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Editor’s summary

The oceans are becoming greener toward the poles and bluer in the subtropics. Zhao et al. report measurements of ocean color made by satellites between 2003 and 2022 showing that a disparity in chlorophyll abundances is causing this trend, signaling a profound shift in the distribution of plankton biomass (see the Perspective by Kudela). This shift, which is most pronounced in the Northern Hemisphere, could cascade to higher trophic levels and cause unforeseen impacts on fisheries and national economies. —Jesse Smith

Abstract

Although the global greening associated with climate change is well documented on land, similar trends in the ocean have not been thoroughly identified. Using satellite observations of ocean chlorophyll a (Chl) concentration, we show that the surface ocean experienced a poleward greening from 2003 to 2022. Contemporaneously, the subtropical regions of the Northern Hemisphere experienced a decrease in Chl. As such, the latitudinal disparity in Chl, as documented by an inequality index, has been increasing over the past two decades, particularly in the Northern Hemisphere. Rising water temperatures may primarily influence the Chl trends. The increasing Chl inequality—marked by “greener green and bluer blue” waters—has the potential to cascade to higher trophic levels, with implications for the fisheries and economies of coastal nations.
Earth greening refers to an increasing trend in global leaf area, an indication of enhanced photosynthetic activity on land. Numerous studies since the 1990s have reported this phenomenon across high-latitude, temperate, and tropical regions and have attributed it to climate and land use change (1–4). In 2023, nearly 63% of global vegetated areas exhibited positive normalized difference vegetation index anomalies, the third highest record since 2000, indicating a continuous increase in terrestrial greenness (5). Given that the ocean contributes to about half of Earth’s primary production, a similar analysis of trends in global ocean photosynthesis in response to climate change is critical yet remains elusive.
Observing secular trends in the ocean has been challenging owing to the strong natural variability in marine ecosystems (6–9). As on land, photosynthesis in the marine environment is influenced by several factors, including light availability, temperature, and nutrient supply. However, the impact of these factors in the ocean is complicated by its fluidity: Phytoplankton, which are the primary photosynthesizers in the ocean, can be mixed into or away from the photic zone and/or experience sharp temperature changes as a result of advection. The nutrient supply is similarly affected. Upwelling and downwelling driven by large-scale winds, as well as local mixing and advection, place strong constraints on the nutrient supply to the surface waters. This complexity hinders a simple projection as to how marine photosynthesis will respond to a warming world.
Driven by the broad pattern of wind-driven upwelling and downwelling, the spatial distribution of nutrients in the ocean is largely characterized by latitudinal differences (10, 11). As such, we focused on the identification of latitudinal trends in chlorophyll a (Chl) concentration (a metric for phytoplankton biomass), a choice also intended to enhance the signal-to-noise ratio in our trend estimates. We aimed to elucidate whether regional changes reported elsewhere (12–15) are reflective of a broader global redistribution in Chl. To that end, we used the 20-year record of Chl from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua satellite (hereafter referred to as MODIS-Aqua). MODIS-Aqua began collecting data in July 2002 and stands as the longest-serving solitary sensor in operation. The latest 2022 Reprocessing version (R2022) released by NASA, which includes instrument calibration updates that address degradation issues, now provides a stable data source for the past two decades. Challenges arise from the inherent characteristics of the Chl product, including a low signal-to-noise ratio and gaps in observations. To mitigate these issues, we first interpolated the Chl data using an algorithm that has recently been shown to improve the time series of global Chl in the open ocean. We then spatially aggregated the data, averaging measurements over latitudinal bands to detect underlying large-scale trends (see methods in the supplementary materials).

Increasing latitudinal disparity in Chl concentration

We start by showing the well-known and distinctive spatial distribution of climatological Chl (Fig. 1, A and B). The elevated Chl (mean of 0.38 mg m−3) in the subpolar regions (40° to 60°) stands in sharp contrast to the relatively low Chl (mean of 0.074 mg m−3) in the oligotrophic gyres of the mid-latitudes (10° to 30°). In the tropics (0° to 10°), characterized by strong upwelling that boosts phytoplankton growth, the mean Chl is again elevated (mean of 0.14 mg m−3). To explore latitudinal trends, we calculated the annual mean Chl of each 2° latitudinal band between 60°S and 80°N from 2003 to 2022 and then used the Sen’s slope estimator to determine trends (methods). We found that Chl has significantly decreased at an average rate of 0.55% year−1 in the northern subtropical region (20°N to 40°N) (Fig. 1C). In contrast, Chl shows increasing trends in both northern and southern subpolar regions at a rate of 0.28% year−1 and 0.44% year−1, respectively. Moreover, consistent with previous studies (16, 17), we found that the Arctic Ocean (66°N to 80°N) has experienced a significant increase in Chl at a rate of 1.99% year−1. Collectively these results indicate a broad pattern whereby Chl is decreasing in the low-Chl waters of the subtropical and tropical regions while increasing in the high-Chl waters at higher latitudes (>40°).
Fig. 1. Global distribution and latitudinal trends of surface Chl at 2° resolution.
(A) Climatological mean Chl between 60°S and 60°N (2003–2022) and north of 60°N (2003–2020). Coastal regions and areas south of 60°S are excluded. (B) Median of the climatological Chl (thick line) and the 10th and 90th percentiles (thin lines) as a function of latitude. (C) Annual Sen’s slope of the climatological Chl with Mann-Kendall (MK) test significance (°P < 0.1, *P < 0.05, **P < 0.01, ***P < 0.001) indicated. Color represents R2 (coefficient of determination) values.
To assess the relative contribution of these latitudinal bands to the total Chl in each hemisphere, we used a Lorenz curve and the corresponding Gini index, which were originally developed for economic analysis (methods). We examined the Northern Hemisphere (NH) and Southern Hemisphere (SH) separately because of the well-known differences in the dynamics that govern the high latitudes in these hemispheres. Given the distinctive environmental conditions in the Arctic Ocean and previous work in this region, we hereafter focused on analyzing the open ocean between 60°S and 60°N [see (16) for Arctic-specific trends]. As seen by the Lorenz curve, in which the 30 latitudinal bands are ranked in ascending order according to their contribution to the cumulative chlorophyll in each hemisphere, the subpolar latitudes (40°N to 60°N) place in the top 10 latitudinal bands in the NH (Fig. 2A), contributing 55.6% to the total. In contrast, the latitudinal bands between 20°N and 30°N fall in the 20th percentile, contributing only 8.1%. In the SH, the latitudinal bands with the largest contribution (28.3%) to the cumulative total are between 40°S and 50°S. They are followed by latitudes between 30°S and 40°S (18.8%), between 50°S and 60°S (18.2%), and 0° and 10°S (15.9%) (Fig. 2C). As seen here, the NH has a greater latitudinal disparity than the SH, mainly because Chl in the NH subpolar region exceeds that in the comparable SH region. This difference is likely mainly attributable to the known iron deficiency that limits phytoplankton biomass (18) in the high nutrient–low chlorophyll Southern Ocean.
Fig. 2. Latitudinal disparity in area-integrated surface Chl concentration.
(A and C) Lorenz curves of climatological Chl area-integrated over 2° latitudinal bands in the Northern (0° to 60°N) and Southern Hemispheres (0° to 60°S) during the 2003–2022 period. Bars represent the cumulative percentage of surface Chl integrated over 2° latitudinal bands, ordered in ascending contribution of Chl to the total. (B and D) Interannual variability of the Gini index from 2003 to 2022, with significant trends (P < 0.05) indicated by an asterisk.
From the Lorenz curve, we next calculated trends in the Gini index of area-integrated Chl over each latitudinal band from 2003 to 2022 for each hemisphere (methods; similar trends are observed with latitudinal averaged Chl, see fig. S1). We find a growing latitudinal disparity in Chl in the NH, as measured by a significant increase of 0.20% year−1 in the Gini index. The significant increase of the Gini index tends to occur in the winter and autumn seasons (fig. S2), indicating a seasonal difference in the latitudinal disparity of Chl. In the SH, the increase is not statistically significant (despite an increase in Chl concentrations in the SH subpolar latitudes). One reason for this difference is that Chl has decreased significantly in the northern subtropical regions, where the relatively low Chl has become lower over the same period, whereas no such trends are detected in the SH. We note that our latitudinal binning masks a myriad of variability in Chl trends at regional and biome scales, with spatial heterogeneity in the magnitude and sign of linear trends, particularly in the southern subtropical regions. Although a local analysis is beyond the scope of our study, contrasting trends at the local level likely explain the absence of trends in certain latitudinal bands (e.g., SH subtropics). For further context, a comparison with recent literature on global ocean color trends that focuses on region is provided in the supplementary materials (table S1).

Relationship between Chl and environmental changes

As a first approximation, we examined the trends of four environmental factors (Fig. 3) believed to critically influence Chl concentrations—sea surface temperature (SST), mixed layer depth (MLD), photosynthetically available radiation (PAR), and wind speed (WS)—and then determined the observed sensitivity of Chl to these factors. A few patterns stand out from the comparison of trends. In the northern subpolar regions (40°N to 60°N), where significant increases in Chl are primarily detected from October to February at a rate of 0.88 ± 0.41% year−1 (Fig. 3A), we note concurrent increases in SST and PAR (Fig. 3, B and D) as well as a shoaling in the MLD (Fig. 3C). In the northern subtropical region (20°N to 40°N), where Chl shows a year-round decreasing trend at a rate of −0.75 ± 0.25% year−1, with significant changes observed in 56.7% of the region (Fig. 3A), SST shows significant increases throughout the year in 79.2% of the grids (Fig. 3B). Finally, in the southern subpolar regions (40°S to 60°S), where Chl has increased significantly in the months of April to August at a rate of 1.24 ± 0.64% year−1, a few concurrent SST trends are also observed (Fig. 3, A and B).
Fig. 3. Long-term trends of variables grouped by month and latitude.
(A to E) Trends for Chl, SST, MLD, PAR, and WS. Each grid in the panels represents an estimated slope of a linear trend of the year-to-year monthly variable at that particular latitudinal band. Asterisks indicate grids with a significant trend. Black grids indicate regions where no data are available.
The observed sensitivity of Chl trends to trends in the four environmental variables suggests that SST is a dominant factor for Chl changes in the subpolar region of both hemispheres and in the subtropics of the NH (Fig. 4). The increase in Chl in the subpolar regions is likely associated with the observed increase in autumn and winter blooms (19, 20), consistent with projected increases in net primary productivity driven by sea ice retreat, shoaling of mixed layers, and a reduction in light limitation (16, 21, 22), all tightly linked to the surface warming observed here. In the NH subtropics, the decreasing Chl trend and concurrent increasing SST trend are supported by in situ observations at the Bermuda Atlantic Time-series site (BATS). A previous study (23) found that rising SST reduces phytoplankton productivity in the oligotrophic ocean, putatively through a reduction in nutrient supply, a result consistent with increased stratification observed in recent years (24). The Southern Hemisphere subtropics do not exhibit a clear sensitivity to any of the variables, likely because the Chl trends here are the weakest across all latitudes (Fig. 3A). Finally, the lack of significant trends in the tropics for all environmental variables (Fig. 3, B to E) precludes any attribution of the decreasing Chl trend observed there (Fig. 4).
Fig. 4. Observed sensitivity of Chl to driving factors.
(A) SST, (B) MLD, (C) PAR, and (D) WS. Circles represent the standardized observed sensitivity (methods) of grids with concurrent significant trends of Chl and driving factors. Bars represent the median observed sensitivity of grids grouped in the same season and particular latitudinal band.
As mentioned above, complex dynamics in the ocean environment complicate the attribution of Chl changes. While our analysis suggests that broadscale SST changes are likely driving latitudinal Chl changes, our results are inconclusive for the three other variables studied here. Regional studies provide additional insights to this global analysis. For example, wind speed emerges as a significant factor in annual Chl variation across both tropical regions and eastern boundary currents (25, 26). In the tropical Indian Ocean, reduced wind speeds have been correlated with increased stratification, which suppresses nutrient upwelling, thus contributing to declining Chl. Conversely, in the California Current System, elevated wind speeds have been found to facilitate upwelling, thus enhancing phytoplankton biomass and fostering a “greening” effect. Modeling studies that incorporate these variables, and others such as turbulent mixing and aerosol deposition (7, 8), are needed to further elucidate the mechanisms driving the latitudinal Chl trends observed here.

Outlook

It remains to be established whether the significant trends over the 20-year record reported here stem from natural variability over the satellite era or rather are driven by a changing climate. Previous studies suggest that satellite time series would need to be ~30 to 40 years in length to distinguish climate-driven Chl trends from internal variability (12, 27, 28). Because variations in Chl reflect both biomass and physiology (6), we cannot attribute the Chl trend to changes in phytoplankton biomass. However, our observations of poleward greening and increasing latitudinal disparity align with 21st-century projections of a sustained decrease in net primary productivity in the low- and mid-latitudes that is coupled with an increase in high-latitude areas (29, 30). Through trophic amplification, the decline in phytoplankton biomass associated with climate warming will have a more pronounced impact on biomass at higher trophic levels (31–33), with a projected decline in fish production and fisheries in the tropics and an increase in the high latitudes (34–36). More than 50% of the global fish catch comes from tropical and subtropical regions, with significant contributions from coastal fisheries (37). Although our study focuses on open ocean waters, any persistent changes in these areas could profoundly affect low- and middle-income nations, such as Pacific Island nations, that rely on fisheries for sustenance and economic development (38, 39). Future investigations should focus on these regions to provide a more comprehensive understanding. In particular, it will be important to investigate how climate change, and climate mitigation through iron fertilization (40), could synergistically affect air-sea CO2 fluxes and exacerbate fisheries inequity.

Acknowledgments

We thank K. Arrigo and G. Van Djiken for sharing the Arctic dataset on chlorophyll concentration. H.Z. thanks X. Kang for sharing insights about statistical methods.

Funding:

M.S.L. and N.C. acknowledge support from the US National Science Foundation (OCE-1948335 and OCE-2123198). M.M. acknowledges support from NASA (IDS-#19-0113) and NSF (OPP-192292 and OCE-2049294).

Author contributions:

Conceptualization: H.Z., M.S.L., N.C.; Methodology: H.Z.; Investigation: H.Z.; Visualization: H.Z.; Funding acquisition: M.S.L., N.C.; Project administration: H.Z., M.S.L., N.C.; Supervision: M.S.L., N.C.; Writing – original draft: H.Z.; Writing – review & editing: H.Z., M.S.L., N.C.; Data curation: H.Z., M.M.

Competing interests:

The authors declare that they have no competing interests.

Data and materials availability:

Daily 4-km standard MODIS-Aqua datasets on Chl, SST, and PAR are available from https://oceancolor.gsfc.nasa.gov/l3/. Monthly 0.125° sea surface wind speeds are available from https://data.marine.copernicus.eu/product/WIND_GLO_PHY_L4_MY_012_006/services. DINEOF+ code used for data interpolation can be found in Zenodo (41).

License information:

Copyright © 2025 the authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original US government works. https://www.science.org/about/science-licenses-journal-article-reuse

Supplementary Materials

This PDF file includes:

Materials and Methods
Supplementary Text
Figs. S1 and S2
Table S1
References (42–54)

References and Notes

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