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Karina V. R. Schäfer

Researcher at Rutgers University

Publications -  65
Citations -  5226

Karina V. R. Schäfer is an academic researcher from Rutgers University. The author has contributed to research in topics: Stomatal conductance & Transpiration. The author has an hindex of 27, co-authored 64 publications receiving 4447 citations. Previous affiliations of Karina V. R. Schäfer include University of Bayreuth & Duke University.

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Carbon dioxide fluxes of an urban tidal marsh in the Hudson-Raritan estuary

TL;DR: In this paper, a mesohaline tidal urban wetland that has been restored and determined the biophysical drivers of NEE in order to investigate uptake strength and drivers thereof was measured using the eddy covariance technique.
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Gap-filling eddy covariance methane fluxes : Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

Jeremy Irvin, +93 more
TL;DR: In this paper, the authors synthesize results of different gap-filling methods systematically applied at 17 wetland sites spanning boreal to tropical regions and including all major wetland classes and two rice paddies.
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Above- and Belowground Biomass Allocation in Four Dominant Salt Marsh Species of the Eastern United States

TL;DR: In this article, the authors measured aboveground and belowground biomass, root and rhizome characteristics, leaf area index (LAI), and carbon to nitrogen (C/N) ratio of various tissues of four tidal marsh species in New Jersey by harvesting biomass during peak growing season.
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Responses of sap flux and intrinsic water use efficiency to canopy and understory nitrogen addition in a temperate broadleaved deciduous forest

TL;DR: The traditional understory addition approach could not fully reflect the effects of increased N deposition on the canopy-associated transpiration process indicated by the different responses of Js and WUEi to canopy and understory N addition, and exaggerated its influences induced by the variation of soil chemical properties.
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Tidal marsh methane dynamics: Difference in seasonal lags in emissions driven by storage in vegetated versus unvegetated sediments

TL;DR: In this article, measurements of sediment-air CH4 fluxes were combined with monitoring of belowground CH4 pools in a New Jersey tidal marsh in order to clarify mechanistic links between environmental drivers, subsurface dynamics, and atmospheric emissions.