Simulating net primary production and soil-surface CO2flux of temperate forests in Northeastern China
Liu Xi, Qingxi Guo, Chuankuan Wang
Abstract
Liu Xi, Qingxi Guo, Chuankuan Wang
Abstract
The Integrated Biosphere Simulator (IBIS) has mainly been applied to simulate carbon and water cycles at large spatio-temporal scales, but has not been localized, validated, and applied in Chinese forests. In this study, we first localized the IBIS to forest regions in Northeastern China, simulated net primary production (NPP) and soil respiration (R S) at stand scales, and validated the simulations with measurements from seven and six representative forest types in this region, respectively. Secondly, we explored spatial patterns of the NPP and R S with the localized model and forest inventory data from 881 sample points and meteorological data from 194 weather stations across the study area. We found that the model simulations of NPP and R S agreed well with the measurements, and the relative error introduced varied with vegetation types and years. The relative difference between simulated and measured values varied from 3.8% to 18.0% for NPP, and from –13% to 16% for R S. The spatial patterns of both NPP and R S showed a significant dependency of the vegetation type, temperature, and precipitation. The study demonstrates that the validated localized IBIS can be applied to simulate spatial and temporal dynamics of NPP and R S in temperate forests at both stand- and regional scales.
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The Integrated Biosphere Simulator (IBIS) has mainly been applied to simulate carbon and water cycles at large spatio-temporal scales, but has not been localized, validated, and applied in Chinese forests. In this study, we first localized the IBIS to forest regions in Northeastern China, simulated net primary production (NPP) and soil respiration (R S) at stand scales, and validated the simulations with measurements from seven and six representative forest types in this region, respectively. Secondly, we explored spatial patterns of the NPP and R S with the localized model and forest inventory data from 881 sample points and meteorological data from 194 weather stations across the study area. We found that the model simulations of NPP and R S agreed well with the measurements, and the relative error introduced varied with vegetation types and years. The relative difference between simulated and measured values varied from 3.8% to 18.0% for NPP, and from –13% to 16% for R S. The spatial patterns of both NPP and R S showed a significant dependency of the vegetation type, temperature, and precipitation. The study demonstrates that the validated localized IBIS can be applied to simulate spatial and temporal dynamics of NPP and R S in temperate forests at both stand- and regional scales.
Key concepts: Primary production, Environmental science, Ibis, Biosphere, Temperate rainforest, Temperate forest, Atmospheric sciences, Precipitation