Karina VR Schafer

Karina VR Schafer

Rutgers, The State University of New Jersey

H-index: 37

North America-United States

About Karina VR Schafer

Karina VR Schafer, With an exceptional h-index of 37 and a recent h-index of 29 (since 2020), a distinguished researcher at Rutgers, The State University of New Jersey, specializes in the field of Ecosystem Ecology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Empirical dynamic modeling reveals complexity of methane fluxes in a temperate salt marsh

Woody species with higher hydraulic efficiency or lower photosynthetic capacity discriminate more against 13C at the global scale

Modeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions

Duke Forest FACE (FACTS-I): Plant and Soil Response Data

Determining Which Northern Hardwood Tree Species has the Highest Photosynthesis Rate and Optimal Plant Functional Traits for Promoting Carbon Sequestration

Photosynthetic and hydraulic traits influence forest resistance and resilience to drought stress across different biomes

Biosphere-atmosphere exchange of CO2 and CH4 in mangrove forests and salt marshes

Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales

Karina VR Schafer Information

University

Position

Ecosystem Ecology, Rutgers University-Newark

Citations(all)

6597

Citations(since 2020)

2464

Cited By

4927

hIndex(all)

37

hIndex(since 2020)

29

i10Index(all)

58

i10Index(since 2020)

50

Email

University Profile Page

Rutgers, The State University of New Jersey

Google Scholar

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Karina VR Schafer Skills & Research Interests

Ecosystem Ecology

Top articles of Karina VR Schafer

Title

Journal

Author(s)

Publication Date

Empirical dynamic modeling reveals complexity of methane fluxes in a temperate salt marsh

Journal of Geophysical Research: Biogeosciences

Andrew C Hill

Karina VR Schäfer

Inke Forbrich

Rodrigo Vargas

2024/2

Woody species with higher hydraulic efficiency or lower photosynthetic capacity discriminate more against 13C at the global scale

Science of The Total Environment

Yanting Hu

Karina VR Schäfer

Songjiang Hu

Wenneng Zhou

Dong Xiang

...

2024/1/15

Modeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions

Global Change Biology

Masahito Ueyama

Sara H Knox

Kyle B Delwiche

Sheel Bansal

William J Riley

...

2023/4

Duke Forest FACE (FACTS-I): Plant and Soil Response Data

Ram Oren

Dohyoung Kim

Chris Maier

Andrew Oishi

Eric Ward

...

2023/1/1

Determining Which Northern Hardwood Tree Species has the Highest Photosynthesis Rate and Optimal Plant Functional Traits for Promoting Carbon Sequestration

AGU Fall Meeting Abstracts

Julia N Seay

Karina V Schafer

2022/12

Photosynthetic and hydraulic traits influence forest resistance and resilience to drought stress across different biomes

Science of the Total Environment

Yanting Hu

Wenhua Xiang

Karina VR Schäfer

Pifeng Lei

Xiangwen Deng

...

2022/7/1

Biosphere-atmosphere exchange of CO2 and CH4 in mangrove forests and salt marshes

Jiangong Liu

Karina VR Schäfer

Derrick YF Lai

2022/1/1

Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales

Global change biology

Sara H Knox

Sheel Bansal

Gavin McNicol

Karina Schafer

Cove Sturtevant

...

2021/8

FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands: A global, multi-ecosystem dataset and analysis of methane …

Earth system science data

Kyle B Delwiche

Sara Helen Knox

Avni Malhotra

Etienne Fluet-Chouinard

Gavin McNicol

...

2021/7/29

Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions

Nature Communications

Kuang-Yu Chang

William J Riley

Sara H Knox

Robert B Jackson

Gavin McNicol

...

2021/4/15

Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

Agricultural and Forest Meteorology

Jeremy Irvin

Sharon Zhou

Gavin McNicol

Fred Lu

Vincent Liu

...

2021/10/15

Impacts of canopy and understory nitrogen additions on stomatal conductance and carbon assimilation of dominant tree species in a temperate broadleaved deciduous forest

Ecosystems

Yanting Hu

Karina VR Schäfer

Liwei Zhu

Ping Zhao

Xiuhua Zhao

...

2021/9/1

Whole-plant water hydraulic integrity to predict drought-induced Eucalyptus urophylla mortality under drought stress

Forest Ecology and Management

Xia Chen

Ping Zhao

Lei Ouyang

Liwei Zhu

Guangyan Ni

...

2020/7/15

Tidal wetland Gross Primary Production across the continental United States, 2000-2018

Global Biogeochemical Cycles

RA Feagin

I Forbrich

TP Huff

JG Barr

J Ruiz‐Plancarte

...

2020/2

FLUXNET-CH4 US-MRM Marsh Resource Meadowlands Mitigation Bank

Karina Schafer

2020/1/1

Global transpiration data from sap flow measurements: the SAPFLUXNET database

Earth System Science Data Discussions

Rafael Poyatos

Víctor Granda

Víctor Flo

Mark A Adams

Balázs Adorján

...

2020/10/9

Gross Primary Production Maps of Tidal Wetlands across Conterminous USA, 2000-2019

ORNL DAAC

RA Feagin

I Forbrich

TP Huff

JG Barr

J Ruiz-Plancarte

...

2020/9/24

See List of Professors in Karina VR Schafer University(Rutgers, The State University of New Jersey)

Co-Authors

H-index: 102
Ram Oren

Ram Oren

Duke University

H-index: 102
Gabriel Katul

Gabriel Katul

Duke University

H-index: 84
William J Mitsch

William J Mitsch

Florida Gulf Coast University

H-index: 57
Lee Slater

Lee Slater

Rutgers, The State University of New Jersey

H-index: 54
Nathan G. Phillips

Nathan G. Phillips

Boston University

H-index: 53
Peter R. Jaffé

Peter R. Jaffé

Princeton University

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