Earth System Science Data

Autor: A. S. Ward, J. P. Zarnetske, V. Baranov, P. J. Blaen, N. Brekenfeld, R. Chu, R. Derelle, J. Drummond, J. H. Fleckenstein, V. Garayburu-Caruso, E. Graham, D. Hannah, C. J. Harman, S. Herzog, J. Hixson, J. L. A. Knapp, S. Krause, M. J. Kurz, J. Lewandowski, A. Li, E. Martí, M. Miller, A. M. Milner, K. Neil, L. Orsini, A. I. Packman, S. Plont, L. Renteria, K. Roche, T. Royer, N. M. Schmadel, C. Segura, J. Stegen, J. Toyoda, J. Wells, N. I. Wisnoski, S. M. Wondzell
Přispěvatelé: Biological Sciences
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Earth System Science Data, Vol 11, Pp 1567-1581 (2019)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Earth System Science Data, 11 (4)
ISSN: 1866-3516
1866-3508
Popis: Este artículo contiene 15 páginas, 3 tablas, 2 figuras.
A comprehensive set of measurements and calculated metrics describing physical, chemical, and biological conditions in the river corridor is presented. These data were collected in a catchment-wide, synoptic campaign in the H. J. Andrews Experimental Forest (Cascade Mountains, Oregon, USA) in summer 2016 during low-discharge conditions. Extensive characterization of 62 sites including surface water, hyporheic water, and streambed sediment was conducted spanning 1st- through 5th-order reaches in the river network. The objective of the sample design and data acquisition was to generate a novel data set to support scaling of river corridor processes across varying flows and morphologic forms present in a river network.
This research has been supported by the Leverhulme Trust (“Where rivers, groundwater and disciplines meet: a hyporheic research network”), the UK Natural Environment Research Council (grant no. NE/L003872/1), the U.S. Department of Energy (Pacific Northwest National Laboratory, grant no. DESC0019377), the National Science Foundation (grant nos. DEB- 1440409, EAR-1652293, EAR-1417603, and EAR-1446328), the University of Birmingham (grant no. Institute of Advanced Studies), and the European Commission (HiFreq, grant no. 734317).
Databáze: OpenAIRE
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