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 Carbon Cycle And Ecosystems (329G): People
Nima  Madani's Picture
Jet Propulsion Laboratory
M/S 233-300
4800 Oak Grove Drive
Pasadena, CA 91109
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Curriculum Vitae:

Nima Madani

My research focus is on improving our understanding of important ecosystem processes such as gross production in response to changes in temperature and water cycle.

  • PhD of Systems Ecology, University of Montana, USA
  • MA of Environmental Planning and Management, University of Tehran, Iran
  • BA of Natural Resource Engineering-Environment, University of Allame Mohades Noori, Iran

Research Interests
  • Terrestrial carbon cycle modeling
  • Carbon-water-temperature feedbacks
  • Effect of land use change on ecosystem processes
  • Species climate interaction and habitat modeling


NASA's Earth Science Program is dedicated to advancing Earth remote sensing and pioneering the scientific use of satellite measurements to improve human understanding of our home planet.

SMAP - Soil Moisture Active Passive Icon SMAP - Soil Moisture Active Passive
The Soil Moisture Active Passive mission provides measurements of soil moisture, freeze/thaw state, as well as sea surface salinity and ocean wind.

OCO-2 - Orbiting Carbon Observatory Icon OCO-2 - Orbiting Carbon Observatory
The Orbiting Carbon Observatory-2 (OCO-2) is a mission designed to make precise, time-dependent global measurements of atmospheric carbon dioxide (CO2) from an Earth orbiting satellite.

ABoVE (Arctic Boreal Vulnerability Experiment ) Icon ABoVE (Arctic Boreal Vulnerability Experiment )
The Arctic Boreal Vulnerability Experiment (ABoVE) is a proposed NASA field campaign focusing on understanding the Arctic-Boreal environment.

Professional Experience
  • Postdoctoral Associate, Jet Propulsion Laboratory. Aug 2018-present
  • Postdoctoral Scientist, University of Montana (Nov 2017 - Aug 2018)
  • Research Scientist, University of Montana (2016-2017)
  • Graduate Research Assistant, University of Montana (2011-2016)

Selected Publications
  1. Madani, N., J.S. Kimball, A. P. Ballantyne, D. L.R. Affleck, P. M. van Bodegom, P. B. Reich, J.Kattge, A. Sala, M. Nazeri, M. O. Jones, M. Zhao, S. W. Running. (2018). Futureglobal productivity will be affected by plant trait response to climate. Nature Scientific Reports, 18.
  2. Madani, N., J. S. Kimball, L. A. Jones, N. C. Parazoo, K. Guan (2017). Global Analysis of Bioclimatic Controls on Ecosystem Productivity Using Satellite Observations of Solar-Induced Chlorophyll Fluorescence. Remote Sensing. 9 (530).
  3. Madani, N., J. S. Kimball, S. W. Running. (2017). Improving global gross primary productivity estimates by computing optimal light use efficiency using flux tower data. J. Geophys. Res. Biogeosciences, 122.
  4. Jones, L., Kimball, J., Reichle, R., Madani, N., Glassy, J., Ardizzone, J. et al. (2017). The SMAP Level 4 Carbon Product for Monitoring Ecosystem Land-Atmosphere CO2 Exchange. IEEE Trans. 99.
  5. M. Fonseca, L. Anderson, E. Arai, Y. Shimabukuro, H. Xaud, M. Xaud, N. Madani, F. Wagner, L. Aragão. (2017). Climatic and anthropogenic drivers of northern Amazon fires during the 2015/2016 El Niño event. Ecological Applications. 1628. DOI: 10.1002/eap.1628
  6. Madani, N., J. S. Kimball, D. L. R. Affleck, J. Kattge, J. Graham, P. M. van Bodegom, P. B. Reich, and S. W. Running (2014). Improving ecosystem productivity modeling through spatially explicit estimation of optimal light use efficiency, J. Geophys. Res. Biogeosciences, 119 (9).
  7. Madani, N., Kimball, J., Nazeri, N., Kumar, L. Affleck, D. L. R (2016). Remote sensing derived fire frequency, soil moisture and ecosystem productivity explain regional movements in emu over Australia. PlosOne, 11, 1-11.
  8. Nazeri, M., Madani, N., Kumar, L., Salman Mahiny, A., & Kiabi, B. H. (2015). A geostatistical approach to model Asiatic cheetah, onager, gazelle and wild sheep shared niche and distribution in Turan biosphere reserve-Iran. Ecological Informatics, 29, 25-32.
  9. Nazeri, M., Jusoff, K., Madani, N., Mahmud, A. R., Bahman, A. R., & Kumar, L. (2012). Predictive Modeling and Mapping of Malayan Sun Bear (Helarctos malayanus) Distribution Using Maximum Entropy. PLoS ONE, 7(10).

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