Dr Farzin Shabani

Postdoctoral Fellow - School of Environmental and Rural Science

Farzin Shabani

Phone: +61 2 6773 5878

Mobile: 422154886

Email: fshaban2@une.edu.au

Biography

I am particularly interested in the area of climate change impacts on biodiversity and plant species. I have been involved in teaching GIS, Remote Sensing and Image Analysis courses for undergraduate and postgraduate students at UNE (EM334/534 & EM432/EM532). I was one of the GIS specialists in the Commonwealth Department of Environment Pacific Climate Change Project (a national project carried out by my PhD supervisor) for the Australian government during 2013 and 2014.

ORCID:  orcid.org/0000-0002-5100-8921

Scopus ID: 54384121800

Google Scholar Author Profile

Skype ID: farzin.shabani1984

Employment and Work Experience

2016- Present

  • Ecosystem Management, School of Environmental & Rural Science, University of New England, Armidale, NSW, Australia. Postdoctoral fellow

2012- 2015

  • I have been an instructor for GIS courses at UNE (Introduction to GIS unit number EM334/534).
  • I was one of the GIS specialists in the Pacific Project (a national project for the Australian government) during 2013 and 2014.
  • Raster and Vector Data models were one of the principal objectives I taught to UNE’s student in “Introduction to GIS” course (EMS334/534).
  • Enviroag Company, GIS Specialist for four months, Armidale, 2350, NSW, Australia

2007-2010

  • In Chakad Co.GIS (Geographic Information System) as a manager consultant for three years (Part time)

Qualifications

  • 2012-2016 - University of New England, Australia. PhD.  Title of Thesis: 'Modeling the impact of climate change on future distribution of date palm'
  • 2008-2010 - University of Tehran, Iran. M.Sc. Physics of Soil, Soil Erosion and Conservation. Title of Thesis: 'Effects of land use types at different slopes on soil erodibility factor'
  • 2003-2007 - University of Guilan, Iran. B.Sc. of Soil science. Title of Thesis: 'Determination of chemistry properties of soil on special zone of forest where located in the North of Iran'

Research Interests

  • Climate change and climate modeling
  • Future species distribution modeling
  • Soil and Physics of Soil
  • Erosion
  • Biodegradation
  • GIS and RS
  • Correlative and mechanistic models

Current research project

Project: Modelling of Dubas Bug Habitat and Population Density in Oman Based on Associations with Human, Environmental and Climatological Factors

Funded by: Oman Research Council, $690,000.

Summary: Climatological and environmental conditions are very important in determining the distribution and survival of any species, both plants and animals, and the same applies to the Dubas bug. Understanding the distribution and affinity of the bug to variables can play a key role in mapping, control and management, including resource allocation (spray teams, field personnel, etc.).

This research will use tools and techniques available in modern spatial analysis packages, such as Geographic Information Systems and Remote Sensing, to model and develop spatial links and correlations between presence/absence/density of Dubas bugs with climatological, environmental and human factors and conditions. We will develop GIS layers that give the density and distribution of the bug infestation levels and the stress observed in the date palms, and link them with rainfall patterns, humidity, wind direction, temperature, soil salinity, irrigation practices, farming practices, etc. to investigate correlates. We will also investigate whether soil types, geology, aspect, slope, elevation and available solar radiation play any part in enhancing the development, survival and spread of the Dubas bug. We will also use combinations of some of these variables, such as the humid-thermal index (HTI) to gain an understanding of preferred environments of the Dubas bug. This research will start off by using single variables to develop correlations and then move onto more complicated predictive models and regression analysis where we incorporate all factors to investigate what combinations of factors are the most conducive to the survival and spread of the bugs.

We will use modern geostatistical techniques and statistics to look at hot spots and clustering of the bugs and investigate why they are clustered in certain regions/conditions. These techniques will help us identify the most important variables or combinations of variables that help the Dubas bug develop, prosper and migrate.

The project will also use remote sensing tools and satellite images to develop early detection techniques for the Dubas bug at broad scales. We will use satellite images to map the spatial distribution of the bug, and possibly do this on a temporal scale as well to see the directions and speed of spread. The output, especially the spatial distribution and spread images, will be used as inputs to the GIS-based predictive models.

This project will also look at issues such as:

  1. Human-related factors, such as aerial spraying. It will be of value to gather aerial and ground insecticide spraying data for the past 10 to 20 years and correlate these with current bug densities and densities of key natural enemies.
  2. Cultural practices such as planting distance, irrigation, fertilization, pruning and sanitation should be also considered in any model to explain distribution and density of the Dubas bug.
  3. Biotic factors such as species and densities of natural enemies (predators, parasitoids, parasites, and pathogens). Even if the environment and climate is conducive, but there is significant mortality due to natural enemies then Dubas bug densities will effectively be lower.
  4. We will use modern geostatistical techniques and statistics such as Geary’s Index, Morans I, Getis- Ord Gi*, Ripley's K-Function, etc. to look at hot spots and clustering of the bugs and investigate why they are clustered in certain regions/conditions. These techniques will help us identify the most important variables or combinations of variables that help the Dubas bug develop, prosper and migrate. Once the factors and combinations of factors have been identified we will then use these to develop predictive models that will be able to give us the probability of occurrence, spatial distribution and densities under different environmental, climatological and resource availability conditions. These models then could be used to forecast the spatial distribution and densities of the bugs under prevailing conditions at the beginning of each bug season. These results in-turn could be used for management purposes and for decision making as to where to direct resources for preventive action. A second, but linked, part of this project will use remote sensing tools and satellite images to develop early detection techniques for Dubas bug at broad scales. We will use images such as Quickbird (both panchromatic and multispectral) and/or the new 8-band WorldView images to map the spatial distribution of the bug, and possibly do this on a temporal scale as well to see the directions and speed of spread. We intend to use the new hyperspectral remote sensing techniques to develop early pre-visual detection of the Dubas bug. The output, especially the spatial distribution and spread images, will be used as inputs to the GIS-based predictive models.

Selected research projects involved in

  • Climate change impacts on the future distribution of plants and invasive species
  • Flora and Fauna Assessment for the Origin Energy company
  • Improvement to the USLE (Universal Soil Loss Equation) formula
  • Biodegradation of low-density polyethylene (LDPE) by mixed culture of Lysinibacillus xylanilyticus and Aspergillus niger in soil
  • Colonization and Biodegradation of Low-density Polyethylene (LDPE) by New Strains of Aspergillus sp. and Lysinibacillus sp.
  • GIS based evaluation of land suitability
  • Effects of land use types at different slopes on soil erodibility factor
  • A Comparison to Efficiency Enhancement Possibility of Bioremediation in Soils Polluted by Polycyclic Aromatic Hydrocarbons (PAHs) by Using Sawdust and Sand
  • Isolation of low density polyethylene degrading
  • Reducing Malnutrition, A Modeling Implementation of Climate Change

Publications

Journal Papers

SQ: Scopus quartile

IF: Impact Factor

C: Citation

2017

1. Cabral. N., Kumar. L., Shabani. F., (ACCEPTED: 03/May/2017) “Future climate scenarios predict a decrease of fall armyworm risk in outbreaks”, The Journal of Agricultural Science, SQ: Q2, IF: 1.291, C: 0

DOI: 10.1017/S0021859617000314

2. Silva. R., Kumar. L., Shabani. F., Picanço. M., (ACCEPTED:  22/Feb/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, SQ: Q2, IF: 2.64, C: 1
DOI: 10.1007/s00704-017-2072-2

3. 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 SQ: , IF: , C:

DOI: 10.3390/plants6040058

4. 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, SQ: Q2, IF: 1.67, C: 0

DOI: http://dx.doi.org/10.1016/j.jnc.2017.06.004

5. 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 SQ: Q2, IF: 1.71, C: 0
DOI: 10.1080/19475705.2017.1384406

6. 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 Risk,8 (2), 1538-1561,SQ: Q2, IF: 1.71, C: 1

DOI: https://doi.org/10.1080/19475705.2017.1362038

7. 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, SQ: Q2, IF: 0.85, C: 0

DOI: 10.1111/jph.12593

8. 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, SQ: Q1, IF: 3.91, C: 0

DOI: https://doi.org/10.1016/j.gloplacha.2017.09.010

9. 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 – (Nature), SQ: Q1, IF: 5.22, C: 2

DOI: 10.1038/s41598-017-05804-0

10. 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, SQ: Q1, IF: 2.95, C: 1

DOI: http://dx.doi.org/10.1016/j.geomorph.2017.04.023

11. Paterson. R., Kumar. L., Shabani. F., Lima, N., (2017) “World climate suitability projections to 2050 and 2100 for growing oil palm”, The Journal of Agricultural Science, 155 (5), 689-702, SQ: Q2, IF: 1.291, C: 1

DOI: 10.1017/S0021859616000605

12. 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, SQ:Q1, IF: 1.56, C: 0

DOI: 10.1007/s12665-017-6559-z

13. 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, SQ: Q2, IF: 1.291, C: 0

DOI: https://doi.org/10.1017/S0021859617000260

2016

14. 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,SQ: Q1, IF: 2.44, C: 13

DOI: 10.1002/ece3.2332

15. 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, SQ: Q1, IF: 3.25, C: 7

DOI: 10.1002/ps.4344

16. 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, SQ: Q2, IF: 2.64, C: 2

DOI: 10.1007/s00704-016-1812-z

17. 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”, The Journal of Agricultural Science, 155, 407-420, SQ: Q2, IF: 1.291,C: 2

DOI: 10.1017/S0021859616000654

18. 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: An International Journal, 22, 1268-1287, SQ:Q3, IF: 1.56, C: 1

DOI: 10.1080/10807039.2016.1162089

19. Silva. R., Kumar. L., Shabani. F., Picanço. M., Silva. Ézio., Galdino. T., (2016) “Spatio-temporal dynamic climate model for Neoleucinodeselegantalis using CLIMEX”, International Journal of Biometeorology, 61:785-795, SQ:Q2, IF: 2.204, C: 0

DOI: 10.1007/s00484-016-1256-2

2015

20. Shabani. F., Kumar. L., Esmaeili. A., Nojoumian. A.H., 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,  SQ:Q1, IF: 2.46,C: 8

DOI: 10.1002/jsfa.7195

21. Shabani. F., & Kotey. b., (2015) “Future distribution of cotton and wheat in Australia under potential climate change”, TheJournal of Agricultural Science, 154(02), 175-185, SQ:Q2, IF: 1.291, C: 11

DOI: 10.1017/S0021859615000398

22. Shabani. F., & Kumar. L., (2015) “Should species distribution models use only native or exotic records of existence or both?”, Ecological Informatics, 29, 57-65, SQ:Q2,IF:2.02, C: 9

DOI: doi:10.1016/j.ecoinf.2015.07.006

23. 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, SQ: Q2, IF: 1.069, C: 14

DOI: 10.1017/S001447971400026X

24. 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, SQ:Q2, IF: 0.412, C: 4

DOI: http://dx.doi.org/10.1016/j.gecco.2015.08.003

25. 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, SQ:Q1, IF: 1.76, C: 3

DOI: 10.1007/s12665-015-4429-0

2014

26. Shabani. F., Kumar. L., Esmaeili. A., (2014) “Improvement to the prediction of the K factor of USLE”, Geomorphology, 204, 229-234, SQ:Q1, IF: 2.95, C: 13

DOI: 10.1016/j.geomorph.2013.08.008

27. Shabani. F., Kumar. L., Esmaeili. A., (2014) “Future distributions and risk of Fusarium oxysporum f. Spp. in european, middle eastern and north african agricultural regions under climate change”, Agriculture, Ecosystems & Environment, 197, 96-105, SQ: Q1, IF: 4.09, C: 24

DOI: 10.1016/j.agee.2014.08.005

28. Shabani. F., Kumar. L., (2014) “Sensitivity analysis of climex parameters in modeling potential distribution of Phoenix dactylifera L.”, PLoSONE, 9(4), e94867, SQ:Q1, IF: 3.73, C: 12

DOI: 10.1371/journal.pone.0094867

29. 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), 553-56, SQ:Q2, IF: 2.64,C: 15

DOI: 10.1007/s00704-013-1064-0

30. Esmaeili. A., Pourbabaee. A., Alikhani. H., Shabani. F. and 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, SQ:Q3, IF: 0.784, C: 5

DOI: 10.1080/10889868.2014.917269

2013

31. Shabani. F., Kumar. L., Taylor. S., (2013) “Suitable regions for date palm cultivation in Iran are predicted to increase substantially under future climate scenarios”, The Journal of Agricultural Science, 152(04), 543-557, SQ: Q2, IF: 1.291, C: 16 DOI:10.1017/S0021859613000816

32. 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”, PLoSONE, 8(12), e83404, SQ:Q1, IF: 3.73, C: 18

DOI: 10.1371/journal.pone.0083404

33. 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”, PLoSONE, 8(9), e71720, SQ:Q1, IF: 3.73, C: 53

DOI: 10.1371/journal.pone.0071720

34. 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, IF: 0.44, C: 6

35. 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 & Climatic Change, 4: 145., IF: 1.66, C: 14 DOI:10.4172/2157- 7617.1000145

2012

36. Shabani. F., Kumar. L., Taylor. S., (2012) “Climate change impacts on the future distribution of Date Palms: A modelling exercise using CLIMEX”, PLoSONE, 7(10), e48021, , SQ:Q1,IF: 3.73, C: 52

DOI: 10.1371/journal.pone.0048021

2011

37. 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, IF: 0.44, C: 4

Conference Publications

38. Silva, Ricardo Siqueira da, Kumar, L., Shabani, F., Picanço, Marcelo Coutinho., 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.

39. 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” 5th world conference on ecological restoration, 6-11 Oct, Madison, Wisconsin, USA.

40. Shabani. F., Gorji, M., Heidari. A., Esmaeili. A., (2010) “Effects of land use types at different slopes on soil erodibility factor”. Proceeding of 19th 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. C: 2

41. Shabani. F., Jafari, J., Esmaeili. A., Kamrani. R., (2010) “A Comparison to Efficiency Enhancement Possibility of Bioremediation in Soils Polluted by Polycyclic Aromatic Hydrocarbons (PAHs) by Using Sawdust and Sand” (Case Study: Probably Polluted Soils In Ghazvin Road). Proceeding of Second International Symposium on Environmental Engineering, Pdf number is 141, January 19-21, K.N. Toosi University of Technology, Tehran, Iran.

42. Esmaeili. A., Pourbabaee. A., Alikhani. H., Shabani. F., (2010) “Isolation of low-density polyethylene degrading microorganisms from Tehran landfill soils”, Proceeding of 16th National and 4th International Conference of Biology, Pdf number is 49, Ferdowsi University of Mashhad, Mashhad, Iran 14-16.

Research Supervision Experience

  • Ms Nadiezhda Yakovleva Zitz Ramirez Cabral, PhD student
  • Ms Rasha Ayad Jawad Al-Jaryian, PhD student
  • Mr Al Shidir Rashdi Hamdan Saif, PhD student
  • Mr Ricardo Silva, PhD student  (completed)
  • Ms Maryam Afzali, PhD student

Mentor Research Assistant

  • Ms Amal Allbed
  • Mr Pramod Lamsal

Further Information

Awards

  • Chancellor's doctoral research Medal for excellence in the University of New England Doctor Of Philosophy.
  • University of New England International Postgraduate Research Scholarship (IPRS)
  • University of New England Keith and Dorothy Mackay Travelling Scholarship

Academic Editor

  • Scientific Reports - Nature

Ad-Hoc Journal Reviews

  • Scientific Reports – Nature
  • PLOS ONE
  • International Journal of Biometeorology
  • Agriculture, Ecosystems & Environment
  • The Journal of Agricultural Science
  • Climatic Change
  • Climate Research - Inter Research
  • Pedosphere
  • Journal of Earth Science & Climatic Change
  • Bioremediation Journal
  • Pest Management Science
  • Scandinavian Journal of Forest Research