Christopher R Schwalm

Datos Biográficos

ID6824503
NOMBREChristopher R Schwalm
NOMBRESChristopher R
APELLIDOSchwalm
FIRMASCHWALM C R
AFILIACIONESWoodwell Climate Research Center
ORCID0000-0002-5035-5681
VERIFICADOSí
TOTAL DE OBRAS13
TOTAL DE CITAS0
TOTAL COMO AUTOR13
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2013
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0

  • Inequity in action

    Open AccessDominick Dusseau, David McGlinchey et al.ARTICLEOne Earth2025

    Publisher of over 50 scientific journals across the life, physical, earth, and health sciences, both independently and in partnership with scientific societies including Cell, Neuron, Immunity, Current Biology, AJHG, and the Trends Journals

  • Climate constrains the enhancement of CO 2 fertilization on forest gross primary productivity

    Open AccessXinyuan Wei, Daniel J Hayes et al.ARTICLEEnvironmental Research Letters2025

    Forest gross primary production (GPP) is influenced by the interplay between climate conditions and atmospheric CO 2 levels, which interact in complex ways, generating both compensating and amplifying effects. In this study, eddy covariance flux measurements from 50 forest ecosystems were integrated with simulations from 14 terrestrial biosphere models to investigate how climate conditions and atmospheric CO 2 concentrations regulate forest GPP. …

  • Human and natural resource exposure to extreme drought at 1.0 °C–4.0 °C warming levels

    Open AccessIsabelle Michaela Runde, Zachary Zobel et al.ARTICLEEnvironmental Research Letters2022

    Extreme drought occurs on every continent, negatively impacting natural systems and the built environment. Realized and anticipated future warming affects global hydrology, influencing the severity and frequency of both extreme precipitation events and precipitation deficits. Understanding future drought conditions is essential for risk aware water management strategies and to protect food security for a growing human population, while safeguardi…

  • Increasing risks of crop failure and water scarcity in global breadbaskets by 2030

    Open AccessMonica Caparas, Zachary Zobel et al.ARTICLEEnvironmental Research Letters2021

    As the greatest water user in the world, the agricultural sector is vulnerable to changes in climate and water resource availability. Understanding the impact of these changes on crop yield is critical in order to achieve and maintain global food security. We analyze output from an ensemble of Agricultural Model Intercomparison and Improvement Project models to project the probability of rice, soybean, maize, and wheat yield failures across globa…

  • Evaluation of simulated soil carbon dynamics in Arctic-Boreal ecosystems

    Open AccessD N Huntzinger, Kevin Schaefer et al.ARTICLEEnvironmental Research Letters2020

    Given the magnitude of soil carbon stocks in northern ecosystems, and the vulnerability of these stocks to climate warming, land surface models must accurately represent soil carbon dynamics in these regions. We evaluate soil carbon stocks and turnover rates, and the relationship between soil carbon loss with soil temperature and moisture, from an ensemble of eleven global land surface models. We focus on the region of NASA’s Arctic-Boreal vulner…

  • The Arctic-Boreal vulnerability experiment model benchmarking system

    Open AccessEric Stofferahn, Joshua B Fisher et al.ARTICLEEnvironmental Research Letters2019

    NASA’s Arctic-Boreal Vulnerability Experiment (ABoVE) integrates field and airborne data into modeling and synthesis activities for understanding Arctic and Boreal ecosystem dynamics. The ABoVE Benchmarking System (ABS) is an operational software package to evaluate terrestrial biosphere models against key indicators of Arctic and Boreal ecosystem dynamics, i.e.: carbon biogeochemistry, vegetation, permafrost, hydrology, and disturbance. The ABS …

  • Contribution of environmental forcings to US runoff changes for the period 1950–2010

    Open AccessWhitney L Forbes, Jiafu Mao et al.ARTICLEEnvironmental Research Letters2018

    Runoff in the United States is changing, and this study finds that the measured change is dependent on the geographic region and varies seasonally. Specifically, observed annual total runoff had an insignificant increasing trend in the US between 1950 and 2010, but this insignificance was due to regional heterogeneity with both significant and insignificant increases in the eastern, northern, and southern US, and a greater significant decrease in…

  • Forests dominate the interannual variability of the North American carbon sink

    Open AccessYoichi P Shiga, A M Michalak et al.ARTICLEEnvironmental Research Letters2018

    Understanding what drives the interannual variability (IAV) of the land carbon sink is crucial for improving future predictions of this important, yet uncertain, component of the climate system. While drivers of global and hemispheric-scale net ecosystem exchange (NEE) IAV have been investigated, our understanding of the drivers of NEE IAV at regional scales (e.g. sub-continental, biome-level) is quite poor. Here we explore the biome-level attrib…

  • Missing pieces to modeling the Arctic-Boreal puzzle

    Open AccessJoshua B Fisher, Daniel J Hayes et al.ARTICLEEnvironmental Research Letters2017

    NASA has launched the decade-long Arctic-Boreal Vulnerability Experiment (ABoVE). While the initial phases focus on field and airborne data collection, early integration with modeling activities is important to benefit future modeling syntheses. We compiled feedback from ecosystem modeling teams on key data needs, which encompass carbon biogeochemistry, vegetation, permafrost, hydrology, and disturbance dynamics. A suite of variables was identifi…

  • Global land carbon sink response to temperature and precipitation varies with Enso phase

    Open AccessYuanyuan Fang, A M Michalak et al.ARTICLEEnvironmental Research Letters2017

    Climate variability associated with the El Niño-Southern Oscillation (ENSO) and its consequent impacts on land carbon sink interannual variability have been used as a basis for investigating carbon cycle responses to climate variability more broadly, and to inform the sensitivity of the tropical carbon budget to climate change. Past studies have presented opposing views about whether temperature or precipitation is the primary factor driving the …

  • Recovery time and state change of terrestrial carbon cycle after disturbance

    Open AccessZheng Fu, Dejun Li et al.ARTICLEEnvironmental Research Letters2017

    Ecosystems usually recover from disturbance until a stable state, during which carbon (C) is accumulated to compensate for the C loss associated with disturbance events. However, it is not well understood how likely it is for an ecosystem to recover to an alternative state and how long it takes to recover toward a stable state. Here, we synthesized the results from 77 peer-reviewed case studies that examined ecosystem recovery following disturban…

  • Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends

    Open AccessJiafu Mao, Wenting Fu et al.ARTICLEEnvironmental Research Letters2015

    We examined natural and anthropogenic controls on terrestrial evapotranspiration (ET) changes from 1982 to 2010 using multiple estimates from remote sensing-based datasets and process-oriented land surface models. A significant increasing trend of ET in each hemisphere was consistently revealed by observationally-constrained data and multi-model ensembles that considered historic natural and anthropogenic drivers. The climate impacts were simulat…

  • Sensitivity of inferred climate model skill to evaluation decisions

    Open AccessChristopher R Schwalm, Deborah N Huntinzger et al.ARTICLEEnvironmental Research Letters2013

    Confrontation of climate models with observationally-based reference datasets is widespread and integral to model development. These comparisons yield skill metrics quantifying the mismatch between simulated and reference values and also involve analyst choices, or meta-parameters, in structuring the analysis. Here, we systematically vary five such meta-parameters (reference dataset, spatial resolution, regridding approach, land mask, and time pe…