Most of the world’s terrestrial carbon is found in the critical zone, where it is predominantly stored as soil carbon. This important carbon reservoir is sensitive to climatic and land use change and may act as a source or sink for atmospheric carbon dioxide. Despite its importance, soil carbon remains a critical source of uncertainty in both carbon cycling and global climate models. That uncertainty arises due to both an incomplete understanding of the processes dictating soil carbon fate and the challenge of up-scaling often highly spatially and temporally heterogeneous soil processes to the landscape or global level.
Reynolds Creek Experimental Watershed in Owyhee County, Idaho is particularly well suited for this effort because it extends over strong gradients in climate and vegetation with associated dramatic differences in both soil organic and inorganic carbon. These gradients facilitate both observation-based science and experimental investigations in which the gradients act as primary variables. This new CZO is also be supported by unique long-term, spatially- extensive, meteorological, soil monitoring, and atmospheric datasets developed and maintained by our main partner, the USDA Agricultural Research Service (ARS), that will both inform and constrain conceptual and numerical models of soil carbon behavior.
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27 Oct 2020 - They’re beneath our feet, but we seldom hear important signals in the soils
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17 Jun 2020 - For an updated listing of these talks, including abstracts, see /national/education-outreach/sustainability-2020/ The U.S....
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19 Nov 2019 - A list of CZ-related sessions, abstracts and events at the 2019 AGU Fall Meeting.
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08 Jul 2019 - CZO will end Nov 2020, succeeded by the “CZ Collaborative Network”. Let’s explore how the CZ community can build upon the CZOs via new NSF proposals.
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28 Apr 2019 - The results of a 20-year “drylands” experiment at the Idaho National Laboratory by Idaho State University researchers and partners has...
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19 Nov 2018 - The 2018 AGU Fall Meeting will be held December 10-14 in Washington, D.C.
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26 Aug 2018 - A team of Idaho State University researchers working at the Reynolds Creek Critical Zone Observatory in partnership with the USDA Agricultural...
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10 May 2018 - The Discoveries section of the National Science Foundation's website on Critical Zone Observatories (CZOs).
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14 Sep 2016 - Reynolds Creek CZO is hosting a PI meeting September 18th to the 21st is Boise, Idaho. ...
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22 Aug 2016 - The Physiological Ecology Section is pleased to announce the 2016 merit award winners for their presentations at the ESA meeting in Ft. Lauderdale.
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09 Feb 2016 - Students dig a soil pit in Johnston Draw, Reynolds Creek Experimental Watershed. They made a time-lapse video during the early part of their work.
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17 Jul 2015 - An Organized Session On Critical Zone Ecology At The 100th Annual Meeting Of The Ecological Society Of America August 9-14, 2015 In Baltimore, Md.
06 Nov 2018 - Marshall Receives 2018 Luna B. Leopold Young Scientist Award
06 Mar 2018 - A discussion is open for the manuscript, "Elevating the biogeosciences within environmental research networks".
01 Jan 2018 - New Opportunities for Critical Zone Science Following the June 2017 Arlington Meeting for Critical Zone Science (hosted by CZO), a white booklet...
05 Dec 2017 - Information on CZO award recipients, events, presentations, etc. at the 2017 AGU Fall Meeting.
30 Oct 2017 - Water Resources Research published a new special collection in September 2017 featuring concentration-discharge research from multiple CZOs.
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Resolving Deep Critical Zone Architecture in Complex Volcanic Terrain. Moravec B.G., White A.M., Root R.A, Sanchez A., Olshansky Y., Paras B.K., Carr B., McIntosh J., Pelletier J.D., Rasmussen C., Holbrook W.S., Chorover J. (2020): Journal of Geophysical Research: Earth Surface 125(1): e2019JF005189 Cross-CZO
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Ecological and genomic attributes of novel bacterial taxa that thrive in subsurface soil horizons. Brewer, Tess E., Emma L. Aronson, Keshav Arogyaswamy, Sharon A. Billings, Jon K. Botthoff, Ashley N. Campbell, Nicholas C. Dove, Dawson Fairbanks, Rachel E. Gallery, Stephen C. Hart, Jason Kaye, Gary King, Geoffrey Logan, Kathleen A. Lohse, Mia R. Maltz, Emilio Mayorga, Caitlin O’Neill, Sarah M. Owens, Aaron Packman, Jennifer Pett-Ridge, Alain F. Plante, Daniel D. Richter, Whendee L. Silver, Wendy H. Yang, Noah Fierer (2019): mBio Oct 2019, 10 (5) e01318-19 Cross-CZO National
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Vegetation and precipitation shifts interact to alter organic and inorganic carbon storage in desert soils. Huber, D.P., Lohse, K.A., Commendador, A., Joy, S., Finney, B., Aho, K., and M. Germino (2019): Ecosphere 10( 3):e02655
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Topographic controls on soil organic carbon on soil-mantled landscapes. Patton, N.P., Lohse, K.A., Seyfried, M., S. Godsey, and S. Parsons (2019): Scientific Reports 9: 6390
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Dynamic process connectivity explains ecohydrologic responses to rainfall pulses and drought. Goodwell, A.E., Kumar, P., Fellows, A.W., and Flerchinger, G.N. (2018): PNAS 115 (37) E8604-E8613 Cross-CZO
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Ideas and perspectives: Strengthening the biogeosciences in environmental research networks. Richter, D.D., S.A. Billings, P.M. Groffman, E.F. Kelly, K.A. Lohse, W.H. McDowell, T.S. White, S. Anderson, D.D. Baldocchi, S. Banwart, S. Brantley, J.J. Braun, Z.S. Brecheisen, C.W. Cook, H.E. Hartnett, S.E. Hobbie, J. Gaillardet, E. Jobbagy, H.F. Jungkunst, C.E. Kazanski, J. Krishnaswamy, D. Markewitz, K. O’Neill, C.S. Riebe, P. Schroeder, C. Siebe, W.L. Silver, A. Thompson, A. Verhoef, G. Zhang (2018): Biogeosciences 15: 4815-4832 Cross-CZO National
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Predicting soil thickness on soil mantled hillslopes. Patton, N.P., Lohse, K.A., S.E. Godsey, Crosby, B.T., and Seyfried, M. (2018): Nature Communications 9: 3329
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A field comparison of multiple techniques to quantify groundwater–surface-water interactions. González-Pinzón, R., Ward, A., Hatch, C., Wlostowski, A., Singha, K., Gooseff, M., Haggerty, R., Harvey, J., Cirpka, O., and Brock, J. (2015): Freshwater Science, 34(1) Cross-CZO
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Analytical model for flow duration curves in seasonally dry climates. Müller, M.F., Dralle, D.N., and Thompson, S.E. (2014): Water Resources Research 50(7): 5510-5531. Cross-CZO
Winter CO2 efflux from sagebrush shrublands distributed across the rain‐to‐snow transition zone. Fellows, A.W., Flerchinger, G.N., Seyfried, G.N., Biederman, J.A.. and K.A. Lohse (2020): JGR Biogeosciences
Understanding the effect of fire on vegetation composition and gross primary production in a semi-arid shrubland ecosystem using the Ecosystem Demography (EDv22) model. Pandit, K., Dashti, H., Hudak, A.T., Glenn, N.F., Flores, A.N., and D.J. Shinneman (2020): Biogeosciences Discuss.
Interaction of wind and cold‐season hydrologic processes on erosion from complex topography following wildfire in sagebrush steppe. Vega, S.P., Williams, C.J., Brooks, E.S., Pierson, F.B., Strand, E.K., Robichaud, P.R., Brown, R.E., Seyfried, M.S., Lohse, K.A., Glossner, K., Pierce, J.L., C. Roehner (2019): Earth Surface Processes and Landforms
Leveraging environmental research and observation networks to advance soil carbon science. Weintraub, S.R., Flores, A.N., Wieder, W.R., Sihi, D., Cagnarini, C., and D.R.P. Concalves (2019): Journal of Geophysical Research: Biogeosciences
Developing and optimizing shrub parameters representing sagebrush (Artemisia spp) ecosystems in the northern Great Basin using the Ecosystem Demography (EDv22) model. Pandit, K., Dashti, H., Glenn, N.F., Flores, A.N., Maguire, K.C., Shinneman, D.J., Flerchinger, G.N., and A.W. Fellows (2019): Geosci. Model Dev.
Regional scale dryland vegetation classification with an integrated lidar-hyperspectral approach. Dashti, H., Poley, A., Glenn, N.F., Ilangakoon, N., Spaete, L., Roberts, D., Enterkine, J., Flores, A.N., Ustin, S.L., and J.J. Mitchell (2019): Remote Sensing
Empirical methods for remote sensing of nitrogen in drylands may lead to unreliable interpretation of ecosystem function. Dashti, H., Glenn, N.F., Ustin, S., Mitchell, J.J., Qi, Y., Ilangakoon, N.T., Flores, A.N., Silvan-Cardenas, J., Zhao, K., Spaete, L.P., and M.A. de Graaff (2019): IEEE Transactions on Geoscience and Remote Sensing