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Projecting land use transitions at forest fringes in the Philippines at two spatial scales

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Abstract

This paper presents two applications of a spatially explicit model of land use change at two spatial scales: a nation-wide application for the Philippines at relatively coarse resolution and an application with high spatial resolution for one island of the Philippines: Sibuyan island, Romblon province. The model is based on integrated analysis of socio-economic and biophysical factors that determine the allocation of land use change in combination with the simulation of the temporal dynamics (path-dependence and reversibility of changes), spatial policies and land requirements. Different scenarios of near-future developments in land use pattern are simulated illustrating the effects of implementing spatial policies. Results from the coarse scale model with national extent mainly serve to identify the overall pattern of land use change and ‘hot zones’ of deforestation. The detailed application provides more insight in the pattern of land use change and its consequences for ecological processes. The use of the results for environmental assessments is illustrated by calculating spatial indices to assess the impact of land use change on forest fragmentation. It is concluded that spatially explicit modeling of land use change yields important information for environmental management and land use planning. The applications illustrate that the scale of analysis is an important determinant of the model configuration, the interpretation of the results and the potential use by stakeholders. There is no single, optimal, scale for land use change assessments. Each scale enables different types of analysis and assessment: applications at multiple scales therefore give complementary information needed for environmental management.

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References

  • Angelsen A. and Kaimowitz D. 1999. Rethinking the causes of deforestation: Lessons from economic models. World Bank Research Observer 14: 73–98.

    CAS  PubMed  Google Scholar 

  • Baker W.L. and Cai Y. 1992. The r.le programs for multiscale analysis of landscape structure using the GRASS geographical information system. Landscape Ecology 57: 291–302.

    Article  Google Scholar 

  • Chomitz K.M. and Gray D.A. 1996. Roads, Land Use, and Deforestation: A spatial model applied to Belize. The World Bank Economic Review 10: 487–512.

    Google Scholar 

  • Costanza R. and Ruth M. 1998. Using Dynamic Modeling to Scope Environmental Problems and Build Consensus. Environmental Management 22: 183–195.

    Article  PubMed  Google Scholar 

  • Coxhead I. 2000. Consequences of a Food Security Strategy for Economic Welfare, Income Distribution and Land Degradation: The Philippine Case. World Development 28: 111–128.

    Article  Google Scholar 

  • Coxhead I., Rola A. and Kim K. 2001. How Do National Markets and Price Policies Affect Land Use at the Forest Margin? Evidence from the Philippines. Land Economics 77: 250–267.

    Google Scholar 

  • Coxhead I., Shively G. and Shuai X. 2002. Development policies, resource constraints, and agricultural expansion on the Philippine land frontier. Environment and Development Economics 7: 341–363.

    Google Scholar 

  • De Fries R.S., Hansen M.C. and Townshend J.R.G. 2000. Global continuous fileds of vegetation characteristics: a linear mixture model applied to multi-year 8km AVHRR data. International Journal of Remote Sensing 21: 1389–1414.

    Google Scholar 

  • Dobson J.E., Bright E.A., Coleman P.R., Durfee R.C. and Worley B.A. 2000. Landscan: A Global Population Database for Estimating Population at Risk. Photogrammetric Engineering & Remote Sensing 66(7): 849–857.

    Google Scholar 

  • Gardner R.H. 1998. Pattern, process, and the analysis of spatial scales. In: Peterson D.L. and Parker V.T. (eds), Ecological Scale: Theory and Applications. Columbia University Press, New York, New York, USA, pp. 17–34.

    Google Scholar 

  • Garrity D.P., Kummer D.M. and Guiang E.S. 1993. The Philippines. In: National Research Council Committee on sustainable agriculture and the invironment in the humid tropics (ed.), Sustainable Agriculture and the environment in the Humid Tropics. National Academy Press, Washington, DC, USA, pp. 549–624.

    Google Scholar 

  • Geist H.J. and Lambin E.F. 2002. Proximate Causes and Underlying Driving Forces of Tropical Deforestation. Bioscience 52: 143–150.

    Google Scholar 

  • Geoghegan J., Villar S.C., Klepeis P., Mendoza P.M., Ogneva-Himmelberger Y., Chowdhury R.R., Turner II B.L. and Vance C. 2001. Modeling Tropical Deforestation in the Southern Yucatán Peninsular Region: Comparing Survey and Satellite Data. Agriculture, Ecosystems and Environment 85: 25–46.

    Google Scholar 

  • Gustafson E.J. 1998. Quantifying Landscape Spatial Pattern: What Is the State of the Art? Ecosystems 1: 143–156.

    Article  Google Scholar 

  • Hargrove W.W., Gardner R.H., Turner M.G., Romme W.H. and Despain D.G. 2000. Simulating fire patterns in heterogeneous landscapes. Ecological Modelling 135: 243–263.

    Google Scholar 

  • He H.S., DeZonia B.E. and Mladenoff D.J. 2000. An aggregation index (AI) to quantify spatial patterns of landscapes. Landscape Ecology 15: 591–601.

    Article  Google Scholar 

  • He H.S., Ventura S.J. and Mladenoff D.J. 2002. Effects of spatial aggregation approaches on classified satellite imagery. International Journal of Geographical Information Science 16: 93–109.

    Google Scholar 

  • Kelly P.F. 1998. The politics of urban-rural relations: land use conversion in the Philipines. Environment and Urbanization 10: 35–54.

    Google Scholar 

  • Lambin E.F. 1997. Modelling and monitoring land-cover change processes in tropical regions. Progress in Physical Geography 21: 375–393.

    Google Scholar 

  • Lambin E.F., Turner II B.L., Geist H.J., Agbola S.B., Angelsen A., Bruce J.W., Coomes O., Dirzo R., Fischer G., Folke C., George P.S., Homewood K., Imbernon J., Leemans R., Li X.B., Moran E.F., Mortimore M., Ramakrishnan P.S., Richards J.F., Skanes H., Stone G.D., Svedin U., Veldkamp A., Vogel C. and Xu J.C. 2001. The Causes of Land-Use and Land-Cover Change: Moving Beyond the Myths. Global Environmental Change 11: 261–269.

    Article  Google Scholar 

  • Liu D.S., Iverson L.R. and Brown S. 1993. Rates and patterns of deforestation in the Philippines: application of geographic information system analysis. Forest Ecology and Management 57: 1–16.

    Article  Google Scholar 

  • McMorrow J. and Talip M.A. 2001. Decline of forest area in Sabah, Malaysia: Relationship to state policies, land code and land capability. Global Environmental Change 11: 217–230.

    Google Scholar 

  • Menon S., Pontius R.G., Rose J., Khan M.L. and Bawa K.S. 2000. Identifying Convservation-Priority Areas in the Tropics: a Land-Use Change Modeling Approach. Conservation Biology 15: 501–512.

    Google Scholar 

  • Mladenoff D.J. and Baker W.L. 1999. Spatial modeling of forest landscape change: approaches and application. Cambridge University Press, Cambridge, UK.

    Google Scholar 

  • Mladenoff D.J. and DeZonia B.E. 2002. APACK 2.22 users’s guide. Madison, WI, USA, Department of Forest Ecology and Management, University of Wisconsin-Madison, Madison, Wisconsin, USA.

    Google Scholar 

  • Nelson G.C., Harris V. and Stone S.W. 2001. Deforestation, Land Use, and Property Rights: Empirical Evidence from Darien, Panama. Land Economics 77: 187–205.

    Google Scholar 

  • Nelson G.C. and Hellerstein D. 1997. Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use. Agricultural Economics 79: 80–88.

    Google Scholar 

  • Ojima D.S., Galvin K.A. and Turner II B.L. 1994. The global impact of land-use change. Bioscience 44: 300–304.

    Google Scholar 

  • O’Neill R.V., Turner S.J., Cullinan V.I., Coffin D.P, Cook T., Conley W., Brunt J., Thomas J.M., Conley M.R. and Gosz J. 1991. Multiple landscape scales: an intersite comparison. Landscape Ecology 5: 137–144.

    Google Scholar 

  • Peterson G.D. 2002. Contagious Disturbance, Ecological Memory, and the Emergence of Landscape Pattern. Ecosystems 5: 329–338.

    Article  Google Scholar 

  • Portela R. and Rademacher I. 2001. A dynamic model of patterns of deforestation and their effect on the ability of the Brazilian Amazonia to provide ecosystem services. Ecological Modelling 143: 115–146.

    Google Scholar 

  • Rambaldi G. and Callosa-Tarr J. 2000. National Integrated Protected Areas Programme. European Commission, DENR. Essentials of Protected Area Management. 7. Manual on Participatory 3-D Modeling for Natural Resource Management. Quezon City, Philippines.

  • Rambaldi G., Mendoza M. and Ramirez F. 2000. Adding the fourth dimension to Participatory 3-D Modelling. PLA Notes 39: 19–24.

    Google Scholar 

  • Riiters K., Wickham J., O’Neill R.V., Jones B. and Smith E., 2000. Global-Scale Patterns of Forest Fragmentation. Conservation Ecology, 4: 3. URL: http://www.consecol.org/vol4/iss2/art3.

    Google Scholar 

  • Ripple W.J., Bradshaw G.A. and Spies T.A. 1991. Measuring landscape pattern in the Cascade Range of Oregon, USA. Biological Conservation 57: 73–88.

    Article  Google Scholar 

  • Schoorl J.M. and Veldkamp A. 2001. Linking land use and landscape process modelling: a case study for the Alora region (South Spain). Agriculture, Ecosystems and Environment 85: 281–292.

    Google Scholar 

  • Shively G. 2001. Agriculutral Change, Rural Labor Markets, and Forest Clearing: An illustrative Cae form the Philippines. Land Economics 77: 268–284.

    Google Scholar 

  • Swets J.A. 1986. Measuring the accuracy of diagnostic systems. Science, June: 1285–1293.

  • Tischendorf L. 2001. Can landscape indices predict ecological processis consistently? Landscape Ecology 16: 235–254.

    Article  Google Scholar 

  • Tucker C.J. and Townshend J.R.G. 2000. Strategies for monitoring tropical deforestation using satellite data. International Journal of Remote Sensing 21: 1461–1471.

    Google Scholar 

  • Turner M.G. 1989. Landscape ecology: the effect of pattern on process. Annual Review of Ecology and Systematics 20: 171–198.

    Article  Google Scholar 

  • USGS 1996. GTOPO30: global digital elevation model (DEM) at 30 arc seconds. United States Geological Survey, Washington, DC, USA.

    Google Scholar 

  • Van den Top G.M. 1998. The social dynamics of deforestation in the Sierra Madre. NIAS press, Copenhagen, Denmark.

    Google Scholar 

  • Van Rompaey A.J.J., Govers G. and Puttemans C. 2002. Modelling land use changes and their impact on soil erosion and sediment supply to rivers. Earth Surface Processes and Landforms 27: 481–484.

    Google Scholar 

  • Velasco E., Miclat A., Garana J., Lucas-Fernan M.L., Ladra W.F., Blastique T., Velarde A., Torres M.J.A., Sespene P., Casilin A.C., Ronion D. and Rambaldi G. 2000. Socio-economic and Cultural Profile of the Island of Sibuyan, Romblon. Findings and Recommendations for PA Planning resulting from a Rapid Rural Appraisal conducted within the communities of Barangays Taclobo, Tampayan and Lumang Weste. National Integrated Protected Area Programme (NIPAP), Manilla, Philippines.

    Google Scholar 

  • Veldkamp A. and Fresco L.O. 1996. CLUE-CR: an integrated multi-scale model to simulate land use change scenarios in Costa Rica. Ecological Modelling 91: 231–248.

    Article  CAS  Google Scholar 

  • Veldkamp A. and Lambin E.F. 2001. Editorial: Predicting land-use change. Agriculture, Ecosystems and Environment 85: 1–6.

    Google Scholar 

  • Verburg P.H., de Koning G.H.J., Kok K., Veldkamp A. and Bouma J. 1999. A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use. Ecological Modelling 116: 45–61.

    Google Scholar 

  • Verburg P.H., Schot P., Dijst M. and Veldkamp A. 2003a. Land-Use Change Modelling: Current Practice and Research Priorities. Geojournal, in press.

  • Verburg P.H., Soepboer W., Limpiada R., Espaldon M.V.O. and Sharifa M. 2002b. Land use change modelling at the regional scale: the CLUE-s model. Environmental Management 30: 391–405.

    PubMed  Google Scholar 

  • Verburg P.H., Veldkamp A., Engelsman W., van Zalinge R., van Mensvoort M.E.F. and Overmars K. 2003. The use of models to assess the impact of land use change on ecological processes: case-studies of deforestation in SE Asia. In: Gerold G., Fremerey M. and Guhardja E. (eds), Land use, nature conservation, and the stability of rainforest margins in Southeast Asia. Springer-Verlag, Berlin, Germany.

    Google Scholar 

  • Walpole P. 1999. Decline of the Philippines Forest (map and book). Enviornmental Science for Social Change (ESSC), Quezon City, Philippines.

    Google Scholar 

  • Wear D.N., Turner M.G. and Naiman R.J. 1998. Land cover along an urban-rural gradient: implications for water quality. Ecological Applications 8: 619–630.

    Google Scholar 

  • White D., Minotti P.G., Barczak M.J., Sifneos J.C., Freemark K.E., Santelmann M.V., Steinitz C.F., Kiester A.R. and Preston E.M. 1997. Assessing Risks to Biodiversity from Future Landscape Change. Conservation Biology 11: 349–360.

    Article  Google Scholar 

  • Wollenberg E., Edmunds D. and Buck L. 2000. Using scenarios to make decisions about the future: anticipatory learning for the adaptive co-management of community forests. Landscape and Urban Planning 47: 65–77.

    Google Scholar 

  • Wu J., Shen W., Sun W. and Tueller P.T. 2002. Emperical patterns of the effects of changing scale on landscape metrics. Landscape Ecology 17: 761–782.

    Google Scholar 

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  1. Laboratory of Soil Science and Geology, Wageningen University, PO Box 37, 6700 AA, Wageningen, the Netherlands

    Peter H. Verburg & A. Veldkamp

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  1. Peter H. Verburg
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  2. A. Veldkamp
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Correspondence to Peter H. Verburg.

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Verburg, P.H., Veldkamp, A. Projecting land use transitions at forest fringes in the Philippines at two spatial scales. Landscape Ecol 19, 77–98 (2004). https://doi.org/10.1023/B:LAND.0000018370.57457.58

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