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. 2015 Mar 13:5:9115.
doi: 10.1038/srep09115.

Asymmetric warming significantly affects net primary production, but not ecosystem carbon balances of forest and grassland ecosystems in northern China

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Asymmetric warming significantly affects net primary production, but not ecosystem carbon balances of forest and grassland ecosystems in northern China

Hongxin Su et al. Sci Rep. .

Abstract

We combine the process-based ecosystem model (Biome-BGC) with climate change-scenarios based on both RegCM3 model outputs and historic observed trends to quantify differential effects of symmetric and asymmetric warming on ecosystem net primary productivity (NPP), heterotrophic respiration (Rh) and net ecosystem productivity (NEP) of six ecosystem types representing different climatic zones of northern China. Analysis of covariance shows that NPP is significant greater at most ecosystems under the various environmental change scenarios once temperature asymmetries are taken into consideration. However, these differences do not lead to significant differences in NEP, which indicates that asymmetry in climate change does not result in significant alterations of the overall carbon balance in the dominating forest or grassland ecosystems. Overall, NPP, Rh and NEP are regulated by highly interrelated effects of increases in temperature and atmospheric CO2 concentrations and precipitation changes, while the magnitude of these effects strongly varies across the six sites. Further studies underpinned by suitable experiments are nonetheless required to further improve the performance of ecosystem models and confirm the validity of these model predictions. This is crucial for a sound understanding of the mechanisms controlling the variability in asymmetric warming effects on ecosystem structure and functioning.

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Figures

Figure 1
Figure 1. Net primary productivity (NPP) response to the various temperature treatments under four environmental change scenarios, including the control, changes in precipitation amount (Pcha), gradual increases in concentrations of atmospheric CO2 (Cinc) and their combinations (Pcha × Cinc).
Data are means ± standard error, differences letters bars indicate significant (p < 0.05) differences between means. (BCF: Boreal coniferous forest; TMF: Temperate mixed forest; DBF: Warm-temperate deciduous broadleaf forest; MStp: Meadow steppe; TStp: Typical steppe; DStp: Desert steppe)
Figure 2
Figure 2. Heterotrophic respiration (Rh) response to the various temperature treatments under four environmental change scenarios, including the control, changes in precipitation amount (Pcha), gradual increases in concentrations of atmospheric CO2 (Cinc) and their combinations (Pcha × Cinc).
Data are means ± standard error, differences letters bars indicate significant (p < 0.05) differences between means. (BCF: Boreal coniferous forest; TMF: Temperate mixed forest; DBF: Warm-temperate deciduous broadleaf forest; MStp: Meadow steppe; TStp: Typical steppe; DStp: Desert steppe)
Figure 3
Figure 3. Net ecosystem production (NEP) response to the various temperature treatments under four environmental change scenarios, including the control, changes in precipitation amount (Pcha), gradual increases in concentrations of atmospheric CO2 (Cinc) and their combinations (Pcha × Cinc).
Data are means ± standard error. (BCF: Boreal coniferous forest; TMF: Temperate mixed forest; DBF: Warm-temperate deciduous broadleaf forest; MStp: Meadow steppe; TStp: Typical steppe; DStp: Desert steppe).

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