Abstract. Organic matter (OM) degradation in marine sediments is largely controlled by its reactivity and profoundly affects the global carbon cycle. Yet,
there is currently no general framework that can constrain OM reactivity on a global scale. In this study, we propose a reactive continuum model
based on a lognormal distribution (l-RCM), where OM reactivity is fully described by parameters μ (the mean reactivity of the initial OM
bulk mixture) and σ (the variance of OM components around the mean reactivity). We use the l-RCM to inversely determine μ
and σ at 123 sites across the global ocean. The results show that the apparent OM reactivity (〈k〉=μ⋅exp(σ2/2)) decreases with decreasing sedimentation rate (ω) and that OM reactivity is more than 3 orders of magnitude higher
in shelf than in abyssal regions. Despite the general global trends, higher than expected OM reactivity is observed in certain ocean regions
characterized by great water depth or pronounced oxygen minimum zones, such as the eastern–western coastal equatorial Pacific and the Arabian
Sea, emphasizing the complex control of the depositional environment (e.g., OM flux, oxygen content in the water column) on benthic
OM reactivity. Notably, the l-RCM can also highlight the variability in OM reactivity in these regions. Based on inverse modeling results in our
dataset, we establish the significant statistical relationships between 〈k〉 and ω and further map the global OM reactivity
distribution. The novelty of this study lies in its unifying view but also in contributing a new framework that allows predicting OM reactivity in
data-poor areas based on readily available (or more easily obtainable) information. Such a framework is currently lacking and limits our abilities
to constrain OM reactivity in global biogeochemical or Earth system models.
Plenty of studies have shown that tea has an effect of inhibiting gynecologic tumors. However, there still remained controversy of the association between tea and gynecologic tumors in epidemiological studies. In this study, PubMed, Embase, and Cochrane Database were used to search the literature from 1 January 1960 to 26 December 2022 to investigate the association between tea intake and gynecologic cancer risk. In total, 19 cohort studies with 2,020,980 subjects and 12,155 gynecological tumor cases were retrieved. The pooled relative risk (RR) of gynecologic tumor for tea intake was 1.00 (95% CI: 0.96–1.04). RRs were 0.94 (95% CI: 0.88–1.01) for ovarian cancer, 1.02 (95% CI: 0.97–1.07) for endometrial cancer, and 1.06 (95% CI: 0.91–1.23) for cervical cancer. Subgroup analyses were adopted based on the tea type and geographic location. Interestingly, significant preventive impact of non-herbal tea on ovarian cancer (pooled relative risk: 0.67; 95% CI: 0.55–0.81) was found, especially for black tea (pooled relative risk: 0.64; 95% CI: 0.51–0.80). Dose–response analysis indicated that although it is not statistically significant, a decreasing trend of ovarian cancer risk could be observed when the tea consumption was 1.40 to 3.12 cups/day. In conclusion, our findings suggested that ovarian cancer, but not other gynecologic cancers, could possibly be prevented by drinking non-herbal tea. In addition, the preventive impact of green tea on gynecologic cancer seemed to be relatively weak and needs further cohorts to validate it.
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