| KANG Jianhua,HUANG Hao,LI Weiwen,LIN Yili,CHEN Xingqun. 2018. Study of monthly variations in primary production and their relationships with environmental factors in the Daya Bay based on a general additive model. Acta Oceanologica Sinica, 37(12):107－117 |
| Study of monthly variations in primary production and their relationships with environmental factors in the Daya Bay based on a general additive model |
| 基于广义可加模型探讨大亚湾初级生产力月变化及其与环境因子的关系 |
| Received:January 02, 2018 |
| DOI：10.1007/s13131-018-1281-6 |
| Key words:primary production environmental factors general additive model monthly variations Daya Bay |
| 中文关键词: 初级生产力 环境因子 广义可加模型 月变化 大亚湾 |
| 基金项目:The National Natural Science Foundation of China under contract No. 41506136; the Scientific Research Foundation of Third Institute of Oceanography, SOA under contract No. 2015005. |
| Author Name | Affiliation | E-mail | | KANG Jianhua | Laboratory of Marine Biology and Ecology, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China | kangjianhua@tio.org.cn | | HUANG Hao | Laboratory of Marine Biology and Ecology, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China | | | LI Weiwen | Laboratory of Marine Biology and Ecology, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China | | | LIN Yili | Laboratory of Marine Biology and Ecology, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China | | | CHEN Xingqun | Laboratory of Marine Biology and Ecology, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China | |
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| Abstract: |
| In this study, the horizontal and vertical distribution of primary production (PP) and its monthly variations were described based on field data collected from the Daya Bay in January-December of 2016. The relationships between PP and environmental factors were analyzed using a general additive model (GAM). Significant seasonal differences were observed in the horizontal distribution of PP, while vertical distribution showed a relatively consistent unimodal pattern. The monthly average PP (calculated by carbon) ranged from 48.03 to 390.56 mg/(m2·h), with an annual average of 182.77 mg/(m2·h). The highest PP was observed in May and the lowest in November. Additionally, the overall trend in PP was spring>summer>winter>autumn, and spring PP was approximately three times that of autumn PP. GAM analysis revealed that temperature, bottom salinity, phytoplankton, and photosynthetically active radiation (PAR) had no significant relationships with PP, while longitude, depth, surface salinity, chlorophyll a (Chl a) and transparency were significantly correlated with PP. Overall, the results presented herein indicate that monsoonal changes and terrestrial and offshore water systems have crucial effects on environmental factors that are associated with PP changes. |
| 中文摘要: |
| 本文根据2016年1-12月大亚湾采集的现场实测数据阐述了该海域初级生产力的水平和垂直分布及其含量的月变化，并利用广义可加模型分析初级生产力与环境因子的关系。结果表明，初级生产力的水平分布存在明显的季节差异，垂直分布则呈现较为统一的单峰型结构。初级生产力月平均含量介于48.03-390.56 mgC/（m2·h），年平均值为182.77 mgC/（m2·h）。初级生产力含量五月份最高，11月份最低，季节变化总体表现为春季>夏季>冬季>秋季，春季含量约为秋季的三倍。广义可加模型分析结果显示初级生产力与温度、底层盐度、浮游植物丰度、光合有效辐射之间无显著相关性，与纬度、水深、表层盐度之间存在显著相关性，与叶绿素a和透明度之间存在极显著相关性。研究结果显示季风的变化以及陆源、外海不同水系对环境因子有着至关重要的影响，而环境因子的变化伴随的是初级生产力的改变。 |
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