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Land surface conductance linked to precipitation: Co‐evolution of vegetation and climate in Earth system models.

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Title: Land surface conductance linked to precipitation: Co‐evolution of vegetation and climate in Earth system models.
Authors: Franks, Peter J.1 (AUTHOR) peter.franks@sydney.edu.au, Herold, Nicholas1 (AUTHOR), Bonan, Gordon B.2 (AUTHOR), Oleson, Keith W.2 (AUTHOR), Dukes, Jeffrey S.3 (AUTHOR), Huber, Matthew4 (AUTHOR), Schroeder, Julian I.5 (AUTHOR), Cox, Peter M.6 (AUTHOR), Jones, Simon6 (AUTHOR)
Source: Global Change Biology. Mar2024, Vol. 30 Issue 3, p1-15. 15p.
Subjects: Atmospheric models, Coevolution, Heat waves (Meteorology), Water vapor, Climate change, Throughfall
Geographic Terms: Middle East, North Africa, Sub-Saharan Africa
Abstract: Vegetation and precipitation are known to fundamentally influence each other. However, this interdependence is not fully represented in climate models because the characteristics of land surface (canopy) conductance to water vapor and CO2 are determined independently of precipitation. Working within a coupled atmosphere and land modelling framework (CAM6/CLM5; coupled Community Atmosphere Model v6/Community Land Model v5), we have developed a new theoretical approach to characterizing land surface conductance by explicitly linking its dynamic properties to local precipitation, a robust proxy for moisture available to vegetation. This will enable regional surface conductance characteristics to shift fluidly with climate change in simulations, consistent with general principles of co‐evolution of vegetation and climate. Testing within the CAM6/CLM5 framework shows that climate simulations incorporating the new theory outperform current default configurations across several error metrics for core output variables when measured against observational data. In climate simulations for the end of this century the new, adaptive stomatal conductance scheme provides a revised prognosis for average and extreme temperatures over several large regions, with increased primary productivity through central and east Asia, and higher rainfall through North Africa and the Middle East. The new projections also reveal more frequent heatwaves than originally estimated for the south‐eastern US and sub‐Saharan Africa but less frequent heatwaves across east Europe and northeast Asia. These developments have implications for evaluating food security and risks from extreme temperatures in areas that are vulnerable to climate change. [ABSTRACT FROM AUTHOR]
Copyright of Global Change Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 176275200
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Land surface conductance linked to precipitation: Co‐evolution of vegetation and climate in Earth system models.
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  Data: <searchLink fieldCode="AR" term="%22Franks%2C+Peter+J%2E%22">Franks, Peter J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> peter.franks@sydney.edu.au</i><br /><searchLink fieldCode="AR" term="%22Herold%2C+Nicholas%22">Herold, Nicholas</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bonan%2C+Gordon+B%2E%22">Bonan, Gordon B.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oleson%2C+Keith+W%2E%22">Oleson, Keith W.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dukes%2C+Jeffrey+S%2E%22">Dukes, Jeffrey S.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huber%2C+Matthew%22">Huber, Matthew</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schroeder%2C+Julian+I%2E%22">Schroeder, Julian I.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cox%2C+Peter+M%2E%22">Cox, Peter M.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jones%2C+Simon%22">Jones, Simon</searchLink><relatesTo>6</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Global+Change+Biology%22">Global Change Biology</searchLink>. Mar2024, Vol. 30 Issue 3, p1-15. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Atmospheric+models%22">Atmospheric models</searchLink><br /><searchLink fieldCode="DE" term="%22Coevolution%22">Coevolution</searchLink><br /><searchLink fieldCode="DE" term="%22Heat+waves+%28Meteorology%29%22">Heat waves (Meteorology)</searchLink><br /><searchLink fieldCode="DE" term="%22Water+vapor%22">Water vapor</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Throughfall%22">Throughfall</searchLink>
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Vegetation and precipitation are known to fundamentally influence each other. However, this interdependence is not fully represented in climate models because the characteristics of land surface (canopy) conductance to water vapor and CO2 are determined independently of precipitation. Working within a coupled atmosphere and land modelling framework (CAM6/CLM5; coupled Community Atmosphere Model v6/Community Land Model v5), we have developed a new theoretical approach to characterizing land surface conductance by explicitly linking its dynamic properties to local precipitation, a robust proxy for moisture available to vegetation. This will enable regional surface conductance characteristics to shift fluidly with climate change in simulations, consistent with general principles of co‐evolution of vegetation and climate. Testing within the CAM6/CLM5 framework shows that climate simulations incorporating the new theory outperform current default configurations across several error metrics for core output variables when measured against observational data. In climate simulations for the end of this century the new, adaptive stomatal conductance scheme provides a revised prognosis for average and extreme temperatures over several large regions, with increased primary productivity through central and east Asia, and higher rainfall through North Africa and the Middle East. The new projections also reveal more frequent heatwaves than originally estimated for the south‐eastern US and sub‐Saharan Africa but less frequent heatwaves across east Europe and northeast Asia. These developments have implications for evaluating food security and risks from extreme temperatures in areas that are vulnerable to climate change. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Global Change Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/gcb.17188
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1
    Subjects:
      – SubjectFull: Atmospheric models
        Type: general
      – SubjectFull: Coevolution
        Type: general
      – SubjectFull: Heat waves (Meteorology)
        Type: general
      – SubjectFull: Water vapor
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      – SubjectFull: Climate change
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      – SubjectFull: Throughfall
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      – SubjectFull: Middle East
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      – SubjectFull: North Africa
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      – SubjectFull: Sub-Saharan Africa
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              Text: Mar2024
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              Y: 2024
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