4.7 Article

Predicting resilience through the lens of competing adjustments to vegetation function

期刊

PLANT CELL AND ENVIRONMENT
卷 45, 期 9, 页码 2744-2761

出版社

WILEY
DOI: 10.1111/pce.14376

关键词

drought; elevated CO2; gas exchange; hydraulic legacies; land surface models; leaf area index; nitrogen; optimization; plant optimality; vegetation models

资金

  1. Australian Research Council [CE170100023, DP190101823, FL190100003]
  2. University of New South Wales
  3. New South Wales Research Attraction and Acceleration Program
  4. Western Sydney University
  5. Eucalypt Australia
  6. Australian Commonwealth government
  7. Australian Research Council [FL190100003] Funding Source: Australian Research Council

向作者/读者索取更多资源

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. In this study, the authors coupled approaches that optimize canopy gas exchange and leaf nitrogen investment, respectively, and extended them to account for hydraulic impairment. They found that their combined approaches improved predictions of transpiration and the simulated CO2 fertilization effect on gross primary productivity. This research highlights the potential for accounting for foliage responses to water availability to improve model predictions of ecosystem resilience.
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.

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