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Jonathan J Maynard
Range Management Research
Research Ecologist

Phone: (575) 646-4842
Fax: (575) 646-5889

2995 KNOX STREET
LAS CRUCES , NM 880038003

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
Digital mapping of ecological land units using a nationally scalable modeling framework -
Prioritizing land for investments based on short- and long-term land potential and degradation risk: A strategic approach -
Herrick, J.E., Neff, J., Quandt, A., Salley, S.W., Maynard, J.J., Ganguli, A., Bestelmeyer, B.T. 2019. Prioritizing land for investments based on short- and long-term land potential and degradation risk: A strategic approach. Environmental Science and Policy. 96:52-58. https://doi.org/10.1016/j.envsci.2019.03.001.
A smartphone-based application for estimating soil color -
Applying Fingerprint Fourier Transformed Infrared Spectroscopy and Chemometrics to Assess Soil Ecosystem Disturbance and Recovery -
Science with a selfie stick: Plant biomass estimation using smartphone based ‘Structure From Motion’ photogrammetry -
Maynard, J.J., Karl, J. 2018. Science with a selfie stick: Plant biomass estimation using smartphone based ‘Structure From Motion’ photogrammetry [abstract]. 2018 Conference of The Society for Range Management. January 28-February 2, 2018. Sparks, Nevada.
Testing the ecological site group concept -
Salley, S.W., Maynard, J.J., Nauman, T.W., Talbot, C.J., Brown, J.R. 2017. Testing the ecological site group concept [abstract]. 2018 Conference of The Society for Range Management. January 28-February 2, 2018. Sparks, Nevada.
Breaks in MODIS time series portend vegetation change: verification using long-term data in an arid grassland ecosystem Reprint Icon -
Browning, D.M., Maynard, J.J., Karl, J.W., Peters, D.C. 2017. Breaks in MODIS time series portend vegetation change: verification using long-term data in an arid grassland ecosystem. Ecological Applications. 27:1677-1693.
An automated approach to mapping ecological sites using hyper-temporal remote sensing and SVM classification -
Maynard, J.J., Karl, J.W. 2017. An automated approach to mapping ecological sites using hyper-temporal remote sensing and SVM classification [abstract]. Society for Range Management [abstract]. Jan 01-Feb 02, 2017, St. George, Utah.
Hyper-temporal remote sensing for digital soil mapping: Characterizing soil-vegetation response to climatic variability Reprint Icon -
Maynard, J.J., Levi, M.R. 2017. Hyper-temporal remote sensing for digital soil mapping: Characterizing soil-vegetation response to climatic variability. Geoderma. 285:94-109.
Effect of spatial image support in detecting long-term vegetation change from satellite time-series Reprint Icon -
Maynard, J.J., Karl, J.W., Browning, D.M. 2016. Effect of spatial image support in detecting long-term vegetation change from satellite time-series. Landscape Ecology. 31:2045-2062. doi:10.1007/s10980-016-0381-y.
A hyper-temporal remote sensing protocol for detecting ecosystem disturbance, classifying ecological state, and assessing soil resilience -
Maynard, J.J., Karl, J.W. 2015. A hyper-temporal remote sensing protocol for detecting ecosystem disturbance, classifying ecological state, and assessing soil resilience [abstract]. 2015 Soil Science Society of America Annual Meeting. November 15-18, 2015, Minneapolis, MN. p. 39-17.
On quantifying active soil carbon using mid-infrared spectroscopy -
Detecting long-term vegetation change in an arid rangeland ecosystem: Investigating effects of spatial image support within satellite time-series -
Maynard, J.J., Karl, J.W., Browning, D.M. 2015. Detecting long-term vegetation change in an arid rangeland ecosystem: Investigating effects of spatial image support within satellite time-series [abstract]. 68th Annual Meeting of the Society for Range Management. January 31-February 2, 2015. Sacramento, CA.
Investigating biochar as a tool for mine soil remediation -
Johnson, M.G., Maynard, J.J., Nico, P.S. 2014. Investigating biochar as a tool for mine soil remediation [abstract]. National Conference on Mining-Influenced Waters: Approaches for Characterization, Source Control and Teatment. August 12-14, 2014, Albuquerque, New Mexico.