Past and future land-use/land-cover change trends and its potential drivers in Koore’s agricultural landscape, Southern Ethiopia

References

• Abebe G, Getachew D, Ewunetu A. 2022. Analyzing land use/land cover changes and its dynamics using remote sensing and GIS in Gubalafito district, Northeastern Ethiopia. SN Appl Sci. 4(1):30. doi: 10.1007/s42452-021-04915-8.
   Web of Science ®Google Scholar
• Alam A, Sultan M, Maheen M. 2020. Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley. Geo. Journal. 85(6):1529–1543. doi: 10.1007/s10708-019-10037-x.
   Google Scholar
• Azman N, Ramli M, Razman R. 2019. Relative importance index (RII) in ranking of quality factors on industrialized building system (IBS) projects in Malaysia. AIP Conf. Proc. 2129, 020029-1–020029-7; doi: 10.1063/1.5118037.
   Google Scholar
• Cochran G. 1963. Sampling techniques. 2nd edition. New York, USA: john Wiley and Sons, Inc.
   Google Scholar
• Congalton G, Green K. 2009. Assessing the accuracy of remotely sensed data: principles and practices, 2nd edn. CRC Press, Taylor & Francis Group, Boca Raton.
   Google Scholar
• Debnath J, Sahariah D, Lahon D, Nath N, Chand K, Meraj G, Farooq M, Kumar P, Kanga S, Suraj K, et al. 2022. Geospatial modeling to assess the past and future land use‑land cover changes in the Brahmaputra Valley, NE India, for sustainable land resource management. Environ Sci Pollut Res. doi: 10.1007/s11356-022-24248-2.
   Web of Science ®Google Scholar
• Dibaba T, Demissie A, Miegel K. 2020. Drivers and Implications of Land Use/Land Cover Dynamics in Finchaa Catchment, Northwestern Ethiopia. Land. 9(4):113. doi: 10.3390/land9040113.
   Web of Science ®Google Scholar
• EFAP. 1994. Ethiopian Forestry Action Program. Addis Abeba, Ethiopia: EFAP.
   Google Scholar
• FAO. 2011. The state of the world’s land and water resources for food and agriculture managing systems at risk. Food and Agriculture Organization of the United Nations, Rome.
   Google Scholar
• FAO. 2015. Global Forest Resources Assessment 2015: how have the world’s forests changed? Rome, Italy: Food and Agriculture Organization of The United Nations.
   Google Scholar
• FAO. 2016. Challenges facing agriculture and food security (Ethiopia).Rome: emergency and Rehabilitation Division, Food and Agriculture Organization of the United Nations.
   Google Scholar
• FAO. 2020. Global forest assessment resources 2020 (No.163). Forestry Paper. Rome, Italy.
   Google Scholar
• FDRE. 1994. Constitution of the Federal Democratic Republic of Ethiopia, Addis Ababa Ethiopia, pp. 50.
   Google Scholar
• Godebo M, Ulsido M, Jijo T, Geleto G. 2018. Influence of land use and land cover changes on ecosystem services in the Bilate Alaba Sub-watershed,Southern Ethiopia. Journal of Ecology and the Natural Environment. 10(9):. 28–238. DOI:10.5897/JENE2018.0709.
   Google Scholar
• Guan J, Li F, Inohae T, Su C, Nagaie T, Hokao K. 2011. Modeling urban land use change by the integration of cellular automaton and Markov model. Ecol. Model. 222(20-22):3761–3772. doi: 10.1016/j.ecolmodel.2011.09.009.
   Web of Science ®Google Scholar
• Han H, Yang C, Song J. 2015. Scenario simulation and the prediction of land use and land cover change in Beijing, China. Sustainability. 7(4):4260–4279. doi: 10.3390/su7044260.
   Web of Science ®Google Scholar
• Hoque M, Cui S, Islam I, Xu L, Ding S. 2021. Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh. Ecological Indicators. 130:107954. doi: 10.1016/j.ecolind.2021.107954.
   Web of Science ®Google Scholar
• Khwarahm N. 2021. Spatial modeling of land use and land cover change in Sulaimani, Iraq, using multitemporal satellite data. Environ Monit Assess. 193(3):148. doi: 10.1007/s10661-021-08959-6.
   PubMed Web of Science ®Google Scholar
• Khwarahm N, Najmaddin P, Ararat K, Qader S. 2021. Past and future prediction of land cover land use change based on earth observation data by the CA–Markov model: a case study from Duhok governorate, Iraq. Arab J Geosci. 14(15):1544. doi: 10.1007/s12517-021-07984-6.
   Google Scholar
• Kuma H, Feyessa F, Demissie A. 2022. Land-use/land-cover changes and implications in Southern Ethiopia: evidence from remote sensing and informants. Heliyon. 8(3):e09071. doi: 10.1016/j.heliyon.2022.e09071.
   PubMed Web of Science ®Google Scholar
• Lambin F, Geist J, Lepers E. 2003. Dynamics of land-use and land-cover change in tropical regions. Annu Rev Environ Resour. 28(1):205–241. doi: 10.1146/annurev.energy.28.050302.105459.
   Web of Science ®Google Scholar
• Leta K, Demissie A, Tränckner J. 2021. Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia. Sustainability. 13(7):3740. doi: 10.3390/su13073740.
   Web of Science ®Google Scholar
• 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. doi: 10.1371/journal.pone.0200493.
   PubMed Web of Science ®Google Scholar
• Marchant R, Richer S, Boles O, Capitani C, Courtney-Mustaphi CJ, Lane P, Prendergast ME, Stump D, De Cort G, Kaplan JO, et al. 2018. Drivers and trajectories of land cover change in East Africa: human and environmental interactions from 6000 years ago to present. Earth Sci. Rev. 178:322–378. doi: 10.1016/j.earscirev.2017.12.010.
   Web of Science ®Google Scholar
• Mohajane M, Essahlaoui A, Oudija F, Hafyani M, Hmaidi A, Ouali A, Randazzo G, Teodoro A. 2018. Land Use/Land Cover (LULC) Using Landsat Data Series (MSS, TM, ETM + and OLI) in Azrou Forest, in the Central Middle Atlas of Morocco. Environments. 5(12):131. doi: 10.3390/environments5120131.
   Web of Science ®Google Scholar
• Mucova A, Filho L, Azeiteiro M, Pereira J. 2018. Assessment of land use and land cover changes from 1979 to 2017 and biodiversity & land management approach in Quirimbas National Park, Northern Mozambique, Africa. Global Ecol Conserv. 16(447):e00447. doi: 10.1016/j.gecco.2018.e00447.
   Google Scholar
• Nath N, Sahariah D, Meraj G, Debnath J, Kumar P, Lahon D, Chand K, Farooq M, Chandan P, Singh SK, et al. 2023. Land Use and Land Cover Change Monitoring and Prediction of a UNESCOWorld Heritage Site: kaziranga Eco-Sensitive Zone Using Cellular Automata-Markov Model. Land. 12(1):151. doi: 10.3390/land12010151.
   Web of Science ®Google Scholar
• Risma Z, Paharuddin F. 2019. Prediction of land use and land cover (LULC) changes using CA-Markov model in Mamuju Subdistrict. J. Phys.: Conf. Ser., 8, 082033, 1341. Conference Series 1341 082033. doi: 10.1088/1742-6596/1341/8/082033.
   Google Scholar
• RSA. 2007. Southern Nation Nationalities and Peoples of Regional State ―Regional Statistical Agency Abstract‖. Hawassa.
   Google Scholar
• Sharma J, Prasad R, Mishra N, Yadav P, Bala R. 2018. Land use and Land cover classification of multispectral landsat-8 satellite imagery using discrete wavelet transform. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-5, ISPRS TC V Mid-Term Symposium “Geospatial Technology – Pixel to People, p. 20–23. November 2018.
   Google Scholar
• Shiferaw H, Schaffner U, Bewket W, Alamirew T, Zeleke G, Teketay D, Bekele K, Schaffner U, Eckert S. 2019. Modelling the current fractional cover of an invasive alien plant and drivers of its invasion in a dryland ecosystem. Sci Total Environ. 675:354–366. doi: 10.1038/s41598-018-36587-7.
   PubMed Web of Science ®Google Scholar
• Tariq A, Mumtaz F. 2023. Modeling spatio-temporal assessment of land use land cover of Lahore and its impact on land surface temperature using multi-spectral remote sensing data. Environ Sci Pollut Res Int. 30(9):23908–23924. doi: 10.1007/s11356-022-23928-3.
   PubMed Web of Science ®Google Scholar
• Tariq A, Mumtaz F, Majeed M, Zeng X. 2022a. Spatio-temporal assessment of land use land cover based on trajectories and cellular automata Markov modelling and its impact on land surface temperature of Lahore district Pakistan. Environ Monit Assess. 195(1):21. doi: 10.1007/s10661-022-10738-w.
   PubMed Web of Science ®Google Scholar
• Tariq A, Shu H. 2020. CA-Markov chain analysis of seasonal land surface temperature and land use landcover change using optical multi-temporal satellite data of. Remote Sensing. 12(20):3402. doi: 10.3390/rs12203402.
   Web of Science ®Google Scholar
• Tariq A, Shu H, Siddiqui S, Imran M, Farhan M. 2021a. Monitoring Land Use And Land Cover Changes Using Geospatial Techniques, A Case Study Of Fateh Jang, Attock, Pakistan. GES. 14(1):41–52. doi: 10.24057/2071-9388-2020-117.
   Google Scholar
• Tariq A, Shu H, Siddiqui S, Munir I, Sharifi A, Li Q, Lu L. 2021b. Spatio‑temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio‑economic and environmental variable data with machine learning methods. Journal of Forest Resources. 32(3):12. doi: 10.1007/s11676-021-01354-4.
   Google Scholar
• Tariq A, Yan J, Gagnon A, Khan M, Mumtaz F. 2022b. Mapping of cropland, cropping patterns, and crop types by combining optical remote sensing images with decision tree classifier and random forest. Geo-Spatial Informantion Science. :1–19. doi: 10.1080/10095020.2022.2100287.
   Google Scholar
• Tariq A, Yan J, Mumtaz F. 2022c. Land change modeler and CA-Markov chain analysis for land use land cover change using satellite data of Peshawar, Pakistan. Physics and Chemistry of the Earth Parts A/B/C. 128:103286. doi: 10.1016/j.pce.2022.103286.
   Web of Science ®Google Scholar
• Temesgen H, Wu W, Legesse A, Yirsaw E. 2021. Modeling and prediction of effects of land use change in an agroforestry dominated southeastern Rift-Valley escarpment of Ethiopia. Remote Sens Appl: soc Environ. 21:100469. DO -doi: 10.1016/j.rsase.2021.100469.
   Google Scholar
• Tolessa T, Senbeta F, Kidane M. 2017. The impact of land use/land cover change on ecosystem services in the central highlands of Ethiopia. Ecosyst Serv. 23:47–54. doi: 10.1016/j.ecoser.2016.11.010.
   Web of Science ®Google Scholar
• Viera A, Garrett M. 2005. Understanding inter observer agreement: the kappa statistic. Fam. Med. 37(5):360–363.
   PubMed Web of Science ®Google Scholar
• Wang S, Gebru M, Lamchin M, Kayastha B, Lee W. 2020. Land Use and Land Cover Change Detection and Prediction in the Kathmandu District of Nepal Using Remote Sensing and GIS. Sustainability. 12(9):3925. doi: 10.3390/su12093925.
   Web of Science ®Google Scholar
• Xie C, Batty M, Zhao K. 2007. Simulating emergent urban form using agent-based modeling: desakota in the suzhou-wuxian region in China. Ann. Assoc. Am. Geogr. 97(3):477–495. doi: 10.1111/j.1467-8306.2007.00559.x.
   Web of Science ®Google Scholar
• Yirsaw E, Wu W, Shi X, Temesgen H, Bekele B. 2017. Land use/land cover change modeling and the prediction of subsequent changes in ecosystem service values in a coastal area of China, the Su-Xi-Chang Region. Sustainability. 9(7):1204. doi: 10.3390/su9071204.
   Web of Science ®Google Scholar
• Zekarias T, Vanum G, Kebede Y, Gelaw A. 2021. Geospatial Analysis of Wetland Dynamics on Lake Abaya-Chamo, The Main Rift Valley of Ethiopia. J.Heliyon. 7(9):e07943. doi.org/10.1016 doi: 10.1016/j.heliyon.2021.e07943.
   PubMed Web of Science ®Google Scholar