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ALANSAL DAĞILIM ÖZELLİĞİ GÖSTEREN İKLİM PARAMETRELERİNİN COĞRAFİ BİLGİ SİSTEMLERİİLE BELİRLENMESİ VE KULLANIM ALANLARI; GENEL BİR BAKIŞ

Yıl 2007, Cilt: 22 Sayı: 3, 322 - 328, 31.12.2007

Öz

Günümüzde hidroloji, tarım, ekoloji, orman yönetimi, meteoroloji vb. birçok farklı disiplinde yürütülen
çalışmalarda değişik iklim parametreleri kullanılmaktadır. Doğru iklimsel veriler ancak noktasal olarak, meteoroloji
gözlem istasyonlarının bulunduğu yerlerden elde edilebilmektedir. Oysaki birçok çalışmada alansal dağılım özelliği gösteren iklim parametrelerine ihtiyaç duyulmaktadır. Bu yüzden günümüzde, noktasal gözlem değerlerinden
faydalanarak alansal dağılım özelliği gösteren iklim veri katmanlarının üretilmesine yönelik ihtiyaç ve ilgi giderek artış
göstermektedir. Konumsal veri tabanı uygulamalarının vazgeçilmez bir parçası olan Coğrafi Bilgi Sistemlerinin (CBS)
iklim çalışmalarında kullanılması kaçınılmaz bir hal almıştır. Bu çalışmada, giderek artan talepler karşısında alansal
dağılım özelliği gösteren iklim veri katmanlarının CBS kapsamında üretilmesine ve kullanım imkanlarına genel bir bakış getirilmeye çalışılmıştır.

Kaynakça

  • Anderson, S., 2003. An evaluation of spatial interpolation methods on air temperature in Phoenix,AZ. URL: http://www.cobblestoneconcepts.com/ ucgis2summer/anderson/anderson.htm
  • Antonici, O., Krizan, J., Marki, A., Bukovec, D., 2001. Spatio-temporal interpolation of climatic variables over large region of complex terrain using neural networks. Ecological Modelling, 138: 255–263.
  • Benjamin, M.T., Sudol, M., Vorsatz, D., Winer, A.M., 1997. A spatially and temporally resolved biogenic hydrocarbon emissions inventory for the California South Coast Air Basin. Atmospheric Environment 31: 3087-3100
  • Bhan, S.K., Saha, S.K., Pande, L.M., Prasad, J., 1997. Use of remote sensing and GIS technology in sustainable agricultural management and development, India Institite of Remote Sensing, India.
  • Birnie, R.V., Miller, D.R., Horne, P.L., Leadbeater, S., Macdonald, A., 2000. The potential distribution and impact of bracken in upland Scotland: An assessment using a GIS-based niche model. Annals of Botany. 85: 53-62
  • Bissonnais, Y.L., Montier, C., Jamagne, M., Daroussin, J., King, D., 2001. Mapping erosion risk for cultivated soil in France. Catena . 46: 207–220.
  • Blackie, J.R., Simpson, T.K.M., 1993. Climate variability within the Balquhidder catchments and its effect on Penman potantial evaporation. Journal of Hydrology. 145: 371-387.
  • Boag, B., Jones, H.D., Evans, K.A., Neilson, R., Yeates, G.W., Johns, P.M., 1998. The application of GIS techniques to estimate the establishment and potential spread of Artioposthia triangulata in Scotland. Pedobiologia, 42: 504-510
  • Box, E.O., Crumpacker, D.W., Hardin, E.D., 1993. A climatic model for location of plant species in Florida, USA. Journal of Biogeography, 20: 629–644.
  • Boyles, R.P., Raman,S., 2003. Analysis of climate trends in North Carolina (1949–1998). Environment International, 29: 263– 275.
  • Brewer, M.J., Mather, T.N., Mather, J.R., 2003. Using climate predictions in tick-borne disease risk modelling. URL: www.ofps.ucar.edu/joss_psg/meetings/cpa-wkshp.
  • Caldiz, D.O., Gaspari, F.J., Haverkort, A.J., Struik,P.C., 2001. Agro-ecological zoning and potential yield of single or double cropping of potato in Argentina. Agricultural and Forest Meteorology, 109: 311–320
  • Çetin, M., Topaloğlu, F., Tülücü, K., 1999. Doğu Akdeniz bölgesinde aylık alansal yağışların jeoistatistiksel yöntemle saptanması ve stokastik olarak modellenmesi. Turkish Journal of Agriculture and Foresty, 23, 691-698.
  • Dalezios, N.R., Loukas, A., Bampzelis, D., 2002. Spatila variabity of reference evapotranspiration in Greece. Physics and Chemistry of Earth, 27: 1031-1038.
  • Daly, C., Neilson, R.P., Phillips,D., 1994. A Statisticaltopographical model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology, 33(2): 140-158.
  • Daly, C., Gibson, W.P., Taylor, G.H., Johnson, G. L., Pasteris, P., 2002. A knowledge-based approach to the statistical mapping of climate. Climate Research, 22: 99113.
  • Diodato, N., Ceccarelli, M., 2005. Interpolation processes using multivariate geostatistics for mapping of climatological precipitation mean in the Sannio Mountains (Southern Italy). Earth Surface Processes and Landforms, 30: 259–268.
  • Dodson, R., Marks, D., 1997. Daily air temperature interpolated at high spatial resolution over a large mountainous region. Climate Research, 8:1–20.
  • Dolman, A.J., 1992. A note on areally-averaged evaporation and the value of the effective surface conductance. Journal of Hydrology, 138: 583-589.
  • ESRI, 2004. Using Arcview GIS. Environmental System Research Institute.Inc. Redlans, California.
  • FAO and BARC, 1998. Geographic Information Systems and Agroecological zones database for agricultural development in Bangladesh, Bangladesh Agricultural Research Council (BARC),Dhaka/Bangladesh, URL: http://www.fao.org/landandwater/agll/bgdlris /index.
  • Franklin, J., 1998. Predicting the distribution of shrub species in southern California from climate and terrainderived variables. Journal of Vegetation Science, 9: 733748
  • Fu, P., Rich, P.M., 2002. A geometric solar radiation model with applications in agriculture and forestry. Computers and Electronics in Agriculture, 37, 25-35.
  • Garen, D.C., Johnson, G.L., Hanson, C.L., 1994. Mean areal precipitation for daily hydrologic modeling in mountainous terrain. Water Resource Bulletin, 30: 481491.
  • Gignac, L.D., Vitt, D.H., Bayley, S.E., 1991. Bryophyte response surfaces along ecological and climatic gradients. Vegetation, 93:29–45.
  • Goodale, C.L., Aber, J.D. & Ollinger, S.V., 1998. Mapping monthly precipitation, temperature, and solar radiation for Ireland with polynomial regression and a digital elevation model. Climate Research, 10: 35–49.
  • Goovaerts, P., 1999. Using elevation to aid the geostatistical mapping of rainfall erosivity. Catena, 34: 227–242.
  • Goovaerts, P., 2000. Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of Hydrology, 228:113-129.
  • Greene, S.L., Hart, T.C., Afonin, A., 1999. Using Geographic Information to acquire wild crop germplasm for ex situ collections: I. Map development and field use. Crop Science, 39,836-842.
  • Guisan, A., Theurillat, J.P., 2000. Equilibrium modelling of alpine plant distribution: how far can we go? Hytocoenologia, 30: 353-384.
  • Güler, M., 2003. Bafra ve Çarşamba Ovalarının Coğrafi Bilgi Sistemleri (CBS) kullanılarak agroekolojik zonlarının çıkarılması ve sulama açısından değerlendirilmesi. Yüksek Lisans Tezi, Ondokuz Mayıs Üniversitesi Fen Bilimleri Enstitüsü, Samsun.
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  • Loh, K.F., Surip, N. and Hashim, S.A., 1998. Agroecological Zoning for Southwest Selangor using Remote Sensing and Geographic Information System. Malaysian Centre for Remote Sensing (MACRES). URL: http://www.gisdevelopment.net/ application/agriculture/overview/index.
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  • Malonea, J.B., Gommesb, R., Hansenb, J., Yilmac, J.M., Slingenbergb, J., Snijdersb, F., Nachtergaeleb, F., Atamanb, E., 1998. A geographic information system on the potential distribution and abundance of Fasciola hepatica and Fasciola gigantica in east Africa based on Food and Agriculture Organization databases. Veterinary Parasitology, 78: 87-101.
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  • Mati, B.M., Morgan, R.P.C., Gichuk, F.N., Quintor, J.N., Brewer, T.R., Liniger, H.P., 2000. Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng’iro North basin of Kenya. JAG. 2:2.
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  • Reinke, K., Butcher, E.C., Russell, C.J., Nicholls, D.G., Murray, M.D., 1998. Understanding the flight movements of a non-breeding wandering albatross, Diomedea exulans gibsoni, using a geographic information system. Australian Journal of Zoology, 46: 171-181.
  • Rice, M., Pedigo, L., Lefko, S., 1999. Defining Wireworm risk with GIS. Iowa State University, Extension Service Press. USA. URL: http://www.ipm.iastate. edu.ipm.icm/1999/4-19-1999/wwgis.html
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ALANSAL DAĞILIM ÖZELLİĞİ GÖSTEREN İKLİM PARAMETRELERİNİN COĞRAFİ BİLGİ SİSTEMLERİ İLE BELİRLENMESİ VE KULLANIM ALANLARI; GENEL BİR BAKIŞ

Yıl 2007, Cilt: 22 Sayı: 3, 322 - 328, 31.12.2007

Öz

Günümüzde hidroloji, tarım, ekoloji, orman yönetimi, meteoroloji vb. birçok farklı disiplinde yürütülen çalışmalarda değişik iklim parametreleri kullanılmaktadır. Doğru iklimsel veriler ancak noktasal olarak, meteoroloji gözlem istasyonlarının bulunduğu yerlerden elde edilebilmektedir. Oysaki birçok çalışmada alansal dağılım özelliği gösteren iklim parametrelerine ihtiyaç duyulmaktadır. Bu yüzden günümüzde, noktasal gözlem değerlerinden faydalanarak alansal dağılım özelliği gösteren iklim veri katmanlarının üretilmesine yönelik ihtiyaç ve ilgi giderek artış göstermektedir. Konumsal veri tabanı uygulamalarının vazgeçilmez bir parçası olan Coğrafi Bilgi Sistemlerinin (CBS) iklim çalışmalarında kullanılması kaçınılmaz bir hal almıştır. Bu çalışmada, giderek artan talepler karşısında alansal dağılım özelliği gösteren iklim veri katmanlarının CBS kapsamında üretilmesine ve kullanım imkanlarına genel bir bakış getirilmeye çalışılmıştır

Kaynakça

  • Anderson, S., 2003. An evaluation of spatial interpolation methods on air temperature in Phoenix,AZ. URL: http://www.cobblestoneconcepts.com/ ucgis2summer/anderson/anderson.htm
  • Antonici, O., Krizan, J., Marki, A., Bukovec, D., 2001. Spatio-temporal interpolation of climatic variables over large region of complex terrain using neural networks. Ecological Modelling, 138: 255–263.
  • Benjamin, M.T., Sudol, M., Vorsatz, D., Winer, A.M., 1997. A spatially and temporally resolved biogenic hydrocarbon emissions inventory for the California South Coast Air Basin. Atmospheric Environment 31: 3087-3100
  • Bhan, S.K., Saha, S.K., Pande, L.M., Prasad, J., 1997. Use of remote sensing and GIS technology in sustainable agricultural management and development, India Institite of Remote Sensing, India.
  • Birnie, R.V., Miller, D.R., Horne, P.L., Leadbeater, S., Macdonald, A., 2000. The potential distribution and impact of bracken in upland Scotland: An assessment using a GIS-based niche model. Annals of Botany. 85: 53-62
  • Bissonnais, Y.L., Montier, C., Jamagne, M., Daroussin, J., King, D., 2001. Mapping erosion risk for cultivated soil in France. Catena . 46: 207–220.
  • Blackie, J.R., Simpson, T.K.M., 1993. Climate variability within the Balquhidder catchments and its effect on Penman potantial evaporation. Journal of Hydrology. 145: 371-387.
  • Boag, B., Jones, H.D., Evans, K.A., Neilson, R., Yeates, G.W., Johns, P.M., 1998. The application of GIS techniques to estimate the establishment and potential spread of Artioposthia triangulata in Scotland. Pedobiologia, 42: 504-510
  • Box, E.O., Crumpacker, D.W., Hardin, E.D., 1993. A climatic model for location of plant species in Florida, USA. Journal of Biogeography, 20: 629–644.
  • Boyles, R.P., Raman,S., 2003. Analysis of climate trends in North Carolina (1949–1998). Environment International, 29: 263– 275.
  • Brewer, M.J., Mather, T.N., Mather, J.R., 2003. Using climate predictions in tick-borne disease risk modelling. URL: www.ofps.ucar.edu/joss_psg/meetings/cpa-wkshp.
  • Caldiz, D.O., Gaspari, F.J., Haverkort, A.J., Struik,P.C., 2001. Agro-ecological zoning and potential yield of single or double cropping of potato in Argentina. Agricultural and Forest Meteorology, 109: 311–320
  • Çetin, M., Topaloğlu, F., Tülücü, K., 1999. Doğu Akdeniz bölgesinde aylık alansal yağışların jeoistatistiksel yöntemle saptanması ve stokastik olarak modellenmesi. Turkish Journal of Agriculture and Foresty, 23, 691-698.
  • Dalezios, N.R., Loukas, A., Bampzelis, D., 2002. Spatila variabity of reference evapotranspiration in Greece. Physics and Chemistry of Earth, 27: 1031-1038.
  • Daly, C., Neilson, R.P., Phillips,D., 1994. A Statisticaltopographical model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology, 33(2): 140-158.
  • Daly, C., Gibson, W.P., Taylor, G.H., Johnson, G. L., Pasteris, P., 2002. A knowledge-based approach to the statistical mapping of climate. Climate Research, 22: 99113.
  • Diodato, N., Ceccarelli, M., 2005. Interpolation processes using multivariate geostatistics for mapping of climatological precipitation mean in the Sannio Mountains (Southern Italy). Earth Surface Processes and Landforms, 30: 259–268.
  • Dodson, R., Marks, D., 1997. Daily air temperature interpolated at high spatial resolution over a large mountainous region. Climate Research, 8:1–20.
  • Dolman, A.J., 1992. A note on areally-averaged evaporation and the value of the effective surface conductance. Journal of Hydrology, 138: 583-589.
  • ESRI, 2004. Using Arcview GIS. Environmental System Research Institute.Inc. Redlans, California.
  • FAO and BARC, 1998. Geographic Information Systems and Agroecological zones database for agricultural development in Bangladesh, Bangladesh Agricultural Research Council (BARC),Dhaka/Bangladesh, URL: http://www.fao.org/landandwater/agll/bgdlris /index.
  • Franklin, J., 1998. Predicting the distribution of shrub species in southern California from climate and terrainderived variables. Journal of Vegetation Science, 9: 733748
  • Fu, P., Rich, P.M., 2002. A geometric solar radiation model with applications in agriculture and forestry. Computers and Electronics in Agriculture, 37, 25-35.
  • Garen, D.C., Johnson, G.L., Hanson, C.L., 1994. Mean areal precipitation for daily hydrologic modeling in mountainous terrain. Water Resource Bulletin, 30: 481491.
  • Gignac, L.D., Vitt, D.H., Bayley, S.E., 1991. Bryophyte response surfaces along ecological and climatic gradients. Vegetation, 93:29–45.
  • Goodale, C.L., Aber, J.D. & Ollinger, S.V., 1998. Mapping monthly precipitation, temperature, and solar radiation for Ireland with polynomial regression and a digital elevation model. Climate Research, 10: 35–49.
  • Goovaerts, P., 1999. Using elevation to aid the geostatistical mapping of rainfall erosivity. Catena, 34: 227–242.
  • Goovaerts, P., 2000. Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of Hydrology, 228:113-129.
  • Greene, S.L., Hart, T.C., Afonin, A., 1999. Using Geographic Information to acquire wild crop germplasm for ex situ collections: I. Map development and field use. Crop Science, 39,836-842.
  • Guisan, A., Theurillat, J.P., 2000. Equilibrium modelling of alpine plant distribution: how far can we go? Hytocoenologia, 30: 353-384.
  • Güler, M., 2003. Bafra ve Çarşamba Ovalarının Coğrafi Bilgi Sistemleri (CBS) kullanılarak agroekolojik zonlarının çıkarılması ve sulama açısından değerlendirilmesi. Yüksek Lisans Tezi, Ondokuz Mayıs Üniversitesi Fen Bilimleri Enstitüsü, Samsun.
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  • Hill, M.J., Donald, G.E., Vickery, P.J., Furnival, E.P., 1996. Integration of satellite remote sensing, simple bioclimatic models and GIS for assessment of pastoral development for a commercial grazing enterprise. Australian Journal of Experimental Agriculture, 36(3): 309–321.
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  • Kadmon, R., Danin, A., 1999. Distribution of plant species in Israel in relation to spatial variation in rainfall. Journal of Vegetation Science, 10: 421-432.
  • Kadmon, R., Heller, J., 1998. Modelling faunal responses to climatic gradients with GIS: land snails as a case study. Journal of Biogeography, 25: 527-539.
  • Kara, T., Güler, M., 2003. Coğrafi Bilgi Sistemlerinin tarımsal amaçlı kullanımı: Potaniyel kuru fasülye ekim alanlarının saptanması, 1. Sulama Kongresi, Kuşadası/İZMİR.
  • Klein, W.H., Dai, Y., 1998. Reconstruction of monthly mean 700-mb heights from surface data by reverse specification. Journal of Climatology, 11(8): 2136–2146.
  • Kleinschmidt, I., Omumbo, J., Brieet, O., Giesen, N.V., Sogoba, N., Mensah, N.K., Windmeijer, P., Moussa, M., Teuscher, T., 2001. An empirical malaria distribution map for West Africa. Tropical Medicine and International Health, 6(10): 779-786.
  • Kravchenko, A.N., Bullock, D.G., Boast, C.W., 2000. Joint multifractal analysis of crop yield and terrain slope. Agronomy Journal, 92: 1279-1290.
  • Kurtzman, D., Kadmon, R., 1999. Mapping of temperature variables in Israel: a comparison of different interpolation methods. Climate Research, 13: 33–43.
  • Lee, S.I., 1994. Validation of geostattistical models using the Filliben test of arthogonal residuals. Journal of Hydrology. 158: 319-332.
  • Li, S., Tarboton, D.G., Mckee, M., 2000. GIS-based temperature interpolation for distributed modelling of reference evapotranspiration. URL: www.engineering. usu.edu/cee/faculty/dtarb.
  • Lindenmayer, D.B., Nix, H.A., McMahon, J.P., Hutchinson, M.F., Tanton, M.T., 1991. The conservation of leadbeaters’s possum, Gymnobelideus leadbeateri (McCoy): a case study of the use of bioclimatic modeling. Journal of Biogeography, 18: 371–383.
  • Lindsay, S.W., Parson, L., Thomas, C.J., 1998. Mapping the ranges and relative abundance of the two principal African malaria vectors, Anopheles gambiae sensus stricto and An-arabiensis, using climate data. Proceedings of Royal Society. Lond. Series B, 265 (1399): 847–854.
  • Loh, K.F., Surip, N. and Hashim, S.A., 1998. Agroecological Zoning for Southwest Selangor using Remote Sensing and Geographic Information System. Malaysian Centre for Remote Sensing (MACRES). URL: http://www.gisdevelopment.net/ application/agriculture/overview/index.
  • Lourens, U.W., deJager, J.M., 1997. A computerised cropspecific drought monitoring system: Design concepts and initial testing. Agricultural Systems, 53: 303-315.
  • Malonea, J.B., Gommesb, R., Hansenb, J., Yilmac, J.M., Slingenbergb, J., Snijdersb, F., Nachtergaeleb, F., Atamanb, E., 1998. A geographic information system on the potential distribution and abundance of Fasciola hepatica and Fasciola gigantica in east Africa based on Food and Agriculture Organization databases. Veterinary Parasitology, 78: 87-101.
  • Marquinez, J., Lastra, J., Garcia, P., 2003. Estimation models for precipitation in mountainous regions: the use of GIS and multivariate analysis. Journal of Hydrology, 270: 1–11.
  • Mati, B.M., Morgan, R.P.C., Gichuk, F.N., Quintor, J.N., Brewer, T.R., Liniger, H.P., 2000. Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng’iro North basin of Kenya. JAG. 2:2.
  • McKenney, D.W., Hutchinson, M.F., Kesteven, J.L., Venier, L.A., 2001. Canada's plant hardiness zones revisited using modern climate interpolation techniques. Canadian Journal of Plant Science, 81: 129-143.
  • Menkir, A., Kling, J.G., Jagtap, S.S., Aliu, B.A., 2000. GIS based classification of maize testing locations in West and Central Africa. Maydica, 45: 143-150.
  • Millward, A.A., Mersey, J.E., 1999. Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena, 38:109–129
  • Naoum, S., Tsanis, I.K., 2003. Hydroinformatic in evapotranspration estimation. Environmental Modelling & Software, 18: 261-271.
  • Narrain, P. and Koroluk, R., 1999. Land Use Classification for Agri-environmental Statistic/Indicators, Statistical Commission and Economic Comission for Europe, Conference of Europan Statisticians, Working Paper No:13, Israel.
  • Ninyerola, M., Pons, X., Roure, M.J., 2000. A methodological approach of climatologically modelling of air temperature and precipitation through GIS techniques. International Journal of Climatology, 20:1823-1841.
  • Pariyar, M.P. and Singh, G., 1995. GIS based model for Agroecological zoning: A case study of Chitwan District/Nepal, Agricultural and Food Engineering Program School of Environment, Resources and Development Asia, Institute of Technology, Bangkok, Thailand.
  • Patel, N.R., Mandal, U.K. and Ponde, L.M., 2000. Agroecological zoning system a Remote Sensing and GIS perspective, Journal of Agrometeorology, 2:1, 1-13. Peter G., Jones, P.G., Thornton, P.K., 2000. MarkSim: Software to Generate Daily Weather Data for Latin America and Africa. Agronomy Journal, 92: 445-453.
  • Phillips, D.L., Dolph, J., Marks, D., 1992. A comparison of geostatistical procedures for spatial analysis of precipitation in mountainous terrain. Agriculture and Forest Meteorology, 58:119–141.
  • Priya, S., Shibasaki, R., 2001. National spatial crop yield simulation using GIS-based crop production model. Ecological Modelling, 136: 113-129.
  • Prudhomme, C., 1999. Mapping a statistic of extreme rainfall in a mountainous region. Physics and Chemistry of the Earth Part-B Hydrology Oceans and Atmosphere. 24: 79-84.
  • Quiroz, R., Zorogastua, P., Baigorria, G., Barreda, C., Valdivia, R., Cruz, M. and Reinoso, J., 1999. Toward a dynamic definition of Agroecological zones using modern information technology Tools, CIP Program Report, 1999-2000, 361-370.
  • Reinke, K., Butcher, E.C., Russell, C.J., Nicholls, D.G., Murray, M.D., 1998. Understanding the flight movements of a non-breeding wandering albatross, Diomedea exulans gibsoni, using a geographic information system. Australian Journal of Zoology, 46: 171-181.
  • Rice, M., Pedigo, L., Lefko, S., 1999. Defining Wireworm risk with GIS. Iowa State University, Extension Service Press. USA. URL: http://www.ipm.iastate. edu.ipm.icm/1999/4-19-1999/wwgis.html
  • Rojas, O.E., Eldin, M., 1983. Agroecological zoning for sugarcane (Sacchorum spp.) cultivation in Costa Rica. Turrialba, 33(2): 151-159.
  • Schreider, S.Y., Whetton, P.H., Jakeman, A.J., Pittock, A.B., 1997. Runoff modelling for snow-affected catchments in the Australian alpine region, eastern Victoria. Journal of Hydrology, 200(1–4): 1–23.
  • Silva, A.C., Blanco, J.L., 2003. Evaluating biophysical variables to identify suitable areas for oat in Central Mexico: a multi-criteria and GIS approach. Agriculture, Ecosystems and Environment, 95: 371–377.
  • Skirvin, S.M., Marsh, S.E., McClaranw, M.P., Mekoz, D.M., 2003. Climate spatial variability and data resolution in a semi-arid watershed, south-eastern Arizona. Journal of Arid Environments, 54: 667–686.
  • Soderstrom, M., Magnusson, B., 1995. Assessment of local agroclimatic conditions: a methodology. Agricultural and Forest Meteorology, 72: 243-260.
  • Thornton, P.E., Running, S.W., White, M.A., 1997. Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology, 190: 214–251.
  • Tsanis, I.K., Gad, M.A., 2001. A GIS precipitation method for analysis of storm kinematics. Environmental Modelling&Software, 16: 273-281.
  • Udouj, T.H., Scott, H.D., 1999. Simulated phosphorus and sediment loadings in two representative subbasins of the Illinois River. Journal of Soil Contamination, 8: 509526.
  • Waluda, C.M., Rodhouse, P.G., Trathan, P.N., Pierce, G.J., 2001. Remotely sensed mesoscale oceanography and the distribution of Illex argentinus in the South Atlantic Fisheries, Oceanography, 10: 207-216.
  • Wei, H., Li, J.L., Liang, T.G., 2005. Study on the estimation of precipitation resources for rainwater harvesting agriculture in semi-arid land of China. Agricultural Water Management, 71(1): 33-45.
  • Weiss, S.B., Weiss, A.D., 1998. Landscape-level phenology of a threatened butterfly: A GIS-Based modeling approach. Ecosystems, 1: 299-309.
  • Wesenbeeck, V.I.J., Havens, P.L., 1999. A groundwater exposure assessment for cloransulam-methyl in the US soybean market. Journal of Environmental Quality, 28: 513-522.
  • Willmott, C.J., Matsuura, K., 1995. Smart interpolation of annually averaged air temperature in the United States. Journal of Applied Meteorology, 34:2577–2586.
  • Willmott, C.J., Robeson, S.M., 1995. Climatologically aided interpolation (CAI) of terrestrial air temperature. International Journal of Climatology, 15:221–229.
  • Wittmann, E.J., Mellor, P.S., Baylis, M., 2001. Using climate data to map the potential distribution of Culicoides imicola (Diptera:Ceratopogonidae) in Europe, OIE Scientific and Technical Review, 20(3): 731-740.
  • Wooldridge, S.A., Franks, S.W., Kalma, J.D., 2001. Hydrological implications of the Southern Oscillation: variability of the rainfall-runoff relationship. Hydrological Sciences Journal, 46: 73-88.
  • Wu, J.J., Babcock, B.A., 1999. Metamodeling potential nitrate water pollution in the central United States. Journal of Environmental Quality, 28: 1916-1928.
  • Yajima, M., 1996. Monitoring regional rice development and cool-summer damage. Jarq-Japan Agricultural Research Quarterly, 30: 139-143.
  • Yazdanpanah, H., 2001. Agroclimatic zoning of Azarbaijan province for rainfed almond, MSc. Thesis, Tehran University, Iran. URL: http://www.gisdevelopment. net/application/agriculture/overview/index.htm
  • Zhou, G., Esaki, T., Mori, J., 2003. GIS-based spatial and temporal prediction system development for regional and subsidence hazard mitigation. Environmental Geology, 44:665–678.
Toplam 91 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Tarım Bilimleri (Agricultural Sciences) Eski Sayılar (Back Issues)
Yazarlar

Mustafa Güler Bu kişi benim

Tekin Kara Bu kişi benim

Yayımlanma Tarihi 31 Aralık 2007
Yayımlandığı Sayı Yıl 2007 Cilt: 22 Sayı: 3

Kaynak Göster

APA Güler, M., & Kara, T. (2007). ALANSAL DAĞILIM ÖZELLİĞİ GÖSTEREN İKLİM PARAMETRELERİNİN COĞRAFİ BİLGİ SİSTEMLERİ İLE BELİRLENMESİ VE KULLANIM ALANLARI; GENEL BİR BAKIŞ. Anadolu Tarım Bilimleri Dergisi, 22(3), 322-328. https://doi.org/10.7161/anajas.2007.22.3.322-328
Online ISSN: 1308-8769