Farzin Shabani
Title
Cited by
Cited by
Year
Biodegradation of low-density polyethylene (LDPE) by mixed culture of Lysinibacillus xylanilyticus and Aspergillus niger in Soil
A Esmaeili, AA Pourbabaee, HA Alikhani, F Shabani, E Esmaeili
Plosone 8 (9), e71720, 2013
1472013
A comparison of absolute performance of different correlative and mechanistic species distribution models in an independent area
F Shabani, L Kumar, M Ahmadi
Ecology and Evolution, 2016
962016
Climate change impacts on the future distribution of date palms: a modeling exercise using CLIMEX
F Shabani, L Kumar, S Taylor
Plosone 7 (10), e48021, 2012
882012
Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX).
NYZ RAMIREZ-CABRAL, L KUMAR, F SHABANI
Scientific Reports - Nature, 2017
672017
GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight-of-evidence and their ensemble techniques
MS Tehrany, F Shabani, MN Jebur, H Hong, W Chen, X Xie
Geomatics, Natural Hazards and Risk, 2017
652017
Improvement to the prediction of the USLE K factor
F Shabani, L Kumar, A Esmaeili
Geomorphology 204, 229-234, 2014
502014
Future distributions of Fusarium oxysporum f. spp. in European, Middle Eastern and North African agricultural regions under climate change
F Shabani, L Kumar, A Esmaeili
Agriculture, ecosystems & environment 197, 96-105, 2014
472014
Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques
Tehrany. M., Jones. S, Shabani. F.
Catena 175, 174-192, 2019
442019
A Novel Ensemble Modelling Approach for the Spatial Prediction of Tropical Forest Fire Susceptibility Using Logitboost Machine Learning Classifier and Multi-source Geospatial Data
M Tehrany, S Jones, F Shabani, F Álvarez, T Bui
Theoretical and Applied Climatology, 2018
362018
World climate suitability projections to 2050 and 2100 for growing oil palm
N Paterson. R., Kumar. L., Shabani. F., Lima
The Journal of Agricultural Science, 2017
352017
Risk levels of Invasive Fusarium oxysporum f. sp. in areas suitable for date palm (Phoenix dactylifera) cultivation under various climate change projections
F Shabani, L Kumar
Plosone 8 (12), e83404, 2013
322013
Central Composite Design Optimization of Zinc Removal from Contaminated Soil, Using Citric Acid as Biodegradable Chelant
F Asadzadeh, M Maleki-Kaklar, N Soiltanalinejad, F Shabani
Scientific Reports - Nature 8 (1), 2633, 2018
312018
Potential risk levels of invasive Neoleucinodes elegantalis (small tomato borer) in areas optimal for open field Solanum lycopersicum (tomato) cultivation in the present and …
PM Silva. R., Kumar. L., Shabani. F.
Pest Management Science, 2016
26*2016
Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods
MS Tehrany, L Kumar, MN Jebur, F Shabani
Geomatics, Natural Hazards and Risk 10 (1), 2018
25*2018
Assessing accuracy methods of species distribution models: AUC, Specificity, Sensitivity and the True Skill Statistic
F Shabani, L Kumar, M Ahmadi.
Global Journal of Human Social Sciences, 2018
242018
The greening of the Himalayas and Tibetan Plateau under climate change
P Lamsal, L Kumar, F Shabani, K Atreya
Global and Planetary Change, 2017
232017
Mapping global risk levels of Bemisia tabaci in areas of suitability for open field tomato cultivation under current and future climates
MC Ramos. R., Kumar, L., Shabani, F., Picanço
PLoSONE 13 (6), e0198925, 2018
22*2018
Projecting date palm distribution in Iran under climate change using topography, physicochemical soil properties, soil taxonomy, land use, and climate data
F Shabani, L Kumar, S Taylor
Theoretical and Applied Climatology 118 (3), 553-567, 2014
222014
Sensitivity analysis of CLIMEX parameters in modeling potential distribution of Phoenix dactylifera L
F Shabani, L Kumar
Plosone 9 (4), e94867, 2014
212014
Suitable regions for date palm cultivation in Iran are predicted to increase substantially under future climate change scenarios
F Shabani, L Kumar, S Taylor
The Journal of Agricultural Science 152 (04), 543-557, 2013
212013
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Articles 1–20