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| 1 | Elevated CO_(2) increases soil redox potential by promoting root radial oxygen loss in paddy field显示文摘Soil redox potential(Eh)plays an important role in the biogeochemical cycling of soil nutrients.Whereas its effect soil process and nutrients'availability under elevated atmospheric CO_(2) concentration and warming has seldom been investigated.Thus,in this study,a field experiment was used to elucidate the effect of elevated CO_(2) concentration and warming on soil Eh,redox-sensitive elements and root radial oxygen loss(ROL).We hypothesized elevated CO_(2) and warming could alter soil Eh by promoting or inhibiting ROL.We found that soil Eh in the rhizosphere was significantly higher than that of non-rhizosphere.Elevated CO_(2) enhanced soil Eh by 11.5%,which corresponded to a significant decrease in soil Fe^(2+)and Mn^(2+)concentration.Under elevated CO_(2),the concentration of Fe^(2+)and Mn^(2+)decreased by 14.7%and 13.7%,respectively.We also found that elevated CO_(2) altered rice root aerenchyma structure and promoted rice root ROL.Under elevated CO_(2),rice root ROL increased by 79.5%and 112.2%for Yangdao 6 and Changyou 5,respectively.Warming had no effect on soil Eh and rice root ROL.While warming increased the concentration of Mn^(2+)and SO_(4)^(2-)by 4.9%and 19.3%,respectively.There was a significant interaction between elevated CO_(2) and warming on Fe^(2+)and Mn^(2+).Under elevated CO_(2),warming had no effect on the concentration of Fe^(2+)but decreased Mn^(2+)concentration significantly.Our study demonstrated that elevated atmospheric CO_(2) in the future could increase soil Eh by promoting rice root ROL,which will alter some soil nutrients'availability,such as Fe^(2+)and Mn^(2+). | Jie Li Han Zhang Wenyi Xie Cheng Liu Xiaoyu Liu Xuhui Zhang Lianqing Li Genxing Pan | 2024 | Journal of Environmental Sciences2024，，2： | 0 |
| 2 | 江苏省农田生态系统固碳时空分布特征与趋势预测显示文摘为探讨江苏省农田生态系统固碳时空分布特征及未来固碳趋势,利用固碳速率法对江苏省2005—2020年农田固碳进行估算,重点分析2005、2010、2015年和2020年时空分布特征,并运用机器学习的方法对2021—2060年全省农田生态系统固碳进行预测。结果表明:在时间序列上,江苏省近年农田生态系统固碳量整体呈现升高的趋势,2020年估算量为282.55万t·a^(-1)(以C计,下同),在全省陆地生态系统固碳总量中占比达20.17%;在空间分布上,固碳贡献最大的是苏北地区,无论是施用肥料还是秸秆还田贡献的固碳量,苏北地区均呈现高于苏中、苏南地区的态势;根据机器学习的重要性分析,秸秆还田量是最为重要的影响因素;两种模型中,BP神经网络相较于随机森林具有更高的预测精度,该模型预测2021—2060年农田生态系统固碳量仍会在短期内持续升高,但随后将进入较稳定的平台期,其中2021—2026年间固碳量将持续升高并达峰值,为365.26万t·a^(-1),而到2060年固碳量则为348.12万t·a^(-1)。研究表明,江苏省农田生态系统固碳量已逐步提升,但未来增长速率将趋于减缓,有必要进一步强化固碳措施,重点是提升秸秆还田率及其固碳效率,同时现有研究方法也有待于进一步优化,未来应将有机肥施用、绿肥还田、轮作等因素考虑在内,从而实现对农田生态系统固碳更为精准、全面的估算。 | 邱子健 李天玲 申卫收 | 2024 | 农业环境科学学报2024，43，1： | 0 |
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