TY - JOUR
T1 - Improving the representation of roots in terrestrial models
AU - Smithwick, Erica A.H.
AU - Lucash, Melissa S.
AU - McCormack, M. Luke
AU - Sivandran, Gajan
N1 - Funding Information:
The manuscript was conceived during a DOE and NSF -sponsored workshop on root-model dynamics ( DOE NSF DEB 1227828 ). This work was partially supported by a U.S. Department of Energy GREF and from Research Fellowships from the Chinese Academy of Sciences and National Natural Science Foundation of China (NSFC) for Young International Researchers (No. 31350110503 ) to MLM. The authors wish to thank Michael Dietze and Anthony Walker for constructive comments on an earlier version of the manuscript.
PY - 2014/11/10
Y1 - 2014/11/10
N2 - Root biomass, root production and lifespan, and root-mycorrhizal interactions govern soil carbon fluxes and resource uptake and are critical components of terrestrial models. However, limitations in data and confusions over terminology, together with a strong dependence on a small set of conceptual frameworks, have limited the exploration of root function in terrestrial models. We review the key root processes of interest to both field ecologists and modelers including root classification, production, turnover, biomass, resource uptake, and depth distribution to ask (1) what are contemporary approaches for modeling roots in terrestrial models? and (2) can these approaches be improved via recent advancements in field research methods? We isolate several emerging themes that are ready for collaboration among field scientists and modelers: (1) alternatives to size-class based root classifications based on function and the inclusion of fungal symbioses, (2) dynamic root allocation and phenology as a function of root environment, rather than leaf demand alone, (3) improved understanding of the treatment of root turnover in models, including the role of root tissue chemistry on root lifespan, (4) better estimates of root stocks across sites and species to parameterize or validate models, and (5) dynamic interplay among rooting depth, resource availability and resource uptake. Greater attention to model parameterization and structural representation of roots will lead to greater appreciation for belowground processes in terrestrial models and improve estimates of ecosystem resilience to global change drivers.
AB - Root biomass, root production and lifespan, and root-mycorrhizal interactions govern soil carbon fluxes and resource uptake and are critical components of terrestrial models. However, limitations in data and confusions over terminology, together with a strong dependence on a small set of conceptual frameworks, have limited the exploration of root function in terrestrial models. We review the key root processes of interest to both field ecologists and modelers including root classification, production, turnover, biomass, resource uptake, and depth distribution to ask (1) what are contemporary approaches for modeling roots in terrestrial models? and (2) can these approaches be improved via recent advancements in field research methods? We isolate several emerging themes that are ready for collaboration among field scientists and modelers: (1) alternatives to size-class based root classifications based on function and the inclusion of fungal symbioses, (2) dynamic root allocation and phenology as a function of root environment, rather than leaf demand alone, (3) improved understanding of the treatment of root turnover in models, including the role of root tissue chemistry on root lifespan, (4) better estimates of root stocks across sites and species to parameterize or validate models, and (5) dynamic interplay among rooting depth, resource availability and resource uptake. Greater attention to model parameterization and structural representation of roots will lead to greater appreciation for belowground processes in terrestrial models and improve estimates of ecosystem resilience to global change drivers.
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U2 - 10.1016/j.ecolmodel.2014.07.023
DO - 10.1016/j.ecolmodel.2014.07.023
M3 - Review article
AN - SCOPUS:84906686929
SN - 0304-3800
VL - 291
SP - 193
EP - 204
JO - Ecological Modelling
JF - Ecological Modelling
ER -