In recent decades, there has been growing concern regarding the effects of human activities on the coastal nutrient cycle. However, interannual variations in the coastal nutrient cycle in response to anthropogenic nutrient input have rarely been quantified. In this study, a hydrodynamic-ecological model capable of describing the nitrogen and phosphorus cycles was used to analyze interannual variations in the nutrient cycle in the central Bohai Sea, a typical semi-enclosed sea in the Northwest Pacific. The results showed an increasing trend of dissolved inorganic nitrogen and particulate nitrogen from 1998 to 2017, whereas different forms of phosphorus showed no obvious interannual variations. The annual nutrient budgets were also quantitatively estimated from 1998 to 2017. This indicates that atmospheric nitrogen deposition plays an important role in interannual variations in the nitrogen cycle. A large amount of nitrogen from anthropogenic inputs was mainly removed by sedimentation processes instead of increasing the standing stock of nitrogen in the sea. With the reduction of anthropogenic inputs, the model showed that a variety of forms of nitrogen concentration decreased linearly, whereas phosphorus concentration increased slightly. Therefore, although environmental governance can effectively alleviate water eutrophication, it is necessary to avoid the situation where the dissolved inorganic nitrogen concentration in the sea becomes too low for phytoplankton to grow, which may determine the primary productivity and eventually affect fishery resources.
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http://dx.doi.org/10.1016/j.chemosphere.2022.137620 | DOI Listing |
Sci Total Environ
January 2025
Guangzhou Huadu district drainage management center, Guangzhou 510800, China.
Rapid urbanization has significantly altered surface landscape configurations, leading to complex urban climates. While much attention has been focused on impervious surfaces' impact on extreme precipitation, a critical gap remains in understanding how various 2D urban landscape components influence extreme precipitation across different durations. Through an analysis of the non-stationarity and spatiotemporal variations in extreme precipitation across the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 1990 to 2020, we constructed the non-stationary Generalized Additive Models for Location Scale and Shape (GAMLSS) model by introducing six urban landscape structural metrics as explanatory variables for each of the 27 meteorological stations in the GBA.
View Article and Find Full Text PDFEcology
January 2025
Smithsonian Tropical Research Institute, Balboa, Republic of Panama.
Forests sequester a substantial portion of anthropogenic carbon emissions. Many open questions concern how. We address two of these questions.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
CSIR-National Institute of Oceanography, Dona Paula, Goa 403004, India.
Coastal deoxygenation impacts phytoplankton communities crucial for marine productivity. The inter- and intra-annual variability in phytoplankton communities at a shallow (27 m) station over the Western Indian Shelf (CaTS site, off Goa) during deoxygenation events of the late southwest monsoon (LSWM September-October) were studied from 2020 to 2023. The water column (0-27 m depth) experienced seasonal hypoxia/anoxia at subsurface depths (0-1.
View Article and Find Full Text PDFAm J Trop Med Hyg
January 2025
Division of Vector Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado.
Plague is a rare, potentially fatal flea-borne zoonosis endemic in the western United States. A previous model described interannual variation in human cases based on temperature and lagged precipitation. We recreated this model in northeastern Arizona (1960-1997) to evaluate its capacity to predict recent cases (1998-2022).
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
State Key Laboratory of Marine Resources Utilization in South China Sea, School of Marine Science and Engineering, Hainan University, Haikou 570228, China.
In response to the 2023 "Action Plan for Methane Emission Control" in China, which mandates precise methane (CH) emission accounting, we developed a dynamic model to estimate CH emissions from fossil-fuel and food systems in China for the period 1990-2020. We also analyzed their socioeconomic drivers through the Logarithmic Mean Divisia Index (LMDI) model. Our analysis revealed an accelerated emission increase (850.
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