Oxygen metabolism and pH in coastal ecosystems: Eddy Covariance Hydrogen ion and Oxygen Exchange System (ECHOES)

2015 ◽  
Vol 13 (8) ◽  
pp. 438-450 ◽  
Author(s):  
Matthew H. Long ◽  
Matthew A. Charette ◽  
William R. Martin ◽  
Daniel C. McCorkle
Keyword(s):  
Eddy Covariance ◽  
Oxygen Metabolism ◽  
Coastal Ecosystems ◽  
Oxygen Exchange ◽  
Hydrogen Ion ◽  
Exchange System

Oxygen metabolism of intertidal oyster reefs measured by aquatic eddy covariance

2018 ◽  
Vol 599 ◽  
pp. 75-91 ◽  
Author(s):  
MP Volaric ◽  
P Berg ◽  
MA Reidenbach
Keyword(s):  
Eddy Covariance ◽  
Oxygen Metabolism ◽  
Oyster Reefs

scholarly journals An Eddy Covariance Mesonet For Measuring Greenhouse Gas Fluxes in Coastal South Carolina

Data ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 97
Author(s):  
Jeremy D. Forsythe ◽  
Thomas L. O’Halloran ◽  
Michael A. Kline
Keyword(s):  
South Carolina ◽  
Eddy Covariance ◽  
Longleaf Pine ◽  
Sensor Arrays ◽  
Coastal Ecosystems ◽  
Tidal Salt Marsh ◽  
Global Carbon Budget ◽  
Gas Fluxes ◽  
Climate Studies ◽  
Global Carbon

Coastal ecosystems are vulnerable to climate change and have been identified as sources of uncertainty in the global carbon budget. Here we introduce a recently established mesonet of eddy covariance towers in South Carolina and describe the sensor arrays and data workflow used to produce three site-years of flux observations in coastal ecosystems. The tower sites represent tidal salt marsh (US-HB1), mature longleaf pine forest (US-HB2), and longleaf pine restoration (replanted clearcut; US-HB3). Coastal ecosystems remain less represented in climate studies despite their potential to sequester large amounts of carbon. Our goal in publishing this open access dataset is to contribute observations in understudied coastal ecosystems to facilitate synthesis and modeling analyses that advance carbon cycle science.

scholarly journals Comparison of benthic oxygen exchange measured by aquatic Eddy Covariance and Benthic Chambers in two contrasting coastal biotopes (Bay of Brest, France)

2021 ◽  
Vol 43 ◽  
pp. 101668
Author(s):  
Pierre Polsenaere ◽  
Bruno Deflandre ◽  
Gérard Thouzeau ◽  
Sylvain Rigaud ◽  
Tom Cox ◽  
...  
Keyword(s):  
Eddy Covariance ◽  
Oxygen Exchange ◽  
Benthic Chambers ◽  
Bay Of Brest

scholarly journals Benthic oxygen exchange in a live coralline algal bed and an adjacent sandy habitat: an eddy covariance study

2015 ◽  
Vol 535 ◽  
pp. 99-115 ◽  
Author(s):  
KM Attard ◽  
H Stahl ◽  
NA Kamenos ◽  
G Turner ◽  
HL Burdett ◽  
...  
Keyword(s):  
Eddy Covariance ◽  
Oxygen Exchange ◽  
Sandy Habitat

Machine-Scored Syntax: Comparison of the CLAN Automatic Scoring Program to Manual Scoring

2020 ◽  
Vol 51 (2) ◽  
pp. 479-493
Author(s):  
Jenny A. Roberts ◽  
Evelyn P. Altenberg ◽  
Madison Hunter
Keyword(s):  
Data Exchange ◽  
Child Language ◽  
Exchange System ◽  
Absolute Point ◽  
Language Analysis ◽  
Search Patterns ◽  
Language Data ◽  
Report Accuracy ◽  
Point To Point ◽  
Automatic Scoring

Purpose The results of automatic machine scoring of the Index of Productive Syntax from the Computerized Language ANalysis (CLAN) tools of the Child Language Data Exchange System of TalkBank (MacWhinney, 2000) were compared to manual scoring to determine the accuracy of the machine-scored method. Method Twenty transcripts of 10 children from archival data of the Weismer Corpus from the Child Language Data Exchange System at 30 and 42 months were examined. Measures of absolute point difference and point-to-point accuracy were compared, as well as points erroneously given and missed. Two new measures for evaluating automatic scoring of the Index of Productive Syntax were introduced: Machine Item Accuracy (MIA) and Cascade Failure Rate— these measures further analyze points erroneously given and missed. Differences in total scores, subscale scores, and individual structures were also reported. Results Mean absolute point difference between machine and hand scoring was 3.65, point-to-point agreement was 72.6%, and MIA was 74.9%. There were large differences in subscales, with Noun Phrase and Verb Phrase subscales generally providing greater accuracy and agreement than Question/Negation and Sentence Structures subscales. There were significantly more erroneous than missed items in machine scoring, attributed to problems of mistagging of elements, imprecise search patterns, and other errors. Cascade failure resulted in an average of 4.65 points lost per transcript. Conclusions The CLAN program showed relatively inaccurate outcomes in comparison to manual scoring on both traditional and new measures of accuracy. Recommendations for improvement of the program include accounting for second exemplar violations and applying cascaded credit, among other suggestions. It was proposed that research on machine-scored syntax routinely report accuracy measures detailing erroneous and missed scores, including MIA, so that researchers and clinicians are aware of the limitations of a machine-scoring program. Supplemental Material https://doi.org/10.23641/asha.11984364

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