Open AccessNitrogen cycle impacts on CO2 fertilisation and climate forcing of land carbon stores
Author(s) -
Chris Huntingford,
Eleanor Burke,
Chris D. Jones,
Elisabeth Jeffers,
Andrew J. Wiltshire
Publication year - 2022
Publication title -
environmental research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.37
H-Index - 124
ISSN - 1748-9326
DOI - 10.1088/1748-9326/ac6148
Subject(s) - environmental science , carbon cycle , biogeochemical cycle , greenhouse gas , soil carbon , climate change , vegetation (pathology) , atmospheric carbon cycle , land use, land use change and forestry , atmospheric sciences , nitrogen cycle , carbon sequestration , carbon fibers , carbon dioxide , land use , nitrogen , ecology , soil water , ecosystem , soil science , chemistry , geology , biology , medicine , materials science , organic chemistry , pathology , composite number , composite material
Anthropogenic fossil fuel burning increases atmospheric carbon dioxide (CO 2 ) concentration, which is adjusting the climate system. The direct impact of rising CO 2 levels and climate feedback alters the terrestrial carbon stores. Land stores are presently increasing, offsetting a substantial fraction of CO 2 emissions. Less understood is how this human-induced carbon cycle perturbation interacts with other terrestrial biogeochemical cycles. These connections require quantification, as they may eventually suppress land fertilisation, and so fewer emissions are allowed to follow any prescribed future global warming pathway. Using the new Joint UK Land Environment Simulator-CN large-scale land model, which contributed to Coupled Model Intercomparison Project Phase 6 as the land component of the UK Earth System Model v1 climate model, we focus on how the introduction of the simulated terrestrial nitrogen (N) cycle modulates the expected evolution of vegetation and soil carbon pools. We find that the N-cycle suppresses, by approximately one-third, any future gains by the global soil pool when compared to calculations without that cycle. There is also a decrease in the vegetation carbon gain, although this is much smaller. Factorial simulations illustrate that N suppression tracks direct CO 2 rise rather than climate change. The finding that this CO 2 -related effect predominantly influences soil carbon rather than vegetation carbon, we explain by different balances between changing carbon uptake levels and residence times. Finally, we discuss how this new generation of land models may gain further from emerging point knowledge held by the detailed ecological modelling community.