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Assessment of Land - Use Change Effects on Future Beekeeping Suitability Via CA-Markov Prediction Model

   | 16 sie 2020

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Abou-Shaara, H.F., Al-Ghamdi, A.A., & Mohamed A.A. (2013). A Suitability Map for Keeping Honey Bees Under Harsh Environmental Conditions Using Geographical Information System. World Applied Sciences Journal, 22, 1099–1105. DOI: 10.5829/idosi.wasj.2013.22.08.7384Abou-ShaaraH.F.Al-GhamdiA.A.MohamedA.A.2013A Suitability Map for Keeping Honey Bees Under Harsh Environmental Conditions Using Geographical Information SystemWorld Applied Sciences Journal221099110510.5829/idosi.wasj.2013.22.08.7384Open DOISearch in Google Scholar

Agarwal, C., Green, G.M., Grove, J.M., Evans, T.P., Schweik, C.M. (2002). A review and assessment of land-use change models: dynamics of space, time, and human choice, Gen. Tech. Rep. NE-297, U.S. Department of Agriculture, Forest Service, Northeastern Research Station. Newtown Square, PA. p 61.AgarwalC.GreenG.M.GroveJ.M.EvansT.P.SchweikC.M.2002A review and assessment of land-use change models: dynamics of space, time, and human choice, Gen. Tech. Rep. NE-297U.S. Department of Agriculture, Forest Service, Northeastern Research StationNewtown Square, PA6110.2737/NE-GTR-297Search in Google Scholar

Aizen, M.A., Garibaldi, L.A., Cunningham, S.A., & Klein, A.M. (2009). How much does agriculture depend on pollinators? Lessons from long-term trends in crop production. Annals of Botany, 103(9), 1579–1588. DOI: 10.1093/aob/mcp076AizenM.A.GaribaldiL.A.CunninghamS.A.KleinA.M.2009How much does agriculture depend on pollinators? Lessons from long-term trends in crop productionAnnals of Botany10391579158810.1093/aob/mcp076270176119339297Open DOISearch in Google Scholar

Amiri, F., & Shariff, M.A. (2012). Application of geographic information systems in land use suitability evaluation for beekeeping: A case study of Vahregan watershed (Iran). African Journal of Agricultural Research, 7(1), 89–97. DOI:10.5897/AJAR10.1037AmiriF.ShariffM.A.2012Application of geographic information systems in land use suitability evaluation for beekeeping: A case study of Vahregan watershed (Iran)African Journal of Agricultural Research71899710.5897/AJAR10.1037Open DOISearch in Google Scholar

Baker, W.L. (1989). A review of models of landscape change. Landscape Ecology, 2, 111–133BakerW.L.1989A review of models of landscape changeLandscape Ecology211113310.1007/BF00137155Search in Google Scholar

Camargo, S.C., Garcia, R.C., Feiden, A., Vasconcelos, E.S., Pires., B.G. ... Pereira, D., J. (2014). Implementation of a geographic information system (GIS) for the planning of beekeeping in the west region of Paraná. Annals of the Brazilian Academy of Sciences, 86(2), 955–971. http://dx.doi.org/10.1590/0001-3765201420130278CamargoS.C.GarciaR.C.FeidenA.VasconcelosE.S.PiresB.G.PereiraD. J.2014Implementation of a geographic information system (GIS) for the planning of beekeeping in the west region of ParanáAnnals of the Brazilian Academy of Sciences862955971http://dx.doi.org/10.1590/0001-376520142013027810.1590/0001-3765201420130278Search in Google Scholar

Damián, G.C. (2016). GIS-based optimal localisation of beekeeping in rural Kenya Master degree thesis, 30/credits in Master in Geographical Information Sciences Department of Physical Geography and Ecosystems Science, Lund UniversityDamiánG.C.2016GIS-based optimal localisation of beekeeping in rural Kenya Master degree thesis, 30/credits in Master in Geographical Information Sciences Department of Physical Geography and Ecosystems ScienceLund UniversitySearch in Google Scholar

Eastman, J.R. (2009). IDRISI guide to GIS and image processing Accessed in IDRISI Selva 17 (pp. 182–185). Worcester, MA: Clark University.EastmanJ.R.2009IDRISI guide to GIS and image processing Accessed in IDRISI Selva 17182185Worcester, MAClark UniversitySearch in Google Scholar

Estoque, R.C., & Murayama, Y. (2010). Suitability Analysis for Beekeeping Sites in La Union, Philippines, Using GIS and Multi-Criteria Evaluation Techniques. Research Journal of Applied Sciences, 5(3), 242–253. DOI: 10.3923/rjasci.2010.242.253EstoqueR.C.MurayamaY.2010Suitability Analysis for Beekeeping Sites in La Union, Philippines, Using GIS and Multi-Criteria Evaluation TechniquesResearch Journal of Applied Sciences5324225310.3923/rjasci.2010.242.253Open DOISearch in Google Scholar

Estoque, R.C., & Murayama, Y. (2011). Suitability Analysis for Beekeeping Sites Integrating GIS & MCE Techniques. Spatial Analysis and Modeling in Geographical Transformation Process. 978-94-007-0670-5. Springer Netherlands.EstoqueR.C.MurayamaY.2011Suitability Analysis for Beekeeping Sites Integrating GIS & MCE TechniquesSpatial Analysis and Modeling in Geographical Transformation Process978-94-007-0670-5.SpringerNetherlands10.1007/978-94-007-0671-2_13Search in Google Scholar

Fernandez, P., Roque, N., & Anjos, O. (2016). Spatial multicriteria decision analysis to potential beekeeping assessment. Case study: Montesinho Natural Park (Portugal). In: Sarjakoski, T., Santos, M.Y., Sarjakoski, L.T. (Eds.), 19th AGILE International Conference on Geographic Information Science - Geospatial Data in a Changing World, Helsinki, Finland.FernandezP.RoqueN.AnjosO.2016Spatial multicriteria decision analysis to potential beekeeping assessment. Case study: Montesinho Natural Park (Portugal)In:SarjakoskiT.SantosM.Y.SarjakoskiL.T.(Eds.),19th AGILE International Conference on Geographic Information Science - Geospatial Data in a Changing WorldHelsinki, FinlandSearch in Google Scholar

Gagniuc, P.A. (2017). Markov Chains: From Theory to Implementation and Experimentation. USA, NJ: John Wiley & Sons. pp. 1–235. ISBN 978-1-119-38755-8.GagniucP.A.2017Markov Chains: From Theory to Implementation and ExperimentationUSA, NJJohn Wiley & Sons1235ISBN 978-1-119-38755-810.1002/9781119387596Search in Google Scholar

Goulson, D., Nicholls, E., Botías, C., & Rotheray, E.L. (2015). Bee declines driven by combined stress from parasites, pesticides, and lack of flowers. Science, 347(6229),1255957. DOI: 10.1126/science.1255957GoulsonD.NichollsE.BotíasC.RotherayE.L.2015Bee declines driven by combined stress from parasites, pesticides, and lack of flowersScience3476229125595710.1126/science.125595725721506Open DOISearch in Google Scholar

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, 3761–3772. https://doi.org/10.1016/j.ecolmodel.2011.09.009GuanD.LiH.InohaeT.SuW.NagaieT.HokaoK.2011Modeling urban land use change by the integration of cellular automaton and Markov modelEcological Modelling22237613772https://doi.org/10.1016/j.ecolmodel.2011.09.00910.1016/j.ecolmodel.2011.09.009Search in Google Scholar

Halmy, M.W., Gessler, P.E., Hicke, J.A., & Salem, B.B. (2015). Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA. Applied Geography, 63, 101–112. https://doi.org/10.1016/j.apgeog.2015.06.015HalmyM.W.GesslerP.E.HickeJ.A.SalemB.B.2015Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CAApplied Geography63101112https://doi.org/10.1016/j.apgeog.2015.06.01510.1016/j.apgeog.2015.06.015Search in Google Scholar

He, C.Y., Okada, N., Zhang, Q.F., Shi, P.J., Li, J.G. (2008). Modelling dynamic urban expansion processes incorporating a potential model with cellular automata. Landscape Urban Planning, 86, 79–91. https://doi.org/10.1016/j.landurbplan.2007.12.010HeC.Y.OkadaN.ZhangQ.F.ShiP.J.LiJ.G.2008Modelling dynamic urban expansion processes incorporating a potential model with cellular automataLandscape Urban Planning867991https://doi.org/10.1016/j.landurbplan.2007.12.01010.1016/j.landurbplan.2007.12.010Search in Google Scholar

Huang, W., Liu, H., Luan, Q., Jiang, Q., Liu, J., Liu, H. (2008). Detection and prediction of land use change in Beijing based on remote sensing and GIS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII, 75–82.HuangW.LiuH.LuanQ.JiangQ.LiuJ.LiuH.2008Detection and prediction of land use change in Beijing based on remote sensing and GISThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesXXXVII7582Search in Google Scholar

Lambin, E.F. (1997). Modeling and Monitoring Land-Cover Change Processes in Tropical Regions. Progress in Physical Geography, 21, 375–393. https://doi.org/10.1177/030913339702100303LambinE.F.1997Modeling and Monitoring Land-Cover Change Processes in Tropical RegionsProgress in Physical Geography21375393https://doi.org/10.1177/03091333970210030310.1177/030913339702100303Search in Google Scholar

Maris, N., Mansor, S., & Shafri, H. (2008). Apicultural Site Zonation Using GIS and MultiCriteria Decision Analysis. Journal of Tropical Agricultural Science, 31(2), 147–162.MarisN.MansorS.ShafriH.2008Apicultural Site Zonation Using GIS and MultiCriteria Decision AnalysisJournal of Tropical Agricultural Science312147162Search in Google Scholar

Miguel, S., Pukkala, T., & Yeşil, A. (2014). Integrating pine honeydew honey production into forest management optimization. European Journal of Forest Research, 133 (3), 423–432. DOI: 10.1007/s10342-013-0774-2MiguelS.PukkalaT.YeşilA.2014Integrating pine honeydew honey production into forest management optimizationEuropean Journal of Forest Research133342343210.1007/s10342-013-0774-2Open DOISearch in Google Scholar

Mondal, S., Sharma, N., Garg, P.K., & Kappas, M. (2016). Statistical independence test and validation of CA Markov land use land cover (LULC) prediction results. The Egyptian Journal of Remote Sensing and Space Sciences, 19, 259–272. https://doi.org/10.1016/j.ejrs.2016.08.001MondalS.SharmaN.GargP.K.KappasM.2016Statistical independence test and validation of CA Markov land use land cover (LULC) prediction resultsThe Egyptian Journal of Remote Sensing and Space Sciences19259272https://doi.org/10.1016/j.ejrs.2016.08.00110.1016/j.ejrs.2016.08.001Search in Google Scholar

Muller, M.R., & Middleton, J. (1994). A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada. Landscape Ecology, 9, 151–157.MullerM.R.MiddletonJ.1994A Markov model of land-use change dynamics in the Niagara Region, Ontario, CanadaLandscape Ecology915115710.1007/BF00124382Search in Google Scholar

Oldroyd, P.B., & Nanork, P. (2009). Conservation of Asian honey-bees- Apidologie Bee Conservation, 40, 296–312. https://doi.org/10.1051/apido/2009021OldroydP.B.NanorkP.2009Conservation of Asian honey-bees-Apidologie Bee Conservation40296312https://doi.org/10.1051/apido/200902110.1051/apido/2009021Search in Google Scholar

Otto, C.R.V., Roth, C.L., Carlson, B.L., & Smart, M.D. (2016). Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains. PNAS, 113(37), 10430–10435. https://doi.org/10.1073/pnas.1603481113OttoC.R.V.RothC.L.CarlsonB.L.SmartM.D.2016Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great PlainsPNAS113371043010435https://doi.org/10.1073/pnas.160348111310.1073/pnas.1603481113502744227573824Search in Google Scholar

Parker, D.C., Manson, S.M., Janssen, M.A., Hoffmann, M.J., Deadman, P. (2003). Multi agent systems for the simulation of land-use and land-cover change: a review, Annals of the Association of American Geographers, 93, 314–337. https://doi.org/10.1111/1467-8306.9302004ParkerD.C.MansonS.M.JanssenM.A.HoffmannM.J.DeadmanP.2003Multi agent systems for the simulation of land-use and land-cover change: a reviewAnnals of the Association of American Geographers93314337https://doi.org/10.1111/1467-8306.930200410.1111/1467-8306.9302004Search in Google Scholar

Pontius, J.R.G., & Malanson, J. (2005). Comparison of the structure and accuracy of two land change models. International Journal of Geographical Information Sciences, 19 (2), 243–265. https://doi.org/10.1080/13658810410001713434PontiusJ.R.G.MalansonJ.2005Comparison of the structure and accuracy of two land change modelsInternational Journal of Geographical Information Sciences192243265https://doi.org/10.1080/1365881041000171343410.1080/13658810410001713434Search in Google Scholar

Spivak, M., Mader, E., Vaughan, M., & Euliss, N.H. (2011). The plight of the bees. Environmental Science Technology, 45(1), 34–38. https://doi.org/10.1021/es101468wSpivakM.MaderE.VaughanM.EulissN.H.2011The plight of the beesEnvironmental Science Technology4513438https://doi.org/10.1021/es101468w10.1021/es101468wSearch in Google Scholar

Subedi, P., Subedi, K., & Thapa, B., (2013). Application of a Hybrid Cellular Automaton – Markov (CA-Markov) Model in Land-Use Change Prediction: A Case Study of Saddle Creek Drainage Basin, Florida. Applied Ecology and Environmental Sciences, 1(6), 126–132. DOI: 10.12691/aees-1-6-5SubediP.SubediK.ThapaB.2013Application of a Hybrid Cellular Automaton – Markov (CA-Markov) Model in Land-Use Change Prediction: A Case Study of Saddle Creek Drainage Basin, FloridaApplied Ecology and Environmental Sciences1612613210.12691/aees-1-6-5Open DOISearch in Google Scholar

Saaty, T.L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234–281.SaatyT.L.1977A scaling method for priorities in hierarchical structuresJournal of Mathematical Psychology1523428110.1016/0022-2496(77)90033-5Search in Google Scholar

Saaty, T.L. (1980). The analytical hierarchy process. New York: Wiley.SaatyT.L.1980The analytical hierarchy processNew YorkWiley10.21236/ADA214804Search in Google Scholar

Saaty, T.L. (1994). Fundamentals of Decision Making and Priority Theory With The Analytical Hierarchy Process, RWS Publ. Pittsburg, 69–84.SaatyT.L.1994Fundamentals of Decision Making and Priority Theory With The Analytical Hierarchy ProcessRWS Publ.Pittsburg6984Search in Google Scholar

Saaty, T.L. (2001). Decision Making with Dependence and Feedback: The Analytic Network Process, 2nd edition, PRWS Publications, Pittsburgh PA.SaatyT.L.2001Decision Making with Dependence and Feedback: The Analytic Network Process2nd editionPRWS PublicationsPittsburgh PASearch in Google Scholar

Saaty, T.L., & Vargas, LG. (1991). Prediction, Projection and Forecasting. Kluwer Academic Publishers, Dordrecht, 25.SaatyT.L.VargasLG.1991Prediction, Projection and ForecastingKluwer Academic PublishersDordrecht2510.1007/978-94-015-7952-0Search in Google Scholar

Sala, O.E., Chapin, F.S., Armesto, J.J., Berlow, E., Bloomfield, J., Dirzo, R., ... Wall, D. H. (2000). Global biodiversity scenarios for the year 2100. Science, 287(5459), 1770–1774. DOI: 10.1126/science.287.5459.1770SalaO.E.ChapinF.S.ArmestoJ.J.BerlowE.BloomfieldJ.DirzoR.WallD. H.2000Global biodiversity scenarios for the year 2100Science28754591770177410.1126/science.287.5459.177010710299Open DOISearch in Google Scholar

Sklar, F.H., & Costanza, R. (1991). The development of dynamic spatial models for landscape ecology: a review and prognosis. In M. G. Turner, & R. H. Gardner (Eds.), Ecological studies: Vol. 82. Quantitative methods in landscape Ecology (pp. 239–288). Berlin: Springer.SklarF.H.CostanzaR.1991The development of dynamic spatial models for landscape ecology: a review and prognosisInTurnerM. G.GardnerR. H.(Eds.),Ecological studies82Quantitative methods in landscape Ecology239288BerlinSpringer10.1007/978-1-4757-4244-2_10Search in Google Scholar

Thomas, H., & Laurence, H.M. (2006). Modeling and projecting land-use and land-cover changes with a cellular automaton in considering landscape trajectories: An improvement for simulation of plausible future states; EARSeL eProc. 5 63–76.ThomasH.LaurenceH.M.2006Modeling and projecting land-use and land-cover changes with a cellular automaton in considering landscape trajectories: An improvement for simulation of plausible future statesEARSeL eProc.56376Search in Google Scholar

Wang, SQ., Zheng, XQ., Zang, XB. (2012). Accuracy assessments of land use change simulation based on Markov-cellular automata model. Procedia Environmental Sciences, 13, 1238 – 1245. https://doi.org/10.1016/j.proenv.2012.01.117WangSQ.ZhengXQ.ZangXB.2012Accuracy assessments of land use change simulation based on Markov-cellular automata modelProcedia Environmental Sciences1312381245https://doi.org/10.1016/j.proenv.2012.01.11710.1016/j.proenv.2012.01.117Search in Google Scholar

Wu, F., (2002). Calibration of stochastic cellular automata: the application to rural–urban land conversions. International Journal of Geographical Information Sciences, 16, 795–818. https://doi.org/10.1080/13658810210157769WuF.2002Calibration of stochastic cellular automata: the application to rural–urban land conversionsInternational Journal of Geographical Information Sciences16795818https://doi.org/10.1080/1365881021015776910.1080/13658810210157769Search in Google Scholar

Vanbergen, A.J., & the Insect Pollinators Initiative (2013). Threats to an ecosystem service: Pressures on pollinators. Frontiers in Ecology and the Environment, 11(5), 251–259. https://doi.org/10.1890/120126VanbergenA.J.the Insect Pollinators Initiative2013Threats to an ecosystem service: Pressures on pollinatorsFrontiers in Ecology and the Environment115251259https://doi.org/10.1890/12012610.1890/120126Search in Google Scholar

Ye, B., & Bai, Z. (2008). Simulating land use/cover changes of Nenjiang County based on CA-Markov model. International Federation for Information Processing Publications IFIP, 258, 321–330.YeB.BaiZ.2008Simulating land use/cover changes of Nenjiang County based on CA-Markov modelInternational Federation for Information Processing Publications IFIP25832133010.1007/978-0-387-77251-6_35Search in Google Scholar

Zoccali, P., Malacrinò, A., Campolo, O., Laudani, F., Algeri, G.M., Giunti, G., ... Palmeri, V. (2017). A novel GIS-based approach to assess beekeeping suitability of Mediterranean lands. Saudi Journal of Biological Sciences, 24(5), 1045–1050. https://doi.org/10.1016/j.sjbs.2017.01.062ZoccaliP.MalacrinòA.CampoloO.LaudaniF.AlgeriG.M.GiuntiG.PalmeriV.2017A novel GIS-based approach to assess beekeeping suitability of Mediterranean landsSaudi Journal of Biological Sciences24510451050https://doi.org/10.1016/j.sjbs.2017.01.06210.1016/j.sjbs.2017.01.062547836528663702Search in Google Scholar

URL1, Turkey Governmental Forest Statistics https://www.ogm.gov.tr/lang/en/Pages/Forests/StatisticalInfo.aspx (Accessed, 17.11.2018)URL1, Turkey Governmental Forest Statisticshttps://www.ogm.gov.tr/lang/en/Pages/Forests/StatisticalInfo.aspx (Accessed, 17.11.2018)Search in Google Scholar

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