title: The role of residence time in diagnostic models of global carbon storage capacity: model decomposition based on a traceable scheme.
abstract: As a key factor that determines carbon storage capacity, residence time (τE) is not well constrained in terrestrial biosphere models. This factor is recognized as an important source of model uncertainty. In this study, to understand how τE influences terrestrial carbon storage prediction in diagnostic models, we introduced a model decomposition scheme in the Boreal Ecosystem Productivity Simulator (BEPS) and then compared it with a prognostic model. The result showed that τE ranged from 32.7 to 158.2 years. The baseline residence time (τ'E) was stable for each biome, ranging from 12 to 53.7 years for forest biomes and 4.2 to 5.3 years for non-forest biomes. The spatiotemporal variations in τE were mainly determined by the environmental scalar (ξ). By comparing models, we found that the BEPS uses a more detailed pool construction but rougher parameterization for carbon allocation and decomposition. With respect to ξ comparison, the global difference in the temperature scalar (ξt) averaged 0.045, whereas the moisture scalar (ξw) had a much larger variation, with an average of 0.312. We propose that further evaluations and improvements in τ'E and ξw predictions are essential to reduce the uncertainties in predicting carbon storage by the BEPS and similar diagnostic models.
authors.affiliation: School of Life Science, Nanjing University, Nanjing, P.R. China.
authors.forename: Chen
authors.initials: C
authors.lastname: Yizhao
authors.affiliation: Department of Microbiology and Plant Biology, University of Oklahoma, OK, USA.|School of Ecological and Environmental Sciences, East China Normal University, Shanghai, P.R. China.|Tiantong National Forest Ecosystem Observation and Research Station,School of Ecological and Environmental Sciences, East China Normal University, Shanghai, P.R. China.
authors.forename: Xia
authors.initials: X
authors.lastname: Jianyang
authors.affiliation: School of Life Science, Nanjing University, Nanjing, P.R. China.|College of Prataculture Science, Nanjing Agriculture University, Nanjing, P.R. China.
authors.forename: Sun
authors.initials: S
authors.lastname: Zhengguo
authors.affiliation: School of Life Science, Nanjing University, Nanjing, P.R. China.
authors.forename: Li
authors.initials: L
authors.lastname: Jianlong
authors.affiliation: Department of Microbiology and Plant Biology, University of Oklahoma, OK, USA.
authors.forename: Luo
authors.initials: L
authors.lastname: Yiqi
authors.affiliation: School of Life Science, Nanjing University, Nanjing, P.R. China.|Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi, China.|Institute of Soil and Water Conservation, Chinese Academy of Science and Ministry of Water Resources, Yangling, Shaanxi, China.
authors.forename: Gang
authors.initials: G
authors.lastname: Chengcheng
authors.affiliation: School of Life Science, Nanjing University, Nanjing, P.R. China.
authors.forename: Wang
authors.initials: W
authors.lastname: Zhaoqi
mesh_terms: D002244:Carbon / Q000737:chemistry*; D002980:Climate; D017753:Ecosystem; D065928:Forests; D017752:Greenhouse Effect; D008962:Models, Theoretical; D035501:Uncertainty
chemical_list: D002244:Carbon