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Urgent need to improve modelled sensitivity of evaporation to vegetation change

Earth system model projections of vegetation–climate feedback frequently depend on inaccurate values of evaporation sensitivity to vegetation changes, potentially resulting in misleading conclusions. A promising avenue involves improving the transpiration partitioning parameterizations and incorporating groundwater connections to refine the modelled sensitivity.

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Fig. 1: Disparities in climate responses to idealized deforestation within the deforest-glob experiment of LUMIP.
Fig. 2: Schematic diagram highlighting problems in transpiration partitioning in Earth system models.

Data availability

The CMIP6 model outputs are available from the CMIP6 archive (https://esgf-node.llnl.gov/search/cmip6/). The GLEAM data is available at https://www.gleam.eu/.

References

  1. Intergovernmental Panel on Climate Change Climate Change and Land: an IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems (eds Shukla, P. R. et al.) (IPCC, 2019).

  2. Bonan, G. B. Science 320, 1444–1449 (2008).

    Article  CAS  PubMed  Google Scholar 

  3. Yang, Y. et al. Nat. Rev. Earth Environ. 4, 626–641 (2023).

    Article  Google Scholar 

  4. Zeng, Z. et al. Nat. Clim. Change 7, 432–436 (2017).

    Article  Google Scholar 

  5. Duveiller, G. et al. Earth Syst. Sci. Data 10, 1265–1279 (2018).

    Article  Google Scholar 

  6. Zeng, Z. et al. J. Clim. 31, 2633–2650 (2018).

    Article  Google Scholar 

  7. Alkama, R. & Cescatti, A. Science 351, 600–604 (2016).

    Article  CAS  PubMed  Google Scholar 

  8. Lawrence, D. M. et al. Geosci. Model Dev. 9, 2973–2998 (2016).

    Article  Google Scholar 

  9. Lian, X. et al. Nat. Clim. Change 8, 640–646 (2018).

    Article  Google Scholar 

  10. Good, S. P., Noone, D. & Bowen, G. Science 349, 175–177 (2015).

    Article  CAS  PubMed  Google Scholar 

  11. Martens, B. et al. Geosci. Model. Dev. 10, 1903–1925 (2017).

    Article  Google Scholar 

  12. Luo, X. et al. J. Geophys. Res. Biogeosci. 123, 207–225 (2018).

    Article  Google Scholar 

  13. Condon, L. E., Atchley, A. L. & Maxwell, R. M. Nat. Commun. 11, 873 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Maxwell, R. M. & Condon, L. E. Science 353, 377–380 (2016).

    Article  CAS  PubMed  Google Scholar 

  15. Dai, Y. et al. Soil 5, 137–158 (2019).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This study was supported by the National Natural Science Foundation of China (42371026 and 42071022) and by the start-up fund provided by the Southern University of Science and Technology (29/Y01296602, 29/Y01296122 and 29/Y01296222).

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Correspondence to Zhenzhong Zeng.

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Nature Water thanks the anonymous reviewers for their contribution to the peer review of this work.

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Wang, D., Zeng, Z. Urgent need to improve modelled sensitivity of evaporation to vegetation change. Nat Water 2, 211–214 (2024). https://doi.org/10.1038/s44221-024-00203-y

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