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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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Decadal-scale reduction in forest net ecosystem production following insect defoliation contrasts with short-term impacts of prescribed fires.

TL;DR: This article quantified net ecosystem production, aboveground net primary production (ANPP), and the dynamics of major carbon pools before and during the decade following invasive insect defoliation and prescribed fires in oak-dominated stands in the New Jersey Pinelands National Reserve, USA.
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Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions

Kuang-Yu Chang, +56 more
TL;DR: In this article, the authors evaluate the relationship between [Formula: see text] and temperature using observations from the FLUXNET-CH4 database, and show substantial seasonal hysteresis between the two variables, suggesting larger sensitivity to temperature later in the frost-free season.
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Hydrological responses to defoliation and drought of an upland oak/pine forest

TL;DR: In this article, an upland oak/pine forest in the New Jersey Pinelands was observed and analyzed during 2005-2011, and a local water balance was derived by using sap flux and eddy covariance measurements, stream discharge data from USGS, soil water changes, precipitation (P) and precipitation throughfall.
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Partitioning net ecosystem carbon exchange of native and invasive plant communities by vegetation cover in an urban tidal wetland in the New Jersey Meadowlands (USA)

TL;DR: In this paper, the authors measured net-ecosystem exchange (NEE) in two sites, a natural site and a restored site at the New Jersey Meadowlands, an urban tidal wetland, using the eddy-covariance method from 2014 to 2016.