Computer Modelling as an Aid to Forest and Woodland Restoration


Reclamation of terrestrial ecosystems tends to be focussed on two main land uses, mining and degraded agricultural or forested lands. Modelling has great potential to assist in both situations. The aim of many restoration programs is to restore biodiversity and a self-sustaining, fully functional ecosystem, which is intimately linked with the return of the plants, the vertebrates and, particularly, the invertebrate fauna, whose presence plays a pivotal role in most ecosystem functions and processes. A thorough understanding of these plant-fauna associations is essential if restoration is to succeed. It could also equip us with the knowledge to decide how minimalistic our information needs can be when modelling progress with restoration, for instance: by quantifying certain biophysical parameters; these plus certain vegetation indices; or by both plus a range of faunal attributes. As well as streamlining the restoration monitoring process, this could lead to the enhancement of the conservation value of the restoration, and a clear understanding of the ecological links between flora and fauna would also help develop bioindicators as components of completion criteria schedules. Using Western Australian bauxite mining in the Jarrah (Eucalyptus marginata) forest as a case study, this paper reviews rehabilitation prescriptions and trends in development of plant assemblages, invertebrate colonization and litter decomposition, and applies a systems dynamic modelling approach model to test assumptions regarding the evolution of plant-fauna assemblages in time and assess whether it is feasible to predict temporal changes in the rehabilitation of this ecosystem. Secondly, in relation to efforts to purchase and rehabilitate land to reconnect remnant woodland vegetation close to the south coast of Western Australia, network analysis and multi-level simulations are applied in order to decide the best locations to acquire land and to restore it in order to optimise connectivity.


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Majer, J. , Dunn, A. & Orsini, J. (2014). Computer Modelling as an Aid to Forest and Woodland Restoration. Open Journal of Forestry, 4, 112-123. doi: 10.4236/ojf.2014.42017.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Baguette, M., & Van Dyck, H. (2007). Landscape connectivity and animal behavior: Functional grain as a key determinant for dispersal. Landscape Ecology, 22, 1117-1129.
[3] Bangian, A. H., Ataei, M., Sayadi, A., & Gholinejad, A. (2011). Fuzzy analytical hierarchy processing to define optimum post mining land use for pit area to clarify reclamation costs. Gospodarka Surowcami Mineralnymi, 27, 145-168.
[4] Beier, P., & Noss, R. F. (1998). Do habitat corridors provide connectivity? Conservation Biology, 12, 1241-1252.
[5] Bell, D. T., & Hobbs, R. J. (2007). Jarrah forest ecosystem restoration: A foreword. Restoration Ecology, 15, S1-S2.
[6] Benhamou, S. (2007). How many animals really do the Levy walk? Ecology, 88, 1962-1969.
[7] Bodin, O., & Norberg, J. (2007). A network approach for analyzing spatially structured populations in fragmented landscapes. Landscape Ecology, 22, 31-44.
[8] Bodin, O., & Saura, S. (2010). Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments. Ecological Modelling, 221, 2393-2405.
[9] Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network analysis in the social sciences. Science, 323, 892-895.
[10] Bradby, K. (2008). Gondwana Link: A Landscape Scale Restoration Project in South-West WA. Global Restoration Network Report, Top 25 Ecological Restoration Projects in Australasia.
[11] Chopard, B., & Droz, M. (1998). Cellular automata modeling of physical systems. Cambridge: Cambridge University Press.
[12] Cobby, G. (2006). Review of environmental performance bonds in Western Australia. In A. Fourie, & M. Tibbett (Eds.), Mine closure 2006 (pp. 75-80). Perth: Australian Centre for Geomechanics.
[13] Covington, W. W., Fulé, P. Z., Hart, S. C., & Weaver, R. P. (2001). Modeling ecological restoration effects on Ponderosa pine forest structure. Restoration Ecology, 9, 421-431.
[14] Dunn, A. G., & Majer J. D. (2007). In response to the continuum model for fauna research: A hierarchical, patch-based model of spatial landscape patterns. Oikos, 116, 1413-1418.
[15] Dunn, A. G., & Majer, J. D. (2009). Measuring connectivity patterns in a macro-corridor on the south coast of Western Australia. Ecological Management & Restoration, 10, 51-57.
[16] Dunn, A. G. (2010a). Grid-induced biases in connectivity metric implementations that use regular grids. Ecography, 33, 627-631.
[17] Dunn, A. G. (2010b). Hierarchical cellular automata methods. In: A. G. Hoekstra, J. Kroc, & P. M. A. Sloot (Eds.), Simulating complex systems by cellular automata (pp. 59-80). Berlin and Heidelberg: Springer-Verlag.
[18] Epstein, J. M. (2008). Why model? Journal of Artificial Societies and Social Simulation, 11, 12.
[19] Fahrig, L. (2001). How much habitat is enough? Biological Conservation, 100, 65-74.
[20] Forman, R. T. T. (1995). Some general principles of landscape and regional ecology. Landscape Ecology, 10, 133-142.
[21] Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40, 35-41.
[22] Gardner, J. H., & Koch, J. M. (1991). Re-establishing the jarrah forest flora on rehabilitated bauxite mines in the Darling Range, Western Australia. Proceedings of the Protective Custody—Plant Conservation Conference. Canberra: Australian National Botanic Gardens and Australian National Parks and Wildlife Service.
[23] Grant, C. D., Ward, S. C., & Morley, S. C. (2007). Return of ecosystem function to restored bauxite mines in Western Australia. Restoration Ecology, 15, S94-S103.
[24] Greenslade, P., & Majer, J. D. (1993). Recolonisation by collembola of rehabilitated bauxite mines in Western Australia. Australian Journal of Ecology, 18, 385-394.
[25] Haddad, N. M. (1999). Corridor use predicted from behaviours at habitat boundaries. The American Naturalist, 153, 215-227.
[26] Halton, J. H., & Smith, G. B. (1964). Radical-inverse quasi-random point sequence. Communications of the ACM, 7, 701-702.
[27] Hancock, G. R. (2004). The use of landscape evolution models in mining rehabilitation design. Environmental Geology, 46, 561-573.
[28] Hatch, A. B. (1955). The influence of plant litter on the jarrah forest soils of the Dwellingup region. Western Australia. Leaflet No. 70. Perth: Commonwealth of Australia, Forest and Timber Bureau.
[29] Hingston, F. J. (1980). Nitrogen in litter and soils with reference to the jarrah forest ecosystem. In R. A. Rummery, & F. J. Hingston (Eds.), Managing the nitrogen economies of natural and man-made forest ecosystems (pp. 229-249). Perth: CSIRO.
[30] Hobbs, R. J., & Cramer, V. A. (2008). Restoration ecology: Interventionist approaches for restoring and maintaining ecosystem function in the face of rapid environmental change. Annual Review of Environment and Resources, 33, 39-61.
[31] Holland, E. P., Aegerter, J. N., Dytham, C., & Smith, G. C. (2007). Landscape as a model: The importance of geometry. PLoS Computational Biology, 3, e200.
[32] Ims, R. A. (1995). Movement patterns related to spatial structures. In A. Hansson, L. Fahrig, & G. Merriam (Eds.), Mosaic landscapes and ecological processes (pp. 85-109). London: Chapman & Hall.
[33] Johnson, A., Wiens, J., Milne, B., & Crist, T. (1992). Animal movements and population dynamics in heterogeneous landscapes. Landscape Ecology, 7, 63-75.
[34] Jones, F. A., & Helen, C. M.-L. (2008). Measuring long-distance seed dispersal in complex natural environments: An evaluation and integration of classical and genetic methods. Journal of Ecology, 96, 642-652.
[35] Koch, J. M. (2007a). Alcoa’s mining and restoration process in South Western Australia. Restoration Ecology, 15, S11-S16.
[36] Koch, J. M. (2007b). Restoring a jarrah forest understorey vegetation after bauxite mining in Western Australia. Restoration Ecology, 15, S26-S39.
[37] Levin, S. A. (1992). The problem of pattern and scale in ecology: The Robert H. MacArthur Award lecture. Ecology, 73, 1943-1967.
[38] Li, D., Wang, Y., & Fu, Z. (2005). An intelligent decision support system for revegetation and reclamation of land contaminated from coal mine wastes. Gospodarka Surowcami Mineralnymi, 21, 41-55.
[39] Lindenmayer, D. B., McIntyre, S., & Fischer, J. (2003). Birds in eucalypt and pine forests: Landscape alteration and its implications for research models of faunal habitat use. Biological Conservation, 110, 45-53.
[40] Majer, J. D., & de Kock, A. E. (1992). Antrecolonisation of sand mines near Richards Bay, South Africa—An evaluation of progress with rehabilitation. South African Journal of Science, 88, 31-36.
[41] Majer, J. D. (1990). Rehabilitation of disturbed lands: Long-term prospects for the recolonisation of fauna. In: D. Saunders, R. How, & A. Hopkins (Eds.), Australian ecosystems: 200 years of utilisation, degradation and reconstruction (pp. 509-519). Melbourne: Blackwell.
[42] Majer, J. D. (1992). Ant recolonisation of rehabilitated bauxite mines of Pocos de Caldas, Brasil. Journal of Tropical Ecology, 8, 97-108.
[43] Majer, J. D. (1996). Ant recolonization of rehabilitated bauxite mines at Trombetas, Pará, Brazil. Journal of Tropical Ecology, 12, 257-273.
[44] Majer, J. D., Day, J. E., Kabay, E. D., & Perriman, W. S. (1984). Recolonisation by ants in bauxite mines rehabilitated by a number of different methods. Journal of Applied Ecology, 21, 355-375.
[45] McRae, B. H., Dickson, B. G., Keitt, T. H., & Shah, V. B. (2008). Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology, 89, 2712-2724.
[46] Mills, C., Chandler, R., & Caporn, N. (1992). Completion criteria. Proceedings of Conference on Management and Rehabilitation of Mined Lands. Perth: Curtin University of Technology.
[47] Mills, N. J., & Getz, W. M. (1996). Modelling the biological control of insect pests: A review of host-parasitoid models. Ecological Modelling, 92, 212-143.
[48] Murphy, H. T., & Lovett-Doust, J. (2004). Context and connectivity in plant metapopulations and landscape mosaics: Does the matrix matter? Oikos, 105, 3-14.
[49] Nathan, R., & Muller-Landau, H. C. (2000). Spatial patterns of seed dispersal, their determinants and consequences for recruitment. Trends in Ecology & Evolution, 15, 278-285.
[50] Nichols, O. G. (2006). Developing completion criteria for native ecosystem reconstruction—A challenge for the mining industry. In A. Fourie, & M. Tibbett (Eds.), Mine closure 2006 (pp. 61-74). Perth: Australian Centre for Geomechanics.
[51] Nichols, O. G., Carbon, B. A., Colquhoun, I. J., Croton, J. T., & Murray, N. N. J. (1985). Rehabilitation after bauxite mining in south-western Australia. Landscape Planning, 12, 75-92.
[52] Nichols, O. G., Koch, J. M., Taylor, S., & Gardner, J. (1991). Conserving biodiversity. Proceedings of the Australian Mining Industry Council Environmental Workshop (pp.116-136). Perth: Australian Mining Industry Council.
[53] Nicolau, J.-M. (2003). Trends in relief design and construction in opencast mining reclamation. Land Degradation & Development, 14, 215-226.
[54] Okabe, A., Boots, B., Sugihara, K., & Chui, S. N. (2000). Spatial tessellations—Concepts and applications of Voronoi diagrams. Chichester: Wiley.
[55] Pearson, R. G., & Dawson, T. P. (2005). Long-distance plant dispersal and habitat fragmentation: Identifying conservation targets for spatial landscape planning under climate change. Biological Conservation, 123, 389-401.
[56] Pickett, S. T. A., & Candenasso, M. L. (1995). Landscape ecology: Spatial heterogeneity in ecological systems. Science, 269, 331-334.
[57] Pinto, N., & Keitt, T. (2009). Beyond the least-cost path: Evaluating corridor redundancy using a graph-theoretic approach. Landscape Ecology, 24, 253-266.
[58] SchOnfisch, B. (1997). Anisotropy in cellular automata. Biosystems, 41, 29-41.
[59] Sivapalan, M., Ruprecht, J. K., & Viney, N. R. (1996). Water and salt balance modelling to predict the effects of land-use changes in forested catchments. 1. Small catchment water balance model. Hydrological Processes, 10, 393-411.<393::AID-HYP307>3.0.CO;2-#
[60] Swift, M. J., Heal, O. W., & Anderson, J. M. (1979). Decomposition in terrestrial ecosystems. Oxford: Blackwell.
[61] Turner, M. G. (1989). Landscape ecology: The effect of pattern on process. Annual Review of Ecological Systems, 20, 171-197.
[62] Twilley, R. R., Rivera-Monroy, V. H., Chen, R., & Botero, L. (1998). Adapting an ecological mangrove model to simulate trajectories in restoration ecology. Marine Pollution Bulletin, 37, 404-419.
[63] WA Department of Mines and Petroleum and WA Environmental Protection Authority (2011). Guidelines for Preparing Mine Closure Plans (78 p). Perth: Government of Western Australia.
[64] Ward, S. C., &. Pickersgill, G. E. (1985). Nutrient distribution in two eucalypt plantations growing on rehabilitated bauxite mines. Australian Journal of Ecology, 10, 111-124.
[65] Ward, S. C., Majer, J. D., & O’Connell, A. M. (1991). Decomposition of eucalypt litter on rehabilitated bauxite mines. Australian Journal of Ecology, 16, 251-257.
[66] Wiens, J. A. (1976). Population responses to patchy environments. Annual review of Ecology and Systematics, 7, 81-120.
[67] With, K. (2002). The landscape ecology of invasive spread. Conservation Biology, 16, 1192-1203.
[68] Wu, J. (1995). From balance-of-nature to hierarchical patch dynamics: A paradigm shift in ecology. The Quarterly Review of Biology, 70, 439-466.

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