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Stephen Pacala

Stephen Pacala

· Frederick D. Petrie Professor Emeritus, EEB | Senior Scholar, HMEIVerified

Princeton University · Ecology and Evolutionary Biology

Active 1979–2024

h-index101
Citations50.0k
Papers26440 last 5y
Funding$205k
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Research topics

  • Environmental science
  • Ecology
  • Natural resource economics
  • Climatology
  • Business
  • Geology
  • Economics
  • Geography
  • Biology
  • Chemistry
  • Astrobiology
  • Atmospheric sciences
  • Meteorology
  • Environmental chemistry
  • Environmental resource management

Selected publications

  • The Land Component LM4.1 of the GFDL Earth System Model ESM4.1: Model Description and Characteristics of Land Surface Climate and Carbon Cycling in the Historical Simulation

    Journal of Advances in Modeling Earth Systems · 2024 · 32 citations

    • Environmental science
    • Atmospheric sciences
    • Climatology

    Abstract We describe the baseline model configuration and simulation characteristics of the Geophysical Fluid Dynamics Laboratory (GFDL)'s Land Model version 4.1 (LM4.1), which builds on component and coupled model developments over 2013–2019 for the coupled carbon‐chemistry‐climate Earth System Model Version 4.1 (ESM4.1) simulation as part of the sixth phase of the Coupled Model Intercomparison Project. Analysis of ESM4.1/LM4.1 is focused on biophysical and biogeochemical processes and interactions with climate. Key features include advanced vegetation dynamics and multi‐layer canopy energy and moisture exchanges, daily fire, land use representation, and dynamic atmospheric dust coupling. We compare LM4.1 performance in the GFDL Earth System Model (ESM) configuration ESM4.1 to the previous generation component LM3.0 in the ESM2G configuration. ESM4.1/LM4.1 provides significant improvement in the treatment of ecological processes from GFDL's previous generation models. However, ESM4.1/LM4.1 likely overestimates the influence of land use and land cover change on vegetation characteristics, particularly on pasturelands, as it overestimates the competitiveness of grasses versus trees in the tropics, and as a result, underestimates present‐day biomass and carbon uptake in comparison to observations.

  • Risk of the hydrogen economy for atmospheric methane

    Nature Communications · 2022 · 106 citations

    • Environmental science
    • Astrobiology
    • Natural resource economics

    can reduce methane emissions only if methane losses are below 1%. We address and discuss the main uncertainties in our results and the implications for the decarbonization of the energy sector.

  • Acting rapidly to deploy readily available methane mitigation measures by sector can immediately slow global warming

    Environmental Research Letters · 2021 · 372 citations

    • Environmental science
    • Natural resource economics
    • Business

    Abstract Methane mitigation is essential for addressing climate change, but the value of rapidly implementing available mitigation measures is not well understood. In this paper, we analyze the climate benefits of fast action to reduce methane emissions as compared to slower and delayed mitigation timelines. We find that the scale up and deployment of greatly underutilized but available mitigation measures will have significant near-term temperature benefits beyond that from slow or delayed action. Overall, strategies exist to cut global methane emissions from human activities in half within the next ten years and half of these strategies currently incur no net cost. Pursuing all mitigation measures now could slow the global-mean rate of near-term decadal warming by around 30%, avoid a quarter of a degree centigrade of additional global-mean warming by midcentury, and set ourselves on a path to avoid more than half a degree centigrade by end of century. On the other hand, slow implementation of these measures may result in an additional tenth of a degree of global-mean warming by midcentury and 5% faster warming rate (relative to fast action), and waiting to pursue these measures until midcentury may result in an additional two tenths of a degree centigrade by midcentury and 15% faster warming rate (relative to fast action). Slow or delayed methane action is viewed by many as reasonable given that current and on-the-horizon climate policies heavily emphasize actions that benefit the climate in the long-term, such as decarbonization and reaching net-zero emissions, whereas methane emitted over the next couple of decades will play a limited role in long-term warming. However, given that fast methane action can considerably limit climate damages in the near-term, it is urgent to scale up efforts and take advantage of this achievable and affordable opportunity as we simultaneously reduce carbon dioxide emissions.

  • Climate-driven risks to the climate mitigation potential of forests

    Science · 2020 · 786 citations

    • Environmental science
    • Environmental resource management
    • Climatology

    Forests have considerable potential to help mitigate human-caused climate change and provide society with many cobenefits. However, climate-driven risks may fundamentally compromise forest carbon sinks in the 21st century. Here, we synthesize the current understanding of climate-driven risks to forest stability from fire, drought, biotic agents, and other disturbances. We review how efforts to use forests as natural climate solutions presently consider and could more fully embrace current scientific knowledge to account for these climate-driven risks. Recent advances in vegetation physiology, disturbance ecology, mechanistic vegetation modeling, large-scale ecological observation networks, and remote sensing are improving current estimates and forecasts of the risks to forest stability. A more holistic understanding and quantification of such risks will help policy-makers and other stakeholders effectively use forests as natural climate solutions.

Recent grants

Frequent coauthors

  • Elena Shevliakova

    NOAA Geophysical Fluid Dynamics Laboratory

    47 shared
  • Sergey Malyshev

    NOAA Geophysical Fluid Dynamics Laboratory

    39 shared
  • Manuel Gloor

    35 shared
  • Jorge L. Sarmiento

    35 shared
  • Drew W. Purves

    28 shared
  • Pieter P. Tans

    University of Colorado Boulder

    27 shared
  • John P. Caspersen

    University of Toronto

    25 shared
  • Simon A. Levin

    Princeton University

    25 shared

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