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Predicting resilience through the lens of competing adjustments to vegetation function

Manon E. B. Sabot, Martin G. De Kauwe, Andy J. Pitman, David S. Ellsworth, Belinda E. Medlyn, Silvia Caldararu, Sonke Zaehle, Kristine Crous (UGent) , Teresa E. Gimeno, Agnieszka Wujeska-Klause, et al.
(2022) PLANT CELL AND ENVIRONMENT. 45(9). p.2744-2761
Author
Organization
Abstract
There is a pressing need to better understand ecosystem resilience to droughts and heatwaves. Eco-evolutionary optimization approaches have been proposed as means to build this understanding in land surface models and improve their predictive capability, but competing approaches are yet to be tested together. Here, we coupled approaches that optimize canopy gas exchange and leaf nitrogen investment, respectively, extending both approaches to account for hydraulic impairment. We assessed model predictions using observations from a native Eucalyptus woodland that experienced repeated droughts and heatwaves between 2013 and 2020, whilst exposed to an elevated [CO2] treatment. Our combined approaches improved predictions of transpiration and enhanced the simulated magnitude of the CO2 fertilization effect on gross primary productivity. The competing approaches also worked consistently along axes of change in soil moisture, leaf area, and [CO2]. Despite predictions of a significant percentage loss of hydraulic conductivity due to embolism (PLC) in 2013, 2014, 2016, and 2017 (99th percentile PLC > 45%), simulated hydraulic legacy effects were small and short-lived (2 months). Our analysis suggests that leaf shedding and/or suppressed foliage growth formed a strategy to mitigate drought risk. Accounting for foliage responses to water availability has the potential to improve model predictions of ecosystem resilience.
Keywords
LAND-SURFACE MODEL, LEAF NITROGEN, PHOTOSYNTHETIC CAPACITY, STOMATAL, CONDUCTANCE, EUCALYPTUS WOODLAND, SEMIARID ECOSYSTEMS, FOREST, PRODUCTIVITY, ELEVATED CO2, WATER-USE, DROUGHT, drought, elevated CO2, gas exchange, hydraulic legacies, land surface, models, leaf area index, nitrogen, optimization, plant optimality, vegetation models

Citation

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MLA
Sabot, Manon E. B., et al. “Predicting Resilience through the Lens of Competing Adjustments to Vegetation Function.” PLANT CELL AND ENVIRONMENT, vol. 45, no. 9, 2022, pp. 2744–61, doi:10.1111/pce.14376.
APA
Sabot, M. E. B., De Kauwe, M. G., Pitman, A. J., Ellsworth, D. S., Medlyn, B. E., Caldararu, S., … Yang, J. (2022). Predicting resilience through the lens of competing adjustments to vegetation function. PLANT CELL AND ENVIRONMENT, 45(9), 2744–2761. https://doi.org/10.1111/pce.14376
Chicago author-date
Sabot, Manon E. B., Martin G. De Kauwe, Andy J. Pitman, David S. Ellsworth, Belinda E. Medlyn, Silvia Caldararu, Sonke Zaehle, et al. 2022. “Predicting Resilience through the Lens of Competing Adjustments to Vegetation Function.” PLANT CELL AND ENVIRONMENT 45 (9): 2744–61. https://doi.org/10.1111/pce.14376.
Chicago author-date (all authors)
Sabot, Manon E. B., Martin G. De Kauwe, Andy J. Pitman, David S. Ellsworth, Belinda E. Medlyn, Silvia Caldararu, Sonke Zaehle, Kristine Crous, Teresa E. Gimeno, Agnieszka Wujeska-Klause, Mengyuan Mu, and Jinyan Yang. 2022. “Predicting Resilience through the Lens of Competing Adjustments to Vegetation Function.” PLANT CELL AND ENVIRONMENT 45 (9): 2744–2761. doi:10.1111/pce.14376.
Vancouver
1.
Sabot MEB, De Kauwe MG, Pitman AJ, Ellsworth DS, Medlyn BE, Caldararu S, et al. Predicting resilience through the lens of competing adjustments to vegetation function. PLANT CELL AND ENVIRONMENT. 2022;45(9):2744–61.
IEEE
[1]
M. E. B. Sabot et al., “Predicting resilience through the lens of competing adjustments to vegetation function,” PLANT CELL AND ENVIRONMENT, vol. 45, no. 9, pp. 2744–2761, 2022.
@article{8763663,
  abstract     = {{There is a pressing need to better understand ecosystem resilience to droughts and heatwaves. Eco-evolutionary optimization approaches have been proposed as means to build this understanding in land surface models and improve their predictive capability, but competing approaches are yet to be tested together. Here, we coupled approaches that optimize canopy gas exchange and leaf nitrogen investment, respectively, extending both approaches to account for hydraulic impairment. We assessed model predictions using observations from a native Eucalyptus woodland that experienced repeated droughts and heatwaves between 2013 and 2020, whilst exposed to an elevated [CO2] treatment. Our combined approaches improved predictions of transpiration and enhanced the simulated magnitude of the CO2 fertilization effect on gross primary productivity. The competing approaches also worked consistently along axes of change in soil moisture, leaf area, and [CO2]. Despite predictions of a significant percentage loss of hydraulic conductivity due to embolism (PLC) in 2013, 2014, 2016, and 2017 (99th percentile PLC > 45%), simulated hydraulic legacy effects were small and short-lived (2 months). Our analysis suggests that leaf shedding and/or suppressed foliage growth formed a strategy to mitigate drought risk. Accounting for foliage responses to water availability has the potential to improve model predictions of ecosystem resilience.}},
  author       = {{Sabot, Manon E. B. and De Kauwe, Martin G. and Pitman, Andy J. and Ellsworth, David S. and Medlyn, Belinda E. and Caldararu, Silvia and Zaehle, Sonke and Crous, Kristine and Gimeno, Teresa E. and Wujeska-Klause, Agnieszka and Mu, Mengyuan and Yang, Jinyan}},
  issn         = {{0140-7791}},
  journal      = {{PLANT CELL AND ENVIRONMENT}},
  keywords     = {{LAND-SURFACE MODEL,LEAF NITROGEN,PHOTOSYNTHETIC CAPACITY,STOMATAL,CONDUCTANCE,EUCALYPTUS WOODLAND,SEMIARID ECOSYSTEMS,FOREST,PRODUCTIVITY,ELEVATED CO2,WATER-USE,DROUGHT,drought,elevated CO2,gas exchange,hydraulic legacies,land surface,models,leaf area index,nitrogen,optimization,plant optimality,vegetation models}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{2744--2761}},
  title        = {{Predicting resilience through the lens of competing adjustments to vegetation function}},
  url          = {{http://doi.org/10.1111/pce.14376}},
  volume       = {{45}},
  year         = {{2022}},
}
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