Earth and Environmental Sciences Area Logo Earth and Environmental Sciences Area Logo
Lawrence Berkeley National Laboratory Logo
Menu
  • About Us
    • Contact Us
    • Organizational Charts
    • Virtual Tours
    • EESA Strategic Vision
  • Our People
    • A-Z People
    • Alumni Network
    • Area Offices
    • Committees
    • Directors
    • IDEA Working Group
    • Paul A. Witherspoon
    • Postdocs & Early Careers
    • Search by Expertise
  • Careers & Opportunities
    • Careers
    • Intern Pilot w/CSUEB
    • Mentorship Program
    • Recognition & Funding Opps
    • EESA Mini Grants
    • S&E Metrics for Performance and Promotion
    • Student Opportunities
    • Supervisor EnRichment (SupER) Program
    • Promotion Metrics (Scientific)
  • Research
    • Area-Wide Program Domain
      • Earth AI & Data
    • Our Divisions
    • Climate & Ecosystem Sciences Division
      • Environmental & Biological Systems Science
        • Programs
        • Environmental Remediation & Water Resources
        • Ecosystems Biology Program
        • Bioenergy
      • Biosphere-Atmosphere Interactions
        • Programs
        • Climate Modeling
        • Atmospheric System Research
        • Terrestrial Ecosystem Science
      • Climate & Atmosphere Processes
        • Programs
        • Climate Modeling
        • Atmospheric System Research
      • Earth Systems & Society
        • Programs
        • Climate Modeling
    • Energy Geosciences Division
      • Discovery Geosciences
        • Programs
        • Basic Energy Sciences (BES) Geophysics
        • Basic Energy Sciences (BES) Geochemistry
        • Basic Energy Sciences (BES) Isotope
      • Energy Resources and Carbon Management
        • Programs
        • Carbon Removal & Mineralization Program
        • Carbon Storage Program
        • Geothermal Systems
        • Hydrocarbon Science
        • Nuclear Energy & Waste
      • Resilient Energy, Water & Infrastructure
        • Programs
        • Water-Energy
        • Critical Infrastructure
        • Environmental Resilience
        • Grid-Scale Subsurface Energy Storage
        • National Alliance for Water Innovation (NAWI)
    • Projects
    • Research at a Glance
    • Publication Lists
    • Centers and Resources
    • Technologies & National User Programs
  • Departments
    • Climate Sciences
    • Ecology
    • Geochemistry
    • Geophysics
    • Hydrogeology
    • Operations
  • News & Events
    • News
    • Events
    • Earth & Environment Newsletter
  • Intranet
  • Safety
    • EESA Safety
  • FoW
  • Search

  • all
  • people
  • events
  • posts
  • pages
  • projects
  • publications

Negron-Juarez et al. find that most ESMs show carbon uptake bias for tropical forests1 min read

by Marilyn Saarni on October 27, 2015

Announcements Climate & Carbon Sciences Program Climate & Carbon Sciences Program Area Climate and Atmosphere Processes Program Domain Climate and Ecosystem Sciences Division Climate Sciences Department
Amazon Forest at dusk. Photo taken by Jeff Chambers.

Amazon Forest at dawn. Photo taken by Jeff Chambers.

Robinson Negrón-Juárez, Charles Koven, William Riley, Ryan Knox, and Jeff Chambers, researchers in EESA and CESD, published a letter in Environmental Research Letters showing that most earth system models (ESM) overpredict tropical forest biomass in response to increased forest productivity. In contrast, observations show that as tropical forest productivity increases, trees do not continue to store CO2 at the same rate, and biomass saturates. This bias may lead to an overprediction of carbon uptake in response to climate change. Negrón-Juárez et al. explain that observations of how plants allocate the carbon derived from photosynthesis into leaves, wood and roots are useful to assess model performance. Including these allocation patterns and turnover times into ESMs will improve understanding of how quickly the climate system will warm over the coming decades.

Their paper was highlighted by Environmental Research Web this September.

Citation: Observed allocations of productivity and biomass, and turnover times in tropical forests are not accurately represented in CMIP5 Earth system models. Robinson I Negrón-Juárez, Charles D Koven, William J Riley, Ryan G Knox and Jeffrey Q Chambers. Open Access: Environmental Research Letters 10 (2015) 064017; doi:10.1088/1748-9326/10/6/064017. http://dx.doi.org/10.1088/1748-9326/10/6/064017

News & Events

Chun Chang Places Second in Annual Berkeley Lab Pitch Competition3 min read

January 18, 2023

Commercializing Berkeley Lab inventions is an important part of the Lab’s mission, and one that requires strong communication skills. For example, Lab inventors need to be able to pitch their ideas to external partners and potential funders.  The annual Berkeley Lab Pitch Competition occurred on October 27, 2022 and is a part of an entrepreneurship…

EESA Scientists Collaborate With Universities to bring Environmental Science Research Opportunities and Training to Students Underrepresented in STEM3 min read

January 13, 2023

  EESA researchers are collaborators in three of the 41 projects awarded in December by DOE through its Reaching a New Energy Sciences Workforce (RENEW) initiative.  RENEW aims to build foundations for research at institutions that have been historically underrepresented in the Office of Science (SC) research portfolio. The initiative provides opportunities for undergraduate and…

New Report Explores Revolutionary Environmental Artificial Intelligence Infrastructure5 min read

January 10, 2023

In a collaborative effort between the U.S. Department of Energy’s (DOE) Office of Biological and Environmental Research (BER) and DOE’s Advanced Scientific Computing Research (ASCR) program, as well as with community experts, the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop was held from October through December 2021. BER developed the process as the Model-Experiment paradigm, or ModEx, and a report released this fall outlines the key takeaways of last year’s event.

A Q&A With Postdoc Kunxiaoja Yuan3 min read

January 4, 2023

  Kunxiaojia Yuan received her Bachelor’s of Engineering in remote sensing and Ph.D. in geographic information engineering from Wuhan University. She is a postdoctoral researcher in EESA, with a research focus on global carbon, energy, and water cycle analysis and model evaluation using machine learning and causal inference. What motivated you to pursue a postdoc…

  • Our People
    • Area Offices
    • Committees
    • Directors
    • Organizational Charts
    • Postdocs
    • Staff Only
    • Search by Expertise
  • Departments
    • Climate Sciences
    • Ecology
    • Geochemistry
    • Geophysics
    • Hydrogeology
  • Research
    • Climate & Ecosystem Sciences Division
    • Energy Geosciences Division
    • Program Domains
      • Programs
    • Projects
  • Contact
    • 510 486 6455
    • eesawebmaster@lbl.gov
    • Our Identity

Earth and Environmental Sciences Area Logo DOE Earth and Environmental Sciences Area Logo UC

A U.S. Department of Energy National Laboratory Managed by the University of California

Lawrence Berkeley National Laboratory · Earth and Environmental Sciences Area · Privacy & Security Notice