1.华中农业大学水产学院/双水双绿研究院/长江经济带大宗水生生物产业绿色发展教育部工程研究中心, 武汉 430070
2.湖北洪山实验室, 武汉 430070
荆煜宸,E-mail:2725670233@qq.com
顾泽茂,E-mail:guzemao@mail.hzau.edu.cn
收稿:2025-04-14,
纸质出版:2025-05-06
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荆煜宸,徐智威,顾泽茂.稻-鸭-虾种养模式中浮游植物群落结构特征及其与环境因子的关系[J].华中农业大学学报,2025,44(3):53‐64.
JING Yuchen,XU Zhiwei,GU Zemao.Community structure of phytoplankton and its relationship with environmental factors in rice-duck-crayfish integrated model[J].Journal of Huazhong Agricultural University,2025,44(03):53-64.
荆煜宸,徐智威,顾泽茂.稻-鸭-虾种养模式中浮游植物群落结构特征及其与环境因子的关系[J].华中农业大学学报,2025,44(3):53‐64. DOI: 10.13300/j.cnki.hnlkxb.2025.03.007.
JING Yuchen,XU Zhiwei,GU Zemao.Community structure of phytoplankton and its relationship with environmental factors in rice-duck-crayfish integrated model[J].Journal of Huazhong Agricultural University,2025,44(03):53-64. DOI: 10.13300/j.cnki.hnlkxb.2025.03.007.
为了精准把握稻-鸭-虾种养模式的投喂及水质调控,2023年3月-2024年1月连续监测了稻-鸭-虾种养模式(rice-duck-crayfish integrated model, RDCI)和稻-虾连作模式(rice-crayfish continuous culture model, RCCC)水体浮游植物及水体理化因子,以探究稻-鸭-虾种养模式中浮游植物的群落结构特征及其与环境因子的关系。结果显示:RDCI中共检出浮游植物8门214种,高于RCCC中的8门196种,2种模式群落组成均以绿藻门、硅藻门和裸藻门为主。RDCI中优势种(
Y
≥0.02)共有18种,多于RCCC中的14种。RDCI中浮游植物密度的变化范围为0.52×10
8
~2.19×10
8
ind/L,最大和最小值分别出现在4月和6月;生物量的变化范围为3.10~29.41 mg/L,最大和最小值分别出现在5月和7月;浮游植物Margalef丰富度指数、Pielou均匀度指数和Shannon-Wiener多样性指数的全年均值分别为2.45、0.67和1.15。与RCCC相比,RDCI中浮游植物密度在养虾期和越冬期较低,浮游植物生物量和多样性指数在养虾期、越冬期和水稻成熟期较高。冗余分析结果显示RDCI中浮游植物优势种受到水温、溶氧、总氮和总磷的影响。综上所述,相较于RCCC,RDCI中浮游植物多样性更高,均匀度更好,表明其群落结构较为复杂和稳定。浮游植物的物种组成及相关指数反映出RDCI在养虾期和越冬期降低了水体富营养化程度,同时在种稻期增加了水体养分,这有利于减少农业面源污染,促进农业的绿色发展。
To accurately manage precise feeding and water quality regulation in the rice-duck-crayfish integrated model (RDCI), continuous monitoring of phytoplankton and physicochemical parameters in the water was conducted from March 2023 to January 2024 in both the RDCI and the rice-crayfish continuous culture model (RCCC). This study aimed to investigate the community structure characteristics of phytoplankton and their relationships with environmental factors in the RDCI system
.The results showed that a total of 214 species from 8 phyla of phytoplankton were found in the RDCI, which is higher than the 196 species from 8 phyla in the RCCC. Both systems were predominantly composed of Chlorophyta, Bacillariophyta, and Euglenophyta. The RDCI had 18 dominant species (
Y
≥0.02), more than the 14 in the RCCC. The density of phytoplankton in RDCI ranged from 0.52×10⁸ to 2.19×10⁸ ind/L, with the maximum observed in June and the minimum in April. The biomass ranged from 3.10 to 29.41 mg/L, with the maximum in May and the minimum in July. The annual mean values for the phytoplankton Margalef richness index, Pielou evenness index, and Shannon-Wiener diversity index were 2.45, 0.67, and 1.15, respectively. Compared with RCCC, the density of phytoplankton in RDCI was lower during the crayfish farming and overwintering stages, while the biomass and diversity indices of phytoplankton were higher during the crayfish farming, overwintering, and rice maturity stages.The redundancy analysis results showed that the dominant species of phytoplankton in RDCI were influenced by water temperature, dissolved oxygen, total nitrogen, and total phosphorus. In summary, compared with RCCC, RDCI exhibits higher phytoplankton diversity and better evenness, suggesting a more complex and stable community structure. The species composition of phytoplankton and related indices indicate that RDCI mitigates the degree of eutrophication in water during both the shrimp farming and the overwintering stages, while increasing nutrients levels during the rice planting stage. This approch is benificial for reducing non-point source pollution in agriculture and promoting green agricultural development.
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