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Press
Changing Seas, PBS documentary on the GCE-LTER, features our belowground biomass modeling: https://www.changingseas.tv/season-13/1302/

Publications

  • Hawman, PA, Mishra, DR, O’Connell, JL. 2023. Dynamic emergent leaf area in tidal wetlands: Implications for satellite-derived regional and global blue carbon estimates. Remote Sensing of Environment  290:113553. https://doi.org/10.1016/j.rse.2023.113553 
  • Mao L, Mishra DR, Hawman PA, Narron CR, O’Connell JL, Cotten, DL. 2023. Photosynthetic performance of tidally flooded Spartina alterniflora salt marshes. Journal of Geophysical Research: Biogeosciences 128:e2022JG007161. https://doi.org/10.1029/2022JG007161
  • Narron, CR, O’Connell, JL, Mishra, DR, Cotten, DL, Hawman, PA, Mao, L. 2022. Flooding in Landsat across tidal systems (FLATS): An index for intermittent tidal filtering and frequency detection in salt marsh environments. Ecological Indicators, 141, 109045. https://doi.org/10.1016/j.ecolind.2022.109045 
  • Sahour, H, Kemink, KM, O’Connell, JL. 2021. Integrating SAR and optical remote sensing for conservation-targeted wetlands mapping. Remote Sensing, 14, 159. https://doi.org/10.3390/rs14010159
  • O’Connell, JL, Mishra, DR, Alber, M, Byrd, KB. 2021. BERM: A Belowground Ecosystem Resiliency Model for estimating Spartina alterniflora belowground biomass. New Phytologist: 232: 425-439. https://doi.org/10.1111/nph.17607      
    ​Find code on GitHub.
  • Hawman, P, Mishra, DR, O’Connell, JL, Cotten, DL, Narron CR, Mao, L. 2021. Salt marsh light use efficiency is driven by biophysical gradients and species-specific physiology and morphology. Journal of Geophysical Research: Biogeosciences 126: e2020JG006213. https://doi.org/10.1029/2020JG006213
  • O’Connell JL, Alber M, Pennings SC. 2019. Microspatial differences in soil temperature cause phenology change on par with long-term climate warming in salt marshes. Ecosystems. https://doi.org/10.1007/s10021-019-00418-1
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  • Alber, M, O’Connell, JL 2019. Elevation drives gradients in surface soil temperature within salt marshes. Geophysical Research Letters, 46:5313–5322. https://doi.org/10.1029/2019GL082374
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  • Tao, J, Mishra, DR, Cotten, DL, O’Connell, JL, Leclerc, M, Nahrawi, HB, Zheng, G, Pahari, R. 2018. A comparison between the MODIS product (MOD17A2) and a tide-robust empirical GPP model evaluated in a Georgia wetland. Remote Sensing 10:1831. https://doi.org/10.3390/rs10111831
  • O’Connell, JL, Mishra DR, Cotten DL, Wang L, Alber M. 2017. The Tidal Marsh Inundation Index (TMII): An inundation filter to flag flooded pixels and improve MODIS tidal marsh vegetation time-series analysis. Remote Sensing of Environment 201:34–46. https://doi.org/10.1016/j.rse.2017.08.008
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  • O’Connell JL, Alber M. 2016. A smart classifier for extracting environmental data from digital image time-series: Applications for PhenoCam data in a tidal salt marsh. Environmental Modelling & Software 84: 134–139. http://dx.doi.org/10.1016/j.envsoft.2016.06.025
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      Find code on my projects page.
  • O’Connell JL, Daniel, DW, McMurry, ST, Smith, LM, 2016. Soil organic carbon in playas and adjacent prairies, cropland, and Conservation Reserve Program land of the High Plains, USA. Soil and Tillage Research 156: 16–24. http://dx.doi.org/10.1016/j.still.2015.09.012
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  • O’Connell JL, Byrd KB, and M. Kelly. 2015. A hybrid model for mapping relative differences in belowground biomass and root:shoot ratios using spectral reflectance, foliar N, and plant biophysical data within coastal marsh. Remote Sensing 7:16480-16503. http://dx.doi.org/10.3390/rs71215837  
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  • Mishra DR, Ghosh S, Hladik C, O’Connell, JL, Cho HJ. 2015. Wetland mapping methods and techniques using multi-sensor, multi-resolution remote sensing: Successes and Challenges. In: Remote Sensing of Water Resources, Disasters, and Urban Studies. Editor: Thenkabail PS. Taylor and Francis Group, Boca Raton FL, USA.
  • O’Connell JL, Byrd KB, and M. Kelly. 2014. Remotely-Sensed Indicators of N-Related Biomass Allocation in Schoenoplectus acutus. PLoS ONE 9: e90870. http://dx.doi.org/10.1371/journal.pone.0090870
  • Byrd KB, O’Connell JL, Di Tommaso S, Kelly M. 2014. Evaluation of sensor types and environmental controls on mapping biomass of coastal marsh emergent vegetation. Remote Sensing of Environment 149:166-180. http://dx.doi.org/10.1016/j.rse.2014.04.003
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  • O’Connell, JL, Johnson, LA, Smith, LM, Haukos, DA and ST McMurry. 2013. Influence of sedimentation and cultivation on plant communities in playa wetlands in the High Plains. Journal of Environmental Management 120: 10-17.
  • O’Connell, JL, Johnson, LA, Beas, BJ, Smith, LM, Haukos, DA and ST McMurry. 2013. Predicting dispersal-limitation in plants: Optimizing planting decisions for isolated wetland restoration in agricultural landscapes. Biological Conservation159: 343-354. http://dx.doi.org/10.1016/j.biocon.2012.10.019
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  • O’Connell, JL, Johnson, LA, Smith, LM, Haukos, DA and ST McMurry. 2012. Influence of land-use and conservation programs on playa wetland ecosystem services in the U.S. High Plains. Biological Conservation 146:108-115. http://dx.doi.org/10.1016/j.biocon.2011.11.030 
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