{"id":42,"date":"2022-08-30T08:54:22","date_gmt":"2022-08-30T08:54:22","guid":{"rendered":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/?page_id=42"},"modified":"2025-02-04T08:54:55","modified_gmt":"2025-02-04T08:54:55","slug":"publications","status":"publish","type":"page","link":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n
(SQ: Scopus quartile based on scimagojr.com\/journalrank.php<\/a>, IF: Impact factor)<\/h5>\n\n\n\n

Journals<\/strong><\/p>\n\n\n\n

  1. Hubab M, Lorestani N, Al-Awabdeh R, Shabani F<\/strong> (2025) Climate change-driven shifts in the global distribution of tomatoes and potatoes crops and their associated bacterial pathogens, Frontiers in Microbiology<\/em>, doi:10.3389\/fmicb.2025.1520104, SQ: Q1, IF: 4.0.<\/strong><\/li>
  2. Alogaidi A, Asadzadeh F, Rezapour S, Aqdam K, Shabani F<\/strong> (2025) A qualitative evaluation of the impact of land use patterns on soil quality at the northwest region of Iran, Earth Systems and Environment, <\/em>doi:10.1007\/s41748-024-00565-z, SQ: Q1, IF: 5.3.<\/strong><\/li>
  3. Ejaz M, Jaoua S, Lorestani N, Shabani F<\/strong> (2025) Global climate change and its impact on the distribution and efficacy of Bacillus thuringiensis<\/em> as a biopesticide, Science of the Total Environment<\/em>, doi:10.1016\/j.scitotenv.2024.178091, SQ: Q1, IF: 8.2.<\/strong><\/li>
  4. Ahmadi M, Shafapourtehrany M, \u00d6zener H, Yilmaz O, Kalantar B, Shabani<\/strong> F<\/strong> (2024) Eigenvector spatial filtering enhancing natural hazards vulnerability assessment in a susceptible urban environment: a case study of Izmir earthquake in Turkey, Environmental Technology & Innovation, <\/em>doi:10.1016\/j.eti.2024.103666, SQ: Q1, IF: 7.75.<\/strong><\/li>
  5. Ahmadi M, Nawaz M, Asadi H, Hemami M, Naderi M, Shafapourtehrani M, Shabani<\/strong> F<\/strong> (2024) Protecting alpine biodiversity in the Middle East from climate change: implications for high-elevation birds, Diversity and Distributions<\/em>, doi:10.1111\/ddi.13826, SQ: Q1, IF: 5.71.<\/strong><\/li>
  6. Abbaszad P, Asadzadeh F, Rezapour S, Aqdam K, Shabani<\/strong> F (2023) Evaluation of Landsat 8 and Sentinel-2 vegetation indices to predict soil organic carbon using machine learning models, Modeling Earth Systems and Environment, <\/em>doi: 10.1007\/s40808-023-01916-x, SQ: Q1, IF: 3.0.<\/strong><\/li>
  7. Shabani F<\/strong>, Shafapourtehrany M, Ahmadi M, Kalantar B, \u00d6zener H, Clancy K, Esmaeili A, Silva F, Beaumont L, Llewelyn J, Jones S, Ossola A (2023) Habitat in flames: how climate change will affect fire risk across koala forests, Environmental Technology & Innovation, <\/em>doi:10.1016\/j.eti.2023.103331, SQ: Q1, IF: 7.75.<\/strong><\/li>
  8. Shafapourtehrany M, Rezaie F, Jun C, Heggy E, Bateni S, Panahi M, \u00d6zener H, Shabani F<\/strong>, Moeini H (2023) Mapping post-earthquake landslide susceptibility using U-Net, VGG-16, VGG-19, and metaheuristic algorithms, Remote Sensing, <\/em>doi:10.3390\/rs15184501, SQ: Q1, IF: 4.5.<\/strong><\/li>
  9. Borges C, Veloso R, Concei\u00e7\u00e3o C, Mendes D, Ramirez-Cabral N, Shabani F<\/strong>, Shafapourtehrany M, Nery M, Silva R (2023) Forecasting Brassica napus<\/em> production under climate change with a mechanistic species distribution model, Scientific Reports<\/em>, doi:10.1038\/s41598-023-38910-3, SQ: Q1, IF:4.92.<\/strong><\/li>
  10. Llewelyn J, Strona G, Dickman C, Greenville A, Wardle G, Lee M, Doherty S, Shabani F<\/strong>, Saltre F, Bradshaw C (2023) Predicting predator-prey interactions in terrestrial endotherms using random forest, Ecography<\/em>, doi:10.1111\/ecog.06619, SQ: Q1, IF: 6.8.<\/strong><\/li>
  11. Saeidi V, Seydi ST, Kalantar B, Ueda N, Tajfirooz B, Shabani F<\/strong> (2023) Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence, Geomatics, Natural Hazards and Risk<\/em>, doi:10.1080\/19475705.2023.2225691, SQ: Q1, IF: 3.92.<\/strong><\/li>
  12. Ejaz M, Jaoua S, Ahmadi M, Shabani F<\/strong> (2023) An examination of how climate change could affect the future spread of Fusarium <\/em>spp. around the world, using correlative models to model the changes, Environmental Technology & Innovation, <\/em>doi:10.1016\/j.eti.2023.103177, SQ: Q1, IF: 7.75.<\/strong><\/li>
  13. Shafapourtehrany M, Batur M, Shabani F<\/strong>, Pradhan B, Kalantar B, \u00d6zener H (2023) A comprehensive review of geospatial technology applications in earthquake preparedness, emergency management, and damage assessment, Remote Sensing, <\/em>doi: 10.3390\/rs13132638, SQ: Q1, IF: 4.5.<\/strong><\/li>
  14. Hosseinzadeh S, Mohseni N, Wu G, Shabani F<\/strong> (2023) Response of termite mounds to changes of geomorphic forms and processes and associated edaphic variations, Catena,<\/em> doi:1016\/j.catena.2023.107021, SQ: Q1, IF: 6.37.<\/strong><\/li>
  15. Ahmadi M, Hemami M, Kaboli M, Shabani F <\/strong>(2023) MaxEnt brings comparable results when the input data is being completed; model parameterization and background manipulation of four species distribution models, Ecology and Evolution. <\/em>doi 10.22541\/au.166358351.13231963\/v1, SQ: Q1, IF: 2.91.<\/strong><\/li>
  16. Tabassum S, Beaumont L, Shabani F<\/strong>, Staas L, Griffiths G, Ossola A, Leishman L (2023) Which Plant Where: a plant selection tool for changing urban climates, Arboriculture & Urban Forestry,<\/em> doi:10.48044\/jauf.2023.015, SQ: Q2,<\/strong> IF: 0.25.<\/strong><\/li>
  17. Ara\u00fajo F, Santos JC, Santos JB, Silva A, Ramos R, Silva R, Shabani F <\/strong>(2023) Spread of Striga asiatica<\/em> through suitable climatic conditions: risk assessment in new areas producing Zea mays<\/em> in South America, Journal of Arid Environments <\/em>doi:10.1016\/j.jaridenv.2022.104924, SQ: Q2, IF: 2.75.<\/strong><\/li>
  18. Shafapourtehrany M, Yariyan P, \u00d6zener H, Pradhan B, Shabani F<\/strong> (2022) Evaluating the Application of K-mean Clustering in Earthquake Vulnerability Mapping of Istanbul, Turkey, International Journal of Disaster Risk Reduction<\/em> doi: 10.1016\/j.ijdrr.2022.103154, SQ: Q1, IF: 4.32.<\/strong><\/li>
  19. Ara\u00fajo F, Santos J, Silva A, Ramos R, Silva R, Shabani F<\/strong> (2022) Modelling climate suitability for Striga asiatica<\/em>, a potential invasive weed of cereal crops, Crop Protection<\/em> doi:10.1016\/j.cropro.2022.106050, SQ: Q1, IF: 2.57.<\/strong><\/li>
  20. Santos M, Silva R, Soares M, Lopes \u00c9, Shabani F<\/strong> (2022) Global risks of Bedellia somnulentella<\/em> (Lepidoptera: Bedelliidae) invasion: a modeling exercise using a mechanistic model, CLIMEX, Theoretical and Applied Climatology <\/em>doi: 10.1007\/s00704-022-04051-2, SQ: Q2, IF: 3.17.<\/strong><\/li>
  21. Kalantar B; Ueda N; Saeidi V; Janizadeh S; Shabani FZ; Ahmadi K; Shabani F<\/strong> (2021) Deep neural network utilizing remote sensing datasets for flood hazard modelling in Brisbane, Australia, Remote Sensing <\/em>doi: 10.3390\/rs13132638, SQ: Q1, IF: 4.5.<\/strong><\/li>
  22. Shafapourtehrany M; \u00d6zener H; Kalantar B; Ueda N; Habibi M; Shabani FZ; Saeidi V; Shabani F<\/strong> (2021) Application of an ensemble statistical approach in spatial predictions of bushfire probability and risk mapping, Sensors <\/em>doi: 10.1155\/2021\/6638241, SQ: Q2, IF: 1.59<\/strong><\/li>
  23. Kalantar B; Ueda N; Idrees M; Janizadeh S; Ahmadi K; Shabani F<\/strong> (2020) Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data, Remote Sensing <\/em>doi: 10.3390\/rs12223682, SQ: Q1, IF: 4.5.<\/strong><\/li>
  24. Kalantar B, Ueda N, Saeidi V, Ahmadi K, Abdul Halin A, Shabani F<\/strong> (2020) Landslide Susceptibility Mapping: Machine and Ensemble Learning based on Remote Sensing Big Data, Remote Sensing <\/em>doi: 10.3390\/rs12111737, SQ: Q1, IF: 4.5.<\/strong><\/li>
  25. Shabani F<\/strong>, Ahmadi M, Kumar L, Solhjouy-fard S, Shafapourtehrany M, Shabani FZ, Kalantar B, Esmaeili, A (2020) Invasive weed species threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate, Ecological Indicators<\/em> doi: 10.\u200b1016\/\u200bj.\u200becolind.\u200b2020.\u200b106436, SQ: Q1, IF: 4.49.<\/strong><\/li>
  26. Tshering K, Thinley P, Shafapourtehrany M, Thinley U, Shabani F<\/strong> (2020) A comparison of the qualitative Analytic Hierarchy Process and the quantitative Frequency Ratio techniques in predicting forest fire-prone areas in Bhutan using GIS, Forecasting-MDPI<\/em>. doi: 10.3390\/forecast2020003<\/li>
  27. Pourghasemi HR, Kornejady A, Kerle N, Shabani F <\/strong>(2020) Investigating the effects of different landslide positioning techniques, landslide partitioning approaches, and presence-absence balances on landslide susceptibility mapping, Catena<\/em>. doi: 10.1016\/j.catena.2019.104364, SQ: Q1, IF: 3.85.<\/strong><\/li>
  28. Shafapourtehrany M, Kumar L, Shabani F<\/strong> (2019) A novel GIS-based ensemble technique for flood susceptibility mapping using evidential belief function and support vector machine: Brisbane, Australia, PeerJ<\/em>, doi: 10.7717\/peerj.7653, SQ: Q1, IF: 2.35.<\/strong><\/li>
  29. Shabani F<\/strong>, Ahmadi M, Peters K, Haberle S, Champreux A, Saltr\u00e9 F, Bradshaw CJA (2019) Climate-driven shifts in the distribution of koala browse species from the Last Interglacial to the near future, Ecography<\/em>, 42, 1587\u20131599, doi: 10.1111\/ecog.04530, SQ: Q1, IF: 6.8.<\/strong><\/li>
  30. Mohseni N, Mohseni A, Karimi A, Shabani F<\/strong> (2019) Impact of geomorphic disturbance on spatial variability of soil CO2<\/sub> flux within a depositional landform, Land Degradation & Development<\/em>, doi: 10.1002\/ldr.3375, SQ: Q1, IF: 4.27.<\/strong><\/li>
  31. Ramos R, Kumar L, Shabani F, <\/strong>Pican\u00e7o M (2019) Risk of spread of tomato yellow leaf curl virus (TYLCV) in tomato crops under various climate change scenarios, Agricultural Systems<\/em>, doi:10.1016\/j.agsy.2019.03.020, SQ: Q1, IF: 4.13.<\/strong><\/li>
  32. Asadzadeh F, Maleki-Kaklar M, Shabani F<\/strong> (2019) Predicting cationic exchange capacity in calcareous soils of East-Azerbaijan province, northwest Iran, Communications in Soil Science and Plant Analysis. <\/em>doi: 10.1080\/00103624.2019.1604728, SQ: Q2, IF: 0.68<\/strong><\/li>
  33. Ostovari Y, Ghorbani-Dashtaki S, Kumar L, Shabani F <\/strong>(2019) Soil erodibility and its prediction in semi-arid regions, Archives of Agronomy and Soil Science<\/em>. doi:10.1080\/03650340.2019.1575509, SQ: Q2, IF: 2.25.<\/strong><\/li>
  34. Ramos R, Kumar L, Shabani F, <\/strong>Silva R, Ara\u00fajo T, Pican\u00e7o M (2019) Climate model for seasonal variation in Bemisia tabaci<\/em> using CLIMEX in tomato crops, International Journal of Biometeorology<\/em>. doi:10.1007\/s00484-018-01661-2, SQ: Q2, IF: 2.37.<\/strong><\/li>
  35. Shafapourtehrany M, Jones S, Shabani F <\/strong>(2019) Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques, Catena<\/em>. doi:10.1016\/j.catena.2018.12.011, SQ: Q1, IF: 3.85.<\/strong><\/li>
  36. Shafapourtehrany M, Jones S, Shabani F, <\/strong>Mart\u00ednez \u00c1lvarez F, Tien Bui D (2018) A novel ensemble modelling approach for the spatial prediction of tropical forest fire susceptibility using logitboost machine learning classifier and multi-source geospatial data, Theoretical and Applied Climatology<\/em>. doi:10.1007\/s00704-018-2628-9, SQ: Q2, IF: 2.72.<\/strong><\/li>
  37. Shabani F,<\/strong> Kumar L, Shidi R (2018) Impacts of climate change on infestations of Dubas bug (Ommatissus lybicus<\/em> Bergevin) on date palms in Oman, PeerJ<\/em>, 1\u201325. doi:10.7717\/peerj.5545, SQ: Q1, IF: 2.35<\/strong>.<\/li>
  38. Shafapourtehrany M, Kumar L, Neamah Jebur M, Shabani F<\/strong> (2018) Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods, Geomatics, Natural Hazards and Risk<\/em>. doi:10.1080\/19475705.2018.1506509, SQ: Q1, IF: 3.53.<\/strong><\/li>
  39. Silva R, Kumar L, Shabani F, <\/strong>Ribeiro A, Pican\u00e7o M (2018) Dry stress decreases areas suitable for Neoleucinodes elegantalis<\/em> (Lepidoptera: Crambidae) and affects its survival under climate predictions in South America, Ecological Informatics<\/em>, 46, 103\u2013113. doi:10.1016\/j.ecoinf.2018.06.003, SQ: Q2, IF: 2.31.<\/strong><\/li>
  40. Ramos R, Kumar L, Shabani F,<\/strong> Pican\u00e7o M (2018) Mapping global risk levels of Bemisia tabaci<\/em> in areas of suitability for open field tomato cultivation under current and future climates, PLoS One<\/em>. doi:10.1371\/journal.pone.0198925, SQ: Q1, IF: 2.77.<\/strong><\/li>
  41. Shabani F, <\/strong>Shafapourtehrany M, Solhjouy-fard S, Kumar L (2018) A comparative modeling study on non-climatic and climatic risk assessment on Asian Tiger Mosquito (Aedes albopictus<\/em>), PeerJ<\/em>, 1\u201325. doi:10.7717\/peerj.4474, SQ: Q1, IF: 2.35.<\/strong><\/li>
  42. Shabani F, <\/strong>Kumar L, Ahmadi M (2018) Assessing accuracy methods of species distribution models: AUC, Specificity, Sensitivity and the True Skill Statistic, Global Journal of Human Social Sciences<\/em>, 18(1), IF: NA.<\/li>
  43. Khataar M, Mohammadi M, Shabani F<\/strong> (2018) Soil salinity and matric potential interaction on water use efficiency and yield response factor of bean and wheat, Scientific Reports, <\/em>8.1. doi:10.1038\/s41598-018-20968-z, SQ: Q1, IF:4.92.<\/strong><\/li>
  44. Asadzadeh F, Maleki-Kaklar M, Soiltanalinejad N, Shabani F<\/strong> (2018) Central composite design optimization of zinc removal from contaminated soil, using citric acid as biodegradable chelant, Scientific Reports,<\/em> 8.1. doi:10.1038\/s41598-018-20942-9, SQ: Q1, IF: 4.92.<\/strong><\/li>
  45. Cabral N, Kumar L, Shabani F <\/strong>(2018) Suitable areas of Phakopsora pachyrhizi<\/em>, Spodoptera exigua<\/em> and their host plant Phaseolus vulgaris<\/em> are projected to reduce and shift due to climate change, Theoretical and Applied Climatology<\/em>. 135: 409\u2013424. doi:10.1007\/s00704-018-2385-9, SQ: Q2, IF: 2.72.<\/strong><\/li>
  46. Cabral N, Kumar L, Shabani F <\/strong>(2017) Future climate scenarios project a decrease in the risk of fall armyworm outbreaks, Journal of Agricultural Science<\/em>, 155, 1219\u20131238. doi:10.1017\/S0021859617000314, SQ: Q2, IF: 1.33.<\/strong><\/li>
  47. Shafapourtehrany M, Shabani F, <\/strong>Neamah Jebur M, Hong H, Cheng W, Xie X (2017) GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight-of-evidence and their ensemble techniques. Geomatics, Natural Hazards and Risk<\/em>8: 1538\u20131561. doi:10.1080\/19475705.2017.1362038, SQ: Q1, <\/strong>IF: 3.92<\/strong><\/li>
  48. Silva R, Kumar L, Shabani F, <\/strong>Pican\u00e7o M (2017) An analysis of sensitivity of CLIMEX parameters in mapping species potential distribution and the broad-scale changes observed with minor variations in parameters values: An investigation using open field Solanum lycopersicum<\/em> and Neoleucinodes elegantalis<\/em> as an example, Theoretical and Applied Climatology<\/em>, 132,135\u2013144. doi:10.1007\/s00704-017-2072-2, SQ: Q2, IF: 2.72.<\/strong><\/li>
  49. Cabral N, Kumar L, Shabani F <\/strong>(2017) Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX). Scientific Reports, <\/em>7.1. doi:10.1038\/s41598-017-05804-0, SQ: Q1, <\/strong>IF: 4.92.<\/strong><\/li>
  50. Shabani F, <\/strong>Kumar L, Ahmadi M (2017) Climate modelling shows increased risk to Eucalyptus sideroxylon<\/em> on the eastern coast of Australia compared to Eucalyptus albens<\/em>, Plants<\/em>, 6, 58,1\u201316. doi:10.3390\/plants6040058, IF: 2.63.<\/strong><\/li>
  51. Shabani F,<\/strong> Kumar L, Ahmadi M, Esmaeili A (2017) Are research efforts on Animalia in the South Pacific associated with the conservation status or population trends?, Journal for Nature Conservation,<\/em> 39,1\u201336. doi:10.1016\/j.jnc.2017.06.004, SQ: Q2,<\/strong> IF: 2.28.<\/strong><\/li>
  52. Shafapourtehrany M, Shabani F,<\/strong> Javier D, Kumar L (2017) Soil erosion susceptibility mapping for current and 2100 climate conditions using evidential belief function and frequency ratio, Geomatics, Natural Hazards and Risk<\/em>, 8 (2), 1695\u20131714. doi:10.1080\/19475705.2017.1384406, SQ: Q1, IF: 3.53.<\/strong><\/li>
  53. Cabral N, Kumar L, Shabani F <\/strong>(2017) Global risk levels for corn rusts (Puccinia sorghi<\/em> and P<\/em>. polysora<\/em>) under climate change projections, Journal of Phytopathology<\/em>, 165(9), 563\u2013574. doi:10.1111\/jph.12593, SQ: Q2,<\/strong> IF: 1.09.<\/strong><\/li>
  54. Lamsal P, Kumar L, Shabani F, <\/strong>Atreya K (2017) The greening of the Himalayas and Tibetan Plateau under climate change, Global and Planetary Change<\/em>, 159, 77\u201392. doi:10.1016\/j.gloplacha.2017.09.010, SQ: Q1, IF: 4.1.<\/strong><\/li>
  55. Mohseni N, Sepehr A, Hosseinzadeh S, Golzarian M, Shabani F <\/strong>(2017) Variations in spatial patterns of soil-vegetation properties and the emergence of multiple resilience thresholds within different debris flow fan positions, Geomorphology<\/em>, 290, 365\u2013375. doi:10.1016\/j.geomorph.2017.04.023, SQ: Q1,<\/strong> IF: 3.68.<\/strong><\/li>
  56. Paterson R, Kumar L, Shabani F, <\/strong>Lima N (2017) World climate suitability projections to 2050 and 2100 for growing oil palm, Journal of Agricultural Science<\/em>, 155 (5), 689\u2013702. doi:10.1017\/S0021859616000605. SQ: Q2, IF: 1.33.<\/strong><\/li>
  57. Mohseni N, Sepehr A, Hosseinzadeh S, Golzarian M, Shabani F <\/strong>(2017) Variations in spatial patterns of soil\u2013vegetation properties over subsidence-related ground fissures at an arid ecotone in northeastern Iran, Environmental Earth Sciences<\/em>, 74, 234\u2013247. doi:10.1007\/s12665-017-6559-z, SQ: Q1, IF: 1.87.<\/strong><\/li>
  58. Allbed A, Kumar L, Shabani F<\/strong> (2017) Climate change impacts on date palm cultivation in Saudi Arabia, The Journal of Agricultural Science<\/em>, 155(8), 1203-1218. doi:10.1017\/S0021859617000260, SQ: Q2, IF: 1.33.<\/strong><\/li>
  59. Shabani F, <\/strong>Kumar L, Solhjouy-fard S (2016) Variances in the projections, resulting from CLIMEX, boosted regression trees and random forests techniques, Theoretical and Applied Climatology<\/em>, 129(3-4), 801-814. doi:10.1007\/s00704-016-1812-z, SQ: Q2, IF: 2.72.<\/strong><\/li>
  60. Silva R, Kumar L, Shabani F, <\/strong>Pican\u00e7o M (2016) Potential risk levels of invasive Neoleucinodes elegantalis<\/em> (small tomato borer) in areas optimal for open field Solanum lycopersicum<\/em> (tomato) cultivation in the present and under predicted climate change. Pest Management Science,<\/em> 73(3), 616\u2013627. doi:10.1002\/ps.4344, SQ: Q1,<\/strong> <\/strong>IF: 3.25.<\/strong><\/li>
  61. Shabani F, <\/strong>Kumar L, Ahmadi M (2016) A comparison of absolute performance of different correlative and mechanistic species distribution models in an independent area. Ecology and Evolution,<\/em> 6(16), 5973\u20135986. doi:10.1002\/ece3.2332, SQ: Q1, <\/strong>IF: 2.53.<\/strong><\/li>
  62. Silva R, Kumar L, Shabani F, <\/strong>Pican\u00e7o M (2016) Assessing the impact of global warming on worldwide open field tomato cultivation through CSIRO-Mk3\u00b70 global climate model, Journal of Agricultural Science<\/em>, 155, 407\u2013420. doi:10.1017\/S0021859616000654, SQ: Q2, IF: 1.33.<\/strong><\/li>
  63. Shabani F,<\/strong> Cacho O, Kumar L (2016) Effects of climate change on economic feasibility of future date palm production: an integrated assessment in Iran, Human and<\/em> Ecological Risk Assessment,<\/em> 22, 1268-1287. doi:10.1080\/10807039.2016.1162089, SQ: Q1, IF: 5.2.<\/strong><\/li>
  64. Silva R, Kumar L, Shabani F,<\/strong> Pican\u00e7o M, Silva \u00c9zio, Galdino T (2016) Spatio-temporal dynamic climate model for Neoleucinodes elegantalis<\/em> using CLIMEX, International Journal of Biometeorology<\/em>, 61:785\u2013795. doi:10.1007\/s00484-016-1256-2, SQ: Q2, IF: 2.37.<\/strong><\/li>
  65. Shabani F,<\/strong> Kumar L, Esmaeili A, Nojoumian A, Toghyani M (2015) Projected future distribution of date palms and its potential use in alleviating micronutrient deficiency, Journal of the Science of Food and Agriculture<\/em>, 96(4), 1132\u20131140. doi:10.1002\/jsfa.7195, SQ: Q1, IF: 2.42.<\/strong><\/li>
  66. Shabani F,<\/strong> Kumar L (2015) Should species distribution models use only native or exotic records of existence or both? Ecological Informatics<\/em> 29, 57\u201365. doi:10.1016\/j.ecoinf.2015.07.006, SQ: Q2, <\/strong>IF: 2.31.<\/strong><\/li>
  67. Shabani F, <\/strong>Kotey B (2015) Future distribution of cotton and wheat in Australia under potential climate change, Journal of Agricultural Science<\/em>, 154(02), 175\u2013185. doi:10.1017\/S0021859615000398, SQ: Q2, IF: 1.33.<\/strong><\/li>
  68. Shabani F, <\/strong>Kumar L, Taylor S (2015) Distribution of date palms in the middle east based on future climate change scenarios, Experimental Agriculture<\/em>, 51(02), 244\u2013263. doi:10.1017\/S001447971400026X, SQ: Q2,<\/strong> IF: 2.08.<\/strong><\/li>
  69. Shabani F,<\/strong> Kumar L, Esmaeili A (2015) A modelling implementation of climate change on biodegradation of low-density polyethylene (LDPE) by Aspergillus Niger <\/em>in soil, Global Ecology and Conservation<\/em>, 4 388\u2013398 . doi:10.1016\/j.gecco.2015.08.003, SQ: Q2, IF: 2.75.<\/strong><\/li>
  70. Bahemmat M, Farahbakhsh M, Shabani F <\/strong>(2015) Compositional and metabolic quotient analysis of heavy metal contaminated soil after electroremediation, Environmental Earth Sciences<\/em>, 74(6), 4639\u20134648. doi:10.1007\/s12665-015-4429-0, SQ: Q1, IF: 1.87.<\/strong><\/li>
  71. Shabani F, <\/strong>Kumar L, Taylor S (2014) Projecting date palm distribution in Iran under climate change using topography, physicochemical soil properties, soil taxonomy, land use and climate data, Theoretical and Applied Climatology<\/em>, 118(3), 553\u2013567. doi:10.1007\/s00704-013-1064-0, SQ: Q2,<\/strong> IF: 2.72.<\/strong><\/li>
  72. Shabani F,<\/strong> Kumar L, Esmaeili A (2014) Future distributions of Fusarium oxysporum<\/em> f. Spp. in European, Middle Eastern and north African agricultural regions under climate change, Agriculture, Ecosystems & Environment<\/em> 197: 96\u2013105. doi:10.1016\/j.agee.2014.08.005, SQ: Q1, <\/strong>IF: 3.95.<\/strong><\/li>
  73. Shabani F, <\/strong>Kumar L, Esmaeili A (2014) Improvement to the prediction of the USLE K factor, Geomorphology, <\/em>204, 229\u2013234. doi:10.1016\/j.geomorph.2013.08.008, SQ: Q1, <\/strong>IF: 3.68.<\/strong><\/li>
  74. Esmaeili A, Pourbabaee A, Alikhani H, Shabani F, <\/strong>Kumar L (2014) Colonization and biodegradation of photo-oxidized low-density polyethylene (LDPE) by new strains of Aspergillus<\/em> sp. and Lysinibacillus<\/em> sp, Bioremediation Journal<\/em>, 18(3), 213\u2013226. doi:10.1080\/10889868.2014.917269, SQ: Q2, IF: 1.35.<\/strong><\/li>
  75. Shabani F, <\/strong>Kumar L (2014) Sensitivity analysis of CLIMEX parameters in modeling potential distribution of Phoenix dactylifera<\/em> L. PLoS One<\/em> 9(4): e94867. doi:10.1371\/journal.pone.0094867, SQ: Q1, <\/strong>IF: 2.77.<\/strong><\/li>
  76. Shabani F,<\/strong> Kumar L, Taylor S (2013) Suitable regions for date palm cultivation in Iran are predicted to increase substantially under future climate scenarios, Journal of Agricultural Science<\/em>, 152(04), 543\u2013557. doi:10.1017\/S0021859613000816, SQ: Q2, IF: 1.33.<\/strong><\/li>
  77. Esmaeili A, Pourbabaee A, Alikhani H, Shabani F <\/strong>(2013) Biodegradation of low-density polyethylene (LDPE) by mixed culture of Lysinibacillus xylanilyticus<\/em> and Aspergillus Niger<\/em> in soil, PLoS One<\/em>, 8(9). doi:10.1371\/journal.pone.0071720, SQ: Q1, IF: 2.77.<\/strong><\/li>
  78. Shabani F, <\/strong>Kumar L, Esmaeili A, Saremi H (2013) Climate change will lead to larger areas of Spain being conducive to date palm cultivation, Food, Agriculture & Environment<\/em>, 11(3&4), 2441\u20132446. SQ: Q3<\/strong><\/li>
  79. Shabani F, <\/strong>Kumar L (2013) Risk levels of invasive Fusarium oxysporum<\/em> f. sp. in areas suitable for date palm (Phoenix dactylifera<\/em>) cultivation under various climate change projections. PLoS One<\/em> 8(12), e83404. doi:10.1371\/journal.pone.0083404, SQ: Q1, <\/strong>IF: 2.77.<\/strong><\/li>
  80. Shabani F,<\/strong> Kumar L, Esmaeili A (2013) Use of CLIMEX, land use and topography to refine areas suitable for date palm cultivation in Spain under climate change scenarios, Journal of Earth Science and Climatic Change<\/em>, 4: 145. doi:10.4172\/2157- 7617.1000145<\/li>
  81. Shabani F<\/strong>, Kumar L, Taylor S (2012) Climate change impacts on the future distribution of date palms: a modelling exercise using CLIMEX. PLoS One 7: e48021. doi:10.1371\/journal.pone.0048021, SQ: Q1, IF: 2.77.<\/strong><\/li>
  82. Saremi H, Kumar L, Sarmadian F, Heidari A, Shabani F<\/strong> (2011) GIS based evaluation of land suitability: A case study for major crops in Zanjan University region, Food, Agriculture & Environment<\/em>, (9), 741\u2013744, SQ: Q3<\/strong>.<\/li><\/ol>\n\n\n\n
     <\/h5>\n\n\n\n

    Conference Proceedings<\/strong><\/p>\n\n\n\n

    1. Kalantar B, Seydi S, Ueda N, Saeidi V, Halin A, Shabani F <\/strong>(2022) Deep ensemble learning for land cover classification based on hyperspectral Prisma image, 17-22 July 2022 at Kuala Lumpur, Malaysia.<\/li>
    2. Shabani F<\/strong>, Ahmadi M, Saltr\u00e9 F, Peters K, Haberle S, Bradshaw C (2018) Palaeo and future climate shifts in koala browse species, 25 \u2013 29 Nov 2018 at the Royal International Convention Centre, Brisbane Queensland, Australia.<\/li>
    3. Silva R, Kumar L, Shabani F<\/strong>, Pican\u00e7o C (2016) Impacts of climate change on suitability of Neoleucinodes <\/em>elegantalis (tomato borer) in South America, University of New England Postgraduate Conference. Armidale, New South Wales, Australia.<\/li>
    4. Shabani F<\/strong>, Kumar L, Esmaeili A, (2013) Use of climex and non-climatic parameters to refine areas suitable for date palm cultivation in spain under various climate change scenarios\u201d 5th<\/sup> world conference on ecological restoration, 6-11 Oct, Madison, Wisconsin, US.<\/li>
    5. Shabani F, <\/strong>Gorji M, Heidari A, Esmaeili A (2010) Effects of land use types at different slopes on soil erodibility factor. Proceeding of 19th<\/sup> world congress of soil science, Division Symposium 2.2 Management of landscapes for the future, Pdf number is 1483; page number is 14, Brisbane, Queensland, Australia.<\/a><\/li><\/ol>\n\n\n\n

      <\/p>\n","protected":false},"excerpt":{"rendered":"

      (SQ: Scopus quartile based on scimagojr.com\/journalrank.php, IF: Impact factor) Journals Hubab M, Lorestani N, Al-Awabdeh R, Shabani F (2025) Climate […]<\/p>\n","protected":false},"author":1335,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-42","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/wp-json\/wp\/v2\/pages\/42","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/wp-json\/wp\/v2\/users\/1335"}],"replies":[{"embeddable":true,"href":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/wp-json\/wp\/v2\/comments?post=42"}],"version-history":[{"count":15,"href":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/wp-json\/wp\/v2\/pages\/42\/revisions"}],"predecessor-version":[{"id":353,"href":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/wp-json\/wp\/v2\/pages\/42\/revisions\/353"}],"wp:attachment":[{"href":"http:\/\/qufaculty.qu.edu.qa\/fshabani\/wp-json\/wp\/v2\/media?parent=42"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}