Affiliation:
1. Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education) Northwest University Xi'an China
2. Institute for Water‐Carbon Cycles and Carbon Neutrality State Key Laboratory of Water Resources Engineering and Management Wuhan University Wuhan China
3. School of Integrative Plant Science Cornell University Ithaca NY USA
4. Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical Garden Chinese Academy of Sciences Guangzhou China
5. Institute of Ecology Jiangsu Key Laboratory of Agricultural Meteorology Nanjing University of Information Science & Technology Nanjing China
6. Department of Biology Sciences Institute of Environment Sciences University of Quebec at Montreal C.P. 8888 Succ. Centre‐Ville Montreal QC Canada
Abstract
AbstractAccurately predicting carbon‐climate feedbacks relies on understanding the environmental factors regulating soil organic carbon (SOC) storage and dynamics. Here, we employed a microbial ecological model (MEND), driven by downscaled output data from six Earth system models under two Shared Socio‐economic Pathways (SSP1‐2.6 and SSP5‐8.5) scenarios, to simulate long‐term soil biogeochemical processes. We aim to analyze the responses of soil microbial and carbon‐nitrogen (C‐N) processes to changes in environmental factors, including litter input (L), soil moisture (W) and temperature (T), and soil pH, in a broadleaf forest (BF) and a pine forest (PF). For the entire soil layer in both forests, we found that, compared to the baseline period of 2009–2020, the mean SOC during 2081–2100 increased by 40.9%–90.6% under the L or T change scenarios, versus 5.2%–31.0% under the W change scenario. However, soil moisture emerged as a key regulator of SOC, MBC and inorganic N dynamics in the topsoil of BF and PF. For example, W change led to SOC gain of 5.5%–37.2%, compared to the SOC loss of 15.5%–18.0% under L or T scenario. Additionally, a further reduction in soil pH by 0.2 units in the BF, representing the acid rain effect, significantly resulted in an additional SOC gain by 14.2%–21.3%, compared to the LTW (simultaneous changes in the three factors) scenario. These results indicate that the results derived solely from topsoil may not be extrapolated to the entire soil profile. Overall, this study significantly advances our comprehension of how different environmental factors impact the dynamics of SOC and the implications they have for climate change.
Funder
National Natural Science Foundation of China
Chinese Academy of Sciences
Publisher
American Geophysical Union (AGU)