Overcoming Equifinality: Leveraging Long Time Series for Stream Metabolism Estimation-Reference-Cited by-同舟云学术

Overcoming Equifinality: Leveraging Long Time Series for Stream Metabolism Estimation

Published:2018-02 Issue:2 Volume:123 Page:624-645
ISSN:2169-8953
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:J. Geophys. Res. Biogeosci.

Author:

Appling Alison P.¹^ORCID,Hall Robert O.²^ORCID,Yackulic Charles B.³^ORCID,Arroita Maite²⁴^ORCID

Affiliation:

1. U.S. Geological Survey, Integrated Information Dissemination Division, Data Science Branch; Tucson AZ USA

2. Flathead Lake Biological Station; University of Montana; Polson MT USA

3. U.S. Geological Survey, Grand Canyon Monitoring and Research Center; Flagstaff AZ USA

4. Department of Plant Biology and Ecology; University of the Basque Country; Bilbao Spain

Funder

USGS Powell Center

USGS National Water Quality Assessment Project

USGS Office of Water Information

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017JG004140/fullpdf

Reference61 articles.

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3. USGS National Water-Quality Assessment Program;Bales,2007

4. Free-water lake metabolism: Addressing noisy time series with a Kalman filter: Kalman filter metabolism;Batt;Limnology and Oceanography: Methods,2012

5. Continuous monitoring reveals multiple controls on ecosystem metabolism in a suburban stream;Beaulieu;Freshwater Biology,2013

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