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Md Mizanur Rahman(博士后)

时间:[2021-11-22]  来源:

I. Name   Dr. Md Mizanur Rahman

II. Education

2019 PhD in Agricultural Science, Kyoto University, 

Japan

2012 Master of Science in Forestry, Khulna University,

 Bangladesh

2009 Bachelor of Science (Hons) in Forestry, Khulna University, Bangladesh.

III. Research Background

I am a forest ecologist with 10+ years’ experiences in the fields of forest carbon, biodiversity and climate change and have collaborations with different national and international organizations, including NASA. Through my research, I explore the spatial and temporal variations of forest carbon, biodiversity (including functional traits diversity), and their interactions with climate change with ultimate goals for understanding the fundamental mechanisms regulating climate-biodiversity-ecosystem functioning. I use highly multi-disciplinary approaches (e.g. field, remote sensing, and ecosystem modeling) for my research. Since 2014, I have published 15 articles in peer reviewed journals, including Nature Communications, Environmental Research Letters, Remote Sensing in Ecology and Conservation, and Remote Sensing

IV. Community Service

Topic   Editor

Remote Sensing (01/2021-01/2023)

Member

The   Japanese Forest Society (2016)

Member

International Biogeography Society (2015-2016)

Reviewer

Remote Sensing (IF2020=4.848),

Remote Sensing in Ecology and  Conservation (IF2020=5.481),

Carbon Management (IF2020=3.182)

  








V. ReWork experience

02/2019–Ongoing

Postdoctoral   Researcher, Henan University, China

04/2017–01/ 2019

Teaching Assistant, Kyoto University,   Japan

07/2016–09/2016

NASA   Visiting Fellow, NASA Goddard Space Flight Centre, MD, USA

02/2014–08/2015

Junior   Professional, Center for Environmental and GIS, Bangladesh

01/2013–01/2014

Research   Assistant, Indiana University, Bloomington, USA.

08/2011–12/2012

Field   Assistant, Khulna University, Bangladesh

06/2010–07/2011

Research   Assistant, Khulna University, Bangladesh

12/2009–05/2010

Carbon Inventory Analyst, USAID and Bangladesh   Forest Department.

VI.  Awards
Award

2021

College of Geography and Environmental Science Performance Award

2016

Visiting Fellow, SilvaCarbon Bangladesh, United States Forest Services   International Program

Rank 1 out of 400   applicants in Bangladesh.  

2016

Travelling award for an international mangrove conference in Florida   USA; Kyoto University, Japan

2015

Monbukagakusho (MEXT) Scholarship (PhD) Kyoto University, Japan

Highly competitive prestigious PhD scholarship offer by Japan

VII.  Research grants

Research grants

2021-2022

PI, Co-benefits of protecting mangroves for   conserving biodiversity and storing

carbon:   a regional study. Henan Provincial Government, China; Amount: $12245.52

2017-2019

Co-PI, Canopy height and carbon stocks assessment in Bangladesh. The   German

Aerospace Centre, Germany.

 


VIII. Selective publications

a. Rahman, M.M., Zimmer, M., Ahmed, I., Donato, D, Kanzaki, M.; Xu, M. (2021). Co-benefits of protecting mangroves for biodiversity conservation and carbon storage. Nature Communications, 12, 3875. (IF2020=14.919, Rank in Multidisciplinary Sciences=4/73, Q1)

b. Rahman, M.M., Zhang, X., Ahmed, I., Iqbal, Z., Zeraatpisheh, M., Kanzaki, M., Xu, M. (2020). Remote Sensing-Based Mapping of Senescent Leaf C: N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques. Remote Sensing, 12, 1375. (IF2020=4.848, Rank in Geosciences, Multidisciplinary=27/199, Q1).

c. Rahman, M. M., Lagomasino, D., Lee, S.K., Fatoyinbo, T. E., Ahmed, I., and Kanzaki, M. (2019). Improved assessment of mangrove forests in Sundarbans East Wildlife Sanctuary using WorldView 2 and TanDEM‐X high resolution imagery. Remote Sensing in Ecology and Conservation, 5, 136–149. (IF2020=5.481, Rank in Ecology=16/336, Q1).

d. Sanderman, J., and 25 coauthors (including Rahman, M.M.), (2018). A global map of mangrove forest soil carbon at 30 m spatial resolution. Environmental Research Letters, 13, 055002. (IF2020=6.793, Rank in Environmental Sciences=33/274, Q1, Top 1% highly cited paper).

e. Rahman, M.M., Khan, M. N.I. Hoque, A.K. F. and Ahmed, I. (2015). Carbon stork in the Sundarbans mangrove forest: Spatial variations in vegetation types and salinity zones. Wetlands Ecology and Management; 23:269–283. (IF2020=1.34, Rank in Agricultural and Biological Sciences, Ecology, Evolution, Behavior and Systematics=278/647, Q2, Google Scholar Citation=118 as of August 20, 2021).

f. Rahman, M. M., Kabir, M. E., Akon, A.S.M.J.U., and Ando, K. (2015). High carbon stocks in roadside plantations under participatory management in Bangladesh. Global Ecology and Conservation, 3, 411-423. (IF2020=3.8, Rank in Biodiversity Conservation: 13/60, Q1).

g. Rahman, M.M., Kabir, M.E., Ahmed, I., (2017). Protected Areas for Climate Change Mitigation and Livelihood Option: A Case Study of the Bangladesh Sundarbans Mangrove Forest, in: DasGupta, R., Shaw, R. (Eds.), Participatory Mangrove Management in a Changing Climate. Springer Japan, Tokyo, pp. 119-136. (Book Chapter)

h. Rahman, M.M., Das, K. A., Asaduzzman, M., Biswas, S.K. and Hannan, M. O. (2014). Physical and Mechanical Properties of Raj Koroi (Albizia Richardiana) Plywood. African Journal of Wood Science and Forestry, 2 (1): 098-103. (Non-SCI)

IX. Oral presentations

a. Rahman, M.M. Rahman, M.M. (2020). Predictability of Landsat TM 5 for leaf carbon to nitrogen ratio in Sundarbans Mangrove Forest: an application of Machine learning regression. ECOSUMMIT2020, building a sustainable and desirable future: Adapting to a changing land and sea-scape; Gold Coast, Queensland, Australia. Postponed to 21-25/06/2022 (online)

b. Rahman, M.M., 2016. Carbon stocks in relation to vegetation type, tree diversity and tree height class in Sundarbans: an application of high-resolution imagery. NASA Goddard Space Flight Centre, 8800 Greenbelt Rd, Greenbelt, MD, USA. 22/09/2016

c. Rahman, M.M., Lagomasino, D., Lee, S.K., Fatoyinbo, T. E., Kanzaki, M. (2016). Carbon stocks in relation to vegetation type, tree diversity and tree height class in Sundarbans: an application of high-resolution imagery. International program Office, US Forest Service, One Thomas Circle, 3rd floor conference room, Washington DC, USA. 12/09/2016

X. Student co-supervised at Khulna University and Sher-e-Bangla Agricultural University

6 Masters Students- Carbon, stand structure, and biodiversity in tree outside forest (2013-2015)

XI. Related professional skills

R, Google Co-laboratory, ArcMap, Quantum GIS, ENVI, SNAP, Google Earth Engine (Python),

Machine learning modeling and structural equation modeling.


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