A Processes‐Based Dynamic Root Growth Model Integrated Into the Ecosystem Model. (25th December 2019)

• Record Type: Journal Article
• Authors: Lu, Haibo; Yuan, Wenping; Chen, Xiuzhi
• Is Part Of: Journal of advances in modeling earth systems. Volume 11:Number 12(2019)
• Page Start: 4614
• Page End: 4628
• Publication Date: 2019-12-25
• Subjects: dynamic root model -- root distribution -- climate change -- carbon cycling; Geological modeling -- Periodicals; Climatology -- Periodicals; Geochemical modeling -- Periodicals; 551.5011
• DOI: 10.1029/2019MS001846
• Languages: English
• ISSNs: 1942-2466

Abstract

Abstract: Plant roots play a critical role in regulating the uptake of soil water and nutrients. Shifts in root growth and biomass distribution resulting from climate change can impact ecosystem water and carbon cycling. Such interactions between root growth and ecosystem functioning have not been integrated into current terrestrial ecosystem models. Here a three‐dimensional dynamic root model (DyRoot) was developed and implemented into the Integrated Biosphere Simulator (IBIS) ecosystem model for simulating root growth, architecture (i.e., fine and coarse roots), and distribution driven by soil water and nitrogen availabilities. Field root biomass observations were used for model calibration and validation. Results showed that DyRoot was able to simulate the root biomass distribution across five forest ecosystem types with good performance ( R 2 = 0.79, P < 0.01). The validations of root distribution in three forest chronosequences suggested that DyRoot captured the changes in rooting depth with the increase in stand age. The sensitivity of simulated root distribution to soil water availability was compared against root biomass observations from two precipitation reduction experiments. Results indicated that DyRoot reasonably represented the decrease of root biomass in topsoil layers in response to the deficits of soil moisture simulated by (IBIS). The DyRoot model algorithm in this study has great implications for representing an optimized root distribution in ecosystem models, which can improve model performance by simulating the feedbacks of root evolution in response to climate change. Furthermore, allowing explicit root architecture in the DyRoot model also sheds light on depicting the responses of root traits to environmental changes. Key Points: Current ecosystem models adopted a static root distribution profile, which results in the absent responses of roots to environmental change A dynamic root model (DyRoot) was developed for simulating root growth and distribution driven by soil water and nitrogen availabilities The DyRoot model has great implications for representing an optimized root distribution in terrestrial ecosystem models