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MODELLING THE FOREST TRANSITION IN CENTRAL WESTERN GHATS, INDIA |
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T.V. Ramachandraa,b,c*, Bharath Setturua,d, Rajan K Sd, Subash Chandran M. Da
aEnergy & Wetlands Research Group, Center for Ecological Sciences [CES], http://ces.iisc.ernet.in/energy
bCentre for Sustainable Technologies (astra), c Centre for infrastructure, Sustainable Transportation and Urban Planning [CiSTUP],
Indian Institute of Science, Bangalore, Karnataka, 560 012, India
dLab of Spatial Informatics, IIIT-H, Hyderabad, India.
*Corresponding Author: cestvr@ces.iisc.ernet.in
REFERENCES
- Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., & Kommareddy, A. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850-853.
- Chase, T. N., Pielke Sr, R. A., Kittel, T. G. F., Nemani, R. R., & Running, S. W. (2000). Simulated impacts of historical land cover changes on global climate in northern winter. Climate Dynamics, 16(2-3), 93-105.
- Dupont, L., & Van Eetvelde, V. (2013). Assessing the potential impacts of climate change on traditional landscapes and their heritage values on the local level: Case studies in the Dender basin in Flanders, Belgium. Land use policy, 35, 179-191.
- Bharath, S., Rajan, K. S., & Ramachandra, T. V. (2013). Land surface temperature responses to land use land cover dynamics. Geoinformatics Geostatistics: An Overview, 1(4).
- Ball, J. B. (2001). Global forest resources: history and dynamics. The Forests Handbook, Volume 1: An Overview of Forest Science, 3-22.
- Vinay, S., Bharath, S., Bharath, H. A., & Ramachandra, T. V. (2013). Hydrologic model with landscape dynamics for drought monitoring. In proceeding of: Joint International Workshop of ISPRS WG VIII/1 and WG IV/4 on Geospatial Data for Disaster and Risk Reduction, Hyderabad, November (pp. 21-22).
- Pongratz, J., Reick, C. H., Raddatz, T., & Claussen, M. (2010). Biogeophysical versus biogeochemical climate response to historical anthropogenic land cover change. Geophysical Research Letters, 37(8).
- Bright, R. M. (2015). Metrics for biogeophysical climate forcings from land use and land cover changes and their inclusion in life cycle assessment: a critical review. Environmental science & technology, 49(6), 3291-3303.
- Ramachandra, T. V., Bharath, S., & Bharath, A. (2014). Spatio-temporal dynamics along the terrain gradient of diverse landscape. Journal of Environmental Engineering and Landscape Management, 22(1), 50-63.
- Bonan, G. B. (2008). Forests and climate change: forcings, feedbacks, and the climate benefits of forests. science, 320(5882), 1444-1449.
- Hidalgo, J., Masson, V., & Gimeno, L. (2010). Scaling the daytime urban heat island and urban-breeze circulation. Journal of Applied Meteorology and Climatology, 49(5), 889-901.
- Lawrence, P. J., Feddema, J. J., Bonan, G. B., Meehl, G. A., O'Neill, B. C., Oleson, K. W., ... & Thornton, P. E. (2012). Simulating the biogeochemical and biogeophysical impacts of transient land cover change and wood harvest in the Community Climate System Model (CCSM4) from 1850 to 2100. Journal of Climate, 25(9), 3071-3095.
- Bala, G., Caldeira, K., Wickett, M., Phillips, T. J., Lobell, D. B., Delire, C., & Mirin, A. (2007). Combined climate and carbon-cycle effects of large-scale deforestation. Proceedings of the National Academy of Sciences, 104(16), 6550-6555.
- Antrop, M. (2005). Why landscapes of the past are important for the future. Landscape and urban planning, 70(1), 21-34.
- Calvo-Iglesias, M. S., Fra-Paleo, U., & Diaz-Varela, R. A. (2009). Changes in farming system and population as drivers of land cover and landscape dynamics: the case of enclosed and semi-openfield systems in Northern Galicia (Spain). Landscape and Urban Planning, 90(3), 168-177.
- Taubenböck, H., Esch, T., Felbier, A., Wiesner, M., Roth, A., & Dech, S. (2012). Monitoring urbanization in mega cities from space. Remote sensing of Environment, 117, 162-176.
- Collins, M. G., Steiner, F. R., & Rushman, M. J. (2001). Land-use suitability analysis in the United States: historical development and promising technological achievements. Environmental management, 28(5), 611-621.
- Malczewski, J., & Rinner, C. (2015). Multiattribute Decision Analysis Methods. In Multicriteria Decision Analysis in Geographic Information Science (pp. 81-121). Springer Berlin Heidelberg.
- Ryngnga, P. K. (2008). Ecotourism prioritization: a geographic information system approach. South Asian Journal of Tourism and Heritage, 1(1), 49-56.
- Millington, J. D., Perry, G. L., & Romero-Calcerrada, R. (2007). Regression techniques for examining land use/cover change: a case study of a Mediterranean landscape. Ecosystems, 10(4), 562-578.
- Gilruth, P. T., Marsh, S. E., & Itami, R. (1995). A dynamic spatial model of shifting cultivation in the highlands of Guinea, West Africa. Ecological modelling, 79(1), 179-197.
- Pontius, R. G., Huffaker, D., & Denman, K. (2004). Useful techniques of validation for spatially explicit land-change models. Ecological Modelling, 179(4), 445-461.
- Wood, E. C., Lewis, J. E., Tappan, G. G., & Lietzow, R. W. (1997, June). The development of a land cover change model for southern Senegal. In Land Use Modeling Workshop, June.
- Kamusoko, C., Aniya, M., Adi, B., & Manjoro, M. (2009). Rural sustainability under threat in Zimbabwe–simulation of future land use/cover changes in the Bindura district based on the Markov-cellular automata model. Applied Geography, 29(3), 435-447.
- Arsanjani, J. J., Helbich, M., Kainz, W., & Boloorani, A. D. (2013). Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. International Journal of Applied Earth Observation and Geoinformation, 21, 265-275.
- Zopounidis, C., & Pardalos, P. M. (Eds.). (2010). Handbook of multicriteria analysis (Vol. 103). Springer Science & Business Media.
- Guan, D., Li, H., Inohae, T., Su, W., Nagaie, T., & Hokao, K. (2011). Modeling urban land use change by the integration of cellular automaton and Markov model. Ecological Modelling, 222(20), 3761-3772.
- Wang, L., Jin, X., Du, X., & Zhou, Y. (2012). Land use scenarios simulation of Foshan city based on gray model and cellular automata model. Transactions of the Chinese Society of Agricultural Engineering, 28(3), 237-242.
- Yuan, F. (2010). Urban growth monitoring and projection using remote sensing and geographic information systems: a case study in the twin cities metropolitan area, Minnesota. Geocarto International, 25(3), 213-230.
- He, J., Liu, Y., Yu, Y., Tang, W., Xiang, W., & Liu, D. (2013). A counterfactual scenario simulation approach for assessing the impact of farmland preservation policies on urban sprawl and food security in a major grain-producing area of China. Applied Geography, 37, 127-138.
- Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281.
- Keshavarzi, A., Sarmadian, F., Heidari, A., & Omid, M. (2010). Land suitability evaluation using fuzzy continuous classification (a case study: Ziaran region). Modern Applied Science, 4(7), 72.
- Beek, M. (2000). Fuzzy logical analysis for modelling of natural resource processes. International Archives of Photogrammetry and Remote Sensing, 33(B4/1; PART 4), 119-125.
- Zhang, J., Su, Y., Wu, J., & Liang, H. (2015). GIS based land suitability assessment for tobacco production using AHP and fuzzy set in Shandong province of China. Computers and Electronics in Agriculture, 114, 202-211.
- Moeinaddini, M., Khorasani, N., Danehkar, A., & Darvishsefat, A. A. (2010). Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj). Waste Management, 30(5), 912-920.
- Kordi, M., & Brandt, S. A. (2012). Effects of increasing fuzziness on analytic hierarchy process for spatial multicriteria decision analysis. Computers, Environment and Urban Systems, 36(1), 43-53.
- Moeinaddini, M., Khorasani, N., Danehkar, A., & Darvishsefat, A. A. (2010). Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj). Waste Management, 30(5), 912-920.
- Torfi, F., Farahani, R. Z., & Rezapour, S. (2010). Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives. Applied Soft Computing, 10(2), 520-528.
- Vettorazzi, C. A., & Valente, R. A. (2016). Priority areas for forest restoration aiming at the conservation of water resources. Ecological Engineering, 94, 255-267.
- Dağdeviren, M., & Yüksel, İ. (2008). Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management. Information Sciences, 178(6), 1717-1733.
- Lee, A. H., Kang, H. Y., & Chang, C. T. (2009). Fuzzy multiple goal programming applied to TFT-LCD supplier selection by downstream manufacturers. Expert Systems with Applications, 36(3), 6318-6325.
- Malczewski, J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in planning, 62(1), 3-65.
- de Noronha Vaz, E., Nijkamp, P., Painho, M., & Caetano, M. (2012). A multi-scenario forecast of urban change: A study on urban growth in the Algarve. Landscape and Urban Planning, 104(2), 201-211.
- Liu, Y. (2012). Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy-constrained cellular automata approach. International Journal of Geographical Information Science, 26(1), 151-167.
- Poelmans, L., & Van Rompaey, A. (2010). Complexity and performance of urban expansion models. Computers, Environment and Urban Systems, 34(1), 17-27.
- Bernasconi, M., Choirat, C., & Seri, R. (2010). The analytic hierarchy process and the theory of measurement. Management Science, 56(4), 699-711.
- Zhang, X., Dong, S., Yin, W., Li, S., & Gao, Z. (2005, August). GIS grid calculation method application in urban eco-environment assessment: a case study of Longxi County in Gansu Province, China. In Optics & Photonics 2005 (pp. 588410-588410). International Society for Optics and Photonics.
- Ying, X., Zeng, G. M., Chen, G. Q., Tang, L., Wang, K. L., & Huang, D. Y. (2007). Combining AHP with GIS in synthetic evaluation of eco-environment quality—a case study of Hunan Province, China. Ecological modelling, 209(2), 97-109.
- Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83-98.
- Pontius Jr, R. G., & Millones, M. (2011). Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing, 32(15), 4407-4429.
- Tang, K., Zhang, K., & Lei, A. (1998). Critical slope gradient for compulsory abandonment of farmland on the hilly Loess Plateau. Chinese Science Bulletin, 43(5), 409-412.
- Fu, B. J., Zhang, Q. J., Chen, L. D., Zhao, W. W., Gulinck, H., Liu, G. B., ... & Zhu, Y. G. (2006). Temporal change in land use and its relationship to slope degree and soil type in a small catchment on the Loess Plateau of China. Catena, 65(1), 41-48.
- Li, Z., Liu, W., & Zheng, F. (2013). The land use changes and its relationship with topographic factors in the Jing river catchment on the Loess Plateau of China. SpringerPlus, 2(1), 1.
- Terra, T. N., & dos Santos, R. F. (2012). Measuring cumulative effects in a fragmented landscape. Ecological Modelling, 228, 89-95.
- Briassoulis, H. (2009). Factors influencing land-use and land-cover change. Land Use, Land Cover and Soil Sciences-Volume I: Land Cover, Land Use and the Global Change, 126.
- Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., ... & Helkowski, J. H. (2005). Global consequences of land use. science, 309(5734), 570-574.
- Ramachandra, T. V., Setturu, B., & Aithal, B. H. (2012a). Peri-urban to urban landscape patterns elucidation through spatial metrics. International Journal of Engineering Research and Development, 2(12), 58-81.
- Ervin, J. (2003). Protected area assessments in perspective. BioScience, 53(9), 819-822.
- Das, A., Krishnaswamy, J., Bawa, K. S., Kiran, M. C., Srinivas, V., Kumar, N. S., & Karanth, K. U. (2006). Prioritisation of conservation areas in the Western Ghats, India. Biological Conservation, 133(1), 16-31.
- Figueroa, F., & Sánchez-Cordero, V. (2008). Effectiveness of natural protected areas to prevent land use and land cover change in Mexico. Biodiversity and Conservation, 17(13), 3223-3240.
- Payés, A. C. L. M., Pavão, T., & dos Santos, R. F. (2013). The conservation success over time: Evaluating the land use and cover change in a protected area under a long re-categorization process. Land Use Policy, 30(1), 177-185.
- Terra, T. N., dos Santos, R. F., & Costa, D. C. (2014). Land use changes in protected areas and their future: The legal effectiveness of landscape protection. Land Use Policy, 38, 378-387.
- Martinuzzi, S., Radeloff, V. C., Joppa, L. N., Hamilton, C. M., Helmers, D. P., Plantinga, A. J., & Lewis, D. J. (2015). Scenarios of future land use change around United States’ protected areas. Biological Conservation, 184, 446-455.
- Steiner, F., Blair, J., McSherry, L., Guhathakurta, S., Marruffo, J., & Holm, M. (2000). A watershed at a watershed: the potential for environmentally sensitive area protection in the upper San Pedro Drainage Basin (Mexico and USA). Landscape and urban planning, 49(3), 129-148.
- Mesta, P. N., Setturu, B., Chandran, S., Rajan, K. S., & Ramachandra, T. V. (2014). Inventorying, Mapping and Monitoring of Mangroves towards Sustainable Management of West Coast, India. Journal of Geophysics & Remote Sensing, 3(130), doi:10.4172/2169-0049.1000130.
- Ramachandra, T. V., Subash Chandran, M. D., Joshi, N. V., Pallav Julka, Uttam Kumar, Bharath, H. A., Prakash Mesta, Rao, G. R., Vishnu Mukri. (2012b). Landslide Susceptible Zone Mapping in Uttara Kannada, Central Western Ghats., ENVIS Technical Report: 28, Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore 560012.
- Muddle, D., Briggs, K., Dashwood, C., & Dijkstra, T. (2015). The influence of slope geology on landslide occurrence during extreme rainfall.
- Bhat, M., Nayak, V. N., Chandran, M. S., & Ramachandra, T. V. (2014). Impact of hydroelectric projects on finfish diversity in the Sharavathi River estuary of Uttara Kannada District, central west coast of India. International Journal of Environmental Sciences, 5(1), 58.
- Prabha, S. R., (2009) Infrastructure Development and Its Environmental Impact: Study of Konkan Railways, p.270, ISBN: 818069450X.
- Rao, G. R., Krishnakumar, G., Dudani, S. N., Chandran, M. S., & Ramachandra, T. V. (2013). Vegetation Changes along Altitudinal Gradients in Human Disturbed Forests of Uttara Kannada, Central Western Ghats. Journal of Biodiversity, 4, 61-68.
- Chandran, M. S. (1998). Shifting Cultivation, Sacred Groves and Conflicts in Colonial Forest Policy in the Western Ghats. Nature and the Orient: The environmental history of South and Southeast Asia, 674-707.
- van Schrojenstein Lantman, J., Verburg, P. H., Bregt, A., & Geertman, S. (2011). Core principles and concepts in land-use modelling: a literature review. Land-Use Modelling in Planning Practice, 101, 35.
- Voinov, A., Kolagani, N., McCall, M. K., Glynn, P. D., Kragt, M. E., Ostermann, F. O., ... & Ramu, P. (2016). Modelling with stakeholders–next generation. Environmental Modelling & Software, 77, 196-220.
- Verburg, P. H., Schot, P. P., Dijst, M. J., & Veldkamp, A. (2004). Land use change modelling: current practice and research priorities. GeoJournal, 61(4), 309-324.
- Abdullahi, S., & Pradhan, B. (2016). Sustainable brownfields land use change modeling using GIS-Based weights-of-evidence approach. Applied Spatial Analysis and Policy, 9(1), 21-38.
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Citation : T V Ramachandra, Bharath Setturua, Rajan K S and Subash Chandran M D, 2017. Modelling the Forest Transition in Central Western Whats, India. Spat. Inf. Res. (2017)25: 117–130, DOI 10.1007/s41324-017-0084-8.
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