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Original Articles

Landscape dynamics on insular environments of southeast Mediterranean Europe

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon &
Pages 1813-1832 | Received 30 Mar 2020, Accepted 01 Jun 2020, Published online: 20 Jul 2020

References

  • Agarwal C, Green GM, Grove JM, Evans TP, Schweik CM. 2002. A review and assessment of land-use change models: dynamics of space, time, and human choice. Apollo The International Magazine of Art and Antiques.
  • Almeida CM, Gleriani JM, Castejon EF, Soares-Filho BS. 2008. Using neural networks and cellular automata for modelling intra-urban land-use dynamics. Int J Geog Inf Sci. 22(9):943–963.
  • Al-Sharif AAA, Pradhan B. 2014. Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS. Arab J Geosci. 7(10):4291–4301.
  • Alvarez Martinez JM, Suarez-Seoane S, De Luis Calabuig E. 2011. Modelling the risk of land cover change from environmental and socio-economic drivers in heterogeneous and changing landscapes: The role of uncertainty. Landscape Urban Plann. 101(2):108–119.
  • Andrade L. 2015. QGIS Python Plugins “OSMDownloader”. https://github.com/icoandrade/OSMDowloader.
  • Bajocco S, Ceccarelli T, Smiraglia D, Salvati L, Ricotta C. 2016. Modeling the ecological niche of long-term land use changes: the role of biophysical factors. Ecol Indic. 60:231–236.
  • Bajocco S, De Angelis A, Perini L, Ferrara A, Salvati L. 2012. The impact of land use/land cover changes on land degradation dynamics: a Mediterranean case study. Environ Manage. 49(5):980–989.
  • Berberoğlu S, Akin A, Clarke KC. 2016. Cellular automata modeling approaches to forecast urban growth for Adana, Turkey: a comparative approach. Landscape Urban Plann. 153:11–27.
  • Berberoglu S, Lloyd CD, Atkinson PM, Curran PJ. 2000. The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean. Comput Geosci. 26(4):385–396.
  • Berling-Wolff S, Wu J. 2004. Modeling urban landscape dynamics: a review. Ecol Res. 19:119–129.
  • Blondel J. 2008. On humans and wildlife in Mediterranean islands. J Biogeogr. 35(3):509–518.
  • Blondel J, Aronson J, Bodiou J-Y, Boeuf G. 2010. The Mediterranean region: biological diversity in space and time. Oxford: Oxford University Press; p. 384.
  • Boavida-Portugal I, Rocha J, Ferreira CC. 2016. Exploring the impacts of future tourism development on land use/cover changes. Appl Geogr. 77:82–91.
  • Brown DG, Verburg PH, Pontius RG, Lange MD. 2013. Opportunities to improve impact, integration, and evaluation of land change models. Curr Opin Environ Sustainability. 5(5):452–457.
  • Bullard J. 2004. Mediterranean desertification: a mosaic of processes and responses. Geog J. 170:168.
  • Burnham BO. 1973. Markov intertemporal land use simulation model. J Agric Appl Econ. 5(1):253–258.
  • Cheng J, Masser I. 2003. Urban growth pattern modeling: A case study of Wuhan City, PR China. Landscape Urban Plann. 62(4):199–217.
  • Clarke KC, Hoppen S, Gaydos L. 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environ Plann B. 24(2):247–261.
  • Courtis P, Mylonakis J. 2008. A holistic approach of assessing and improving competitiveness in tourism: The case of Ionian Islands (Greece). Prob Perspect Manage. 6:31–37.
  • Darwiche A. 2009. Modeling and reasoning with Bayesian networks. Cambridge: Cambridge University Press.
  • Dascalaki E, Balaras CA. 2004. XENIOS - A methodology for assessing refurbishment scenarios and the potential of application of RES and RUE in hotels. Energy Build. 36(11):1091–1105.
  • De Montis A, Martín B, Ortega E, Ledda A, Serra V. 2017. Landscape fragmentation in Mediterranean Europe: A comparative approach. Land Use Policy. 64:83–94. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014031595&doi=10.1016%2Fj.landusepol.2017.02.028&partnerID=40&md5=eec0deb931b7496e869c2aef4009af98.
  • De Pascale S, Maggio A. 2005. Sustainable protected cultivation at a mediterranean climate. perspectives and challenges. Acta Hortic. 691(691):29–42.
  • Detsis V, Ntasiopoulou G, Chalkias C, Efthimiou G. 2010. Recent insular mediterranean landscape evolution: a case study on Syros, Greece. Landscape Res. 35(3):361–381.
  • Dietzel C, Clarke K. 2006. The effect of disaggregating land use categories in cellular automata during model calibration and forecasting. Comput Environ Urban Syst. 30(1):78–101.
  • Felicísimo AM, Francés E, Fernández JM, González-Díez A, Varas J. 2002. Modeling the potential distribution of forests with a GIS. Photogramm Eng Remote Sens. 68(5):455–461.
  • Florinsky IV, Kuryakova GA. 1996. Influence of topography on some vegetation cover properties. Catena. 27(2):123–141.
  • Gantumur B, Wu F, Vandansambuu B, Tsegmid B, Dalaibaatar E, Zhao Y. 2020. Spatiotemporal dynamics of urban expansion and its simulation using CA-ANN model in Ulaanbaatar, Mongolia. Geocarto Int. 1–16.
  • Geri F, Amici V, Rocchini D. 2010. Human activity impact on the heterogeneity of a Mediterranean landscape. Appl Geogr. 30(3):370–379.
  • Ghosh P, Mukhopadhyay A, Chanda A, Mondal P, Akhand A, Mukherjee S, Nayak SK, Ghosh S, Mitra D, Ghosh T, et al. 2017. Application of cellular automata and Markov-chain model in geospatial environmental modeling- a review. Remote Sens Appl: Soc Environ. 5:64–77.
  • Gounaridis D, Chorianopoulos I, Symeonakis E, Koukoulas S. 2019. A random forest-cellular automata modelling approach to explore future land use/cover change in Attica (Greece), under different socio-economic realities and scales. Sci Total Environ. 646:320–335.
  • Gounaridis D, Symeonakis E, Chorianopoulos I, Koukoulas S. 2018. Incorporating density in spatiotemporal land use/cover change patterns: The case of Attica, Greece. Remote Sens. 10(7):1034.
  • Greeuw S, van Asselt M, Grosskurth J. 2000. Cloudy crystal balls: An assessment of recent European and Global scenario studies and models. Copenhagen: European Environment Agency.
  • Hamad R, Balzter H, Kolo K. 2018. Predicting land use/land cover changes using a CA-Markov model under two different scenarios. Sustainability (Switzerland). 10(10):3421.
  • He C, Okada N, Zhang Q, Shi P, Li J. 2008. Modelling dynamic urban expansion processes incorporating a potential model with cellular automata. Landscape Urban Plann. 86(1):79–91.
  • He C, Shi P, Chen J, Li X, Pan Y, Li Jing Li Y, Li J. 2005. Developing land use scenario dynamics model by the integration of system dynamics model and cellular automata model. Sci China, Ser D: Earth Sci. 48(11):1979–1989.
  • Hellenic Statistical Authority. 2019. Demographic characterisitics. [accessed 2019 Aug]. https://www.statistics.gr.
  • Hietel E, Waldhardt R, Otte A. 2007. Statistical modeling of land-cover changes based on key socio-economic indicators. Ecol Econ. 62(3–4):496–507.
  • Hishe S, Bewket W, Nyssen J, Lyimo J. 2020. Analysing past land use land cover change and CA-Markov-based future modelling in the Middle Suluh Valley, Northern Ethiopia. Geocarto Int. 35(3):225–255.
  • Jongman R. 2002. Homogenisation and fragmentation of the European landscape: ecological consequences and solutions. Landscape Urban Plann. 58(2–4):211–221.
  • Katsafados P, Kalogirou S, Papadopoulos A, Korres G. 2012. Mapping long-term atmospheric variables over Greece. J Maps. 8(2):181–184.
  • Kefalas G, Kalogirou S, Poirazidis K, Lorilla RS. 2019. Landscape transition in Mediterranean islands: The case of Ionian islands, Greece 1985–2015. Landscape Urban Plann. 191:103641. https://linkinghub.elsevier.com/retrieve/pii/S0169204619306917.
  • Kefalas G, Poirazidis K, Xofis P, Kalogirou S. 2018. Mapping and Understanding the dynamics of landscape changes on heterogeneous Mediterranean Islands with the use of OBIA: the case of Ionian Region, Greece. Sustainability (Switzerland). 10(9):2986.
  • Kontoes C, Keramitsoglou I, Papoutsis I, Sifakis NI, Xofis P. 2013. National scale operational mapping of burnt areas as a tool for the better understanding of contemporary wildfire patterns and regimes. Sensors (Basel). 13(8):11146–11166.
  • Kosmas C, Tsara M, Moustakas N, Kosma D, Yassoglou N. 2006. Environmentally sensitive areas and indicators of desertification. In: Desertification in the Mediterranean region a security issue. Dordrecht: Springer.
  • Ku C-A. 2016. Incorporating spatial regression model into cellular automata for simulating land use change. Appl Geogr. 69:1–9. http://linkinghub.elsevier.com/retrieve/pii/S0143622816300145.
  • Lagarias A. 2012. Urban sprawl simulation linking macro-scale processes to micro-dynamics through cellular automata, an application in Thessaloniki, Greece. Appl Geogr. 34:146–160.
  • Lambin EF, Turner BL, Geist HJ, Agbola SB, Angelsen A, Bruce JW, Coomes OT, Dirzo R, Fischer G, Folke C, et al. 2001. The causes of land-use and land-cover change: moving beyond the myths. Global Environ Change. 11(4):261–269.
  • Liang X, Liu X, Li X, Chen Y, Tian H, Yao Y. 2018. Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method. Landscape Urban Plann. 177:47–63.
  • Liang X, Liu X, Li D, Zhao H, Chen G. 2018. Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model. Int J Geog Inf Sci. 32(11):2294–2316.
  • Liping C, Yujun S, Saeed S. 2018. Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China. PLoS One. 13(7):e0200493.
  • Liu X, Liang X, Li X, Xu X, Ou J, Chen Y, Li S, Wang S, Pei F. 2017. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape Urban Plann. 168:94–116.
  • Lorilla RS, Kalogirou S, Poirazidis K, Kefalas G. 2019. Identifying spatial mismatches between the supply and demand of ecosystem services to achieve a sustainable management regime in the Ionian Islands (Western Greece). Land Use Policy. 88:104171.
  • Lorilla RS, Poirazidis K, Kalogirou S, Detsis V, Martinis A. 2018. Assessment of the spatial dynamics and interactions among multiple ecosystem services to promote effective policy making across Mediterranean island landscapes. Sustainability (Switzerland). 10(9):3285.
  • Louca M, Vogiatzakis IN, Moustakas A. 2015. Modelling the combined effects of land use and climatic changes: Coupling bioclimatic modelling with Markov-chain cellular automata in a case study in Cyprus. Ecol Inf. 30:241–249.
  • Ma L, Li M, Ma X, Cheng L, Du P, Liu Y. 2017. A review of supervised object-based land-cover image classification. ISPRS J Photogramm Remote Sens. 130:277–293.
  • Martellozzo F, Amato F, Murgante B, Clarke KC. 2018. Modelling the impact of urban growth on agriculture and natural land in Italy to 2030. Appl Geogr. 91:156–167.
  • Martens D, Baesens B, Van Gestel T, Vanthienen J. 2007. Comprehensible credit scoring models using rule extraction from support vector machines. Eur J Oper Res. 183(3):1466–1476.
  • Martinez FJ. 1992. The bid-choice land-use model: an integrated economic framework. Environ Plann A. 24(6):871–885.
  • Martinis A, Minotou C, Poirazidis K. 2016. Alternative tourism at Natura 2000 areas, as a proposal for ecological restoration, protection, conservation, and sustainable development. The case study of Zakynthos and Strofades. IISA 2015 - 6th International Conference on Information, Intelligence, Systems and Applications. IEEE.
  • McGarigal, K., Cushman SA, Ene E. 2012. FRAGSTATS v4: Spatial pattern analysis program for categorical and continuous maps. computer software program produced by the authors at the University of Massachusetts, Amherst. http://www.umass.edu/landeco/research/fragstats/fragstats.html.
  • Michalena E, Hills J, Amat JP. 2009. Developing sustainable tourism, using a multicriteria analysis on renewable energy in Mediterranean Islands. Energy Sustainable Dev. 13(2):129–136.
  • Nainggolan D, Termansen M, Fleskens L, Hubacek K, Reed MS, de Vente J, Boix-Fayos C. 2012. What does the future hold for semi-arid Mediterranean agro-ecosystems? - Exploring cellular automata and agent-based trajectories of future land-use change. Appl Geogr. 35(1–2):474–490.
  • Nogués-Bravo D. 2006. Assessing the effect of environmental and anthropogenic factors on land-cover diversity in a Mediterranean mountain environment. Area. 38(4):432–444.
  • Petanidou T, Kizos T, Soulakellis N. 2008. Socioeconomic dimensions of changes in the agricultural landscape of the Mediterranean basin: a case study of the abandonment of cultivation terraces on Nisyros Island, Greece. Environ Manage. 41(2):250–266.
  • Petrov LO, Lavalle C, Kasanko M. 2009. Urban land use scenarios for a tourist region in Europe: applying the MOLAND model to Algarve, Portugal. Landscape Urban Plann. 92(1):10–23.
  • Pijanowski BC, Alexandridis KT, Müller D. 2006. Modelling urbanization patterns in two diverse regions of the world. J Land Use Sci. 1(2–4):83–108.
  • Plieninger T, Draux H, Fagerholm N, Bieling C, Bürgi M, Kizos T, Kuemmerle T, Primdahl J, Verburg PH. 2016. The driving forces of landscape change in Europe: a systematic review of the evidence. Land Use Policy. 57:204–214. https://doi.org/http://dx.doi.org/10.1016/j.landusepol.2016.04.040.
  • Poirazidis K, Chaideftou E, Martinis A, Botnzorlos V, Palyxeni G, Kalivas D. 2018. Temporal shifts in floristic and avian diversity in Mediterranean pine forest ecosystems under differ-ent fire pressures: The island of Zakynthos as a case study. Ann For Sci. 61(1):19–36.
  • Pungetti G, Marini AM, Vogiatzakis IN. 2008. Mediterranean Island landscapes: natural and cultural approaches. Berlin: Springer Science & Business Media.
  • Qiang Y, Lam N. 2015. Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata. Environ Monit Assess. 187(3):57.
  • Serra P, Pons X, Sauri D. 2008. Land-cover and land-use change in a Mediterranean landscape: a spatial analysis of driving forces integrating biophysical and human factors. Appl Geogr. 28(3):189–209.
  • Shao JA, Wei CF, Xie DT. 2006. An insight on drivers of land use change at regional scale. Chin Geographsc. 16(2):176–182.
  • Sohl TL, Sayler KL, Drummond MA, Loveland TR. 2007. The fore-sce model: a practical approach for projecting land cover change using scenario-based modeling. J Land Use Sci. 2(2):103–126.
  • Tang J, Wang L, Yao Z. 2007. Spatio-temporal urban landscape change analysis using the Markov chain model and a modified genetic algorithm. Int J Remote Sens. 28(15):3255–3271.
  • Troupin D, Carmel Y. 2016. Landscape patterns of development under two alternative scenarios: Implications for conservation. Land Use Policy. 54:221–234. https://doi.org/http://dx.doi.org/10.1016/j.landusepol.2016.02.008.
  • Tzanopoulos J, Vogiatzakis IN. 2011. Processes and patterns of landscape change on a small Aegean island: The case of Sifnos, Greece. Landscape Urban Plann. 99(1):58–64.
  • Van Asselen S, Verburg PH. 2013. Land cover change or land-use intensification: simulating land system change with a global-scale land change model. Glob Chang Biol. 19(12):3648–3667.
  • van Vliet J, de Groot HLF, Rietveld P, Verburg PH. 2015. Manifestations and underlying drivers of agricultural land use change in Europe. Landscape Urban Plann. 133:24–36.
  • Verburg PH, Dearing JA, Dyke JG, Leeuw S. v d, Seitzinger S, Steffen W, Syvitski J. 2016. Methods and approaches to modelling the Anthropocene. Global Environ Change. 39:328–340.
  • Verburg PH, Overmars KP. 2009. Combining top-down and bottom-up dynamics in land use modeling: Exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model. Landscape Ecol. 24(9):1167–1181.
  • Verburg PH, Soepboer W, Veldkamp A, Limpiada R, Espaldon V, Mastura S. 2002. Modeling the spatial dynamics of regional land use: the CLUE-S model. Environ Manage. 30(3):391–405.
  • Vogiatzakis I, Mannion AM, Pungetti G. 2008. Introduction to the Mediterranean Island landscapes. In: Mediterranean Island landscapes. Dordrecht: Springer; p. 3–14 (Landscape series; vol. 9).
  • Wallentin G. 2017. Spatial simulation: A spatial perspective on individual-based ecology—a review. Ecol Modell. 350:30–41.
  • Ward DP, Murray AT, Phinn SR. 2000. A stochastically constrained cellular model of urban growth. Comput Environ Urban Syst. 24(6):539–558.
  • White R, Engelen G. 2000. High-resolution integrated modelling of the spatial dynamics of urban and regional systems. Comput Environ Urban Syst. 24(5):383–400.
  • Wu F, Martin D. 2002. Urban expansion simulation of Southeast England using population surface modelling and cellular automata. Environ Plann A. 34(10):1855–1876.
  • Wu F, Webster CJ. 1998. Simulation of land development through the integration of cellular automata and multicriteria evaluation. Environ Plann B. 25(1):103–126.
  • Yadav V, Ghosh SK. 2019. Assessment and prediction of urban growth for a mega-city using CA-Markov model. Geocarto Int: 1–33.
  • Yang Q, Li X, Shi X. 2008. Cellular automata for simulating land use changes based on support vector machines. Comput Geosci. 34(6):592–602.
  • Zalidis G, Stamatiadis S, Takavakoglou V, Eskridge K, Misopolinos N. 2002. Impacts of agricultural practices on soil and water quality in the Mediterranean region and proposed assessment methodology. Agric Ecosyst Environ. 88(2):137–146.
  • Zomeni M, Tzanopoulos J, Pantis JD. 2008. Historical analysis of landscape change using remote sensing techniques: an explanatory tool for agricultural transformation in Greek rural areas. Landscape Urban Plann. 86(1):38–46.

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