Differences in Drivers of Agricultural Wetland Soils Carbon Emissions under Contrasting Light Conditions

doi:10.16258/j.cnki.1674-5906.2025.03.006

Ecology and Environment ›› 2025, Vol. 34 ›› Issue (3): 391-400.DOI: 10.16258/j.cnki.1674-5906.2025.03.006

• Papers on Carbon Cycling and Carbon Emission Reduction • Previous Articles Next Articles

Differences in Drivers of Agricultural Wetland Soils Carbon Emissions under Contrasting Light Conditions

HE Youwen¹(), HAN Yafeng¹^,²^,^*(), WANG Xugang¹^,³, SUN Lirong¹^,^*(), XING Jiangbing¹, CAO Shengyuan¹

1. College of Agriculture, Henan University of Science and Technology, Luoyang 471000, P. R. China
2. Luoyang Key Laboratory of Plant Nutrition and Environmental Ecology, Luoyang 471000, P. R. China
3. Luoyang Key Laboratory of Symbiotic Microbes and Green Development, Luoyang 471000, P. R. China

Received:2024-09-04 Online:2025-03-18 Published:2025-03-24

不同光照条件下农田湿地土壤碳排放的驱动因子差异

贺宥文¹(), 韩亚峰¹^,²^,^*(), 王旭刚¹^,³, 孙丽蓉¹^,^*(), 邢江冰¹, 曹晟源¹

1.河南科技大学农学院，河南洛阳 471000
2.洛阳市植物营养与环境生态重点实验室，河南洛阳 471000
3.洛阳市共生微生物与绿色发展重点实验室，河南洛阳 471000

通讯作者: *孙丽蓉。E-mail: slr1206@126.com; 韩亚峰。E-mail: yfhan@haust.edu.cn
作者简介:贺宥文（1999年生），男，硕士研究生，研究方向为土壤化学。E-mail: 2993792084@qq.com
基金资助:
国家自然科学基金项目(41601309);国家自然科学基金项目(U1904121)

Abstract

Abstract:

The increase in carbon sinks and reduction in carbon emissions from wetlands are crucial focal points for expediting the attainment of Dual Carbon Goals. Light is closely related to biotic and abiotic processes, such as wetland mineral redox and microbial community transformation. However, the response characteristics and mechanisms of carbon emission from wetlands to light remain unclear. Therefore, an indoor experiment was conducted under submerged anaerobic incubation at a constant temperature in an agricultural wetland with and without light. The impact of light on carbon emissions from agricultural wetland soils was investigated in the Middle and Lower Reaches of the Yellow River and the Fe(Ⅱ) and dissolved organic carbon (DOC) contents, as well as the chemical structure of DOC, were measured by combining ultraviolet and three-dimensional fluorescence spectra. The findings revealed that cumulative soil carbon emissions ranged from 99.11 to 713.39 mg·kg⁻¹ under dark conditions, which was significantly higher than that observed under light conditions (from 17.52 to 27.20 mg·kg⁻¹). Correlation analysis revealed that cumulative soil carbon emissions exhibited a significantly positive correlation with DOC content, E₂/E₃ value and 0.5 mol·L⁻¹ hydrocholic acid leachable Fe(Ⅱ) content in the dark treatment, all of which showed an initial increase followed by stabilization. This indicated that microbial availability of active carbon and microbial dissimilatory iron reduction in the dark treatment dominated the carbon emissions. A positive correlation was observed between the carbon emission and the content of 0.5 mol·L⁻¹ hydrocholic acid-extractable Fe(Ⅱ) under light conditions, which initially increased and then decreased. This result demonstrates that light can inhibit soil carbon emissions by promoting Fe(Ⅱ) reoxidation. This study provides a theoretical basis and data to clarify the mechanism of the carbon cycle and potential for carbon sequestration in agricultural wetland soils in the Middle and Lower Reaches of the Yellow River.

Key words: agricultural wetland, carbon emission, light, dissimilatory iron reduction, dissolved organic carbon

摘要：

湿地碳库增汇减排是加快实现“双碳”目标的重要着力点之一。光照与湿地矿物氧化还原、微生物群落特征转变等生物或非生物过程密切相关，然而目前关于湿地土壤碳排放对光照的响应特征及作用机理尚存争议。以黄河中下游农田湿地土壤为研究对象，进行室内恒温淹水厌氧培养试验，设置光照和避光处理，通过定量土壤碳累积排放量、Fe(Ⅱ)和可溶性有机碳（DOC）质量分数，结合紫外-可见吸收光谱和三维荧光光谱定性DOC化学结构特征，探索光照对黄河中下游农田湿地土壤碳排放的影响。结果表明，避光条件下土壤累积碳排放量（以碳计）介于99.11－713.39 mg·kg⁻¹，显著高于光照条件下的17.52－27.20 mg·kg⁻¹。相关分析显示，土壤累积碳排放量在避光下与DOC质量分数、E₂/E₃和0.5 mol·L⁻¹盐酸可浸提态Fe(Ⅱ)质量分数呈显著正相关，均呈先增加后稳定的趋势，表明避光下活性碳组分的微生物可利用性和微生物异化铁还原作用主导了黄河中下游农田湿地碳排放；在光照下，则与0.5 mol·L⁻¹盐酸可浸提态Fe(Ⅱ)质量分数呈先增加后减少的再氧化趋势，且与土壤碳排放量显著正相关，表明光照可通过促进亚铁再氧化过程抑制土壤碳排放。研究结果可为深入解析黄河中下游农田湿地碳循环机制和固碳潜力提供理论依据和数据支撑。

关键词: 农田湿地, 碳排放, 光照, 异化铁还原, 可溶性有机碳

CLC Number:

HE Youwen, HAN Yafeng, WANG Xugang, SUN Lirong, XING Jiangbing, CAO Shengyuan. Differences in Drivers of Agricultural Wetland Soils Carbon Emissions under Contrasting Light Conditions[J]. Ecology and Environment, 2025, 34(3): 391-400.

贺宥文, 韩亚峰, 王旭刚, 孙丽蓉, 邢江冰, 曹晟源. 不同光照条件下农田湿地土壤碳排放的驱动因子差异[J]. 生态环境学报, 2025, 34(3): 391-400.

Figures/Tables 7

Table 1 Basic facts of sampling points and physicochemical properties of soil

采样点	土壤代号	气候	年均气温/ ℃	年降水量/ mm	可溶性有机碳质量分数/(mg·kg⁻¹)	有机碳质量分数/ (g·kg⁻¹)	游离铁质量分数/ (g·kg⁻¹)	无定形铁质量分数/ (g·kg⁻¹)
宁夏回族自治区灵武市	NX	大陆性气候	8.9	193	382.50±13.38b	7.14±0.13d	11.90±0.17c	1.91±0.04b
山西省沂州市	SX	大陆性季风气候	8.5	495	485.27±72.64a	17.28±0.59a	8.14±0.06e	2.00±0.03a
河南省洛阳市	HL	大陆性季风气候	13.8	657	481.40±20.17a	12.73±0.38b	9.21±0.15d	0.88±0.02e
河南省开封市	HK	大陆性季风气候	16.0	458	362.57±33.44b	7.72±0.14d	12.78±0.13b	1.19±0.06d
山东省东营市	SD	大陆性季风气候	12.1	556	546.97±35.25a	11.56±0.38c	13.12±0.14a	1.43±0.01c

Table 2 Description of spectral parameters

光谱参数		定义	相关描述	参考文献
紫外参数	吸收系数α_λ	α_λ $=2.303$ A_λ/L，A_λ为吸光度，L为光路长度（m⁻¹）	表征有色溶解有机质浓度	万丹等,2022
	E₂/E₃	紫外-可见光谱在250和365 nm处吸收系数的比值	表征DOC的分子量大小	Li et al.,2014
	SUVA₂₅₄	单位DOC浓度在波长254 nm处的吸收系数（L·mg⁻¹·m⁻¹）	表征DOC的芳香性	Li et al.,2019
	SUVA₂₆₀	单位DOC浓度在波长260 nm处的吸收系数（L·mg⁻¹·m⁻¹）	表征DOC疏水性组分含量	万丹等,2022
荧光参数	荧光指数（FI）	激发波长为370 nm 时，发射波长在470 nm和 520 nm处荧光强度比值	表征DOC中腐殖质来源	Hansen et al.,2016
	腐殖化指数（HIX）	激发波长为254 nm时，发射波长在435‒480 nm间区域积分值除以300‒345 nm间区域积分值	表征DOC腐殖化程度	Nkansah et al.,2015
	自生源指数（BIX）	激发波长为310 nm时，发射波长在380 nm和 430 nm处荧光强度比值	表征DOC自生源相对贡献	Huguet et al.,2009

Table 2 Description of spectral parameters

光谱参数		定义	相关描述	参考文献
紫外参数	吸收系数α_λ	α_λ $=2.303$ A_λ/L，A_λ为吸光度，L为光路长度（m⁻¹）	表征有色溶解有机质浓度	万丹等,2022
	E₂/E₃	紫外-可见光谱在250和365 nm处吸收系数的比值	表征DOC的分子量大小	Li et al.,2014
	SUVA₂₅₄	单位DOC浓度在波长254 nm处的吸收系数（L·mg⁻¹·m⁻¹）	表征DOC的芳香性	Li et al.,2019
	SUVA₂₆₀	单位DOC浓度在波长260 nm处的吸收系数（L·mg⁻¹·m⁻¹）	表征DOC疏水性组分含量	万丹等,2022
荧光参数	荧光指数（FI）	激发波长为370 nm 时，发射波长在470 nm和 520 nm处荧光强度比值	表征DOC中腐殖质来源	Hansen et al.,2016
	腐殖化指数（HIX）	激发波长为254 nm时，发射波长在435‒480 nm间区域积分值除以300‒345 nm间区域积分值	表征DOC腐殖化程度	Nkansah et al.,2015
	自生源指数（BIX）	激发波长为310 nm时，发射波长在380 nm和 430 nm处荧光强度比值	表征DOC自生源相对贡献	Huguet et al.,2009

Figure 1 Mass fraction of 0.5 mol·L?1 HCl extractable Fe(Ⅱ) under anaerobic incubation in darkness or in light treatments

Figure 2 Mass fraction of DOC, free iron and amorphous iron under anaerobic incubation in darkness or in light treatments

Figure 3 Value of spectral eigenvalues under anaerobic incubation in darkness or in light treatments

Figure 4 Mass fraction of cumulative carbon emissions under anaerobic incubation in darkness or in light treatments

Figure 5 Correlation matrix between content of cumulative carbon emissions and each parameter index in darkness or in light treatments

References 55

[1]	AMSTAETTER K, BORCH T, KAPPLER A, 2012. Influence of humic acid imposed changes of ferrihydrite aggregation on microbial Fe(III) reduction[J]. Geochimica et Cosmochimica Acta, 85: 326-341.
[2]	BULLOCK A, ACREMAN M, 2003. The role of wetlands in the hydrological cycle[J]. Hydrology and Earth System Sciences, 7(3): 358-389.
[3]	CAO Q, WANG H, ZHANG Y, et al., 2017. Factors affecting distribution patterns of organic carbon in sediments at regional and national scales in China[J]. Scientific Reports, 7(1): 5497. DOI PMID
[4]	CHEN C M, KUKKADAPU R K, LAZAREVA O, et al., 2017. Solid-Phase Fe speciation along the vertical redox gradients in floodplains using XAS and Mossbauer spectroscopies[J]. Environmental Science and Technology, 51(14): 7903-7912.
[5]	DIFFENBAUGH N S, FIELD C B, 2013. Changes in ecologically critical terrestrial climate conditions[J]. Science, 341(6145): 486-492. DOI PMID
[6]	HAN Y F, QU C C, HU X P, et al., 2022. Warming and humidification mediated changes of DOM composition in an Alfisol[J]. Science of the Total Environment, 805: 150198.
[7]	HAN Y F, QU C C, HU X P, et al., 2024. Responses of various organic carbon pools to elevated temperatures in soils[J]. Science of the Total Environment, 955: 176836.
[8]	HANSEN A M, KRAUS T E C, PELLERIN B A, et al., 2016. Optical properties of dissolved organic matter (DOM): Effects of biological and photolytic degradation[J]. Limnology and Oceanography, 61(3): 1015-1032.
[9]	HU S J, NIU Z G, CHEN Y F, et al., 2017. Global wetlands: Potential distribution, wetland loss, and status[J]. Science of the Total Environment, 586: 319-327.
[10]	HUANG W J, HALL S J, 2017. Elevated moisture stimulates carbon loss from mineral soils by releasing protected organic matter[J]. Nat Commun, 8(1): 1774. DOI PMID
[11]	HUGUET A, VACHER L, RELEXANS S, et al., 2009. Properties of fluorescent dissolved organic matter in the Gironde Estuary[J]. Organic Geochemistry, 40(6): 706-719.
[12]	KAJAN K, OSTERHOLZ H, STEGEN J, et al., 2023. Mechanisms shaping dissolved organic matter and microbial community in lake ecosystems[J]. Water Research, 245: 120653.
[13]	KAPPLER A, BRYCE C, MANSOR M, et al., 2021. An evolving view on biogeochemical cycling of iron[J]. Nature Reviews. Microbiology, 19(6): 360-374. DOI PMID
[14]	KELLER J K, 2011. Wetlands and the global carbon cycle: What might the simulated past tell us about the future?[J]. New Phytologist, 192(4): 789-792. DOI PMID
[15]	LAUFER K, NORDHOFF M, RØY H, et al., 2016. Coexistence of microaerophilic, nitrate-reducing, and phototrophic Fe(II) oxidizers and Fe(III) reducers in coastal marine sediment[J]. Applied and Environmental Microbiology, 82(5): 1433-1447.
[16]	LAVONEN E E, KOTHAWALA D N, TRANVIK L J, et al., 2015. Tracking changes in the optical properties and molecular composition of dissolved organic matter during drinking water production[J]. Water Research (Oxford), 85: 286-294.
[17]	LI D, HE X S, XI B D, et al., 2014. Study on UV-Visible spectra characteristic of dissolved organic matter during municipal solid waste composting[J]. Advanced Materials Research, 878: 840-849.
[18]	LI X M, GUO H M, ZHENG H, et al., 2019. Roles of different molecular weights of dissolved organic matter in arsenic enrichment in groundwater; Evidences from ultrafiltration and EEM-PARAFAC[J]. Applied Geochemistry, 104: 124-134.
[19]	LI X F, HOU L J, LIU M, et al., 2015. Evidence of nitrogen loss from anaerobic ammonium oxidation coupled with ferric iron reduction in an intertidal wetland[J]. Environmental Science and Technology, 49(19): 11560-11568. DOI PMID
[20]	LI X M, ZHANG W, LIU T X, et al., 2016. Changes in the composition and diversity of microbial communities during anaerobic nitrate reduction and Fe(II) oxidation at circumneutral pH in paddy soil[J]. Soil Biology and Biochemistry, 94: 70-79.
[21]	LIMIN H U, YUHAN J I, BIN Z, et al., 2023. The effect of iron on the preservation of organic carbon in marine sediments and its implications for carbon sequestration[J]. Science China (Earth Sciences), 66(9): 1946-1959.
[22]	LIN Q W, WANG S S, LI Y C, et al., 2021. Effects and mechanisms of land-types conversion on greenhouse gas emissions in the Yellow River floodplain wetland[J]. Science of the Total Environment, 813: 152406.
[23]	LIU S R, HU R G, CAI G C, et al., 2014. The role of UV-B radiation and precipitation on straw decomposition and topsoil C turnover[J]. Soil Biology and Biochemistry, 77: 197-202.
[24]	LUO M, LIU Y X, HUANG J F, et al., 2018. Rhizosphere processes induce changes in dissimilatory iron reduction in a tidal marsh soil: A rhizobox study[J]. Plant and Soil, 433(1-2): 83-100.
[25]	MARTÍNEZ-ESPINOSA C, SAUVAGE S, AL BITAR A, et al., 2021. Denitrification in wetlands: A review towards a quantification at global scale[J]. Science of the Total Environment, 754: 142398.
[26]	MITRA S, WASSMANN R, VLEK P L G, 2005. An appraisal of global wetland area and its organic carbon stock[J]. Current Science (Bangalore), 88(1): 25-35.
[27]	MITSCH W J, BERNAL B, NAHLIK A M, et al., 2013. Wetlands, carbon, and climate change[J]. Landscape Ecology, 28(4): 583-597.
[28]	NKANSAH K, ADEDIPE O, DAWSON-ANDOH B, et al., 2015. Determination of concentration of ACQ wood preservative components by UV-Visible spectroscopy coupled with multivariate data analysis[J]. Chemometrics and Intelligent Laboratory Systems, 147: 157-166.
[29]	POGGENBURG C, MIKUTTA R, SANDER M, et al., 2016. Microbial reduction of ferrihydrite-organic matter coprecipitates by Shewanella putrefaciens and Geobacter metallireducens in comparison to mediated electrochemical reduction[J]. Chemical Geology, 447: 133-147.
[30]	POSTH N R, KONHAUSER K O, KAPPLER A, 2013. Microbiological processes in banded iron formation deposition[J]. Sedimentology, 60(7): 1733-1754.
[31]	RITSON J P, GRAHAM N J D, TEMPLETON M R, et al., 2014. The impact of climate change on the treatability of dissolved organic matter (DOM) in upland water supplies: A UK perspective[J]. Science of the Total Environment, 473-474: 714-730.
[32]	SHEN X J, JIANG M, LU X G, et al., 2021. Aboveground biomass and its spatial distribution pattern of herbaceous marsh vegetation in China[J]. Science China Earth Sciences, 64(7): 1115-1125.
[33]	SONG X X, WANG P, VAN ZWIETEN L, et al., 2022. Towards a better understanding of the role of Fe cycling in soil for carbon stabilization and degradation[J]. Carbon Research, 1(1): 5.
[34]	THOMPSON K J, KENWARD P A, BAUER K W, et al., 2019. Photoferrotrophy, deposition of banded iron formations, and methane production in Archean oceans[J]. Science Advances, 5(11): eaav2869.
[35]	TIAN J, FAN M S, GUO J H, et al., 2012. Effects of land use intensity on dissolved organic carbon properties and microbial community structure[J]. European Journal of Soil Biology, 52: 67-72.
[36]	丁昌璞, 2011. 低分子量有机还原性物质与土壤的相互作用Ⅱ. 低分子量有机还原性物质与土壤作用的化学反应[J]. 土壤学报, 48(5): 957-963.
	DING C P, 2011. Interaction between low-molecular weight organic reducing substances and soils Ⅱ. Chemical reactions of low-molecular weight reducing substances with soils[J]. Acta Pedologica Sinica, 48(5): 957-963.
[37]	段勋, 李哲, 刘淼, 等, 2022. 铁介导的土壤有机碳固持和矿化研究进展[J]. 地球科学进展, 37(2): 202-211. DOI
	DUAN X, LI Z, LIU M, et al., 2022. Progress of the iron-mediated soil organic carbon preservation and mineralization[J]. Advances in Earth Science, 37(2): 202-211. DOI
[38]	段勋, 罗敏, 黄佳芳, 等, 2017. 闽江河口潮滩沼泽湿地沉积物铁的形态和空间分布[J]. 环境科学学报, 37(10): 3780-3791.
	DUAN X, LUO M, HUANG J F, et al., 2017. Fractions and the spatial distribution of iron in the sediments of tidal marsh in the Min River Estuary, Southeast China[J]. Acta Scientiae Circumstantiae, 37(10): 3780-3791.
[39]	国家市场监督管理总局, 国家标准化管理委员会, 2018. 气体分析校准用混合气体的制备(GB/T 5274.1—2018)[S]// 第1部分: 称量法制备一级混合气体. 北京: 中国标准出版社: 5-9.
	State Administration for Market Regulation, National Standardization Administration, 2018. Gas analysis: Preparation of calibration gas mixtures (GB/T 5274.1—2018)[S]// Part 1: Gravimetric method for Class Ⅰ mixtures. Beijing: Standard Press of China: 5-9.
[40]	郭晓宇, 程曼, 徐茂宏, 等, 2024. 不同坡向亚高山草甸土壤有机碳光降解特征及其对铁添加的响应[J]. 生态学杂志, 43(1): 33-40.
	GUO X Y, CHENG M, XU M H, et al., 2024. Effects of iron addition on photodegradation of soil organic carbon under different slope aspects in a subalpine meadow[J]. Chinese Journal of Ecology, 43(1): 33-40.
[41]	胡世文, 刘同旭, 李芳柏, 等, 2022. 土壤铁矿物的生物-非生物转化过程及其界面重金属反应机制的研究进展[J]. 土壤学报, 59(1): 54-65.
	HU S W, LIU T X, LI F B, et al., 2022. The abiotic and biotic transformation processes of soil iron-bearing minerals and its interfacial reaction mechanisms of heavy metals: A review[J]. Acta Pedologica Sinica, 59(1): 54-65.
[42]	李家东, 娄广艳, 田开迪, 等, 2023. 黄河中下游水生态保护修复实现途径研究[J]. 人民黄河, 45(S2): 83-84.
	LI J D, LOU G Y, TIAN K D, et al., 2023. Research on the approaches to protect and restore the water ecology in the Middle and Lower Reaches of the Yellow River[J]. Yellow River, 45(S2): 83-84.
[43]	梁鑫, 韩亚峰, 郑柯, 等, 2023. 磁铁矿对稻田土壤碳矿化的影响[J]. 生态环境学报, 32(9): 1615-1622. DOI
	LIANG X, HAN Y F, ZHENG K, et al., 2023. Effects of Fe₃O₄ on soil carbon mineralization in paddy field[J]. Ecology and Environment Sciences, 32(9): 1615-1622. DOI
[44]	柳勇, 于雄胜, 李芳柏, 等, 2014. 紫云英水溶性有机物促进淹水土壤中五氯酚还原与铁还原[J]. 农业环境科学学报, 33(4): 687-694.
	LIU Y, YU X S, LI F B, et al., 2014. Dissolved organic matter from Chinese milk vetch (Astragalus sinicus L.) enhances pentachlorophenol reductive transformation and iron reduction in a flooded paddy soil[J]. Journal of Agro-Environment Science, 33(4): 687-694.
[45]	罗敏, 黄佳芳, 刘育秀, 等, 2017. 根系活动对湿地植物根际铁异化还原的影响及机制研究进展[J]. 生态学报, 37(1): 156-166.
	LUO M, HUANG J F, LIU Y X, et al., 2017. Progress in effects of root bioturbation on dissimilatory iron reduction in the rhizosphere of wetland plants[J]. Acta Ecologica Sinica, 37(1): 156-166.
[46]	曲东, 张一平, SCHNELL S, 等, 2003. 添加氧化铁对水稻土中H₂、CO₂和CH₄形成的影响[J]. 应用生态学报, 14(8): 1313-1316.
	QU D, ZHANG Y P, SCHNELL S, et al., 2003. Effect of iron oxide addition on hydrogen, carbon dioxide and methane geneses in paddy soil[J]. Chinese Journal of Applied Ecology, 14(8): 1313-1316.
[47]	宋旭昕, 刘同旭, 2021. 土壤铁矿物形态转化影响有机碳固定研究进展[J]. 生态学报, 41(20): 7928-7938.
	SONG X X, LIU T X, 2021. Effects of soil iron mineral transformation on organic carbon sequestration: A review[J]. Acta Ecologica Sinica, 41(20): 7928-7938.
[48]	万丹, 王伯仁, 张璐, 等, 2022. 红壤铁氧化物对有机碳的固定及其对长期施肥的响应[J]. 中国生态农业学报(中英文), 30(4): 694-701.
	WANG D, WANG B R, ZHANG L, et al., 2022. Effect of long-term fertilization on the stabilization of soil organic carbon by iron oxides in red soil[J]. Chinese Journal of Eco-Agriculture, 30(4): 694-701.
[49]	王璐莹, 秦雷, 吕宪国, 等, 2018. 铁促进土壤有机碳累积作用研究进展[J]. 土壤学报, 55(5): 1041-1050.
	WANG L Y, QIN L, LÜ X G, et al., 2018. Progress in researches on effect of iron promoting accumulation of soil organic carbon[J]. Acta Pedologica Sinica, 55(5): 1041-1050.
[50]	王旭刚, 郭大勇, 张苹, 等, 2014. 水稻土中铁氧化还原循环的光照水分效应[J]. 土壤学报, 51(4): 853-859.
	WANG X G, GUO D Y, ZHANG P, et al., 2014. Effect of illumination and water condition on iron redox cycle in paddy soil[J]. Acta Pedologica Sinica, 51(4): 853-859.
[51]	王旭刚, 孙丽蓉, 马林娟, 等, 2018a. 黄河中下游湿地土壤铁还原氧化过程的温度敏感性[J]. 土壤学报, 55(2): 380-389.
	WANG X G, SUN L R, MA L J, et al., 2018a. Temperature sensitivity of iron redox processes in wetland soil in the Middle and Lower Reaches of the Yellow River[J]. Acta Pedologica Sinica, 55(2): 380-389.
[52]	王旭刚, 孙丽蓉, 张颖蕾, 等, 2018b. 豫西旱作褐土剖面土壤的氧化铁还原与亚铁氧化特征[J]. 土壤学报, 55(5): 1199-1211.
	WANG X G, SUN L R, ZHANG Y L, et al., 2018b. Characterization of reduction of iron oxide and oxidation of ferrous iron in upland cinnamon soil profiles in west Henan, China[J]. Acta Pedologica Sinica, 55(5): 1199-1211.
[53]	王永慧, 杨殿林, 红雨, 等, 2019. 不同地力玉米田土壤有机碳矿化特征[J]. 农业环境科学学报, 38(3): 590-599.
	WANG Y H, YANG D L, HONG Y, et al., 2019. Characteristics of soil organic carbon mineralization in the soil of maize fields with different soil fertility[J]. Journal of Agro-Environment Science, 38(3): 590-599.
[54]	吴健敏, 郗敏, 孔范龙, 等, 2013. 土壤溶解性有机碳 (DOC) 动态变化影响因素研究进展[J]. 地质论评, 59(5): 953-961.
	WU J M, XI M, KONG F L, et al., 2013. Review of researches on the factors influencing the dynamics of dissolved organic carbon in soils[J]. Geological Review, 59(5): 953-961.
[55]	谢军, 尹学伟, 魏灵, 等, 2023. 垄作直播控制灌溉对水稻产量和温室气体排放的影响[J]. 中国农业科学, 56(4): 697-710. DOI
	XIE J, YIN X W, WEI L, et al., 2023. Effects of control irrigation on grain yield and greenhouse gas emissions in ridge cultivation direct-seeding paddy field[J]. Scientia Agricultura Sinica, 56(4): 697-710. DOI

Differences in Drivers of Agricultural Wetland Soils Carbon Emissions under Contrasting Light Conditions

不同光照条件下农田湿地土壤碳排放的驱动因子差异

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 55

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	ZHOU Lele, WAN Xia, DING Liming, WEI Xingyu, WANG Jianping, CHEN Jing, LI Xin, FAN Min, LI Meng, YU Xiaobin. Study on the Spatial Distribution Characteristics of Carbon Emission-Sequestration and Carbon Supply-demand Ratio in Sichuan Province [J]. Ecology and Environment, 2025, 34(3): 368-379.
[2]	ZHANG Junmei, WANG Zhiyu, YANG Benyong, YANG Shushen, YANG Lingxiao. Pollution Characteristics, Light Absorption and Sources of Water-soluble Organic Carbon in PM_2.5 [J]. Ecology and Environment, 2024, 33(7): 1072-1078.
[3]	LIANG Xin, HAN Yafeng, ZHENG Ke, WANG Xugang, CHEN Zhihuai, DU Juan. Effects of Fe₃O₄ on Soil Carbon Mineralization in Paddy Field [J]. Ecology and Environment, 2023, 32(9): 1615-1622.
[4]	WANG Xinglai, MIAO Shujie, QIAO Yunfa. Evaluating the Carbon Footprint of the Rice-Wheat Rotation System Based on Localized Parameters in Jiangsu Province [J]. Ecology and Environment, 2023, 32(9): 1682-1691.
[5]	SONG Denghui, FU Di, LI Jianqiang, FU Yishan, XING Xuexia, TIAN Yuan. Estimation of Carbon Loss and Carbon Emissions Caused by Prescribed Burning in Pinus yunnanensis Forest [J]. Ecology and Environment, 2023, 32(8): 1376-1383.
[6]	WANG Jiayi, SUN Tingting, SHA Runyu, CHEN Tinghong, XING Ran, QIN Boqiang, SHI Wenqing. Study on the Synergic Effect of Algae Salvage on Pollution Control and Carbon Emission Reduction in Eutrophic Lakes [J]. Ecology and Environment, 2023, 32(6): 1108-1114.
[7]	ZHANG Lu, HE Yufei, CHEN Tan, YANG Ting, ZHANG Bing, JIN Jun. The Spatial and Temporal Pattern Evolution of Carbon Footprint of Farmland Ecosystem in Fenwei Plain from 2011 to 2020 [J]. Ecology and Environment, 2023, 32(6): 1149-1162.
[8]	LI Yushi, XIA Zhiye, ZHANG Lei. Carbon Emission Prediction and Spatial Optimization of Land Use in Chengdu-Chongqing Economic Circle in 2030 Based on SSPs Multi-scenarios [J]. Ecology and Environment, 2023, 32(3): 535-544.
[9]	FAN Qingyao, XIA WeiSheng, MO Chengxin, ZHOU Hao. Study on Transition of Land Use Function and Its Carbon Emission Effect Repose Based on the Conception of “Production, Living and Ecological Space”: A Case Study of Fujian Province [J]. Ecology and Environment, 2023, 32(12): 2183-2193.
[10]	WANG Zhao, ZHANG Manyin, HU Yukun, LIU Weiwei, ZHANG Miaomiao. Effect of Salinity on Mercury Methylation in Sediments of A Typical Coastal Wetland [J]. Ecology and Environment, 2022, 31(9): 1876-1884.
[11]	QI Yue, ZHANG Qiang, HU Shujuan, CAI Dihua, ZHAO Funian, ZHANG Kai, WANG Heling, WANG Runyuan. Climate Change and Its Impact on Winter Wheat Potential Productivity of Loess Plateau in China [J]. Ecology and Environment, 2022, 31(8): 1521-1529.
[12]	LEI Jun, ZHANG Jian, ZHAO Funian, QI Yue, ZHANG Xiuyun, LI Qiang, SHANG Junlin. Response of Photosynthetic Parameters for Spring Wheat at Flowering Stage to Soil Moisture and Temperature [J]. Ecology and Environment, 2022, 31(6): 1151-1159.
[13]	HU Rui, FANG Huanying, XIAO Shengsheng, DUAN Jian, ZHANG Jie, LIU Hongguang, TANG Chongjun. Soil Carbon Sink Effect of Main Management Models in Typical Granite Erosion Area of Red Soil in South China [J]. Ecology and Environment, 2021, 30(8): 1617-1626.
[14]	SHU Yang, ZHOU Mei, ZHAO Pengwu, ZHANG Heng, GUO Jiaoyu, GUAN Lijuan. Surface Dead Fuel Load and Influencing Factors After Lighting Fire Disturbance in Genhe of Daxinganling [J]. Ecology and Environment, 2021, 30(12): 2317-2323.
[15]	LIU Minxia, YU Ruixin, MU Ruolan, XIA Sujuan. Photosynthetic Characteristics of Three Typical Tree Species at Different Altitudes in Beishan, Lanzhou [J]. Ecology and Environment, 2021, 30(10): 1943-1951.