(SQ: Scopus quartile based on scimagojr.com/journalrank.php, IF: Impact factor)

1. Ahmadi M, ShafapourTehrani M, Özener H, Yilmaz O, Kalantar B, Shabani F (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, doi:10.1016/j.eti.2024.103666, SQ: Q1, IF: 7.75.
2. Ahmadi M, Nawaz M, Asadi H, Hemami M, Naderi M, ShafapourTehrani M, Shabani F (2024) Protecting alpine biodiversity in the Middle East from climate change: implications for high-elevation birds, Diversity and Distributions, doi:10.1111/ddi.13826, SQ: Q1, IF: 5.71.
3. Abbaszad P, Asadzadeh F, Rezapour S, Aqdam K, Shabani 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, doi: 10.1007/s40808-023-01916-x, SQ: Q1, IF: 3.0.
4. Shabani F, Shafapourtehrany M, Ahmadi M, Kalantar B, Özener 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, doi:10.1016/j.eti.2023.103331, SQ: Q1, IF: 7.75.
5. Shafapourtehrany M, Rezaie F, Jun C, Heggy E, Bateni S, Panahi M, Özener H, Shabani F, Moeini H (2023) Mapping post-earthquake landslide susceptibility using U-Net, VGG-16, VGG-19, and metaheuristic algorithms, Remote Sensing, doi:10.3390/rs15184501, SQ: Q1, IF: 4.5.
6. Borges C, Veloso R, Conceição C, Mendes D, Ramirez-Cabral N, Shabani F, Shafapourtehrany M, Nery M, Silva R (2023) Forecasting Brassica napus production under climate change with a mechanistic species distribution model, Scientific Reports, doi:10.1038/s41598-023-38910-3, SQ: Q1, IF:4.92.
7. Llewelyn J, Strona G, Dickman C, Greenville A, Wardle G, Lee M, Doherty S, Shabani F, Saltre F, Bradshaw C (2023) Predicting predator-prey interactions in terrestrial endotherms using random forest, Ecography, doi:10.1111/ecog.06619, SQ: Q1, IF: 6.8.
8. Saeidi V, Seydi ST, Kalantar B, Ueda N, Tajfirooz B, Shabani F (2023) Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence, Geomatics, Natural Hazards and Risk, doi:10.1080/19475705.2023.2225691, SQ: Q1, IF: 3.92.
9. Ejaz M, Jaoua S, Ahmadi M, Shabani F (2023) An examination of how climate change could affect the future spread of Fusarium spp. around the world, using correlative models to model the changes, Environmental Technology & Innovation, doi:10.1016/j.eti.2023.103177, SQ: Q1, IF: 7.75.
10. Shafapourtehrany M, Batur M, Shabani F, Pradhan B, Kalantar B, Özener H (2023) A comprehensive review of geospatial technology applications in earthquake preparedness, emergency management, and damage assessment, Remote Sensing, doi: 10.3390/rs13132638, SQ: Q1, IF: 4.5.
11. Hosseinzadeh S, Mohseni N, Wu G, Shabani F (2023) Response of termite mounds to changes of geomorphic forms and processes and associated edaphic variations, Catena, doi:1016/j.catena.2023.107021, SQ: Q1, IF: 6.37.
12. Ahmadi M, Hemami M, Kaboli M, Shabani F (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. doi 10.22541/au.166358351.13231963/v1, SQ: Q1, IF: 2.91.
13. Tabassum S, Beaumont L, Shabani F, Staas L, Griffiths G, Ossola A, Leishman L (2023) Which Plant Where: a plant selection tool for changing urban climates, Arboriculture & Urban Forestry, doi:10.48044/jauf.2023.015, SQ: Q2, IF: 0.25.
14. Araújo F, Santos JC, Santos JB, Silva A, Ramos R, Silva R, Shabani F (2023) Spread of Striga asiatica through suitable climatic conditions: risk assessment in new areas producing Zea mays in South America, Journal of Arid Environments doi:10.1016/j.jaridenv.2022.104924, SQ: Q2, IF: 2.75.
15. Shafapourtehrany M, Yariyan P, Özener H, Pradhan B, Shabani F (2022) Evaluating the Application of K-mean Clustering in Earthquake Vulnerability Mapping of Istanbul, Turkey, International Journal of Disaster Risk Reduction doi: 10.1016/j.ijdrr.2022.103154, SQ: Q1, IF: 4.32.
16. Araújo F, Santos J, Silva A, Ramos R, Silva R, Shabani F (2022) Modelling climate suitability for Striga asiatica, a potential invasive weed of cereal crops, Crop Protection doi:10.1016/j.cropro.2022.106050, SQ: Q1, IF: 2.57.
17. Santos M, Silva R, Soares M, Lopes É, Shabani F (2022) Global risks of Bedellia somnulentella (Lepidoptera: Bedelliidae) invasion: a modeling exercise using a mechanistic model, CLIMEX, Theoretical and Applied Climatology doi: 10.1007/s00704-022-04051-2, SQ: Q2, IF: 3.17.
18. Kalantar B; Ueda N; Saeidi V; Janizadeh S; Shabani FZ; Ahmadi K; Shabani F (2021) Deep neural network utilizing remote sensing datasets for flood hazard modelling in Brisbane, Australia, Remote Sensing doi: 10.3390/rs13132638, SQ: Q1, IF: 4.5.
19. Tehrany M; Özener H; Kalantar B; Ueda N; Habibi M; Shabani FZ; Saeidi V; Shabani F (2021) Application of an ensemble statistical approach in spatial predictions of bushfire probability and risk mapping, Sensors doi: 10.1155/2021/6638241, SQ: Q2, IF: 1.59
20. Kalantar B; Ueda N; Idrees M; Janizadeh S; Ahmadi K; Shabani F (2020) Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data, Remote Sensing doi: 10.3390/rs12223682, SQ: Q1, IF: 4.5.
21. Kalantar B, Ueda N, Saeidi V, Ahmadi K, Abdul Halin A, Shabani F (2020) Landslide Susceptibility Mapping: Machine and Ensemble Learning based on Remote Sensing Big Data, Remote Sensing doi: 10.3390/rs12111737, SQ: Q1, IF: 4.5.
22. Shabani F, Ahmadi M, Kumar L, Solhjouy-fard S, Tehrany 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 doi: 10.​1016/​j.​ecolind.​2020.​106436, SQ: Q1, IF: 4.49.
23. Tshering K, Thinley P, Tehrany M, Thinley U, Shabani F (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. doi: 10.3390/forecast2020003
24. Pourghasemi HR, Kornejady A, Kerle N, Shabani F (2020) Investigating the effects of different landslide positioning techniques, landslide partitioning approaches, and presence-absence balances on landslide susceptibility mapping, Catena. doi: 10.1016/j.catena.2019.104364, SQ: Q1, IF: 3.85.
25. Tehrany M, Kumar L, Shabani F (2019) A novel GIS-based ensemble technique for flood susceptibility mapping using evidential belief function and support vector machine: Brisbane, Australia, PeerJ, doi: 10.7717/peerj.7653, SQ: Q1, IF: 2.35.
26. Shabani F, Ahmadi M, Peters K, Haberle S, Champreux A, Saltré F, Bradshaw CJA (2019) Climate-driven shifts in the distribution of koala browse species from the Last Interglacial to the near future, Ecography, 42, 1587–1599, doi: 10.1111/ecog.04530, SQ: Q1, IF: 6.8.
27. Mohseni N, Mohseni A, Karimi A, Shabani F (2019) Impact of geomorphic disturbance on spatial variability of soil CO₂ flux within a depositional landform, Land Degradation & Development, doi: 10.1002/ldr.3375, SQ: Q1, IF: 4.27.
28. Ramos R, Kumar L, Shabani F, Picanço M (2019) Risk of spread of tomato yellow leaf curl virus (TYLCV) in tomato crops under various climate change scenarios, Agricultural Systems, doi:10.1016/j.agsy.2019.03.020, SQ: Q1, IF: 4.13.
29. Asadzadeh F, Maleki-Kaklar M, Shabani F (2019) Predicting cationic exchange capacity in calcareous soils of East-Azerbaijan province, northwest Iran, Communications in Soil Science and Plant Analysis. doi: 10.1080/00103624.2019.1604728, SQ: Q2, IF: 0.68
30. Ostovari Y, Ghorbani-Dashtaki S, Kumar L, Shabani F (2019) Soil erodibility and its prediction in semi-arid regions, Archives of Agronomy and Soil Science. doi:10.1080/03650340.2019.1575509, SQ: Q2, IF: 2.25.
31. Ramos R, Kumar L, Shabani F, Silva R, Araújo T, Picanço M (2019) Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops, International Journal of Biometeorology. doi:10.1007/s00484-018-01661-2, SQ: Q2, IF: 2.37.
32. Tehrany M, Jones S, Shabani F (2019) Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques, Catena. doi:10.1016/j.catena.2018.12.011, SQ: Q1, IF: 3.85.
33. Tehrany M, Jones S, Shabani F, Martínez Álvarez 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. doi:10.1007/s00704-018-2628-9, SQ: Q2, IF: 2.72.
34. Shabani F, Kumar L, Shidi R (2018) Impacts of climate change on infestations of Dubas bug (Ommatissus lybicus Bergevin) on date palms in Oman, PeerJ, 1–25. doi:10.7717/peerj.5545, SQ: Q1, IF: 2.35.
35. Tehrany M, Kumar L, Neamah Jebur M, Shabani F (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. doi:10.1080/19475705.2018.1506509, SQ: Q1, IF: 3.53.
36. Silva R, Kumar L, Shabani F, Ribeiro A, Picanço M (2018) Dry stress decreases areas suitable for Neoleucinodes elegantalis (Lepidoptera: Crambidae) and affects its survival under climate predictions in South America, Ecological Informatics, 46, 103–113. doi:10.1016/j.ecoinf.2018.06.003, SQ: Q2, IF: 2.31.
37. Ramos R, Kumar L, Shabani F, Picanço M (2018) Mapping global risk levels of Bemisia tabaci in areas of suitability for open field tomato cultivation under current and future climates, PLoS One. doi:10.1371/journal.pone.0198925, SQ: Q1, IF: 2.77.
38. Shabani F, Tehrany M, Solhjouy-fard S, Kumar L (2018) A comparative modeling study on non-climatic and climatic risk assessment on Asian Tiger Mosquito (Aedes albopictus), PeerJ, 1–25. doi:10.7717/peerj.4474, SQ: Q1, IF: 2.35.
39. Shabani F, 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, 18(1), IF: NA.
40. Khataar M, Mohammadi M, Shabani F (2018) Soil salinity and matric potential interaction on water use efficiency and yield response factor of bean and wheat, Scientific Reports, 8.1. doi:10.1038/s41598-018-20968-z, SQ: Q1, IF:4.92.
41. Asadzadeh F, Maleki-Kaklar M, Soiltanalinejad N, Shabani F (2018) Central composite design optimization of zinc removal from contaminated soil, using citric acid as biodegradable chelant, Scientific Reports, 8.1. doi:10.1038/s41598-018-20942-9, SQ: Q1, IF: 4.92.
42. Cabral N, Kumar L, Shabani F (2018) Suitable areas of Phakopsora pachyrhizi, Spodoptera exigua and their host plant Phaseolus vulgaris are projected to reduce and shift due to climate change, Theoretical and Applied Climatology. 135: 409–424. doi:10.1007/s00704-018-2385-9, SQ: Q2, IF: 2.72.
43. Cabral N, Kumar L, Shabani F (2017) Future climate scenarios project a decrease in the risk of fall armyworm outbreaks, Journal of Agricultural Science, 155, 1219–1238. doi:10.1017/S0021859617000314, SQ: Q2, IF: 1.33.
44. Tehrany M, Shabani F, 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 Risk8: 1538–1561. doi:10.1080/19475705.2017.1362038, SQ: Q1, IF: 3.92
45. Silva R, Kumar L, Shabani F, Picanço 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 and Neoleucinodes elegantalis as an example, Theoretical and Applied Climatology, 132,135–144. doi:10.1007/s00704-017-2072-2, SQ: Q2, IF: 2.72.
46. Cabral N, Kumar L, Shabani F (2017) Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX). Scientific Reports, 7.1. doi:10.1038/s41598-017-05804-0, SQ: Q1, IF: 4.92.
47. Shabani F, Kumar L, Ahmadi M (2017) Climate modelling shows increased risk to Eucalyptus sideroxylon on the eastern coast of Australia compared to Eucalyptus albens, Plants, 6, 58,1–16. doi:10.3390/plants6040058, IF: 2.63.
48. Shabani F, 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, 39,1–36. doi:10.1016/j.jnc.2017.06.004, SQ: Q2, IF: 2.28.
49. Tehrany M, Shabani F, 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, 8 (2), 1695–1714. doi:10.1080/19475705.2017.1384406, SQ: Q1, IF: 3.53.
50. Cabral N, Kumar L, Shabani F (2017) Global risk levels for corn rusts (Puccinia sorghi and P. polysora) under climate change projections, Journal of Phytopathology, 165(9), 563–574. doi:10.1111/jph.12593, SQ: Q2, IF: 1.09.
51. Lamsal P, Kumar L, Shabani F, Atreya K (2017) The greening of the Himalayas and Tibetan Plateau under climate change, Global and Planetary Change, 159, 77–92. doi:10.1016/j.gloplacha.2017.09.010, SQ: Q1, IF: 4.1.
52. Mohseni N, Sepehr A, Hosseinzadeh S, Golzarian M, Shabani F (2017) Variations in spatial patterns of soil-vegetation properties and the emergence of multiple resilience thresholds within different debris flow fan positions, Geomorphology, 290, 365–375. doi:10.1016/j.geomorph.2017.04.023, SQ: Q1, IF: 3.68.
53. Paterson R, Kumar L, Shabani F, Lima N (2017) World climate suitability projections to 2050 and 2100 for growing oil palm, Journal of Agricultural Science, 155 (5), 689–702. doi:10.1017/S0021859616000605. SQ: Q2, IF: 1.33.
54. Mohseni N, Sepehr A, Hosseinzadeh S, Golzarian M, Shabani F (2017) Variations in spatial patterns of soil–vegetation properties over subsidence-related ground fissures at an arid ecotone in northeastern Iran, Environmental Earth Sciences, 74, 234–247. doi:10.1007/s12665-017-6559-z, SQ: Q1, IF: 1.87.
55. Allbed A, Kumar L, Shabani F (2017) Climate change impacts on date palm cultivation in Saudi Arabia, The Journal of Agricultural Science, 155(8), 1203-1218. doi:10.1017/S0021859617000260, SQ: Q2, IF: 1.33.
56. Shabani F, Kumar L, Solhjouy-fard S (2016) Variances in the projections, resulting from CLIMEX, boosted regression trees and random forests techniques, Theoretical and Applied Climatology, 129(3-4), 801-814. doi:10.1007/s00704-016-1812-z, SQ: Q2, IF: 2.72.
57. Silva R, Kumar L, Shabani F, Picanço M (2016) Potential risk levels of invasive Neoleucinodes elegantalis (small tomato borer) in areas optimal for open field Solanum lycopersicum (tomato) cultivation in the present and under predicted climate change. Pest Management Science, 73(3), 616–627. doi:10.1002/ps.4344, SQ: Q1, IF: 3.25.
58. Shabani F, 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, 6(16), 5973–5986. doi:10.1002/ece3.2332, SQ: Q1, IF: 2.53.
59. Silva R, Kumar L, Shabani F, Picanço M (2016) Assessing the impact of global warming on worldwide open field tomato cultivation through CSIRO-Mk3·0 global climate model, Journal of Agricultural Science, 155, 407–420. doi:10.1017/S0021859616000654, SQ: Q2, IF: 1.33.
60. Shabani F, Cacho O, Kumar L (2016) Effects of climate change on economic feasibility of future date palm production: an integrated assessment in Iran, Human and Ecological Risk Assessment, 22, 1268-1287. doi:10.1080/10807039.2016.1162089, SQ: Q1, IF: 5.2.
61. Silva R, Kumar L, Shabani F, Picanço M, Silva Ézio, Galdino T (2016) Spatio-temporal dynamic climate model for Neoleucinodes elegantalis using CLIMEX, International Journal of Biometeorology, 61:785–795. doi:10.1007/s00484-016-1256-2, SQ: Q2, IF: 2.37.
62. Shabani F, 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, 96(4), 1132–1140. doi:10.1002/jsfa.7195, SQ: Q1, IF: 2.42.
63. Shabani F, Kumar L (2015) Should species distribution models use only native or exotic records of existence or both? Ecological Informatics 29, 57–65. doi:10.1016/j.ecoinf.2015.07.006, SQ: Q2, IF: 2.31.
64. Shabani F, Kotey B (2015) Future distribution of cotton and wheat in Australia under potential climate change, Journal of Agricultural Science, 154(02), 175–185. doi:10.1017/S0021859615000398, SQ: Q2, IF: 1.33.
65. Shabani F, Kumar L, Taylor S (2015) Distribution of date palms in the middle east based on future climate change scenarios, Experimental Agriculture, 51(02), 244–263. doi:10.1017/S001447971400026X, SQ: Q2, IF: 2.08.
66. Shabani F, Kumar L, Esmaeili A (2015) A modelling implementation of climate change on biodegradation of low-density polyethylene (LDPE) by Aspergillus Niger in soil, Global Ecology and Conservation, 4 388–398 . doi:10.1016/j.gecco.2015.08.003, SQ: Q2, IF: 2.75.
67. Bahemmat M, Farahbakhsh M, Shabani F (2015) Compositional and metabolic quotient analysis of heavy metal contaminated soil after electroremediation, Environmental Earth Sciences, 74(6), 4639–4648. doi:10.1007/s12665-015-4429-0, SQ: Q1, IF: 1.87.
68. Shabani F, 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, 118(3), 553–567. doi:10.1007/s00704-013-1064-0, SQ: Q2, IF: 2.72.
69. Shabani F, Kumar L, Esmaeili A (2014) Future distributions of Fusarium oxysporum f. Spp. in European, Middle Eastern and north African agricultural regions under climate change, Agriculture, Ecosystems & Environment 197: 96–105. doi:10.1016/j.agee.2014.08.005, SQ: Q1, IF: 3.95.
70. Shabani F, Kumar L, Esmaeili A (2014) Improvement to the prediction of the USLE K factor, Geomorphology, 204, 229–234. doi:10.1016/j.geomorph.2013.08.008, SQ: Q1, IF: 3.68.
71. Esmaeili A, Pourbabaee A, Alikhani H, Shabani F, Kumar L (2014) Colonization and biodegradation of photo-oxidized low-density polyethylene (LDPE) by new strains of Aspergillus sp. and Lysinibacillus sp, Bioremediation Journal, 18(3), 213–226. doi:10.1080/10889868.2014.917269, SQ: Q2, IF: 1.35.
72. Shabani F, Kumar L (2014) Sensitivity analysis of CLIMEX parameters in modeling potential distribution of Phoenix dactylifera L. PLoS One 9(4): e94867. doi:10.1371/journal.pone.0094867, SQ: Q1, IF: 2.77.
73. Shabani F, 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, 152(04), 543–557. doi:10.1017/S0021859613000816, SQ: Q2, IF: 1.33.
74. Esmaeili A, Pourbabaee A, Alikhani H, Shabani F (2013) Biodegradation of low-density polyethylene (LDPE) by mixed culture of Lysinibacillus xylanilyticus and Aspergillus Niger in soil, PLoS One, 8(9). doi:10.1371/journal.pone.0071720, SQ: Q1, IF: 2.77.
75. Shabani F, 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, 11(3&4), 2441–2446. SQ: Q3
76. Shabani F, Kumar L (2013) Risk levels of invasive Fusarium oxysporum f. sp. in areas suitable for date palm (Phoenix dactylifera) cultivation under various climate change projections. PLoS One 8(12), e83404. doi:10.1371/journal.pone.0083404, SQ: Q1, IF: 2.77.
77. Shabani F, 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, 4: 145. doi:10.4172/2157- 7617.1000145
78. Shabani F, 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.
79. Saremi H, Kumar L, Sarmadian F, Heidari A, Shabani F (2011) GIS based evaluation of land suitability: A case study for major crops in Zanjan University region, Food, Agriculture & Environment, (9), 741–744, SQ: Q3.

• Conference Proceedings

1. Kalantar B, Seydi S, Ueda N, Saeidi V, Halin A, Shabani F (2022) Deep ensemble learning for land cover classification based on hyperspectral Prisma image, 17-22 July 2022 at Kuala Lumpur, Malaysia.
2. Shabani F, Ahmadi M, Saltré F, Peters K, Haberle S, Bradshaw C (2018) Palaeo and future climate shifts in koala browse species, 25 – 29 Nov 2018 at the Royal International Convention Centre, Brisbane Queensland, Australia.
3. Silva R, Kumar L, Shabani F, Picanço C (2016) Impacts of climate change on suitability of Neoleucinodes elegantalis (tomato borer) in South America, University of New England Postgraduate Conference. Armidale, New South Wales, Australia.
4. Shabani F, 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” 5^th world conference on ecological restoration, 6-11 Oct, Madison, Wisconsin, US.
5. Shabani F, Gorji M, Heidari A, Esmaeili A (2010) Effects of land use types at different slopes on soil erodibility factor. Proceeding of 19^th 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.