Emmanuel Akande

  • Email: eakande@purdue.edu
  • Tel: 850-345-2844
  • Mailing address: Department of Forestry and Natural Resources, 715 W. State Street, West Lafayette, IN 47907

Education

  • University Florida-Gainesville, Florida
    • Ph.D.  Food and Resource Economics & Ph.D. Minor in Statistics                            July 2019
    • Primary Fields: Econometrics, production economics, environmental and resource economics
    • Secondary Field: Machine learning
  • Florida State University- Tallahassee, Florida                             July 2012
    • Master of Science in Economics
  • University of Lagos-Lagos, Nigeria                                                                                  2008
    • Bachelor of Science in Economics

APPOINTMENT

  • Purdue University– West Lafayette, Indiana                                Oct. 2019-Present
    • Postdoctoral Research Associate
  • University of Florida – Gainesville, FL                                        2015– Aug. 2019
    • Graduate Research Assistant , Department of Food & Resource Economics    
  • Florida State University – Tallahassee, FL                                   2010 – 2014
    • Graduate Student Researcher, Center for Economic and Forecasting Analysis 

TEACHING EXPERIENCE

  • University of Florida, Gainesville, FL                                                                     Spring 2019            
    • Instructor:  AEB 4931 Econometrics, Department of Food & Resource Economics                   
  • University of Florida University Association Athletes                                             2015-2019
    •  Mentor/Tutor:  Macroeconomics, Microeconomics, Managerial Economics, Quantitative Methods, & Statistics
  • Teaching Assistant:   Department of Economics, Florida State University, Tallahassee FL.                                          2010-2012
    • Macroeconomics, Microeconomics & Econometrics

PUBLICATIONS

  • The Investment Shock: Sources of Fluctuations in a Small Open Economy, Journal of Economics and Business Review (2013) Vol. 15(3)

JOURNAL REFEREE:

  • Journal of Economic Modeling, American Journal of Agricultural Economics

Yangyang Wang

  • Post-Doctoral Research Associate
  • Office: 715 W. State Street, West Lafayette, IN 47907
  • Phone: 765-543-2344
  • E-mail: wang1361@purduedu

Education

  • 2015-present, Post Doctoral Research Associate, Natural Resource Economics Lab, Department of Forestry and Natural Resources, Purdue University, USA
  • 2011-2014, Visiting Scholar, Department of Forestry and Natural Resources, Purdue University, USA
  • 2014, Ph.D. in Forest Economics, College of Economics & Management, Northeast Forestry University, China
  • 2010, M.A. in Administrative Management, College of Economics & Management, Northeast Forestry University, China
  • 2006, B.A. in International Economics & Trade, College of Economics & Management, Northeast Forestry University, China

Research Interests

  • Forest economics and finance
  • Map and value ecosystem services
  • Spatial analysis of conservation policy and conservation investment returns
  • Uncertainty analysis under climate, landscape, management, and policy change
  • Priority analysis for natural resources conservation Landscape connectivity and fragmentation

Journal Publications

  • Wang, Y.Y., Atallah, S., Shao, G.F., 2017. Spatially-Explicit Return on Investment to Private Forest Conservation for Water Purification in Indiana, USA. Ecosystem Services 26:45-57
  • Liao J.F., Jia Y.Q., Tang L.N., Huang Q.L., Wang, Y.Y., Huang N., Hua L.Z., 2017. Assessment of urbanization-induced ecological risks in an area with significant ecosystem services based on land use/cover change scenarios. International Journal of Sustainable Development & World Ecology. DOI: 10.1080/13504509.2017.1415234
  • Bai, G.X., Wang, YY., Dai, L.M., Liu, S.R., Tang, L.N., Shao, G.F., 2015. Market-oriented forestry in China promotes forestland productivity. New Forests. DOI: 10.1007/s 11056-014-9450-8
  • Deng, H.B., Chen, Z.F., Cao, H.N., Shen, Y., Wang, Y.Y., Shan, P., 2015. Perceptions and attitudes of local residents on nature reserve: a case study in Baimaxueshan National Nature Reserve. International Journal of Sustainable Development & World Ecology. DOI: 10.1080/13504509.2014.930361
  • Wu, G., Gao, Y., Wang, Y., Wang, Y.Y., Xu, D., 2015. Land use/land cover changes and their driving forces around wetlands in Shangri-La County, Yunnan Province, China. International Journal of Sustainable Development & World Ecology. DOI: 10.1080/13504509.2014.915894
  • Shi, L.Y., Ma, W.C., Shao, G.F., Tang, L.N., Wang, Y.Y., Wang, H.W., 2015. The US and China need to turn ongoing bilateral dialogue into immediate joint mitigation. International Journal of Sustainable Development & World Ecology. DOI: 10.1080/13504509.2014.961993
  • Wang, Y.Y., Bai, G.X., Shao, G.F., Cao, Y.K., 2014. An analysis of potential investment returns and their determinants of poplar plantations in state-owned forest enterprises of China. New Forests 45:251-264

Conference Presentations and Publications

Oral Presentations:

  • Yangyang Wang, Shady Atallah, Guofan Shao, 2017.  Valuing and mapping the timber productivity payback from forest conservation. 2017 Indiana GIS conference, Indianapolis.
  • Yangyang Wang, Shady Atallah, Guofan Shao, 2016. Nutrient retention returns on investment in private forest conservation: the case of the Classified Forest and Wildlands Program in Indiana. Agricultural & Applied Economics Association (AAEA), Boston.
  • Yangyang Wang, Shady Atallah, Guofan Shao, 2016. Maximizing Freshwater ecosystem service returns on investment in forest conservation. Society of American Foresters convention (SAF), Madison

Conference Publication:

  • Wang, Y.Y., Atallah, S., Shao, G.F., 2016. Nutrient retention return on investment in forest private forest conservation: the case of the Classified forest and wildlands program in Indiana. 2016 Agricultural & Applied Economics Association Annual Meeting, Boston, Massachusetts, July 31-August 2

Poster Presentations:

  • Yangyang Wang, Shady Atallah, Guofan Shao, 2016. Maximizing the Nutrient Retention Return on Investment in Forest Conservation: the case of the Classified Forest and Wildlands Program in Indiana. Natural Capital Symposium, Stanford University.
  • Wang YY, Bai GX, Shao GF. 2013. Investment potential of a poplar Industrial plantation in China. Society of American Foresters 2013 National Convention (SAF), North Charleston, S.C., USA.

PROFESSIONAL AFFILIATION

  • Agricultural & Applied Economics Association (AAEA) 2015-Current
  • Society of American Foresters convention (SAF) 2013-Current
Wu Ma

Wu Ma

  • Curriculum Vitae
  • Cell phone: (802) 343-6487
  • Email: ma628@purdue.edu
  • Mailing address: Purdue University, West Lafayette, IN USA, 47907

Education

  • 2012-2016 Ph.D. in Quantitative Forest Research, West Virginia University (US)
  • 2009-2012 M.S. in Forest Growth Models, Chinese Academy of Forestry
  • 2005-2009 B.A. in Forestry, Huazhong Agricultural University

Academic and Working Experience

  • Post-Doctoral Research Associate, Purdue University               March 2019 – Present
    • Develop optimization models to derive an optimal management plan adaptive to uncertainty.
    • Apply machine learning to classify forest type and forest type group interactive to human decisions.
    • Develop self-learning matrix growth models using machine learning algorithms for all forest types instead of FVS.
  • Post-Doctoral Research Associate, University of Vermont             Jan 2017 – Feb 2019
    • Develop C flux matrix models using tree and stand level variables by tree diameter class and stand age class to predict forest C dynamics.
    •  Use matrix models to predict aboveground forest biomass with Landsat time-series, LiDAR strip samples, and forest inventory plots in the eastern USA.
    •  Address the interactive effects of land use change and disturbances (wildfire, insect and disease, weather, cutting, wind) on C dynamics using field and Landsat data.
    •  Address impacts of IPCC LUC on contemporary forest C dynamics from 1990 to 2018 through incorporating matrix models in the Northern US using Landsat and Digital Elevation Model (DEM) data.

Featured Publications

  • Wu Ma, X Zhou, J Liang, M Zhou. 2019. Coastal Alaska Forest under Climate Change: What to Expect? Forest Ecology and Management. ​448(15), 432-444.
  • Wu Ma, G Domke, C Woodall, A D’Amato. 2019. Land Use Changes, Disturbances, and Their Interactions on Future Forest Aboveground Biomass Dynamics in the Northern U.S. Forests.
  • Wu Ma, G Domke, A D’Amato, C Woodall, B Walters, R Deo. 2018. Using matrix models to estimate aboveground forest biomass dynamics in the Eastern USA through various combinations of LiDAR, Landsat, and Forest Inventory Data. Environmental Research Letters 13: 125004. (First and corresponding author)
  • Wu Ma, C Woodall, G Domke, A D’Amato, B Walters. 2018. Stand age versus tree diameter as a driver of forest carbon inventory simulations in the northeast U.S. Canadian Journal of Forest Research 48: 1-13. (First and corresponding author)
  • Wu Ma, M Zhou. 2017. Assessments of harvesting regimes in central hardwood forests under climate and fire uncertainty. Forest Science 64 (1): 57-73. (First author)
  • Wu Ma, J Liang, J Cumming, E Lee, A Welsh, J Watson, M Zhou. 2016. Fundamental shifts of central hardwood forests under climate change. Ecological Modelling 332: 28-41. (First author)
  • Wu Ma, X Lei. 2015. Nonlinear simultaneous equations for individual-tree diameter growth and mortality model of natural Mongolian oak forests in Northeast China. Forests 6 (6): 2261-2280. (First author)

All Peer-Reviewed Publications

2019

  • Wu Ma, X Zhou, J Liang, M Zhou. 2019. Coastal Alaska Forest under Climate Change: What to Expect? Forest Ecology and Management
  • Wu Ma, G Domke, C Woodall, A D’Amato. 2019. Land Use Changes, Disturbances, and Their Interactions on Future Forest Aboveground Biomass Dynamics in the Northern U.S. Forests.

2018

  • Wu Ma, G Domke, A D’Amato, C Woodall, B Walters, R Deo. 2018. Using matrix models to estimate aboveground forest biomass dynamics in the Eastern USA through various combinations of LiDAR, Landsat, and Forest Inventory Data. Environmental Research Letters 13: 125004. (First and corresponding author)
  • Wu Ma, C Woodall, G Domke, A D’Amato, B Walters. 2018. Stand age versus tree diameter as a driver of forest carbon inventory simulations in the northeast U.S. Canadian Journal of Forest Research 48: 1-13. (First and corresponding author)
  • W Liu, Y Yan, D Wang, Wu Ma. 2018. Integrate carbon dynamics models for assessing the impact of land use intervention on carbon sequestration ecosystem service. Ecological Indicators 91: 268-277. (Fourth author)
  • L Cui, W Li, C Gao, M Zhang, X Zhao, Z Yang, Y Lei, D Huang, Wu Ma. 2018. Identifying the influence factors at multiple scales on river water chemistry in the Tiaoxi Basin, China. Ecological Indicators 92: 228-238. (Ninth author)
  • L Wei, Z Dou, Y Wang, G Wu, M Zhang, Y Lei, Y Ping, J Wang, L Cui, Wu Ma. 2018. Estimation of above-ground biomass of reed (Phragmites communis) based on in situ hyperspectral data in Beijing Hanshiqiao Wetland, China. Wetlands Ecology and Management 1-16. (Tenth author)

2017

  • Wu Ma, M Zhou. 2017. Assessments of harvesting regimes in central hardwood forests under climate and fire uncertainty. Forest Science 64 (1): 57-73. (First author)
  • J Meng, Y Bai, W Zeng, Wu Ma. 2017. A management tool for reducing the potential risk of windthrow for coastal casuarina equisetifolia stands on Haihan Island, China. European Journal of Forest Research 136 (3): 543-554. (Fourth author)
  • F Ge, W Zeng, Wu Ma, J Meng. 2017. Does the slope of the self-thinning line remain a constant value across different site qualities? – An implication for plantation density management. Forests 8 (10): 355. (Third author)
  • W Li, L Cui, B Sun, X Zhao, C Gao, Y Zhang, M, Zhang, X Pan, Y Lei, Wu Ma. 2017. Distribution patterns of plant communities and their associations with environmental soil factors on the Eastern Shore of Lake Taihu, China. Ecosystem Health and Sustainability 3 (9): 1385004. (Tenth author)

2016

  • Wu Ma, J Liang, J Cumming, E Lee, A Welsh, J Watson, M Zhou. 2016. Fundamental shifts of central hardwood forests under climate change. Ecological Modelling 332: 28-41. (First author)
  • H Zang, X Lei, Wu Ma, W Zeng. 2016. Spatial heterogeneity of climate change effects on dominant height for larch plantations in northern and northeastern China. Forests 7 (7): 151. (Third author)
  • D Chen, X Huang, X Sun, Wu Ma, S Zhang. 2016. A comparison of hierarchical and non-hierarchical Bayesian approaches for fitting allometric larch (Larix. spp.) biomass equations. Forests 7 (1): 18. (Fourth author)
  • L Zhu, J Liu, L Cong, W Ma, Wu Ma, Z Zhang. Spatiotemporal characteristics of particulate matter and dry deposition flux in the Cuihu wetland of Beijing. Plos One 11 (7): e0158616. (Fifth author)
  • S Fan, F Guan, X Xu, D Forrester, Wu Ma, X Tang. 2016. Ecosystem carbon stock loss after land use change in subtropical forests in China. Forests 7 (7): 142. (Fifth author)
  • J Meng, S Li, W Wang, Q Liu, S Xie, Wu Ma. 2016.Estimation of forest structural diversity using the spectral and textural information derived from SPOT-5 satellite images. Remote Sensing 8 (2): 125. (Sixth author)
  • J Meng, S Li, W Wang, Q Liu, S Xie, Wu Ma. 2016. Estimation of forest health using the spectral and textural information derived from SPOT-5 satellite images. Remote Sensing 8 (9): 719. (Sixth author)
  • Liu J, Zhu L, Wang H, Yang Y, Liu J, Qiu D, Wu Ma, Zhang Z, Liu J. 2016. Dry deposition of particulate matter at an urban forest, wetland and lake surface in Beijing. Atmospheric Environment 125: 178-187. (Seventh author)
  • Cui, L., Li, W., Zhang, Y., Wei, J., Lei, Y., Zhang, M., Pan, X., Zhao, X., Li, K. and Wu Ma. 2016. Nitrogen removal in a horizontal subsurface flow constructed wetland estimated using the first-order Kinetic model. Water 8 (11): 514. (Tenth author)

2015

  • Wu Ma, X Lei. 2015. Nonlinear simultaneous equations for individual-tree diameter growth and mortality model of natural Mongolian oak forests in Northeast China. Forests 6 (6): 2261-2280. (First author)
  • Wu Ma, X Lei, G Xu, Y Yang, Q Wang. 2015. Growth models for natural Mongolian oak forests:ⅠDiameter growth model. Journal of Northwest A&F University 43 (2): 99-105. (In Chinese with English abstract, first author)
  • Wu Ma, X Lei, G Xu, Y Yang, Q Wang. 2015. Growth models for natural Mongolian oak forests: II individual-tree height-diameter model. Journal of Northwest A&F University 43 (3): 83-90. (In Chinese with English abstract, first author)
  • Wu Ma, X Lei, G Xu, Y Yang, Q Wang. 2015. Growth models for natural Mongolian oak forests: III Individual-tree mortality model. Journal of Northwest A&F University 43 (4): 59-64. (In Chinese with English abstract, first author)
  • Wu Ma, X Lei, G Xu, Y Yang, Q Wang. 2015. Growth models for natural Mongolian oak forests: IV recruitment model. Journal of Northwest A&F University 43 (5): 58-64. (In Chinese with English abstract, first author)

2014 and before

  • Wu Ma, X Lei. 2012. Forest growth and management simulation platform CAPSIS and its application. China Forestry Science and Technology 4: 79-83. (In Chinese with English abstract, first author)
  • Wu Ma, C Shen, X Lei, S Dufour, F de Coligny. 2011. Developing larch-spruce-fir forest matrix growth model (LSFMGM) based on CAPSIS platform. Journal Northeast Forestry University 39(9): 112-115. (In Chinese with English abstract, first author)
  • C Shen, X Lei, F Wang, Wu Ma, J Shen. 2012. Competitive states in natural middle-aged forest of Mongolian oak at Jincang Forest Farm. Forest Research 25(3): 339-345. (In Chinese with English abstract, fourth author)
  • J Diao, X Lei, J Wang, J Lu, H Guo, L Fu, C Shen, Wu Ma, and J Shen. 2014. Quantifying the variability of internode allometry within and between trees for pinus tabulaeformis carr. using a multilevel nonlinear mixed-effect model. Forests 5(11): 2825-2845. (Eighth author)

Peer Review Services

Conservation Biology (2), Environmental Reviews (1), Forest Ecology and Management (1), Ecological Modelling (2), Remote Sensing (2), Canadian Journal of Forest Research (1), Forestry (2), Forests (18), Sustainability (4), Annals of Forest Science (1), International Journal of Remote Sensing (1), Forest Ecosystems (1), Journal of Forestry Research (2), Agroforestry Systems (1), Climate (6), Plants (1), Open Journal of Forestry (3), Journal of Poultry, Fisheries & Wildlife Sciences (1)

Earth Science Research (Editorial board), Current Trends in Forest Research (Editorial board), International Journal of Forestry and Horticulture (Editorial board), International Journal of Research in Agriculture and Forestry (Editorial board), Journal of Biodiversity Management and Forestry (Editorial board), Earth & Environmental Science Research & Reviews (Editorial board)