Coğrafi Bilgi Sistemleri ile Biyocoğrafya, İklim ve Toprak Araştırmaları
Özet
Coğrafi Bilgi Sistemleri (CBS), biyotik ve abiyotik faktörler arasındaki karmaşık etkileşimleri anlamak için mekânsal verileri bir araya getirme, analiz ve görselleştirmede kritik bir rol oynamaktadır. Biyocoğrafya araştırmalarında tür dağılımları ve habitatların haritalanması, ekolojik kalıpların ve eğilimlerin analizinde CBS sıklıkla kullanılmaktadır. Benzer şekilde iklim verilerinin analiz ve görselleştirilmesi, uydu görüntüleri ve meteorolojik kayıtlar gibi veri kümeleriyle yapılan haritalar için kullanılan CBS araçları, gelecekteki iklim senaryolarını tahmin etmeye ve etkilerini değerlendirmeye olanak tanımaktadır. Toprak araştırmalarında ise, ayrıntılı toprak haritaları ve modelleri oluşturmak için toprak verilerini diğer mekânsal bilgilerle bir araya getiren CBS, arazi yönetimi ve çevre koruma gibi girişimleri desteklemektedir. Tür dağılım modelleri ve iklim projeksiyonları aracılığıyla elde edilen ayrıntılı analizler, potansiyel tür kayıpları ve ekosistem değişikliklerini belirleme, etkili koruma stratejileri geliştirme, tarım ve arazi yönetimi alanlarında karar alma süreçlerine katkı sağlayan Coğrafi Bilgi Sistemleri, toprak sağlığını korumada da önemli bir rol oynamaktadır.
Referanslar
Ahrens, C. D., & Henson, R. (2019). Meteorology today: An introduction to weather, climate, and environment (12th ed.). Cengage Learning.
Akgün, A., Dag, S., & Bulut, F. (2008). Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models. Environmental Geology, 54(6), 1127-1143. https://doi.org/10.1007/s00254-007-0882-8
Akgün, A., Kıncal, C., & Pradhan, B. (2012). Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey). Environmental Monitoring and Assessment, 184, 5453-5470.
Akkurt Gümüş, S. (2020). Coğrafi bilgi sistemleri ve uzaktan algılamanın biyoçeşitlilik çalışmalarındaki yeri ve önemi. In S. Günay Aktaş & S. Özkaya (Eds.), Coğrafi bilgi sistemlerinin kullanım alanları I, 57-75. T.C. Anadolu Üniversitesi Yayını. E-ISBN: 978-975-06-41-32-9.
Tona, A. U., Demir, V., Kuşak, L., & Yakar, M. (2022). Su kaynakları mühendisliğinde CBS’nin kullanımı. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 4(1), 23-33.
Bellard, C., Bertelsmeier, C., Leadley, P., Thuiller, W., & Courchamp, F. (2012). Impacts of climate change on the future of biodiversity. Ecology Letters, 15(4), 365-377.
Benzer, N. (2010). Using the geographical information system and remote sensing techniques for soil erosion assessment. Polish Journal of Environmental Studies, 19(5), 881-886.
Blackburn, T. M., Pyšek, P., Bacher, S., Carlton, J. T., Duncan, R. P., Jarošík, V., Wilson, J. R. U., & Richardson, D. M. (2011). A proposed unified framework for biological invasions. Trends in Ecology & Evolution, 26(7), 333-339.
Bolstad, P. (2012). GIS fundamentals (4th ed.). Eider Press.
Bolstad, P. (2022). GIS fundamentals: A first text on geographic information systems (6th ed.). XanEdu Publishing.
Brady, N. C., & Weil, R. R. (2017). The nature and properties of soils (15th ed.). Pearson.
Bregt, A. K. (2007, September). GIS support for precision agriculture: Problems and possibilities. In Ciba Foundation Symposium 210: Precision Agriculture: Spatial and Temporal Variability of Environmental Quality (pp. 173-181). John Wiley & Sons, Ltd.
Brevik, E. C., Steffan, J. J., Burgess, L. C., & Cerdà, A. (2017). Links between soil security and the influence of soil on human health. In Global Soil Security (Progress in Soil Science, pp. 85-102). Springer.
Burrough, P. A., McDonnell, R. A., & Lloyd, C. D. (2015). Principles of geographical information systems (3rd ed.). Oxford University Press.
Chang, K. T. (2018). Introduction to geographic information systems (8th ed.). McGraw-Hill Education.
Çelikyay, S., Cengiz, S., & Görmüş, S. (2015). Coğrafi bilgi sistemleri ile Bartın ili’nin arazi kullanım uygunluk analizi. Bartın Orman Fakültesi Dergisi, 17(25-26), 73-81.
Coşkun, M., & Toprak, F. (2023). Coğrafi bilgi sistemleri (CBS) tabanlı orman yangını risk analizi: Bartın ili örneği. Geomatik, 8(3), 250-263. https://doi.org/10.29128/geomatik.1192219
Davis, M. A., & Shaw, R. (2001). Range shifts and adaptive responses to Quaternary climate change. Science, 292(5517), 673-679.
DeMers, M. N. (2008). Fundamentals of geographic information systems (4th ed.). John Wiley & Sons.
Demir, V., & Kisi, O. (2016). Flood hazard mapping by using geographic information system and hydraulic model: Mert River, Samsun, Turkey. Advances in Meteorology, 2016, 1-10. https://doi.org/10.1155/2016/4891015
Demirci, A., & Karaburun, A. (2012). Estimation of soil erosion using RUSLE in a GIS framework: A case study in the Büyükçekmece Lake watershed, northwest Turkey. Environmental Earth Sciences, 66, 903-913.
Dengiz, O., Yakupoglu, T., & Baskan, O. (2009). Soil erosion assessment using geographical information system (GIS) and remote sensing (RS) study from Ankara- Guvenc Basin, Turkey. Journal of Environmental Biology, 30(3), 339-344.
Dossa, K. F., & Miassi, Y. E. (2024). Remote sensing methods and GIS approaches for carbon sequestration measurement: A general review. International Journal of Environment and Climate Change, 14(7), 222-233.
Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., & Yates, C. J. (2011). A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17(1), 43-57.
Ercanoglu, M., & Gokceoglu, C. (2002). Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach. Environmental Geology, 41(6), 720-730. https://doi.org/10.1007/s00254-001-0456-y
Yüksel, E., Karan, Ö. F., & Akay, A. E. (2024). Spatio-temporal analysis of erosion risk assessment using GIS-based AHP method: A case study of Doğancı Dam Watershed in Bursa (Türkiye). Forests, 15(7), 1135.
FathiZahraei, M., Marthandan, G., Raman, M., & Asadi, A. (2015). Reducing risks in crisis management by GIS adoption. Natural Hazards, 76(1), 83-98.
Groombridge, B., & Jenkins, M. D. (2002). World atlas of biodiversity: Earth’s living resources in the 21st century. University of California Press.
Hansen, J., Ruedy, R., Sato, M., & Lo, K. (2010). Global surface temperature change. Reviews of Geophysics, 48(4), RG4004. https://doi.org/10.1029/2010RG000345
Hewitt, G. M. (2004). Genetic consequences of climatic oscillations in the Quaternary. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 359(1442), 183-195.
Heywood, I., Cornelius, S., & Carver, S. (2011). An introduction to geographical information systems (4th ed.). Pearson Prentice Hall.
Houghton, J. T., Ding, Y., Griggs, D. J., Noguer, M., van der Linden, P. J., Dai, X., Maskell, K., & Johnson, C. A. (2001). Climate change 2001: The scientific basis. Cambridge University Press.
Hsu, P. H., Wu, S. Y., & Lin, F. T. (2005). Disaster management using GIS technology: A case study in Taiwan. ResearchGate. https://www.researchgate.net/publication/228626036
Hughes, T. P., Donovan, M. K., McWilliam, M. J., Bourne, D. G., & Byrne, M. (2023). Ecological memory modifies coral resilience to climate change. Nature Climate Change, 13(4), 387-394.
Huntley, B., Green, R. E., Collingham, Y. C., & Willis, S. G. (2008). A climatic atlas of European breeding birds. Lynx, RSPB, Durham University Press.
Hurni, H. (1993). Land degradation, famine, and land resource scenarios in Ethiopia. In World soil erosion and conservation (pp. 27-61). Cambridge University Press.
IPCC. (2021). Summary for policymakers. In V. Masson-Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi,
R. Yu, & B. Zhou (Eds.), Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 3-32). Cambridge University Press.
Jung, M., Arnell, A., de Lamo, X., García-Rangel, S., Lewis, M., Mark, J., Merow, C., Miles, L., Ondo, I., Pironon, S., Ravilious, C., Rivers, M., Shchepashchenko, D., Tallowin, O., van Soesbergen, A., Govaerts, R., Boyle, B. L., Enquist, B. J., Feng, X., Gallagher, R., Maitner, B., Meiri, S., Mulligan, M., Ofer, G., Roll, U., Hanson, J. O., Jetz, W., Di Marco, M., McGowan, J., Rinnan, D. S., Sachs, J. D., Lesiv, M., Adams, V. M., Andrew, S. C., Burger, J. R., Hannah, L., Marquet, P. A., McCarthy, J. K., Morueta-Holme, N., Newman, E. A., Park, D. S., Roehrdanz, P. R., Svenning, J.-C., Violle, C., Wieringa, J. J., Wynne, G., Fritz, S., Strassburg, B. B. N., Obersteiner, M., Kapos, V., Burgess, N., Schmidt-Traub, G., & Visconti, P. (2021). Areas of global importance for conserving terrestrial biodiversity, carbon and water. Nature Ecology & Evolution, 5, 1499–1509. https://doi.org/10.1038/s41559-021-01528-7
Karaman, N., Aksoy, S., Cesur, F., & Saygın, F. (2022). Uzaktan algılama ve coğrafi bilgi sistemi teknikleri kullanılarak kentleşmenin tarım arazileri üzerindeki etkisinin belirlenmesi. Türkiye Tarımsal Araştırmalar Dergisi, 9(3), 385-394. https://doi.org/10.19159/tutad.1172835
Kazemi Garajeh, M., Salmani, B., & Zare Naghadehi, S. (2023). An integrated approach of remote sensing and geospatial analysis for modeling and predicting the impacts of climate change on food security. Scientific Reports, 13(1057). https://doi.org/10.1038/s41598-023-28244-5
Kriegler, E., O’Neill, B. C., Hallegatte, S., Kram, T., Lempert, R. J., Moss, R. H., & Wilbanks, T. (2012). The need for and use of socio-economic scenarios for climate change analysis: A new approach based on shared socio-economic pathways. Global Environmental Change, 22(4), 807-822.
Kuria, E., Kimani, S., & Mindila, A. (2019). A framework for web GIS development: A review. International Journal of Computer Applications, 178(16), 6-10.
Lal, R. (2004). Soil carbon sequestration impacts on global climate change and food security. Science, 304(5677), 1623-1627. https://doi.org/10.1126/science.1097396
Lambin, E. F., Geist, H. J., & Lepers, E. (2001). Dynamics of land-use and land- cover change in tropical regions. Annual Review of Environment and Resources, 26(1), 261-288.
Lykke, A. M., Hahn, K., Schmidt, M., Axelsen, J., Thiombiano, A., Bachmann, Y., & McGhee, W. (2016). The UNDESERT project: From research to action for combating desertification and land degradation in West Africa. https://undesert.neri.dk/uploads/PDF/12_UNDESERT_Appendix2_OverviewSuggestions_NEW.pdf
Delibaş, L., Bağdatlı, M. C., & Danişman, A. (2015). Topoğrafya ve bazı toprak özelliklerinin coğrafi bilgi sistemleri (CBS) ortamında analiz edilerek ceviz yetiştiriciliğine uygun alanların belirlenmesi: Tekirdağ ili merkez köyleri örneği. GÜFBED/GUSTIJ, 5(1), 50-59.
Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographical information science and systems. Wiley.
Malhi, Y., Franklin, J., Seddon, N., Solan, M., Turner, M. G., Field, C. B., & Knowlton, N. (2020). Climate change and ecosystems: Threats, opportunities, and solutions. Philosophical Transactions of the Royal Society B: Biological Sciences, 375(1794), 20190104.
Menzel, A., Sparks, T. H., Estrella, N., Koch, E., Aasa, A., Ahas, R., ... & Zust, A. (2006). European phenological response to climate change matches the warming pattern. Global Change Biology, 12(10), 1969-1976.
Mercan, Ç., & Arpağ, S. (2020). Coğrafi bilgi sistem analizleri kullanılarak toprak ve arazi özelliklerinin değerlendirilmesi: Türkiye, Mardin ili arazisi. Türkiye Tarımsal Araştırmalar Dergisi, 7(1), 23-33. https://doi.org/10.19159/tutad.644210
Miller, J., & Rogan, J. (2007). Using GIS and remote sensing for ecological mapping and monitoring. In Integration of GIS and remote sensing (pp. 233-252). Cambridge University Press.
Molloy, S. W., Davis, R. A., Dunlop, J. A., & van Etten, E. J. B. (2017). Applying surrogate species presences to correct sample bias in species distribution models: A case study using the Pilbara population of the Northern Quoll. Nature Conservation, 18, 27-46.
Mooney, H., Larigauderie, A., Cesario, M., Elmquist, T., Hoegh-Guldberg, O., Lavorel, S. & Yahara, T. (2009). Biodiversity, climate change, and ecosystem services. Current Opinion in Environmental Sustainability, 1(1), 46-54.
Muñoz-Rojas, M., Pereira, P., Brevik, E. C., Cerdà, A., & Jordán, A. (2017). Soil mapping and processes models for sustainable land management applied to modern challenges. In Soil mapping and process modeling for sustainable land use management (pp. 151-190). Elsevier.
Myers, N., Mittermeier, R. A., Mittermeier, C. G., Da Fonseca, G. A. B., & Kent, J. (2000). Biodiversity hotspots for conservation priorities. Nature, 403(6772), 853-858.
Nabong, E. C., Hocking, L., Opdyke, A., & Walters, J. P. (2023). Decision-making factor interactions influencing climate migration: A systems-based systematic review. Wiley Interdisciplinary Reviews: Climate Change, e828. https://doi.org/10.1002/wcc.828
Naimi, B., & Araújo, M. B. (2016). sdm: A reproducible and extensible R platform for species distribution modelling. Ecography, 39(4), 368-375.
Nefros, K. C., Kitsara, G. S., & Photis, Y. N. (2018). Using geographic information systems (GIS) to develop prioritization maps in urban search and rescue operations after a natural disaster: Case study, the municipality of Agia Paraskevi, Athens, Greece. IFAC- PapersOnLine, 51(30), 360-365.
Notre Dame Global Adaptation Initiative. (2023, Temmuz). Climate-induced displacement is a global phenomenon, but not evenly experienced. https://news.berkeley.edu/
Oregon State University. (2019, Aralık). Researchers find some forests crucial for climate change mitigation, biodiversity. https://today.oregonstate.edu
Özcan, A. U., Erpul, G., Başaran, M., & Erdoğan, H. E. (2006). Use of USLE/GIS methodology for predicting soil loss in a semiarid agricultural watershed. Environmental Monitoring and Assessment, 144(1-3), 211-217. https://doi.org/10.1007/s10661-007-9987-8
Özdemir, M. A., & Tatar Dönmez, S. (2016). CBS tabanlı Rusle yöntemiyle Işıklı Gölü havzasının erozyon risk analizi. Harita Teknolojileri Elektronik Dergisi, 8(1), 1-21. https://doi.org/10.15659/hartek.16.03.122
Panagos, P., Borrelli, P., Poesen, J., & Meusburger, K. (2015). The new assessment of soil loss by water erosion in Europe. Environmental Science & Policy, 54, 438-447.
Paustian, K., Lehmann, J., Ogle, S., Reay, D., Robertson, G. P., & Smith, P. (2016). Climate-smart soils. Nature, 532(7597), 49-57. https://doi.org/10.1038/nature17174
Pereira, P., Brevik, E. C., Muñoz-Rojas, M., Miller, B. A., Smetanova, A., Depellegrin, D., & Cerdà, A. (2017). Soil mapping and processes modeling for sustainable land management. In Soil mapping and process modeling for sustainable land use management (pp. 29-60). Elsevier.
Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259.
Pinto-Ledezma, J. N., & Cavender-Bares, J. (2021). Predicting species distributions and community composition using satellite remote sensing predictors. Scientific Reports, 11, 16448. https://doi.org/10.1038/s41598-021-96047-7.
Prakash, S. (2021). Impact of climate change on aquatic ecosystems and their biodiversity: An overview. International Journal of Biological Innovations, 3(2), 76-82.
Prasad, N., Semwal, M., & Roy, P. S. (2015). Remote sensing and GIS for biodiversity conservation. In Recent advances in lichenology: Modern methods and approaches in biomonitoring and bioprospection, Volume 1 (pp. 151-179). Springer.
QGIS Development Team. (2021). QGIS Geographic Information System. Open Source Geospatial Foundation Project.
Whittaker, R. J., & Ladle, R. J. (2011). Chapter 1. In R. J. Ladle & R. J. Whittaker (Eds.), Conservation Biogeography. Wiley-Blackwell.
Rao, M. N., Waits, D. A., & Neilsen, M. L. (2000). A GIS-based modeling approach for implementation of sustainable farm management practices. Environmental Modelling & Software, 15(8), 745-753.
Rodríguez, A., & Delibes, M. (2003). Population fragmentation and extinction in the Iberian lynx. Biological Conservation, 109(3), 321-331.
Root, T. L., Price, J. T., Hall, K. R., Schneider, S. H., Rosenzweig, C., & Pounds, J. A. (2003). Fingerprints of global warming on wild animals and plants. Nature, 421(6918), 57-60.
Rowden, K. W., & Aly, M. H. (2018). GIS-based regression modeling of the extreme weather patterns in Arkansas, USA. Geoenvironmental Disasters, 5(1), 1-15.
Saha, A.K., Agrawal, S., 2020. Mapping and assessment of flood risk in Prayagraj district, India: a GIS and remote sensing study. Nanotechnology for Environmental Engineering 5 (2), 11. https://doi.org/10.1007/s41204-020-00073-1.
Salem, B. B. (2003). Application of GIS to biodiversity monitoring. Journal of Arid Environments, 54(1), 91-114.
Singh, S., Sarma, K. (2020). Exploring soil spatial variability with GIS, remote sensing, and geostatistical approach. Journal of Soil, Plant and Environment, 2(1), 79-99.
Şener, E., & Şener, Ş. (2019). Meteorolojik kuraklığın coğrafi bilgi sistemleri tabanlı zamansal ve konumsal analizi: Çorak gölü havzası (Burdur-Türkiye) örneği. Mühendislik Bilimleri Ve Tasarım Dergisi, 7(3), 596-607. https://doi.org/10.21923/jesd.543573
Şener, E., Davraz, A., & Ozcelik, M. (2005). An integration of GIS and remote sensing in groundwater investigations: A case study in Burdur, Turkey. Hydrogeology Journal, 13(5-6), 826-834. https://doi.org/10.1007/s10040-004-0388-z
Sestras, P., Mircea, S., Roșca, S., Bilașco, Ș., Sălăgean, T., Dragomir, L. O., ... & Kader, S. (2023). GIS based soil erosion assessment using the USLE model for efficient land management: A case study in an area with diverse pedo-geomorphological and bioclimatic characteristics. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 51(3), 13263-13263.
Six, J., Conant, R. T., Paul, E. A., & Paustian, K. (2002). Stabilization mechanisms of soil organic matter: Implications for C-saturation of soils. Plant and Soil, 241(2), 155-176. https://doi.org/10.1023/A:1016125726789
Skidmore, A. K., Bijker, W., Schmidt, K., & Kumar, L. (1997). Use of remote sensing and GIS for sustainable land management. ITC Journal, 3(4), 302-315.
Skilodimou, H. D., Bathrellos, G. D., Chousianitis, K., Youssef, A. M., & Pradhan, B. (2019). Multi-hazard assessment modeling via multi-criteria analysis and GIS: A case study. Environmental Earth Sciences, 78(2), 1–21. https://doi.org/10.1007/s12665-018- 8003-4
Sood, K., Singh, S., Rana, R. S., Rana, A., Kalia, V., & Kaushal, A. (2015, Ekim). Application of GIS in precision agriculture. Precision farming technologies for high Himalayas (pp. 04-05).
Stockwell, D. R. B., & Peters, D. P. (1999). The GARP modeling system: Problems and solutions. International Journal of Geographical Information Science, 143-158.
Taramelli, A., Valentini, E., & Sterlacchini, S. (2015). A GIS-based approach for hurricane hazard and vulnerability assessment in the Cayman Islands. Ocean & Coastal Management, 108, 116-130.
Tomaszewski, B., Judex, M., Szarzynski, J., Radestock, C., & Wirkus, L. (2015). Geographic information systems for disaster response: A review. Journal of Homeland Security & Emergency Management, 12(3), 571-602. https://doi.org/10.1515/jhsem- 2014-0082
Turner, M. G. (2010). Disturbance and landscape dynamics in a changing world. Ecology, 91(10), 2855-2870.
Udoumoh, U. I., Ikrang, E. G., & Ehiomogue, P. O. (2021). Precision farming and fertilizer recommendation using geographic information system (GIS): A review. International Journal of Agriculture and Earth Science, 7(2), 1-8.
Van Westen, C. J. (2013). Remote sensing and GIS for natural hazards assessment and disaster risk management. Treatise on Geomorphology, 3(15), 259-298.
Velmurugan, A., & Guillen, G. C. (2009). Soil resource assessment and mapping using remote sensing and GIS. Journal of the Indian Society of Remote Sensing, 37, 537- 547.
Wegmann, M., Leutner, B., & Dech, S. (2016). Remote sensing and GIS for ecologists: Using open source software. Pelagic Publishing.
West, T. O., & Post, W. M. (2002). Soil organic carbon sequestration rates by tillage and crop rotation: A global data analysis. Soil Science Society of America Journal, 66(6), 1930-1946. https://doi.org/10.2136/sssaj2002.1930
Thuiller, W., Albert, C., Araújo, M. B., Berry, P. M., Cabeza, M., Guisan, A. & Zimmermann, N. E. (2008). Predicting global change impacts on plant species’ distributions: Future challenges. Perspectives in Plant Ecology, Evolution and Systematics, 9(3–4), 137-152.
Xie, Y. W., Yang, J. Y., Du, S. L., Zhao, J., Li, Y., & Huffman, E. C. (2012). A GIS-based fertilizer decision support system for farmers in Northeast China: A case study at Tong-le village. Nutrient Cycling in Agroecosystems, 93(3), 323-336.
Yalçın, A., Reis, S., Aydinoglu, A. C., & Yomralıoğlu, T. (2011). A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics, and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. Catena, 85(3), 274-287. https://doi.org/10.1016/j.catena.2011.01.014
Yüksel, A., Gündoğan, R., & Akay, A. E. (2008). Using the remote sensing and GIS technology for erosion risk mapping of Kartalkaya dam watershed in Kahramanmaras, Turkey. Sensors, 8(8), 4851-4865.
Yüksel, A., & Meral, A. (2020). Hassas tarımda CBS (coğrafi bilgi sistemleri), UA (uzaktan algılama), GPS (küresel konum belirleme) ve İHA (insansız hava araçları) teknolojilerinin kullanımı. In Tarımda yenilikçi yaklaşımlar; sürdürülebilir tarım ve biyoçeşitlilik (pp. 173-195). İKSAD.
Zomer, R. J., Bossio, D. A., Trabucco, A., Yuanjie, L., Gupta, D. C., & Singh, V. P. (2007). Trees and water: Smallholder agroforestry on irrigated lands in Northern India. Agroforestry Systems, 70(3), 185-203. https://doi.org/10.1007/s10457-007-9038-0.
