Welcome!

Welcome to the MacBean Lab in the Department of Geography at Indiana University!

In the MacBean Lab we study the response of terrestrial vegetation, carbon, and water cycles to climate change, rising CO2, and land use and land cover change. Our approach is two-fold: 1) to develop, test and optimize process-based terrestrial biosphere models within a statistical data assimilation framework; and 2) to use spatiotemporal data analysis to interpret field and satellite observations. Our work spans scales from ecosystems to the globe, from boreal to tropical forests, and from temperate to semi-arid grasslands and shrublands.

Research

Human activity is directly altering the earth system via atmospheric CO2 emissions from fossil fuels and land use and land cover change. These emissions result in feedbacks to the climate and to ecosystem functioning and sustainability. We need to better understand the impact of these environmental change agents on vegetation dynamics, carbon and water cycling in order to adapt to, or mitigate, the harmful impact of climate change and human activity on our environment and society. Addressing this issue is core to my research program.

In the MacBean Lab, our core research tool is process-based terrestrial biosphere modeling (TBM). Questions arising from the modeling work often require a more in depth understanding of the underlying ecosystem processes and further model improvements. Our approach to this is two-fold: 1) to develop, test and optimize TBMs within a statistical data assimilation framework; and 2) to use spatiotemporal data analysis to interpret field and satellite observations. Our work spans boreal to tropical forests, temperate to semi-arid grasslands and shrublands, and scales from ecosystems to the globe.

Current research themes in the MacBean Lab
Using data assimilation to constrain carbon-climate projection uncertainty

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Remote sensing detection of patterns and drivers of vegetation dynamics

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The role of semi-arid ecosystems in the global carbon cycle

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Mapping and modeling land cover change

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Presentations resulting from this research can be viewed here.

Lab Group

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Natasha MacBean

Assistant Professor,
Department of Geography,
Indiana University

Email: nmacbean@indiana.edu
Phone: +1 (812) 855-7971
Twitter: @NatashaMacBean

CV

 

Research interests: carbon cycle, vegetation dynamics (phenology and long-term trends), ecohydrology, physiology, ecosystem functioning, CO2 fertilization, global environmental change, climate change, land use and land cover change, terrestrial biosphere modeling, earth system modeling, data assimilation, remote sensing.


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Rubaya Pervin

 

PhD Student,
Department of Geography,
Indiana University

Email: rpervin@iu.edu

 

 

 

 

Research interests: Land use and land cover change, Climate change, Mangrove change monitoring and impact of mangrove change on the carbon sink, Carbon fertilization, greening trend and land cover change, Ecohydrology, Remote sensing, and Spatial analysis.


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Heidi Takada

Undergraduate in Geography and
IU 2020 Sustainability Scholar

 

 

 

 

 

 

I’m a undergraduate student at Indiana University majoring in Geography as well as a Sustainability Scholar (2018-2019) researching mangrove change with Natasha MacBean. I am interested in environmental sustainability, land cover change, and Global Information Systems (GIS).


Lab Group Address:
Department of Geography,
Indiana University,
Student Building 120,
701 E Kirkwood Ave,
Bloomington, IN 47405-7100
USA

Publications

Google Scholar | ResearchGate

Submitted, under review, or in revision

Smith, W.K., A. Fox, N. MacBean, D.J.P. Moore and N. Parazoo, On the role of long-term satellite observations in constraining the vegetation CO2 fertilization effect. Submitted as an invited New Phytologist Tansley Insight.

Bacour, C., F. Maignan, N. MacBean, A. Porcar-Castell, J. Flexas5, C. Frankenberg, P. Peylin, F. Chevallier and N. Vuichard, Improving estimates of Gross Primary Productivity by assimilating solar-induced fluorescence satellite retrievals in a terrestrial biosphere model using a mechanistic SIF model. Submitted to JGR-Biogeosciences.

Bacour, C., F. Maignan, P. Peylin, N. MacBean, V. Bastrikov, J. Joiner, P. Köhler, L. Guanter, and C. Frankenberg, Differences between OCO2 and GOME2 SIF products from a model-data fusion perspective. Submitted to JGR-Biogeosciences.

Smith, W.K., M. Dannenberg, D. Yan, S. Herrmann, M.L. Barnes, G.A. Barron-Gafford, J.A. Biederman, S. Ferrenberg, A.M. Fox, A.R. Hudson, J.F. Knowles, N. MacBean, D.J.P. Moore, P.L. Nagler, S.C. Reed, W.A. Rutherford, R.L. Scott, X. Wang and J. Yang, Remote sensing of dryland ecosystem structure and function: Progress, challenges and opportunities. Submitted to Remote Sensing of Environment.

Duncanson, L., J. Armston, M. Disney, V. Avitabile, N. Barbier, K. Calders, S. Carter, J. Chave, M. Herold, T. Crowther, M. Falkowski, J. Kellner, N. Labrière, R. Lucas, N. MacBean, R.E. McRoberts, V. Meyer, E. Næsset, J.E. Nickeson, K.I. Paul, O.L. Phillips, M. Réjou- Méchain, M. Román, S. Roxburgh, S. Saatchi, D. Schepashenko, K. Scipal, P.R. Siqueira, M. Williams, and A. Whitehurst, The importance of global land product validation: towards a standardized protocol for aboveground biomass. In revision for Surveys in Geophysics.

Published

2019

Exbrayat, J.-F., A. A. Bloom, N. Carvalhais, R. Fischer, A. Huth, N. MacBean and M. Williams (2019), Understanding the land carbon cycle with space data: current status and prospects. Surveys in Geophysics, doi: 10.1007/s10712-019-09506-2. url.

2018

Bastrikov, V., N. MacBean, C. Bacour, D. Santaren, S. Kuppel and P. Peylin, Land surface model parameter optimisation using in-situ flux data: comparison of gradient-based versus random search algorithms (2018), Geoscientific Model Development, 11, 4739-4754. pdf

Fox, A.M., T.J. Hoar, J.L. Anderson, A.F. Arellano, W.K. Smith, M.E. Litvak, N. MacBean, D.S. Schimel, and D.J.P. Moore (2018), Evaluation of a Data Assimilation System for Land Surface Models using CLM4.5. Journal of Advances in Modeling Earth Systems, 10, 2471–24942. pdf

Liu, D., Y. Li, T. Wang, P. Peylin, N. MacBean, P. Ciais, G. Jia, M. Ma, Y. Ma, M. Shen,  X. Zhang and S. Piao (2018), Contrasting responses of grassland water and carbon exchanges to climate change between the Tibetan Plateau and Inner Mongolia, Agricultural and Forest Meteorology, 249, 163-175. url

MacBean, N., F. Maignan, C. Bacour, P. Lewis, P. Peylin, L. Guanter, P. Köhler, J. Gomez-Dans and M. Disney (2018), Strong constraint on modeled global carbon uptake using solar-induced chlorophyll fluorescence data, Scientific Reports, 8, 1973, doi: 10.1038/s41598-018-20024-w. pdf

Li, W., N. MacBean, P. Ciais, P. Defourny, C. Lamarche, S. Bontemps, R. A. Houghton and S. Peng (2018), Gross and net land cover changes based on plant functional types derived from the annual ESA CCI land cover maps. Earth Syst. Sci. Data, 10, 219-234. pdf

Smith, W.K., J.A Biederman, R.L. Scott, D.J.P. Moore, M. He, J.S. Kimball, D. Yan, A. Hudson, M.L. Barnes, N. MacBean, A. Fox and M.E. Litvak (2018), Chlorophyll fluorescence better captures seasonal and interannual gross primary productivity dynamics across dryland ecosystems of southwestern North America, Geophys. Res. Lett., 45, 748757url

2017

Hartley, A., N. MacBean, G. Georgievski and S. Bontemps (2017), Uncertainty in plant functional type distributions and its impact on land surface models. Remote Sensing of Environment, 203, 71-89. url

Montané, F., Fox, A. M., Arellano, A. F., MacBean, N., Alexander, M. R., Dye, A., Bishop, D. A., Trouet, V., Babst, F., Hessl, A. E., Pederson, N., Blanken, P. D., Bohrer, G., Gough, C. M., Litvak, M. E., Novick, K. A., Phillips, R. P., Wood, J. D., and Moore, D. J. P. (2017), Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools and turnover in temperate forests, Geosci. Model Dev. 10, 3499-3517, https://doi.org/10.5194/gmd-10-3499-2017.  pdf

Li, Y., H. Yang, T. Wang, N. MacBean, C. Bacour, P. Ciais, Y. Zhang, G. Zhou and S. Piao (2017), Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests, and its implication for simulated climate sensitivities, Global Biogeochemical Cycles, 31, doi:10.1002/2017GB005714.

Walker, A. P., T. Quaife, P. M. van Bodegom, M. G. De Kauwe, T. F. Keenan, J. Joiner, M. R. Lomas, N. MacBean, C. Xu, X. Yang and F. I. Woodward (2017), The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (Vcmax) on global gross primary production, New Phytologist, 215, 1370–1386, doi:10.1111/nph.14623. url

Thum, T., N. MacBean, P. Peylin, C. Bacour, D. Santaren, B. Longdoz, D. Loustau and P. Ciais (2017) The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: case studies at two temperate forest sites, Agricultural and Forest Meteorology, 234, 48-65. url

2016

MacBean, N., P. Peylin, F. Chevallier, M. Scholze, M., and G. Schürmann (2016) Consistent assimilation of multiple data streams in a carbon cycle data assimilation system, Geoscientific Model Development, 9, 3569-3588, doi:10.5194/gmd-9-3569-2016. url pdf

Peylin, P., C. Bacour, N. MacBean, S. Leonard, P.J. Rayner, S. Kuppel, E.N. Koffi, A. Kane, F. Maignan, F. Chevallier, P. Ciais and P. Prunet (2016), A new step-wise Carbon Cycle Data Assimilation System using multiple data streams to constrain the simulated land surface carbon cycle, Geoscientific Model Development, 9, 3321-3346, doi:10.5194/gmd-9-3321-2016. url pdf

Li, W., P. Ciais, N. MacBean, S. Peng, P. Defourny and S. Bontemps (2016), Major forest changes and land cover transitions based on plant functional types derived from the ESA CCI Land Cover product. International Journal of Applied Earth Observation and Geoinformation, 47, 30-39. url 

2015

MacBean, N., F. Maignan, P. Peylin, C. Bacour, P. Ciais and F.-M. Bréon (2015), Using satellite data to improve the leaf phenology of a global terrestrial biosphere model, Biogeosciences, 12, 7185-7208. url pdf

Bacour, C., P. Peylin, N. MacBean, P. J. Rayer, F. Delage, F. Chevallier,  M. Weiss, J. Demarty, D. Santaren,  F. Baret, D. Berveiller, E. Dufrêne and P. Prunet (2015), Joint assimilation of eddy-covariance flux measurements and satellite observations within a process-oriented biosphere model, Journal of Geophysical Research Biogeosciences, 120, 1839–1857, doi: 10.1002/2015JG002966. url pdf

Poulter, B., N. MacBean, A. Hartley, I. Khlystova, O. Arino, R. Betts,
 S. Bontemps, M. Boettcher, C. Brockmann, P. Defourny, S. Hagemann, M. Herold, G. Kirches, C. Lamarche, D. Lederer, C. Ottlé, M. Peters, and P. Peylin (2015), Plant functional type classification for Earth System Models: results from the European Space Agency’s Land Cover Climate Change Initiative, Geoscientific Model Development, 8, 2315-2328, doi:10.5194/gmd-8-2315-2015. url pdf

Naudts, K., J. Ryder, M. J. McGrath, J. Otto, Y. Chen, A. Valade, V. Bellasen, G. Berhongaray, G. Bönisch, M. Campioli, J. Ghattas, T. De Groote, V. Haverd, J. Kattge, N. MacBean, F. Maignan, P. Merilä, J. Penuelas, P. Peylin, B. Pinty, H. Pretzsch, E. D. Schulze, D. Solyga, N. Vuichard, Y. Yan, and S. Luyssaert (2015) A vertically discretised canopy description for ORCHIDEE (SVN r2290) and the modifications to the energy, water and carbon fluxes, Geoscientific Model Development, 8, 2035-2065. url pdf

Wang, X., S. Piao, X. Xu, P. Ciais, N. MacBean, R.B. Myneni and L. Li (2015) Has the advancing onset of spring vegetation green-up slowed down or changed abruptly over the past three decades? Global Ecology and Biogeography, 24, 621-631, doi: 10.1111/geb12289. url pdf

2014

MacBean, N. and P. Peylin (2014), Biogeochemistry: Agriculture and the Global Carbon Cycle, Nature (News and Views), 515, 351-352, doi: 10.1038/515351a. url pdf

Traore, A., P. Ciais, N. Vuichard, N.MacBean, C. Dardel, B. Poulter, S.    Piao, J.B. Fisher, N. Viovy, M. Jung and R. Myneni (2014) 1982-2010 Trends of Light use Efficiency and Inherent Water use Efficiency in African vegetation: Sensitivity to Climate and Atmospheric CO2 Concentrations, Remote Sensing, 6, 8923-8944, doi: 10.3390/rs6098923. url pdf

2010

Walker, R.T., M. Talebian, S. Saiffori, R.A. Sloan, A. Rasheedi, N. MacBean and A. Ghassemi (2010) Active faulting, earthquakes, and restraining bend development near Kerman city in southeastern Iran, Journal of Structural Geology, 32(8), 1046-1060. url pdf

Conference proceedings

Kato, T., F. Maignan, N. MacBean, P. Peylin, N. Vuichard, Y. Goulas, F. Daumard, I. Moya, A. Porcar-Castell and C. Nicol (2014) Relationship of the model-simulated productivity with the in-situ fluorescence measurements at two flux sites, 5th International Workshop on Remote Sensing of Fluorescence. Paris, France.

MacBean, N., M. Disney, J. Gomez-Dans, P. Lewis and P. Ineson (2010) Using satellite measurements of surface soil moisture to improve estimates of CO2 and CH4 from peatlands, European Space Agency Living Planet Symposium. Bergen, Norway.

 

Opportunities

Current postings

Postdoctoral Scientist Position in Terrestrial Biosphere Modeling and Data Assimilation at Indiana University-Bloomington

A postdoctoral scientist position is available in Dr Natasha MacBean’s group in the Department of Geography at Indiana University (IU) Bloomington. Research in the MacBean Lab focuses on understanding the response of the carbon cycle and terrestrial ecosystems to climate and environmental change (more information is available here: https://macbeanlab.com). The postdoctoral researcher would use data assimilation methods to constrain global carbon cycle sink projections and modeled carbon-climate feedbacks. The exact scope of the work will be dependent upon the postdoc’s research experience and interests. Multiple opportunities exist for collaborations across IU faculty working on environmental change issues. This position is offered for 2 years from summer 2019.

Qualifications
* PhD in geography, environmental science, earth science, biology, atmospheric science, computational science or a related field.
* Knowledge of biogeochemical cycles and land surface processes.
* Strong publication record.
* Extensive prior experience working with global scale terrestrial biosphere models or equivalent (land surface models, earth system models, dynamic vegetation models) is essential.
* We especially welcome applications from candidates who have prior experience working with Bayesian data assimilation methods.
* Substantial programming experience (preferably with Python and FORTRAN) is required.
* Proficiency in developing/maintaining large datasets and scientific codes for numerical simulation and analysis on Linus/Unix OS and high performance computing systems
* Strong inter-personal, collaboration, teamwork and organizational skills.

Salary: Commensurate with experience. Full benefits included.

Start date: July-September 2019.

How to apply: please send a CV, cover letter, and 1 page statement of research interests to nmacbean@indiana.edu. For full consideration please apply by Friday 12th April.

Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status.

 


Potential students and postdocs

I am always keen to hear from students and postdocs who are interested in working with me to study the impacts of climate and environmental change on terrestrial ecosystems. Please email me with a CV and brief statement of research interests and experience. The deadline for graduate student admissions in the Department of Geography at Indiana University is 15th December: http://geography.indiana.edu/graduate/admissions.shtml

Also take a look the opportunities to apply for funding below:

Graduate students

Note: to apply for the following opportunities you must already be enrolled in the IU Geography Graduate Program. For more information on how to apply for this program, please see this link.

– NSF Graduate Research Fellowship Program: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=6201&org=DGE&from=home and https://www.nsfgrfp.org (usually due in October)
– NSF DDRI: Geography and Spatial Sciences: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503621
– NASA Future Investigators in NASA Earth and Space Science and Technology (FINESST)-2019 New Proposals: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7B913A7DEE-2747-6539-130C-0AB1E2322F42%7D&path=future&method=init
– Ford Foundation Predoctoral and Dissertation Fellowships: http://sites.nationalacademies.org/pga/fordfellowships/index.htm
– NSF International Research Experience for Students: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=12831

Postdocs

– NSF Earth Science Postdoctoral Fellowships: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503144&org=NSF
– Ford Foundation Postdoctoral Fellowships: http://sites.nationalacademies.org/pga/fordfellowships/index.htm
– James S. McDonnell Foundation 21st Century Postdoctoral Fellowship Award in Understanding Dynamic and Multi-scale Systems: https://www.jsmf.org/apply/fellowship/.
– (For European Citizens) European Commission Marie Skłodowska-Curie Global Fellowship: https://ec.europa.eu/research/mariecurieactions/actions/individual-fellowships_en