danemann, G., Valdez, V., Murria, J. & Sala, E., Mangroves in the Gulf of California increase fi shery yields. Proceedings of the National Academy of Sciences of the United States of America, 105(30), pp. 10456–10459, 2008.

[6] Cannicci, S., Burrows, D., Fratini, S., Lee, S.Y., Smith III, T.J., Offenberg J. & Dahdouh-Guebas, F., Faunistic impact on vegetation structure and ecosystem function in mangrove forests: a review. Aquatic Botany, 89(2), pp. 186–200, 2008.

[7] Nagelkerken, I., Blaber, S., Bouillon, S., Green, P., Haywood, M., Kirton, L.G., Meynecke, J.O., Pawlik, J., Penrose, H.M., Sasekumar, A. & Somerfi eld, P.J., The habitat function of mangroves for terrestrial and marina fauna: a review. Aquatic Botany, 89(2), pp. 155–185, 2008.

[8] Walters, B.B., Rönnbäck, P., Kovacs, J., Crona, B., Hussain, S., Badola, R., Primavera, J.H., Barbier, E.B. & Dahdouh-Guebas, F., Ethnobiology, socio-economics and adaptive management of mangroves: a review. Aquatic Botany, 89(2):, pp. 220–236, 2008.

[9] Badola, R., Hussain, S.A., Valuing ecosystem functions: an empirical study on the storm protection function of Bhitarkanika mangrove ecosystem, India. Environmental Conservation, 32(1), pp. 85–92, 2005.

[10] Dahdouh-Guebas, F., Jayatissa, L.P., Di Nitto, D., Bosire, J.O., Lo Seen D. & Koedam, N., How effective were mangroves as a defence against the recent tsunami? Current Biology, 15(12), pp. R443–447, 2005.

[11] Gilman, E., Ellison, J., Duke, N.C. & Field, C., Threats to mangroves from climate change and adaptation options: a review. Aquatic Botany, 89(2), pp. 237–250, 2008.

[12] Burke, L. & Maidens, J. (eds), Reefs at Risk in the Caribbean, World Resources Institute: Washington, 2004.

[13] UNEP-WCMC, In the Front LIne: Shoreline Protection and Other Ecosystem Services from Mangroves and Coral Reefs, United Nations Environment Programme, World Conservation Monitoring Centre: Cambridge, 2006.

[14] Farnsworth, E.J. & Ellison, A.M., The global conservation status of mangroves. Ambio, 26, pp. 328–334, 1997.

[15] Semesi, A.K. Mangrove management and utilization in Eastern Africa. Ambio, 27, pp. 620–626, 1998.

[16] Naylor, R.L., Goldburg, R.J., Primavera, J.H., Kautsky, N., Beveridge, C.M., Clay, J., Folke, C., Lubchenco, J., Moony, H. & Troell, M., Effect of aquaculture on world fi sh supplies. Nature, 405, pp. 1017–1024, 2000.

[17] Dahdouh-Guebas, F., Verheyden, A., De Genst, W., Hettiarachchi, S. & Koedam, N., Four decade vegetation dynamics in Sri Lankan mangroves as detected from sequential aerial photography: a case study in Galle. Bulletin of Marine Science, 67, pp. 741–759, 2000.

[18] Kairo, J.G. (ed.), Ecology and Restoration of Mangrove Systems in Kenya. PhD dissertation, Vrije Universiteit Brussel: Brussels, 2001.

[19] Duke, N.C., Meynecke, J.O., Dittmann, S., Ellison, A.M., Anger, K., Berger, U., Cannicci, S., Diele, K., Ewel, K.C., Field, C.D., Koedam, N., Lee, S.Y., Marchand, C., Nordhaus, I. & Dahdouh-Guebas, F., A world without mangroves? Science, 317, pp. 41–42, 2007.

[20] Dahdouh-Guebas, F., Hettiarachchi, S., Lo Seen, D., Batelaan, O., Sooriyarachchi, S., Jayatissa, L.P. & Koedam, N., Transitions in ancient inland freshwater resource management in Sri Lanka affect biota and human populations in and around coastal lagoons. Current Biology, 15, pp. 579–586, 2005.

[21] Sherman, R.E., Fahey, T.J. & Battles, J.J., Small-scale disturbance and regeneration dynamics in a neotropical mangrove forest. Journal of Ecology, 88, pp. 165–178, 2000.

[22] Saenger, P. (ed.), Mangrove Ecology, Silviculture and Conservation, Kluwer Academic Publishers: Dordrecht, 2002.

[23] Zavaleta, E.S. & Hulvey, K.B., Realistic species losses disproportionately reduce grassland resistance to biological invaders. Science, 306, pp. 1175–1177, 2004.

[24] Worm, B., Barbier, E.B., Beaumont, N., Duffy, J.E., Folke, C., Halpern, B.S., Jackson, J.B.C., Lotze, H.K., Micheli, F., Palumbi, S.R., Sala, E., Selkoe, K.A., Stachowicz, J.J. & Watson, R., Impacts of biodiversity loss on ocean ecosystem services. Science, 314, pp. 787–790, 2006.

[25] White, P.S. & Pickett, S.T., Natural disturbance and patch dynamics: an introduction. The Ecology of Natural Disturbance and Patch Dynamics, eds. S.T.A. Pickett & P.S. White, Academic Press: New York, pp. 3–13, 1985.

[26] Watt, A.S., Pattern and process in the plant community. Journal of Ecology, 35, pp. 1–22, 1947.

[27] White, P.S., Pattern, process, and natural disturbance in vegetation. Botanical Review, 45, pp. 229–299, 1979.

[28] Perry, G.L.W., Landscapes, space and equilibrium: shifting viewpoints. Progress in Physical Geography, 26, pp. 339–359, 2002.

[29] Laurie, W.A. & Brown, D., Population Biology of Marine Iguanas (Amblyrhynchus-Cristatus). Factors Affecting Survival. Journal of Animal Ecology, 59, pp. 545–568, 1990.

[30] Romme, W.H., Fire and landscape diversity in subalpine forests of Yellowstone National Park. Ecological Monographs, 52, pp. 191–221, 1982.

[31] Turner, G.M., Landscape ecology: The effect of pattern on process. Annual Review of Ecology and Systematics, 20, pp. 171–197, 1989.

[32] Baker, W.L., Effect of scale and spatial heterogeneity on fi re-interval distributions. Canadian Journal of Forest Research, 19, pp. 700–706, 1989.

[33] Turner, G.M. & Dale, V.H., Comparing large, infrequent disturbances; what have we learned? Introduction for special feature. Ecosystems, 1, pp. 493–496, 1998.

[34] Collins, S. L., Knapp, A. K., Briggs, J.M. & Steinhauer, E.M., Modulation of diversity by grazing and mowing in native tallgrass prairie. Science, 280, pp. 745–747, 1998.

[35] Scheffer, M., Carpenter, S., Foley, J.A., Folke, C. & Walker, B., Catastrophic shifts in ecosystems. Nature, 413, pp. 591–596, 2001.

[36] Turner, G.M., Gardner, R.H. & O’Neill, R.V., Landscape Ecology: In theory and practise; pattern and process. Springer-Verlag, New York, 2001.

[37] Higgins, S.I., Turpie, J.K., Costanza, R., Cowling, R.M., Le Maitre, D.C., Marais, C. & Midgley, G.F., An ecological economic simulation model of mountain fynbos ecosystems: Dynamics, valuation and management. Ecological Economics, 22, pp. 155–169, 1997.

[38] Harper, J.L. (ed.), Population Biology of Plants, Academic Press: London, 1977.

[39] Mack, R.N. (ed.), Invading Plants: Their Potential Contribution to Population Biology, Academic Press: London, 1985.

[40] Richardson, D.M. & Bond, W.J., Determinants of plant distribution: Evidence from pine invasions. American Naturalist, 137, pp. 639–668, 1991.

[41] Lodge, D.M. Biological invasions: Lessons for ecology. Trends in Ecology and Evolution, 8, pp. 133–137, 1993.

[42] Busing, R.T. & Mailly, D., Advances in spatial, individual-based modelling of forest dynamics. Journal of Vegetation Science, 15, pp. 831–842, 2004.

[43] Sprugel, D.G. Disturbance, Equilibrium, and environmental variability – what is natural vegetation in a changing environment. Biological Conservation, 58, pp. 1–18, 1991.

[44] Chen, R. & Twilley, R.R., A gap dynamic model of mangrove forest development along gradients of soil salinity and nutrient resources. Journal of Ecology, 86, pp. 37–51, 1998.

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

[46] Berger, U., Adams, M., Grimm, V. & Hildenbrandt, H., Modelling secondary succession of neotropical mangroves: Causes and consequences of growth reduction in pioneer species. Perspectives in Plant Ecology, Evolution and Systematics 7, pp. 243–252, 2006.

[47] Berger, U. & Hildenbrandt, H., A new approach to spatially explicit modelling of forest dynamics: spacing, ageing and neighbourhood competition of mangrove trees. Ecological Modelling, 132, pp. 287–302, 2000.

[48] Durrett, R. & Levin, S., The importance of being discrete (and spatial). Theoretical Population Biology, 46, pp. 363–394, 1994.

[49] Kawata, M. & Toquenaga, Y., From artifi cial individuals to global patterns. Trends in Ecology and Evolution, 9, pp. 417–421, 1994.

[50] Parrott, L. Quantifying the complexity of simulated spatiotemporal population dynamics. Ecological Complexity, 2(2), pp. 175–184, 2005.

[51] Comins, H.N. & Hassell, M.P., The dynamics of predation and competition in patchy environments. Theoretical Population Biology, 31, pp. 393–421, 1987.

[52] Tilman, D., The importance of the mechanisms of interspecifi c competition. American Naturalist, 129, pp. 769–774, 1987.

[53] Kairo, J.G., Dahdouh-Guebas, F., Bosire, J. & Koedam, N., Restoration and management of mangrove systems – A lesson for and from the East African region. South African Journal of Botany, 67, pp. 383–389, 2001.

[54] Bosire, J.O., Dahdouh-Guebas, F., Walton, M., Crona, B.I., Lewis III, R.R., Field, C., Kairo, J.G. & Koedam, N., Functionality of restored mangroves: a review. Aquatic Botany, 89(2), pp. 251–259, 2008.

[55] Verheyden, A. (ed.), Rhizophora mucronata wood as a proxy for changes in environmental conditions. A study of the wood anatomy, stable isotope chemistry and inorganic composition of a Kenyan mangrove species. PhD thesis, Vrije Universiteit Brussel: Brussels, 2004.

[56] Dahdouh-Guebas, F., Verneirt, M., Cannicci, S., Kairo, J.G., Tack, J.F. & Koedam, N., An exploratory study on grapsid crab zonation in Kenyan mangroves. Wetlands Ecology and Management, 10, pp. 179–187, 2002.

[57] Bosire, J., Dahdouh-Guebas, F., Kairo, J.G. & Koedam, N., Colonisation of non-planted mangrove species into restored mangrove stands in Gazi Bay, Kenya. Aquatic Botany, 76, pp. 267–279, 2003.

[58] Cottam, G. & Curtis J.T., The use of distance measures in phytosociological sampling. Ecology, 37, pp. 451–460, 1956.

[59] Cintrón, G. & Schaeffer-Novelli, Y., Methods for studying mangrove structure. The Mangrove Ecosystem: Research Methods, eds S.C. Snedaker & J.G. Snedaker, UNESCO: Paris, pp. 91–113, 1984.

[60] Dahdouh-Guebas, F. & Koedam, N., Empirical estimate of the reliability of the use of the Point-Centred Quarter Method (PCQM): solutions to ambiguous fi eld situations and description of the PCQM + protocol. Forest Ecology and Management, 228, pp. 1–18, 2006.

[61] Neukermans, G., Dahdouh-Guebas. F., Kairo J.G. & Koedam, N., Mangrove species and stand mapping in Gazi Bay (Kenya) using Quickbird satellite imagery. Journal of Spatial Science, 52(1), pp. 75–86, 2008.

[62] Brokaw, N. & Thompson, J., The H for DBH. Forest Ecology and Management, 129, pp. 89–91, 2000.

[63] Holdridge, L., Grenke, W.C., Hatheway, W.H., Liang, T. & Tosi, J.A. (eds), Forest Environment in Tropical Life Zones, Pergamon Press: New York, 1971.

[64] Blanco, J.F., Bejarano, J.L. & Cantera, J.R., A new look at computation of the complexity index in mangroves: do disturbed forests have clues to analyse canopy height patchiness? Wetlands Ecology and Management, 9, pp. 91–100, 2001.

[65] Curtis, J.T. (ed.), The Vegetation of Winsconsin. An Ordination of Plant Communities, University of Winsconsin Press: Madison, 1959.

[66] Wilson, W. (ed.), Simulating Ecological and Evolutionary Systems, Cambridge University Press: Cambridge, 2000.

[67] Calow, P., Falk, D.A., Grace, J., Moore, P.D., Shorrocks, B. & Stearn, S.C. (eds), The Encyclopedia of Ecology and Environmental Management, Blackwell Science: Oxford, 1998.

[68] Hastings, A., Disturbance, coexistence, history and competition for space. Theoretical Population Biology, 18, pp. 363–373, 1980.

[69] Hastings, A., Complex interactions between dispersal and dynamics: lessons from coupled logistic equations. Ecology, 74, pp. 1362–1372, 1993.

[70] Turner, G.M., Romme, W.H., Gardner, R.H., O’Neill, R.V. & Kratz, T.K., A revised concept of landscape equilibrium: disturbance and stability on scaled landscapes. Landscape Ecology, 8, pp. 213–227, 1993.

[71] Lehman, C.L. & Tilman, D., Biodiversity, stability and productivity in competitive communities. The American Naturalist, 156(5), pp. 534–552, 2000.

[72] Rozdilsky, I.D. & Stone, L., Complexity can enhance stability in competitive systems. Ecology Letters, 4, pp. 397–400, 2001.

[73] Pascual, M., Roy, M. & Franc, A., Simple temporal models for ecological systems with complex spatial patterns. Ecology Letters, 5, pp. 412–419, 2002.

[74] Hastings, A., Transients: the key to long-term ecological understanding? Trends in Ecology and Evolution 19, pp. 39–45, 2004.

[75] Begon, M., Harper, J.L. & Townsend, C.R. (eds), Ecology: Individuals, Populations, and Communities, 3rd edn, Blackwell Science Ltd.: Cambridge, 1996.

[76] Jeltsch, F., Milton, S.J., Dean, W.R.J. & van Rooyen, N., Tree spacing and coexistence in semiarid savannas. Journal of Ecology, 84, pp. 583–595, 1996.

[77] Swartzman, G.L. & Kaluzny, S.P. (eds), Ecological Simulation Primer, Macmillan: New York, 1987.

[78] McCallum, H. (ed.), Population Parameters: Estimation for Ecological Models, Blackwell Science: Oxford, 2000.

[79] Soetaert, K., deClippele, V. & Herman, P., Femme, a fl exible environment for mathematically modelling the environment. Ecological Modeling, 151, pp. 177–193, 2002.

[80] Dahdouh-Guebas, F. & Koedam, N., A synthesis of existent and potential mangrove vegetation structure dynamics from Kenyan, Sri Lankan and Mauritanian case-studies. Mededelingen der Zittingen van de Koninklijke Academie voor Overzeese Wetenschappen / Bulletin des Séances de l’Académie Royal des Sciences d’Outre-Mer, 48, pp. 487–511, 2002.

[81] Binkley, D., Stape, J.L., Ryan, M.G., Barnard, H.R. & Fownes, J., Age-related decline in forest ecosystem growth: an individual-tree, stand-structure hypothesis. Ecosystems, 5, pp. 58–67, 2002.

[82] Overpeck, J.T., Rind, D. & Goldberg, R., Climate-Induced Changes in Forest Disturbance and Vegetation. Nature, 343, pp. 51–53, 1990.

[83] Pickett, S.T.A. & White, P.S. (eds), The Ecology of Natural Disturbance and Patch Dynamics, Academic Press Inc.: New York, 1985.

[84] Rabinowitz, D., Mortality and initial propagule size in mangrove seedlings in Panama. Journal of Ecology, 66, pp. 45–51, 1978.

[85] Ball, M.C., Patterns of secondary succession in a mangrove forest of South Florida. Oecologia, 44, pp. 226–235, 1980.

[86] Jimenez, J.A., The structure and function of dry weather mangroves on the Pacifi c coast of Central America with an emphasis on Avicennia bicolor forests. Estuaries 13, pp. 182–192, 1990.

[87] Roth, L.C., Hurricanes and Mangrove Regeneration - Effects of Hurricane Joan, October 1988, on the Vegetation of Isla Del Venado, Bluefi elds, Nicaragua. Biotropica, 24, pp. 375–384, 1992.

[88] Baldwin, A.H., Platt, W.J., Gathen, K.T., Lessman, J.M. & Rauch, T.J., Hurricane damage and regeneration in fringe forests of southeast Florida, USA. Journal of Coastal Research, S12, pp. 169–183, 1995.

[89] Duke, N.C., Ball, M.C. & Ellison, J.C., Factors infl uencing biodiversity and distributional gradients in mangroves. Global Ecology and Biogeography Letters, 7, pp. 27–47, 1998.

[90] Baldwin, A., Egnotovich, M., Ford, M., Platt, W., Regeneration in fringe mangrove forests damaged by Hurricane Andrew. Plant Ecology, 157, pp. 149–162, 2001.

[91] Kairo, J.G. (ed.), Community Participatory Forestry for Rehabilitation of Deforested Mangrove Areas of Gazi Bay (Kenya). A First Approach, Final technical report, University of Nairobi, Nairobi, 1995.

[92] Dahdouh-Guebas, F., Van Pottelbergh, I., Kairo, J.G., Cannicci, S. & Koedam, N., Humanimpacted mangroves in Gazi (Kenya): predicting future vegetation based on retrospective remote sensing, social surveys, and distribution of trees. Marine Ecology Progress Series, 272, pp. 77–92, 2004.

[93] Kairo, J.G., Dahdouh-Guebas, F., Gwada, P.O., Ochieng, C. & Koedam, N., Regeneration status of mangrove forests in Mida Creek, Kenya: a compromised or secured future? Ambio, 31, pp. 562–568, 2002.

[94] Obade, P., Dahdouh-Guebas, F., Koedam, N., Wulf, R.D. & Tack, J.F., GIS-based integration of interdisciplinary ecological data to detect land-cover changes in creek mangroves at Gazi Bay, Kenya. Western Indian Ocean Journal of Marine Science, 3, pp. 11–27, 2004.

[95] Jentsch, A., Beierkuhnlein, C. & White, P.S., Scale, the dynamic stability of forest ecosystems, and persistence of biodiversity. Silva Fennica, 36, pp. 393–400, 2002.

[96] Wiegand, M.T., K.A. & Milton, S.J., Population dynamics, disturbance, and pattern evolution: identifying the fundamental scales of organization in a model ecosystem. American Naturalist, 152, pp. 321–337, 1998.

[97] Eriksson, A. & Eriksson, O., Population dynamics of the perennial Plantago media in seminatural grasslands. Journal of Vegetation Science, 11, pp. 245–252, 2000.

[98] Thom, B.G., Mangrove ecology and deltaic geomorphology: Tabasco, Mexico. Journal of Ecology, 55, pp. 301–343, 1967.

[99] Thom, B.G., Mangrove ecology - a geomorphological perspective. Mangrove Ecosystems in Australia, ed. B.F. Clough, Australian National University Press: Canberra, pp. 3–17, 1982.

[100] Bugmann, H., A review of forest gap models. Climatic Change, 51, pp. 259–305, 2001.

[101] Shugart, H.H. (ed.), A Theory of Forest Dynamics. The Ecological Implications of Forest Succession Models, Springer-Verlag: New York, 1984.

[102] Urban, D.L., Bonan, G.B., Smith, T.M. & Shugart, H.H., Spatial Applications of Gap Models. Forest Ecology and Management, 42, pp. 95–110, 1991.