Work

Seasonal relative humidity recorded in tree-ring earlywood and latewood δ18O in the West Tianmu Mountains, southeastern China

Year: 2024

Type: article

Abstract: The West Tianmu Mountains, situated in the southeastern region of China, is profoundly influenced by the East Asian monsoon. Total ring oxygen isotope (δ 18 O) has been used previously to reconstruct hydroclimatic signals during the growing season in this region, but high-resolution analyses, i.e., at the intra-annual scale, are scarce. Here, we selected four suitable Pinus taiwanensis Hayata tree cores, measured each ring's α-cellulose δ 18 O values in both earlywood and latewood , and established earlywood and latewood δ 18 O cell chronologies from 1951 to 2019, overlapping the period of the observed meteorological data . The mass-weighted mean values of earlywood and latewood δ 18 O cell were calculated to build the total ring δ 18 O cell chronology. The total ring δ 18 O cell chronology is revealed to respond primarily to hydroclimate during the growing season, more specifically relative humidity (RH) during the period May to October. Earlywood δ 18 O cell chronology exhibits the highest correlation with May to June RH, while latewood δ 18 O cell chronology correlates significantly with August to October RH. This observation indicates that the extraction of different seasonal hydroclimatic signals, such as the early or late stages of the growing season, is feasible. Furthermore, we show that tree-ring δ 18 O cell is positively correlated with central and eastern Pacific sea surface temperatures and, accordingly, exhibiting a close connection with El Niño-Southern Oscillation (ENSO). Earlywood δ 18 O cell contains stronger ENSO signals than latewood for two reasons. Firstly, earlywood δ 18 O cell generally retains more precipitation δ 18 O signals, and secondly, May to June precipitation δ 18 O, which is more contained in earlywood than in latewood δ 18 O cell , has stronger connections with ENSO than other months.

Source: Palaeogeography Palaeoclimatology Palaeoecology

DOI: 10.1016/j.palaeo.2024.112551