| 引用本文: | 熊朋莉,徐姗楠,陈作志,张帅,蒋佩文,范江涛.珠江河口棘头梅童鱼时空分布以及影响因素的研究进展[J].海洋科学,2022,46(8):79-87. |
| |
|
| |
|
|
| 本文已被：浏览 768次 下载 642次 |
码上扫一扫！ |
|
|
| 珠江河口棘头梅童鱼时空分布以及影响因素的研究进展 |
|
熊朋莉1,2,3, 徐姗楠4,2, 陈作志4,2, 张帅4, 蒋佩文4,2,3, 范江涛4,2
|
|
1.上海海洋大学海洋科学学院, 上海 201306;2.南方海洋科学与工程广东省实验室, 广东 广州 511458;3.上海海洋大学水产与生命学院, 上海 201306;4.中国水产科学研究院南海水产研究所, 农业农村部外海渔业开发重点实验室, 广东 广州 510300
|
|
| 摘要: |
| 根据2019—2020年珠江河口底拖网调查数据,结合实测环境数据和遥感环境数据,建立以资源密度为响应变量的珠江河口棘头梅童鱼的广义加性模型(generalized additive models,GAM),分析棘头梅童鱼(Collichthy lucidus)时空分布规律,筛选影响其时空分布的关键环境因子。结果表明,棘头梅童鱼主要分布在伶仃洋海域,相对于冬、春两季,秋季棘头梅童鱼向南移动。构建最佳GAM模型的变量组合为底层盐度、叶绿素a浓度、底层酸碱度和季节,该模型对资源密度的累计方差解释率为96.8%,其中叶绿素a浓度对资源密度的贡献率最高,为58.2%,季节、底层盐度、底层酸碱度对其资源密度的贡献率分别为21.1%、14.8%、2.7%。研究结果可为棘头梅童鱼资源保护提供有效的科学依据。 |
| 关键词: 时空分布 环境因子影响效应 GAM模型 棘头梅童鱼 珠江河口 |
| DOI：10.11759/hykx20220116001 |
| 分类号:S931.4 |
| 基金项目:国家重点研发计划(2018YFD0900902);南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项(GML2019ZD0605);中央级公益性科研院所基本科研业务费专项资金项目(2020TD05,2021SD01) |
|
| Spatiotemporal distribution of Collichthy lucidus in the Pearl River Estuary and its relationship with environmental factors |
|
XIONG Peng-li1,2,3, XU Shan-nan4,2, CHEN Zuo-zhi4,2, ZHANG Shuai4, JIANG Pei-wen4,2,3, FAN Jiang-tao4,2
|
|
1.College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;2.Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511548, China;3.College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China;4.South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Open-Sea Fishery Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510300, China
|
| Abstract: |
| Based on the bottom trawl survey data of the Pearl River Estuary (PRE) in 2019–2020 and the environmental data obtained via remote sensing and in situ observation, a generalized additive model (GAM) with resource density as the response variable was established to analyze the spatiotemporal distribution of Collichthy lucidus in the PRE and to screen the key environmental factors affecting this distribution. Results showed that C. lucidus was mainly distributed in Lingdingyang. Compared with winter and spring, the species moved southward in autumn. The optimal combination of GAM model variables includes bottom salinity (BS), chlorophyll a (CHL), bottom pH (BpH), and season; 96.8% of the total variation in resource density was explained by these factors. Of all factors, the most important was CHL, accounting for 14.3%, followed by season, BS, and BpH with contributions of 21.1%, 14.8%, and 2.7%, respectively. The results of this study can provide an effective scientific basis for the conservation of plum fish resources. |
| Key words: spatiotemporal distribution impacts of environmental factors generalized additive models (GAM) Collichthy lucidus the Pearl River Estuary |
|
|
|
|
|
|