Tropical volcanic eruptions reduce vegetation net carbon uptake on the Qinghai-Tibet Plateau under background climate conditions

Front Plant Sci. 2023 Mar 16:14:1122959. doi: 10.3389/fpls.2023.1122959. eCollection 2023.

Abstract

The vegetation carbon uptake plays an important role in the terrestrial carbon cycle on the Qinghai-Tibet Plateau (QTP), while it is extremely sensitive to the impact of natural external forcings. Until now, there is limited knowledge on the spatial-temporal patterns of vegetation net carbon uptake (VNCU) after the force that caused by tropical volcanic eruptions. Here, we conducted an exhaustive reconstruction of VNCU on the QTP over the last millennium, and used a superposed epoch analysis to characterize the VNCU response of the QTP after the tropical volcanic eruptions. We then further investigated the divergent changes of VNCU response across different elevation gradients and vegetation types, and the impact of teleconnection forcing on VNCU after volcanic eruptions. Within a climatic background, we found that VNCU of the QTP tends to decrease after large volcanic eruptions, lasting until about 3 years, with a maximum decrease value occurring in the following 1 year. The spatial and temporal patterns of the VNCU were mainly driven by the post-eruption climate and moderated by the negative phase trends of El Niño-Southern Oscillation and the Atlantic multidecadal oscillation. In addition, elevation and vegetation types were undeniable driving forces associated with VNCU on QTP. Different water-heat conditions and vegetation types contributed to significant differences in the response and recovery processes of VNCU. Our results emphasized the response and recovery processes of VNCU to volcanic eruptions without the strong anthropogenic forcings, while the influence mechanisms of natural forcing on VNCU should receive more attention.

Keywords: Qinghai–Tibet Plateau; background climate; natural forcing; vegetation net carbon uptake; volcanic eruptions.

Grants and funding

This paper is supported by Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA20030302), Key R & D project of Sichuan Science and Technology Department (Grant No. 2021YFQ0042), the Science and Technology Project of Xizang Autonomous Region (Grant No. XZ201901-GA-07), National Key R&D Program of China (Grant No.2020YFD1100701), Graduate Student Research Innovation Fund of Southwest Petroleum University (Grant No. 2021CXZD24), and Science and Technology Cooperation Project of CNPC-SWPU Innovation Alliance (Grant No. 2020CX020303). The authors are grateful to this support.