Long-term variation in phytoplankton assemblages during urbanization: A comparative case study of Deep Bay and Mirs Bay, Hong Kong, China

https://doi.org/10.1016/j.scitotenv.2020.140993Get rights and content

Highlights

  • A 23-year phytoplankton dynamics and water quality data set was present.

  • Deep Bay and Mirs Bay significantly differ in nutrients and physical factors.

  • Phytoplankton community was less diverse with higher biomass in Deep Bay.

  • Significant variables were identified to explain part of phytoplankton dynamics.

  • Organic nutrients may be a potential factor to influence phytoplankton dynamics.

Abstract

A long-term dataset, including physicochemical, nutrient, and phytoplankton assemblages from 1994 to 2016, was analyzed to investigate the response of the algal community to variations in environmental factors in Deep Bay and Mirs Bay in southern China. These bays differ in their overall nutrient loadings, as well as in physical factors. The results showed that diatoms were numerically dominant in Mirs Bay, while other minor phytoplankton groups, including eutrophication-tolerant species, constituted the majority in Deep Bay. Phytoplankton community composition tended to be less complex in Deep Bay, suggesting a stressed, unstable and unbalanced ecosystem compared to that in Mirs Bay. Algal blooms occurred more frequently in Mirs Bay, whereas fewer but larger-scale blooms occurred in Deep Bay. Statistically, the combination of all explanatory variables accounted for approximately 55% of the variation in Chlorophyll-a (Chl-a) concentration and less than 20% of the total phytoplankton variation over the 23-year period in the two bays. The high level of nutrients caused by urbanization was not the driving force in the formation of blooms but presumably provided a nutrient base that resulted in blooms with longer durations and covering larger areas.

Introduction

Coastal seas are important areas of oceans and one of the most valuable and vulnerable habitats that are increasingly affected by near-shore human activities (Jickells, 1998; Spatharis et al., 2007; Shen et al., 2011; Wu et al., 2016). Urbanization, which is a major pressure on aquatic ecosystems, has resulted in extensive water quality problems in numerous cities (Xu et al., 2017). Hong Kong shares the waters of two important bays, Deep Bay and Mirs Bay, with Shenzhen, a quickly growing city in mainland China. Deep Bay is a shallow embayment with sediment-laden water in the eastern Pearl River estuary and northwestern part of the New Territories, located at 113°53′–114°0.6′E and 22°24′–22°31′N. It has very low discharge and sustains a unique aquatic ecosystem with the ecologically sensitive Mai Po Inner Deep Bay Ramsar Site and oyster culture areas (Xu et al., 2010; EPD (Environmental Protection Department of Hong Kong), 2018). This bay also has the largest and most important mangrove habitat in Hong Kong, as well as an important feeding ground for a huge number of resident and wintering birds (EPD (Environmental Protection Department of Hong Kong), 2018). Due to rapid economic development and urbanization in Shenzhen and Hong Kong, Deep Bay is becoming increasingly polluted by domestic sewage, industrial waste, and stormwater runoff (Huan et al., 2016). In contrast, Mirs Bay, the second major estuarine ecosystem in Shenzhen, is located at 114°13′–114°32′E and 22°38′–22°24′N, subject to less pollution, and maintains a good ecological environment. In general, Mirs Bay has healthy coastlines and good water quality, supporting a great diversity of marine life (EPD (Environmental Protection Department of Hong Kong), 2016).

Eutrophication caused by increased anthropogenic nutrient inputs has been considered a major threat to marine ecosystems for decades (e.g., Bachmann et al., 2006; Xu et al., 2010). Nutrient enrichment (mainly nitrogen, phosphorus and silica) stimulates excessive algal (phytoplankton) growth, forming blooms that result in the deterioration of water quality and the ecosystem. Phytoplankton are critical components of marine ecosystems and represent the first biological response to nutrient enrichment and other environmental problems through changing population dynamics and community structure (Blanco et al., 2008; Shen et al., 2010). Many studies have shown that nutrient enrichment can significantly affect phytoplankton at the species and genus levels or cause variation in chlorophyll concentration, a proxy for phytoplankton biomass (Jiang et al., 2014; Godhe et al., 2015; López-Abbate et al., 2017; Xiao et al., 2018). Phytoplankton monitoring is thus crucial for tracking the biological consequences of nutrient enrichment over time. It provides information on the status and trends of water quality and plays an essential role in the management of coastal eutrophication. In this context, it is informative to analyze long-term ecological monitoring data for specific locations/ecosystems of interest to better understand the effects of environmental factors on phytoplankton communities.

The Environmental Protection Department (EPD) of the Hong Kong government initiated a comprehensive sampling program to monitor water quality and the phytoplankton community in territorial waters in the late 1980s. These time-series data reveal the response of phytoplankton assemblages to long-term environmental changes, which allow us to better understand the long-term impact of urbanization on the phytoplankton community in Deep Bay and Mirs Bay. This study attempts to determine to what extent the variation in phytoplankton biomass, abundance and composition can be explained by changes in nutrients and other physicochemical variables in Deep Bay and Mirs Bay.

Section snippets

Investigation area and data source

Deep Bay is a subtropical semi-enclosed bay, located in northwestern Hong Kong to the east of the Lingding Channel of the Pearl River Estuary. It has an average water depth of approximately 3 m and a tidal range of approximately 1.4 m. It is 17.5 km long in the SW-NE direction and 7.5 km long in the NW-SE direction, with an area of 90.8 km2 (Qiu et al., 2010; Wang et al., 2020). Mirs Bay, a semi-enclosed bay in the northern South China Sea, is located just to the east of Daya Bay. It is

Nutrients and nutrient structure

The concentrations of total nitrogen (TN) and total phosphorus (TP) from 1994 to 2016 are summarized in Fig. 2. The concentrations reached their highest levels between 1997 and 1998 and then decreased significantly in both bays. The TN concentration in Deep Bay was sustained at a relatively high level of greater than 1.2 mg/L, approximately two-fold more than the Water Quality Objectives (WQOs), proposed by the EPD for Deep Bay. The concentration of TN was approximately 0.2 mg/L in Mirs Bay,

Discussion

Based on the hydrographical conditions of Hong Kong waters and the proximity to the Pearl River Estuary, the water control zones of Hong Kong are broadly divided into four main areas, including eastern waters, central waters, western waters and southern waters (EPD (Environmental Protection Department of Hong Kong), 2016). Mirs Bay, an area of eastern waters, has beautiful coastlines and good water quality, with high DO and low TIN levels. Deep Bay is located to the west and is characterized by

Conclusions

Multiyear data document the temporal variations in water quality in the two bays with different nutritional/trophic statuses and corresponding responses of the phytoplankton communities to the combined influence of multiple environmental factors, rather than any single factor. Under the cumulative effects of both physical and chemical factors, only approximately 55% of the variation in Chl-a concentration and less than 20% of total phytoplankton composition and abundance could be explained in

CRediT authorship contribution statement

Rui Wang: Writing - original draft, Writing - review & editing, Software. Jiajun Wu: Conceptualization, Writing - review & editing, Validation. King-Fung Yiu: Software, Methodology, Data curation. Pingping Shen: Supervision, Writing - review & editing, Validation. Paul K.S. Lam: Conceptualization, Writing - review & editing.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This study was supported by the Shenzhen Research and Technology Project (JCYJ20160608153654409) and China Postdoctoral Science Foundation Project (2018M633157). We thank the Environmental Protection Department of Hong Kong for providing us with the monitoring data for this publication.

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