Greenhouse gases emission flux and impact factors in shrimp and crab mixed culture pond

doi:10.3969/j.issn.1004-1524.20240696

Acta Agriculturae Zhejiangensis ›› 2025, Vol. 37 ›› Issue (9): 1872-1880.DOI: 10.3969/j.issn.1004-1524.20240696

• Animal Science • Previous Articles Next Articles

Greenhouse gases emission flux and impact factors in shrimp and crab mixed culture pond

ZHOU Dan¹(), LIU Mei¹, ZHANG Zheng¹^,², ZOU Songbao¹, NI Meng¹, YUAN Julin¹^,^*()

¹ Key Laboratory of Healthy Freshwater Aquaculture, Ministry of Agriculture and Rural Affairs, Zhejiang Institute of Freshwater Fisheries, Huzhou 313001, Zhejiang, China
² College of Animal Science and Technology, Yangtze University, Jingzhou 434020, Hubei, China

Received:2024-08-01 Online:2025-09-25 Published:2025-10-15
Contact: YUAN Julin

Abstract

Abstract:

In order to reveal the greenhouse gases emission and influencing factors in shrimp and crab mixed culture pond, Eriocheir sinensis monoculture system (Q1) and mixed aquaculture system with high (Q2) or low (Q3) stocking densities of Macrobrachium rosenbergii were constructed. The greenhouse gases (CO₂, CH₄ and N₂O) emission flux in these systems were determined by the static suspension box-gas chromatography (GC), and the water quality and meteorological indicators were also measured and used for correlation analysis. The results showed that the CO₂ emission flux of Q1, Q2 and Q3 was -47.06-65.19,-36.57-118.10,-43.33-85.47 mg·m^-2·h^-1, respectively; the CH₄ emission flux of Q1, Q2 and Q3 was 0.07-4.47, 0.05-0.21, 0.04-2.81 mg·m^-2·h^-1, respectively; and the N₂O emission flux of Q1, Q2 and Q3 was -0.005-0.019,-0.031-0.009,-0.017-0.014 mg·m^-2·h^-1, respectively. The pH value of water was the main environmental factor affecting CO₂ emission flux in ponds, while the concentration of nitrite nitrogen in the water was the main environmental factor affecting the CH₄ and N₂O emission. Global warming potential (GWP) of Q1, Q2 and Q3 was 348.61, 209.29, 226.81 g·m^-2, respectively, and the unit product warming potential (UWP) of Q1, Q2 and Q3 was 2 294.24, 970.97, 1 296.80 g·kg^-1, respectively. In general, co-culture of Eriocheir sinensis and Macrobrachium rosenbergii increased CO₂ emission flux, yet decreased CH₄ emission flux, and had no significant impact on N₂O emission flux. Compared with the monoculture of Eriocheir sinensis, the mixed aquaculture could improve the economic benefit and decrease the GWP and UWP.

Key words: Macrobrachium rosenbergii, Eriocheir sinensis, greenhouse gases emission, global warming potential

CLC Number:

S964.3

ZHOU Dan, LIU Mei, ZHANG Zheng, ZOU Songbao, NI Meng, YUAN Julin. Greenhouse gases emission flux and impact factors in shrimp and crab mixed culture pond[J]. Acta Agriculturae Zhejiangensis, 2025, 37(9): 1872-1880.

Figures/Tables 8

References 30

[1]	RAYMOND P A, HARTMANN J, LAUERWALD R, et al. Global carbon dioxide emissions from inland waters[J]. Nature, 2013, 503(7476): 355-359.
[2]	沈贝蓓, 宋帅峰, 张丽娟, 等. 1981—2019年全球气温变化特征[J]. 地理学报, 2021, 76(11): 2660-2672.
	SHEN B B, SONG S F, ZHANG L J, et al. Changes in global air temperature from 1981 to 2019[J]. Acta Geographica Sinica, 2021, 76(11): 2660-2672. (in Chinese with English abstract)
[3]	刘燕华, 李宇航, 王文涛. 中国实现“双碳” 目标的挑战、机遇与行动[J]. 中国人口·资源与环境, 2021, 31(9): 1-5.
	LIU Y H, LI Y H, WANG W T. Challenges, opportunities and actions for China to achieve the targets of carbon peak and carbon neutrality[J]. China Population, Resources and Environment, 2021, 31(9): 1-5. (in Chinese with English abstract)
[4]	CRIPPA M, SOLAZZO E, GUIZZARDI D, et al. Food systems are responsible for a third of global anthropogenic GHG emissions[J]. Nature Food, 2021, 2(3): 198-209.
[5]	BARTOSIEWICZ M, MARANGER R, PRZYTULSKA A, et al. Effects of phytoplankton blooms on fluxes and emissions of greenhouse gases in a eutrophic lake[J]. Water Research, 2021, 196: 116985.
[6]	PICKARD A, WHITE S, BHATTACHARYYA S, et al. Greenhouse gas budgets of severely polluted urban lakes in India[J]. Science of the Total Environment, 2021, 798: 149019.
[7]	SUN H Y, LU X X, YU R H, et al. Eutrophication decreased CO₂ but increased CH₄ emissions from lake: a case study of a shallow Lake Ulansuhai[J]. Water Research, 2021, 201: 117363.
[8]	YANG P, LAI D Y F, YANG H, et al. Methane dynamics of aquaculture shrimp ponds in two subtropical estuaries, southeast China: dissolved concentration, net sediment release, and water oxidation[J]. Journal of Geophysical Research: Biogeosciences, 2019, 124(6): 1430-1445.
[9]	ZHANG Y, BLEEKER A, LIU J G. Nutrient discharge from China’s aquaculture industry and associated environmental impacts[J]. Environmental Research Letters, 2015, 10(4): 045002.
[10]	XIAO X, AGUSTI S, LIN F, et al. Nutrient removal from Chinese coastal waters by large-scale seaweed aquaculture[J]. Scientific Reports, 2017, 7: 46613.
[11]	丁维新, 袁俊吉, 刘德燕, 等. 淡水养殖系统温室气体CH₄和N₂O排放量研究进展[J]. 农业环境科学学报, 2020, 39(4): 749-761.
	DING W X, YUAN J J, LIU D Y, et al. CH₄ and N₂O emissions from freshwater aquaculture[J]. Journal of Agro-Environment Science, 2020, 39(4): 749-761. (in Chinese with English abstract)
[12]	胡涛, 黄健, 丁颖, 等. 基于漂浮箱法和扩散模型法测定淡水养殖鱼塘甲烷排放通量的比较[J]. 环境科学, 2020, 41(2): 941-951.
	HU T, HUANG J, DING Y, et al. Comparison of floating chamber and diffusion model methods for measuring methane emissions from inland fish-aquaculture ponds[J]. Environmental Science, 2020, 41(2): 941-951. (in Chinese with English abstract)
[13]	WU S, HU Z Q, HU T, et al. Annual methane and nitrous oxide emissions from rice paddies and inland fish aquaculture wetlands in southeast China[J]. Atmospheric Environment, 2018, 175: 135-144.
[14]	祝少华. 沿黄低洼盐碱地池塘养殖罗氏沼虾技术[J]. 中国水产, 2006(5): 34-36.
	ZHU S H. Technique of pond farming Macrobrachium rosenbergii in low-lying saline-alkali lands along the Yellow River[J]. China Fisheries, 2006(5): 34-36. (in Chinese)
[15]	蒋巧丽, 许永久, 郑基, 等. 浙江披山海域主要虾蟹类时空生态位及种间联结性[J]. 应用生态学报, 2021, 32(7): 2604-2614.
	JIANG Q L, XU Y J, ZHENG J, et al. Niches and interspecific association of major shrimp and crab species in Pishan waters of Zhejiang Province, China[J]. Chinese Journal of Applied Ecology, 2021, 32(7): 2604-2614. (in Chinese with English abstract)
[16]	房伟平, 范慧慧, 沈伟棋, 等. 河蟹塘套养大规格罗氏沼虾模式分析[J]. 科学养鱼, 2021(8): 34-35.
	FANG W P, FAN H H, SHEN W Q, et al. Analysis of the polyculture mode of large-sized Macrobrachium rosenbergii in river crab ponds[J]. Scientific Fish Farming, 2021(8): 34-35. (in Chinese)
[17]	周聃, 刘梅, 房伟平, 等. 中华绒螯蟹-日本沼虾池塘套养大规格罗氏沼虾模式氮磷收支及养殖效果研究[J]. 淡水渔业, 2022, 52(5): 76-82.
	ZHOU D, LIU M, FANG W P, et al. Study on nitrogen and phosphorus budget and aquaculture effect of large-scale Macrobrachium rosenbergii in Eriocheir sinensis-Japan M. nipponens pond[J]. Freshwater Fisheries, 2022, 52(5): 76-82. (in Chinese with English abstract)
[18]	KESSAVALOU A, MOSIER A R, DORAN J W, et al. Fluxes of carbon dioxide, nitrous oxide, and methane in grass sod and winter wheat-fallow tillage management[J]. Journal of Environmental Quality, 1998, 27(5): 1094-1104.
[19]	LAMBERT M, FRÉCHETTE J L. Analytical techniques for measuring fluxes of CO₂and CH₄from hydroelectric reservoirs and natural water bodies[M]// Greenhouse gas emissions:fluxes and processes. Berlin: Springer-Verlag, 2005: 37-60.
[20]	Intergovernmental Panel on Climate Change (IPCC). Climate change 2013: the physical science basis:contribution of working group Ⅰ to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change[M]. Cambridge: Cambridge University Press, 2013.
[21]	张东旭. 三疣梭子蟹、日本囊对虾和菲律宾蛤仔不同混养系统水-气界面CO₂和CH₄通量及系统碳收支的研究[D]. 青岛: 中国海洋大学, 2015.
	ZHANG D X. Studies on CH₄ and CO₂ fluxes at water-air interface and carbon budgets of different culture systems with Portunus trituberculatus, Marsupenaeus japonicas and Ruditapes philippinarum[D]. Qingdao: Ocean University of China, 2015. (in Chinese with English abstract)
[22]	林海, 周刚, 李旭光, 等. 夏季池塘养殖中华绒螯蟹生态系统温室气体排放及综合增温潜势[J]. 水产学报, 2013, 37(3): 417-424.
	LIN H, ZHOU G, LI X G, et al. Greenhouse gases emissions from pond culture ecosystem of Chinese mitten crab and their comprehensive global warming potentials in summer[J]. Journal of Fisheries of China, 2013, 37(3): 417-424. (in Chinese with English abstract)
[23]	FRENZEL P, THEBRATH B, CONRAD R. Oxidation of methane in the oxic surface layer of a deep lake sediment (Lake Constance)[J]. FEMS Microbiology Ecology, 1990, 6(2): 149-158.
[24]	程炳红, 郝庆菊, 江长胜. 水库温室气体排放及其影响因素研究进展[J]. 湿地科学, 2012, 10(1): 121-128.
	CHENG B H, HAO Q J, JIANG C S. Research progress on the emission of greenhouse gases from reservoir and its influence factors[J]. Wetland Science, 2012, 10(1): 121-128. (in Chinese with English abstract)
[25]	ZOU J W, HUANG Y, JIANG J Y, et al. A 3-year field measurement of methane and nitrous oxide emissions from rice paddies in China: effects of water regime, crop residue, and fertilizer application[J]. Global Biogeochemical Cycles, 2005, 19(2): 2004GB002401.
[26]	FREEMAN C, NEVISON G B, KANG H, et al. Contrasted effects of simulated drought on the production and oxidation of methane in a mid-Wales wetland[J]. Soil Biology and Biochemistry, 2002, 34(1): 61-67.
[27]	邓晓, 廖晓兰, 黄璜. 稻-鸭复合生态系统产甲烷细菌数量[J]. 生态学报, 2004, 24(8): 1696-1700.
	DENG X, LIAO X L, HUANG H. Studies on amount of methanogens in the rice-duck agroecosystem[J]. Acta Ecologica Sinica, 2004, 24(8): 1696-1700. (in Chinese with English abstract)
[28]	刘永茂, 付卫国, 沈明星, 等. 水生植物对蟹塘NH₃挥发和N₂O排放的影响[J]. 浙江农业科学, 2023, 64(3): 710-714.
	LIU Y M, FU W G, SHEN M X, et al. Effects of aquatic plants on NH₃ volatilization and N₂O emission in crab pond[J]. Journal of Zhejiang Agricultural Sciences, 2023, 64(3): 710-714. (in Chinese with English abstract)
[29]	罗国芝, 邵李娜. 水产养殖活动中N₂O的排放研究进展[J]. 中国水产科学, 2019, 26(3): 604-619.
	LUO G Z, SHAO L N. Analysis of current research status and prospects of N₂O emission from aquaculture production[J]. Journal of Fishery Sciences of China, 2019, 26(3): 604-619. (in Chinese with English abstract)
[30]	EBELING J M, TIMMONS M B, BISOGNI J J. Engineering analysis of the stoichiometry of photoautotrophic, autotrophic, and heterotrophic removal of ammonia-nitrogen in aquaculture systems[J]. Aquaculture, 2006, 257(1/2/3/4): 346-358.

池塘 Pond	月份 Month	COD_Cr/ (mg· L^-1)	TP/ (mg· L^-1)	TN/ (mg· L^-1)	AN/ (mg· L^-1)	NN/ (mg· L^-1)	pH	DO/ (mg· L^-1)	WT/℃	WS/ (km· h^-1)	AT/℃	RH/%	AP/ HPa
Q1	6	32.2 ±1.3	0.50 ±0.03	1.90 ±0.13	0.07 ±0.01	0.015 ±0.002	9.50 ±0.21	7.61 ±0.14	29.9 ±1.3	3.2 ±0.5	31.2 ±1.4	61.8 ±1.2	994.4 ±3.2
	7	34.1 ±2.0	0.51 ±0.02	1.80 ±0.12	0.01 ±0.01	0.005 ±0.001	8.50 ±0.27	7.28 ±0.13	32.7 ±2.1	4.8 ±0.4	34.2 ±1.6	63.8 ±1.7	1 001.7 ±3.6
	8	23.1 ±0.9	0.41 ±0.02	0.71 ±0.06	0.02 ±0.01	0.001 ±0.000	7.83 ±0.19	7.02 ±0.12	35.1 ±2.0	3.3 ±0.6	36.2 ±2.1	65.3 ±2.1	1 007.7 ±3.1
	9	28.4 ±1.6	0.43 ±0.03	1.30 ±0.09	0.07 ±0.02	0.013 ±0.003	8.41 ±0.31	7.65 ±0.14	26.8 ±1.7	4.6 ±0.3	29.2 ±1.3	77.0 ±1.9	1 014.3 ±3.4
	10	32.6 ±2.3	1.70 ±0.07	0.20 ±0.06	0.13 ±0.03	0.030 ±0.007	7.76 ±0.18	7.07 ±0.16	17.8 ±1.6	8.0 ±0.6	17.8 ±0.9	40.0 ±1.3	1 028.8 ±4.3
Q2	6	40.3 ±2.2	0.52 ±0.04	1.50 ±0.14	0.08 ±0.02	0.022 ±0.009	8.77 ±0.31	6.14 ±0.13	28.7 ±1.4	3.7 ±0.4	31.1 ±1.3	62.8 ±1.7	996.8 ±2.7
	7	37.2 ±3.1	0.83 ±0.07	2.80 ±0.21	0.05 ±0.01	0.002 ±0.000	8.76 ±0.24	7.39 ±0.12	31.7 ±1.7	4.5 ±0.3	34.7 ±1.4	61.6 ±1.3	1 002.3 ±3.1
	8	34.6 ±1.7	1.64 ±0.11	0.90 ±0.09	0.21 ±0.06	0.013 ±0.004	7.76 ±0.19	6.18 ±0.14	35.2 ±2.3	3.1 ±0.5	35.8 ±1.9	64.7 ±2.0	1 007.2 ±3.0
	9	55.0 ±3.4	0.72 ±0.09	1.91 ±0.13	0.14 ±0.04	0.021 ±0.003	8.13 ±0.22	8.17 ±0.18	25.7 ±1.6	4.8 ±0.4	29.7 ±0.9	76.4 ±2.1	1 016.2 ±3.7
	10	34.7 ±2.6	0.46 ±0.06	1.41 ±0.17	0.33 ±0.08	0.061 ±0.009	7.52 ±0.16	6.52 ±0.16	17.8 ±1.4	8.3 ±0.7	17.6 ±1.1	40.3 ±1.4	1 027.3 ±3.1
Q3	6	35.3 ±2.7	0.54 ±0.06	2.40 ±0.19	0.08 ±0.03	0.015 ±0.004	9.58 ±0.32	7.81 ±0.17	28.3 ±1.2	4.8 ±0.4	30.1 ±1.4	60.4 ±1.2	997.5 ±2.0
	7	46.2 ±2.4	0.97 ±0.12	2.10 ±0.17	0.05 ±0.01	0.006 ±0.001	9.62 ±0.34	7.27 ±0.16	32.8 ±1.3	5.2 ±0.5	34.5 ±1.3	58.2 ±1.4	1 001.8 ±3.3
	8	50.1 ±3.4	0.34 ±0.06	0.98 ±0.09	0.03 ±0.01	0.001 ±0.000	8.73 ±0.31	6.96 ±0.09	35.6 ±1.9	4.0 ±0.6	38.1 ±2.1	55.7 ±1.3	1 007.4 ±3.4
	9	57.0 ±3.7	1.08 ±0.14	1.71 ±0.21	0.09 ±0.02	0.014 ±0.003	8.91 ±0.29	7.59 ±0.19	25.7 ±1.4	2.0 ±0.2	33.4 ±1.9	65.9 ±2.1	1 014.5 ±2.9
	10	26.7 ±1.9	0.77 ±0.05	3.21 ±0.29	0.61 ±0.12	0.033 ±0.012	8.09 ±0.18	9.51 ±0.22	17.6 ±1.0	8.9 ±0.7	18.3 ±1.6	35.0 ±1.9	1 028.3 ±3.6

池塘 Pond	月份 Month	COD_Cr/ (mg· L^-1)	TP/ (mg· L^-1)	TN/ (mg· L^-1)	AN/ (mg· L^-1)	NN/ (mg· L^-1)	pH	DO/ (mg· L^-1)	WT/℃	WS/ (km· h^-1)	AT/℃	RH/%	AP/ HPa
Q1	6	32.2 ±1.3	0.50 ±0.03	1.90 ±0.13	0.07 ±0.01	0.015 ±0.002	9.50 ±0.21	7.61 ±0.14	29.9 ±1.3	3.2 ±0.5	31.2 ±1.4	61.8 ±1.2	994.4 ±3.2
	7	34.1 ±2.0	0.51 ±0.02	1.80 ±0.12	0.01 ±0.01	0.005 ±0.001	8.50 ±0.27	7.28 ±0.13	32.7 ±2.1	4.8 ±0.4	34.2 ±1.6	63.8 ±1.7	1 001.7 ±3.6
	8	23.1 ±0.9	0.41 ±0.02	0.71 ±0.06	0.02 ±0.01	0.001 ±0.000	7.83 ±0.19	7.02 ±0.12	35.1 ±2.0	3.3 ±0.6	36.2 ±2.1	65.3 ±2.1	1 007.7 ±3.1
	9	28.4 ±1.6	0.43 ±0.03	1.30 ±0.09	0.07 ±0.02	0.013 ±0.003	8.41 ±0.31	7.65 ±0.14	26.8 ±1.7	4.6 ±0.3	29.2 ±1.3	77.0 ±1.9	1 014.3 ±3.4
	10	32.6 ±2.3	1.70 ±0.07	0.20 ±0.06	0.13 ±0.03	0.030 ±0.007	7.76 ±0.18	7.07 ±0.16	17.8 ±1.6	8.0 ±0.6	17.8 ±0.9	40.0 ±1.3	1 028.8 ±4.3
Q2	6	40.3 ±2.2	0.52 ±0.04	1.50 ±0.14	0.08 ±0.02	0.022 ±0.009	8.77 ±0.31	6.14 ±0.13	28.7 ±1.4	3.7 ±0.4	31.1 ±1.3	62.8 ±1.7	996.8 ±2.7
	7	37.2 ±3.1	0.83 ±0.07	2.80 ±0.21	0.05 ±0.01	0.002 ±0.000	8.76 ±0.24	7.39 ±0.12	31.7 ±1.7	4.5 ±0.3	34.7 ±1.4	61.6 ±1.3	1 002.3 ±3.1
	8	34.6 ±1.7	1.64 ±0.11	0.90 ±0.09	0.21 ±0.06	0.013 ±0.004	7.76 ±0.19	6.18 ±0.14	35.2 ±2.3	3.1 ±0.5	35.8 ±1.9	64.7 ±2.0	1 007.2 ±3.0
	9	55.0 ±3.4	0.72 ±0.09	1.91 ±0.13	0.14 ±0.04	0.021 ±0.003	8.13 ±0.22	8.17 ±0.18	25.7 ±1.6	4.8 ±0.4	29.7 ±0.9	76.4 ±2.1	1 016.2 ±3.7
	10	34.7 ±2.6	0.46 ±0.06	1.41 ±0.17	0.33 ±0.08	0.061 ±0.009	7.52 ±0.16	6.52 ±0.16	17.8 ±1.4	8.3 ±0.7	17.6 ±1.1	40.3 ±1.4	1 027.3 ±3.1
Q3	6	35.3 ±2.7	0.54 ±0.06	2.40 ±0.19	0.08 ±0.03	0.015 ±0.004	9.58 ±0.32	7.81 ±0.17	28.3 ±1.2	4.8 ±0.4	30.1 ±1.4	60.4 ±1.2	997.5 ±2.0
	7	46.2 ±2.4	0.97 ±0.12	2.10 ±0.17	0.05 ±0.01	0.006 ±0.001	9.62 ±0.34	7.27 ±0.16	32.8 ±1.3	5.2 ±0.5	34.5 ±1.3	58.2 ±1.4	1 001.8 ±3.3
	8	50.1 ±3.4	0.34 ±0.06	0.98 ±0.09	0.03 ±0.01	0.001 ±0.000	8.73 ±0.31	6.96 ±0.09	35.6 ±1.9	4.0 ±0.6	38.1 ±2.1	55.7 ±1.3	1 007.4 ±3.4
	9	57.0 ±3.7	1.08 ±0.14	1.71 ±0.21	0.09 ±0.02	0.014 ±0.003	8.91 ±0.29	7.59 ±0.19	25.7 ±1.4	2.0 ±0.2	33.4 ±1.9	65.9 ±2.1	1 014.5 ±2.9
	10	26.7 ±1.9	0.77 ±0.05	3.21 ±0.29	0.61 ±0.12	0.033 ±0.012	8.09 ±0.18	9.51 ±0.22	17.6 ±1.0	8.9 ±0.7	18.3 ±1.6	35.0 ±1.9	1 028.3 ±3.6

环境因子 Environmental factors	CO₂排放通量 Emission flux of CO₂	CH₄排放通量 Emission flux of CH₄	N₂O排放通量 Emission flux of N₂O
COD_Cr	-0.036	0.038	0.090
TP	0.161	-0.280	-0.150
TN	-0.301	0.049	0.236
AN	0.307	-0.529^*	-0.579^*
NN	0.123	-0.537^*	-0.794^**
pH	-0.716^**	0.322	0.515^*
DO	0.024	-0.508	-0.704^**
WT	0.006	0.517^*	0.712^**
WS	0.123	-0.359	-0.349
AT	-0.001	0.471	0.614^*
RH	-0.056	0.352	0.312
AP	0.558^*	-0.439	-0.748^**

环境因子 Environmental factors	CO₂排放通量 Emission flux of CO₂	CH₄排放通量 Emission flux of CH₄	N₂O排放通量 Emission flux of N₂O
COD_Cr	-0.036	0.038	0.090
TP	0.161	-0.280	-0.150
TN	-0.301	0.049	0.236
AN	0.307	-0.529^*	-0.579^*
NN	0.123	-0.537^*	-0.794^**
pH	-0.716^**	0.322	0.515^*
DO	0.024	-0.508	-0.704^**
WT	0.006	0.517^*	0.712^**
WS	0.123	-0.359	-0.349
AT	-0.001	0.471	0.614^*
RH	-0.056	0.352	0.312
AP	0.558^*	-0.439	-0.748^**

池塘 Pond	中华绒螯蟹产量 Yield of E. sinensis/ (kg·hm^-2)	罗氏沼虾产量 Yield of M. rosenbergii/ (kg·hm^-2)	经济产值 Economic output/ (yuan·hm^-2)	毛利润 Gross profit/(yuan·hm^-2)
Q1	1 519.5	0	182 340	92 340
Q2	1 531.5	624.0	258 660	128 160
Q3	1 566.0	183.0	209 880	110 880

Greenhouse gases emission flux and impact factors in shrimp and crab mixed culture pond

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池塘 Pond	CO₂排放强度 Emission intensity of CO₂/ (g·m^-2)	CH₄排放强度 Emission intensity of CH₄/ (g·m^-2)	N₂O排放强度 Emission intensity of N₂O/ (g·m^-2)	GWP/ (g·m^-2)	UWP/ (g·kg^-1)
Q1	69.66	9.76	0.02	348.61	2 294.24
Q2	205.11	0.43	-0.03	209.29	970.97
Q3	105.28	4.39	-0.01	226.81	1 296.80

[1]	REN Jindong, CHEN Honglin, NIU Baolong, XU Xiaojun, LOU Bao. Mining new housekeeping genes of Macrobrachium rosenbergii based on transcriptome analysis [J]. Acta Agriculturae Zhejiangensis, 2025, 37(7): 1424-1429.
[2]	MI Songhua1， HUANG Zuhui2，*， ZHU Qibiao1， HUANG HExiao1, LI Baozhi1. Costbenefit assessment for greenhouse gas mitigation in ricebased agriculture [J]. , 2016, 28(4): 707-.