Lab Instructor

School of Marine Science and Engineering

Nanjing Normal University

No.2 Xuelin Road

Qixia District, Nanjing City, Jiangsu Province, China

Office Phone: (86)25-85898551

Mobile Phone: (86)18905165870

FAX: (86)25-85898551

E-Mail:  yufeiw@njnu.edu.cn

EMPLOYMENT                                                            

5. Lab Instructor, 07/2018-to present, School of Marine Science and Engineering, Nanjing Normal University, China
5. Assistant Professor, 01/2011-06/2018, School of Geographic Science, Nanjing Normal University, Nanjing, China

 

EDUCATION                                                           

Ph.D. Ecology and Evolution with Graduate GIScience Certificate, May. 2010, Rutgers University, New Brunswick, NJ, USA

M.S. Statistics,  Jan. 2009,  Rutgers University, New Brunswick, NJ, USA

M.S. Geography, July 2002,  Nanjing University, Nanjing, China

B.S.  Geography, July 1996,  Nanjing University, Nanjing, China

 

RESEARCH  INTERESTS                                               

• Historical climate change and its impacts on environment and ecosystems
• Terrestrial Ecosystem processes and climate interaction, especially energy, water, carbon exchange among soil, vegetation, and atmosphere and terrestrial responses/feedbacks to global climate change
• Measuring and modeling ecological patterns and processes
• Applying Remote Sensing and GIS techniques in ecosystem modeling.
• Spatial analysis in land use change modeling 
   

Publication:

Wang Yufei, Sun Yan, Zhang Hong (2016). Application of Census Mapping on Modeling Loss Assessment of Flood Disaster. Journal of Economics of Water Resources (in Chinese).

ZEWEI MIAO, MING XU, RICHARD G. LATHROP JR. & YUFEI WANG (2008). Comparison of the A–Cc curve fitting methods in determining maximum ribulose 1·5-bisphosphate carboxylase/oxygenase carboxylation rate, potential light saturated electron transport rate and leaf dark respiration. Plant, Cell & Environment.

Wang Yufei, Pu Lijie (2002). A Review on the ¹³⁷Cs Application in the soil Erosion Study in China. Journal of Nanjing University (in Chinese).

 

RESEARCH EXPERIENCE

 

Delaware River Basin Commission, NJ		Environment Modeler/Analyst
Supervisor: Dr. Namsoo Suk		2009 fall –April 2010

Project: Stage II of PCB TMDLs modeling in the Delaware Estuary.

50. Objective:  To develop a total maximum daily load (TMDL) for polychlorinated biphenyls (PCBs) for the Delaware river basin from the head of the Delaware river to the mouth of the Bay at Cape May to achieve and maintain the applicable water quality criteria for PCBs designed to protect human health from the carcinogenic effects of eating the contaminated fish found in the Delaware Estuary.
50. Primary work:

• Data analysis, compilation, model input preparation, model runs, model output post processing, etc.  
• Support field work to collect water samples for PCBs, toxics, conventional nutrients, etc. along the Delaware river. Also set up and collect air filters for sampling atmospheric deposition in the field of Camden, NJ and Lums Pond Park, DE.
• Involve in load estimates from point source discharges, non-point sources including atmospheric nitrogen deposition, etc. to develop nutrients criteria for the Delaware Estuary.
• Review the literature and try to design the 2^nd approach which will be using ¹³⁷Cs to trace the deposition of PCBs and interaction between river bed and water, rather than using back-scaling methodology which was used in the stage I. 

 

Department of Ecology, Rutgers University The Grant F. Walton Center for Remote Sensing and Spatial Analysis		Doctoral Research
Dissertation chair: Ming Xu, Ph.D.		2005 fall –2010 spring

Project: Historical Climate Change in China over 300 Years.

50. Objective: Use historical records to represent past climate and provide direct evidence of trends and patterns of past climate change and examine its impact on environment, ecosystem and human society.
50. Methods: Used Proc SQL to extract, query and joint tables to generate data for temporal and spatial analysis. Performed Pearson correlation test by using Proc Corr; conducting wavelet analysis to explore the coherencies between variables at different frequencies by using SOWAS package in R; mapped spatial patterns of past climate variables, performed hot spot analysis and fitted Geographically Weighted Regression Model in ArcGIS.
50. Results: Historical recorded poor harvest, locust plague, and famine are all related with recorded floods/drought over Qing Dynasty. All of recorded variables are related with reconstructed climate series. The variables show strong non-stationary in terms of both spatial and temporal scale. That is, wavelet analysis and GWR are more appropriate methods for modeling variables with local variations. Among climatic variables, drought shows most significant effect on ecosystem and human society. The sequence of effect can be shown as drought—locust/poor harvest—famine.

 

 

Department of Ecology, Rutgers University		Research Assistant
Supervisor: Dr. Joan Ehrenfeld		2009 fall – 2010 spring

Project: Native Plant Demonstration Project.

50. Objective:  To promote the regeneration of native woody species in the Morristown National Historical Park, New Jersey, the first national historical park at United States. And to create an exotic, invasive plant management plan which would help to effectively target and prioritize the control of problem species
50. Methods:

• Remove invasive plant or add native species in sub-plots and conduct vegetation sampling in 3 seasons for 3 year.  
• Manipulated soil properties by installing fence to exclude white-tailed deer and adding wood chop or fertilizer to change carbon and nitrate content in the soil.
• Soil sampling and analysis to examine the restoration of soil systems, specifically the effects exotic plants have on the N-cycle.

50. Primary work:

• Data compilation and analysis. Test the hypothesis which treatment may have or not have effect on the recovery of native species.
• Summary the results and help to finish the report for National Park and potential publication, etc.  

 

Department of Ecology, Rutgers University New Jersey Pineland Commission		Research Assistant
Advisor: Ming Xu, Ph.D.		2004 -- 2007

Project: Relationships among Predawn Leaf Water Potential, Soil Moisture and Water Table for Four Indicator Shrub Species in New Jersey Pinelands

50. Objective:  Determine the potential impact of water levels on plant species composition by evaluating short-term response to water stress.  
50. Methods:

• Measured Predawn Leaf Water Potential (LWP), Soil Moisture and Water Table at the Brendan Byrne State Forest in the McDonalds Branch basin, New Jersey.
• Measured leaf gas-exchange (A-Ci curves) on 654 plants (leaves) over two growing seasons of 2004 and 2005 using LI_6400 system.
• Analyzed relationships among predawn LWP, soil moisture and ground water level by using the PROC CORR, PROC REG and PROC PRINCOM modules in SAS 9.1.
• Examined the effects of fitting methods on the estimations of Vcmax, Jmax, Rd and gm using grid search and non-linear fitting techniques by using SAS and compared with fitting results from commercial software (Photosyn Assist).

50. Results:

• Relationships between ΨLWP and groundwater tables are significant at confident level of 99%. The weak correlation between ΨLWP and soil moisture suggests that the plants may use more ground water in the study area due to the shallow water table and sandy soils.
• Fitting methods significantly affected predictions of Wc (Rubisco-limited portion), Wj (RuBP-limited portion) curves and leaf photosynthesis velocities due to the inconsistent estimates of Vcmax, Jmax, Rd and gm.

 

Department of Ecology, Rutgers University		Research Assistant
Advisor: Ming Xu, Ph.D.		2003 -- 2005

Project: Measuring Ecosystem Carbon/Nitrogen Cycles in an Oak Forest in Pinelands, NJ

50. Objective:  Developed a new automatic chamber system for long-term continuous measurement of soil surface CO2 efflux and stem and branch respiration. 
50. Methods: 16 pairs of chambers (30 cm in diameter and 15 cm in height) are installed on the soil surface and 21 trees are measured at the site to sequentially measure CO2/NOx effluxes every 2 hours. Both systems have been patented by the Rutgers University.

 

Department of Geography, Nanjing University		Research Assistant
Advisor: Lijie Pu, Ph.D		2000 -- 2002

Project: “The movement process modeling of mass flux and lake sediment flux in representative catchments”.

50. Objective: Perform a quantitative research on the land degradation and to elucidate the relationship between the land use and the land degradation and the impact of non-point pollution discharged from Xitiaoxi catchment into the downstream and Taihu lake.
50. Methods:

• Designed experiment for testing associations of soil erosion rate with soil type, land use type, elevation. Etc. and randomly selected the sampling point within each factors.
• 314 soil samples for 68 soil profiles within 15 groups were collected at Anji, the upper level of Xitiaoxi catchments. The cs¹³⁷ intensity of samples was measured by using ORTEC HPGe (High Purity Germanium) coaxial detector and Digital Gamma-Ray Spectrometer (DSPEC).
• Established model for calculating soil erosion rate by using ¹³⁷Cs techniques.
• Implemented GIS database. Estimated NPS discharge by building model in ArcGIS and compared the results from land degradation classification methods with Cs¹³⁷ methods.

 

 

TEACHING EXPERIENCE                                              

• Fall 2012-present “English for Geomatics Engineering”, “Marine Ecology”   , Nanjing Normal University, Nanjing, China.
• Spring 2007          Laboratory Instructor, “Limnology”, Rutgers University, NJ.
• Fall 2006               Laboratory Instructor, “Invertebrate Zoology”, Rutgers University, NJ.
• 2005-2006             Laboratory Instructor, “General Biology I&II”, Rutgers University, NJ.