Chlorophyll-a Variation Trends in Marginal Seas: Assessing the Impact of Global warming and Anthropogenic Activities Using Time Series Satellite Data (1998–2020)
Abstract. Global warming has been identified as the main cause of the decline of surface chlorophyll-a (Chl-a) concentrations in the oceans. Conversely, an increase in Chl-a concentration has been observed in a number of marginal seas over recent decades due to increasing anthropogenic input of key nutrients. However, with the intensification of global warming, its impact on Chl-a in coastal waters has been rarely studied, with the superimposed effects of human regulation of nutrients emissions. This study utilized time series of oceanic color satellite data from 1998 to 2020 to examine the spatio-temporal distribution of Chl-a in a range of marginal sea areas, and its relationship with environmental factors, particularly with sea surface temperature (SST), photosynthetically active radiation (PAR) and surface wind speed (SWS) are considered as well. The results suggested that the sea areas examined with varying mixing and water exchange characteristics and degrees of human influence have differing responses (in terms of their Chl-a trends) to increasing SST. Specifically, eutrophic closed seas with weak hydrodynamic exchange capacity, like the Bohai Sea, increasing SST did not apparent suppress Chl-a concentration, but instead continuous increase in Chl-a was observed in the central of the sea. In comparison, the open marginal seas examined show strong negative relationships between SST and Chl-a with distance offshore regardless of the degree of pressure from human activities, indicating that expected global warming effects driving reductions in Chl-a are extending to nearshore / marginal sea areas. This trend may be exacerbated due to stricter environment management policies imposed in recent years which have reduced anthropogenic nutrient inputs. Distinct from the above effect of global warming, PAR and SWS shape Chl-a in ways that are strongly modulated by geography and climate. PAR is the dominant positive control only in the Amazon estuary, where equatorial cloudiness and high turbidity create a light-limited regime, so any PAR increase directly stimulates phytoplankton. In mid-latitude open waters, PAR is secondary to SST: its seasonal rise is coupled to SST and therefore correlates negatively with Chl-a once thermal stratification reduces nutrient supply. SWS emerges as a key driver in the three open regimes (East China Sea >US East Coast> Amazon shelf), through injecting nutrient-rich cold deep water and episodically raise Chl-a. Inside the two enclosed seas (Bohai, Gulf of Mexico), correlations with both PAR and SWS are weak (│r│ < 0.2); Thus, PAR and SWS control Chl-a in a complex way, but both are more or less links to SST and nutrients input. This study highlights the complex interaction between primary production, SST, nutrient inputs and exchange, and environmental protection controls under the dual pressures of changes in human activity and coastal development, and global warming.
General Comments
This manuscript presents a comprehensive analysis of chlorophyll-a (Chl-a) trends in five marginal seas with varying hydrodynamic and anthropogenic characteristics, using satellite-derived data from 1998 to 2020. The study addresses a timely and important topic—the interplay between global warming and human activities in shaping coastal phytoplankton dynamics. The methodology is robust, combining trend analysis, stability assessment, and correlation/PCA to disentangle the effects of SST, PAR, and SWS on Chl-a. The findings highlight the contrasting responses of enclosed vs. open seas to warming, which is a valuable contribution to the field. The manuscript is generally well-structured and clearly written, though some sections could benefit from greater clarity and methodological detail.
Major Comments
1. Data Integration and Harmonization:
The use of multiple satellite sensors (SeaWiFS and MODIS) is appropriate for long-term trend analysis. However, the methodology for merging and harmonizing these datasets (Appendix A) is not sufficiently detailed in the main text. The authors should clarify how they addressed potential biases between sensors, especially for Chl-a and PAR, and justify the selection of specific months for correction.
2. SST Period Identification:
The identification of SST warming and stable periods using a 4-year moving window is innovative. However, the rationale for choosing this window length and its suitability for capturing climate-scale signals versus interannual variability (e.g., ENSO) should be more thoroughly explained.
3. Interpretation of Correlation vs. Causation:
While the study identifies correlations between Chl-a and environmental factors, the discussion often implies causation. The authors should more carefully distinguish between correlation and causation, especially when attributing Chl-a changes to global warming versus anthropogenic nutrient inputs.
4. Spatial Heterogeneity and Scale:
The study covers large and diverse regions, but some conclusions (e.g., about “open” vs. “enclosed” seas) may oversimplify intra-regional variability. More nuanced discussion of sub-regional processes (e.g., upwelling, river plumes) would strengthen the interpretation.
5. Anthropogenic Proxy:
Population density is used as a proxy for anthropogenic pressure, which is reasonable but indirect. The authors should acknowledge the limitations of this approach and consider discussing other potential indicators (e.g., fertilizer use, wastewater discharge) where data are available.
Specific Comments
1. Abstract:
The abstract clearly summarizes the main findings but could better highlight the novel aspects of the study, such as the contrasting responses of enclosed vs. open seas to SST rise.
2. Introduction:
Lines 65–70: The discussion of upwelling and its role in Chl-a dynamics is well-placed, but the transition to anthropogenic effects seems a bit abrupt and could be smoother.
3. Methods:
Section 2.2: Please specify how the missing data were handled, especially in coastal areas with high turbidity or cloud cover.
Section 2.3.1: The M-K trend test is appropriately applied, but the justification for using both M-K and least squares trend analysis should be briefly explained.
Results:
Figure 4: The spatial patterns are informative, but the color scales for Chl-a are not always intuitive. Consider using a consistent scale across panels for easier comparison.
Figure 9: The correlation maps are useful, but the classification of correlation strength (e.g., “high negative”) should be clearly defined in the caption or legend.
Discussion:
Lines 420–430: The interpretation of PAR in the Amazon Estuary is insightful, but the mechanism behind the weak SST-Chl-a relationship could be elaborated (e.g., barrier layer effects).
Lines 530–540: The conclusion that Chl-a in the Bohai Sea is less impacted by warming due to high nutrient levels is compelling but should be tempered with the acknowledgment of potential lag effects or nonlinear responses.
Conclusions:
The conclusions are well-supported but could be more forward-looking. For example, what are the implications for coastal management under future warming scenarios?
References:
The reference list is comprehensive and up-to-date, though a few recent key studies on marginal sea Chl-a trends (e.g., from the past 2–3 years) could be included.
Format adjustments:
Line 51: The references cited are divided into two parentheses. Please correct.
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There might be format errors that the reviewer have or omitted or not yet discovered. Please check carefully
Overall Recommendation:
This manuscript presents a valuable and well-executed study that advances our understanding of Chl-a dynamics in marginal seas under dual pressures of climate change and human activity. With minor to moderate revisions—particularly in methodological transparency and causal interpretation—it will be suitable and worthy for publication on Ocean Science.