Rapid response to anthropogenic climate change by Thuja occidentalis: implications for past climate reconstructions and future climate predictions

北美乔柏对人为气候变化的快速响应:对过去气候重建和未来气候预测的启示

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Abstract

Carbon isotope values of leaves (δ(13)C(leaf)) from meta-analyses and growth chamber studies of C(3) plants have been used to propose generalized relationships between δ(13)C(leaf) and climate variables such as mean annual precipitation (MAP), atmospheric concentration of carbon dioxide ([CO(2)]), and other climate variables. These generalized relationships are frequently applied to the fossil record to create paleoclimate reconstructions. Although plant evolution influences biochemistry and response to environmental stress, few studies have assessed species-specific carbon assimilation as it relates to climate outside of a laboratory. We measured δ(13)C(leaf) values and C:N ratios of a wide-ranging evergreen conifer with a long fossil record, Thuja occidentalis (Cupressaceae) collected 1804-2017, in order to maximize potential paleo-applications of our focal species. This high-resolution record represents a natural experiment from pre-Industrial to Industrial times, which spans a range of geologically meaningful [CO(2)] and δ(13)C(atm) values. Δ(leaf) values (carbon isotope discrimination between δ(13)C(atm) and δ(13)C(leaf)) remain constant across climate conditions, indicating limited response to environmental stress. Only δ(13)C(leaf) and δ(13)C(atm) values showed a strong relationship (linear), thus, δ(13)C(leaf) is an excellent record of carbon isotopic changes in the atmosphere during Industrialization. In contrast with previous free-air concentration enrichment experiments, no relationship was found between C:N ratios and increasing [CO(2)]. Simultaneously static C:N ratios and Δ(leaf) in light of increasing CO(2) highlights plants' inability to match rapid climate change with increased carbon assimilation as previously expected; Δ(leaf) values are not reliable tools to reconstruct MAP and [CO(2)], and δ(13)C(leaf) values only decrease with [CO(2)] in line with atmospheric carbon isotope changes.

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