Publications

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YearArticle
2025Kibler CL, Quetin GR, Trugman AT. Evapotranspiration sensitivity to environmental variability provides a window into subsurface processes in the soil-plant-atmosphere continuum. Journal of Geophysical Research: Biogeosciences 130(9): e2025JG009097. https://doi.org/10.1029/2025JG009097
2025Kui L, Williams J, Singer MB, Stella JC, Kibler CL, Dawson TE, Rohde MM, Lambert AM, Roberts DA. Increased groundwater dependence of riparian vegetation in response to drought. Ecohydrology 18(5): e70060. https://doi.org/10.1002/eco.70060
2025Chadwick KD, and many coauthors including Kibler CL. Unlocking ecological insights from subseasonal visible-to-shortwave infrared imaging spectroscopy: The SBG High Frequency Time Series (SHIFT) campaign. Ecosphere 16(3): e70194. https://doi.org/10.1002/ecs2.70194
2025Pierrat ZA, Magney T, Richardson WP, Runkle BRK, Diehl JL, Yang X, Woodgate W, Smith WK, Johnston MR, Ginting YRS, Koren G, Albert L, Kibler CL, Morgan BE, Barnes M, Uscanga A, Javadian M, Meza K, Julitta T, Tagliabue G, Dannenberg MP, Antala M, Wong CYS, Santos ALD, Hufkens K, Marrs JK, Stovall AEL, Liu Y, Fisher JB, Gamon JA, Cawse-Nicholson K. Proximal remote sensing: An essential tool for bridging the gap between high resolution ecosystem monitoring and global ecology. New Phytologist 246(2): 419-436. https://doi.org/10.1111/nph.20405
2023Kibler CL, Trugman AT, Roberts DA, Still CJ, Scott RL, Caylor KK, Stella JC, Singer MB. Evapotranspiration regulates leaf temperature and respiration in dryland vegetation. Agricultural and Forest Meteorology 339: 109560. https://doi.org/10.1016/j.agrformet.2023.109560
2021Kibler CL, Schmidt EC, Roberts DA, Stella JC, Kui L, Lambert AM, Singer MB. A brown wave of riparian woodland mortality following groundwater declines during the 2012-2019 California drought. Environmental Research Letters 16(8): 084030. https://doi.org/10.1088/1748-9326/ac1377
2019Kibler CL, Parkinson AML, Peterson SH, Roberts DA, D’Antonio CM, Meerdink SK, Sweeney SH. Monitoring post-fire recovery of chaparral and conifer species using field surveys and Landsat time series. Remote Sensing 11(24): 2963. https://doi.org/10.3390/rs11242963