Temporal and spatial variation patterns of chlorophyll a in marine ranching under global interannual events

IF 3 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Marine environmental research Pub Date : 2024-09-19 DOI:10.1016/j.marenvres.2024.106760

Shike Gao , Yixi Shi , Shuo Zhang , Chunmei Gao

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Abstract

Marine ecosystems are facing numerous environmental challenges due to global climate change. In response to these challenges, the establishment and growth of marine ranching has emerged as a pivotal solution. Chlorophyll a concentration (Chla) is recognized as a valuable indicator for the ecological assessment of marine ranching. This study focused on the spatiotemporal distribution of Chla and its response to environmental factors according to the dataset in the marine ranching area of Haizhou Bay (Lianyungang, Jiangsu, China) from 2003 to 2022. The results showed that Chla had a significant cycle of summer > spring > autumn and was distributed evenly in the central area of the marine ranching. During interannual changes, Chla patches were centered in the central region during 2014, 2015, and 2016. The Chla patches predominantly focused on the eastern area in 2018–2019, shifting to the western area in 2020–2021. The generalized additive model (GAM) indicated that salinity, depth, temperature, biological oxygen demand (BOD₅) and SiO₃⁻–Si were the main environmental factors affecting Chla during spring, summer and autumn. However, during El Niño events, salinity, depth, temperature, BOD₅ and transparency became the main environmental factors. We concluded that salinity, depth and temperature consistently played a crucial role in determining Chla under various climate conditions, and SiO₃⁻–Si and transparency will no longer be an environmental factor limiting Chla. In addition, The effect of interannual variability on upwelling and vertical mixing of water layers may potentially alter the spatial distribution pattern of Chla. These findings can offer ideas into predicting the variation of Chla in marine ranching under global interannual events in the future. Furthermore, this can contribute to the comprehensive assessment of ecological benefits and the in-depth construction of marine ranching. Ultimately, it can provide essential data and scientific references for offshore ecological environment assessment and ecosystem restoration.

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全球年际事件下海洋牧场叶绿素 a 的时空变化规律。

由于全球气候变化，海洋生态系统正面临诸多环境挑战。为应对这些挑战，建立和发展海洋牧场已成为一个重要的解决方案。叶绿素 a 浓度（Chla）被认为是海洋牧场生态评估的重要指标。本研究根据 2003 年至 2022 年海州湾（江苏连云港）海洋牧场数据集，重点研究了 Chla 的时空分布及其对环境因素的响应。结果表明，Chla 在海州湾海洋牧场中心区域分布均匀，具有明显的 "夏>春>秋 "周期。在年际变化过程中，2014、2015 和 2016 年 Chla 斑块以中部区域为中心。2018-2019 年，Chla 斑块主要集中在东部地区，2020-2021 年转移到西部地区。广义加法模型（GAM）表明，盐度、深度、温度、生物需氧量（BOD5）和氧化硅（SiO3--Si）是春季、夏季和秋季影响 Chla 的主要环境因素。然而，在厄尔尼诺现象期间，盐度、深度、温度、生物需氧量（BOD5）和透明度成为影响 Chla 的主要环境因子。我们的结论是，在各种气候条件下，盐度、深度和温度始终是决定 Chla 的关键因素，而 SiO3--Si 和透明度将不再是限制 Chla 的环境因素。此外，年际变化对上升流和水层垂直混合的影响可能会改变 Chla 的空间分布模式。这些发现为预测未来全球年际事件下海洋牧场中 Chla 的变化提供了思路。此外，这也有助于生态效益的综合评估和海洋牧场的深入建设。最终，可为近海生态环境评估和生态系统修复提供必要的数据和科学参考。

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来源期刊

Marine environmental research 环境科学-毒理学

CiteScore

5.90

自引率

3.00%

发文量

217

审稿时长

46 days

期刊介绍： Marine Environmental Research publishes original research papers on chemical, physical, and biological interactions in the oceans and coastal waters. The journal serves as a forum for new information on biology, chemistry, and toxicology and syntheses that advance understanding of marine environmental processes. Submission of multidisciplinary studies is encouraged. Studies that utilize experimental approaches to clarify the roles of anthropogenic and natural causes of changes in marine ecosystems are especially welcome, as are those studies that represent new developments of a theoretical or conceptual aspect of marine science. All papers published in this journal are reviewed by qualified peers prior to acceptance and publication. Examples of topics considered to be appropriate for the journal include, but are not limited to, the following: – The extent, persistence, and consequences of change and the recovery from such change in natural marine systems – The biochemical, physiological, and ecological consequences of contaminants to marine organisms and ecosystems – The biogeochemistry of naturally occurring and anthropogenic substances – Models that describe and predict the above processes – Monitoring studies, to the extent that their results provide new information on functional processes – Methodological papers describing improved quantitative techniques for the marine sciences.