Coastal Regions Of China Research Articles

Tree-Ring-Based Hydroclimatic Variability in the Southeast Coastal Region of China

Tree-Ring-Based Hydroclimatic Variability in the Southeast Coastal Region of China

Analysis on the relationship between coastal tourism and marine pollution: an empirical analysis of China’s 11 coastal regions

IntroductionCoastal tourism has become an important pillar of economic growth in China's coastal regions, yet no quantitative research has analyzed the relationship between coastal tourism and marine pollution.MethodsThis study, within a multivariate framework, comprehensively examines the impact of coastal tourism on marine pollution by employing various econometric techniques and focusing on four different types of marine pollutant discharges: chemical oxygen demand (COD), petroleum (PET), ammonia nitrogen (NHN), and total phosphorus (TP).Results and discussionPanel cointegration tests confirm a long-term relationship between coastal tourism and these four types of marine pollutant discharges. In the long run, coastal tourism has a significantly negative impact on COD, NHN, and TP. The results of Pooled Mean Group (PMG), Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) estimators show that for every 1% increase in coastal tourism revenue (TOUR), COD decreases by 0.734%, 0.536%, and 0.952% respectively; NHN decreases by 0.746%, 0.340%, and 1.633%; and TP decreases by 5.169%, 0.899%, and 0.334% respectively. However, the impact of coastal tourism on PET is not significant. The Dumitrescu-Hurlin (D-H) panel causality test results indicate different causality patterns between coastal tourism and various marine pollutant discharges. Specifically, there is a bidirectional causality between coastal tourism and COD, NHN, and a unidirectional causality between coastal tourism and PET, TP. Moreover, heterogeneity analysis reveals that coastal tourism does not significantly reduce all marine pollutant discharges in low-and middle-income coastal regions. Furthermore, compared to the central and southern coastal regions, the coastal tourism of northern regions has not significantly reduced marine pollution. This study can provide policymakers with references for developing coastal tourism and reducing marine pollutant discharges.

Nutritional and Phytochemical Composition and Antioxidant Activity of Edible Stems of Smooth Cordgrass (Spartina alterniflora)

Smooth cordgrass (Spartina alterniflora) is a native salt marsh plant along the Atlantic coast but has become an invasive species in coastal regions in China, as well as other areas. Utilizing it for resources has become a control measure in reducing the spread of S. alterniflora. This study assesses the nutritional and phytochemical properties of the edible stems of S. alterniflora collected from three locations in Fujian province, China. The tender stems of S. alterniflora exhibit a rich nutritional profile, with high levels of protein, carbohydrates, and fats, and significant amounts of essential vitamins, minerals, and antioxidants, indicating their potential as a nutritious addition to the diet or forage. In addition, the levels of potential contaminants, including nitrate, nitrite, cadmium, lead, and chromium, are below the established safe thresholds for consumption. Our results provide valuable information for the sustainable utilization of S. alterniflora resources and will contribute to the integrated control of S. alterniflora.

Combined Effects of Fishing and Environment on the Growth of Larimichthys polyactis in Coastal Regions of China

In fisheries’ stock assessments, the concept of “growth plasticity”—the ability of organisms to modulate their growth rates in response to environmental conditions—has gained attention in recent years. Historically, the impacts of fishing activities and environmental fluctuations were considered separately, while their combined effects have recently come into focus. This study collected 834 adult small yellow croakers (Larimichthys polyactis) from the northern Yellow Sea, the central Yellow Sea, the southern Yellow Sea, and the northern East Sea by trawling during 2020–2021. Using otolith increments as a proxy for annual somatic growth, the study reconstructed otolith chronologies during 2015–2020 for these four stocks. The results of the mixed-effects modeling suggested that temperature during spawning and previous overwintering seasons had comparable importance for the annual growth of small yellow croakers, with higher temperature promoting growth. The growth of small yellow croakers was also found to be correlated with ENSO events, with a lag of 1 to 2 years. A further investigation into combined effects revealed that higher fishing pressure might inhibit the small yellow croaker’s response to favorable environmental conditions. Furthermore, considering the potential differences in growth plasticity among stocks, an analysis was conducted on the spatial variations in growth response to these factors. The analysis revealed that, compared to the stocks in the Yellow Sea, the stock from the East China Sea could exhibit higher growth, superior adaptability to temperature, and a distinctive response to fishing pressure. In conclusion, the present study, while primarily focusing on temperature, preliminarily analyzed the combined effects of fishing and environment and underscored the differences in growth plasticity between stocks in the Yellow Sea and the East China Sea. Despite the limited factors analyzed in this study, it suggests a direction for future studies, highlighting the necessity to include more environmental factors, and even population factors (e.g., the biomass of preys), for a more comprehensive understanding of the combined effects. Based on the observed differences between the two potential subpopulations, this study also provides new insights for the management of the small yellow croaker based on metapopulation dynamics.

Decade-long historical shifts in legacy and emerging per- and polyfluoroalkyl substances (PFAS) in surface sediments of China's marginal seas: Ongoing production and ecological risks

Since the addition of perfluorooctane sulfonate (PFOS) to the Stockholm Convention in 2009, it became imperative to reassess the distribution and ecological risk of per- and polyfluoroalkyl substances (PFAS) in coastal sediments over the past decade as sediment records the history of pollutants from human activities. To achieve this, sediments were collected in 2009 and 2021 from China's coastal regions. Despite the consistent geographical pattern where the highest concentrations of ∑PFAS were found in the Yellow Sea, temporal changes have emerged. During the studied period, ∑PFAS levels experienced an increase in the East China Sea while concurrently witnessing a decrease in the South China Sea. Of significance, emerging PFAS compounds displayed not only rising concentrations but also a broader array, pointing towards their intensified production and utilization within China. Alarmingly, PFOS levels in sediments taken from the East China Sea maintained a consistently high ecological risk status over the last ten years. Significant correlations were found between long-chain PFAS and organic carbon content. Comparisons between datasets from 2009 to 2021 uncovered a shifting ecological risk landscape, with heightened concerns for PFOA in the East China Sea, while PFOS-associated risks appeared to diminish in the South China Sea—potentially reflecting the transition to alternative PFAS chemicals. The research reinforces the importance of continuous monitoring and emphasizes the urgent necessity for deeper exploration into the environmental implications and hazards posed by emerging PFAS.

Spatio-temporal dynamics of net primary productivity and the economic value of Spartina alterniflora in the coastal regions of China

This study employs an improved Carnegie–Ames–Stanford Approach (CASA) model to calculate the Net Primary Productivity (NPP) of Spartina alterniflora (SA) and various other land use/land cover types (LULC) across coastal China over multiple years. The research aims to provide significant theoretical and practical insights into carbon sink research in coastal zones, sustainable development, and resource management. Key findings include identifying the first εmax value of 2.219 g C/MJ for SA, addressing a critical data gap in CASA modeling research on invasive plants. SA's NPP exhibited higher values in Shanghai and Zhejiang due to factors such as genetic diversity, invasion duration, and tidal dynamics. In contrast, other LULC exhibited higher NPP values in southern and inland regions, characterized by greater vegetation cover and favorable growing conditions. In 2020, SA and other LULC sequestered 16.352 kt C and 0.821*106 kt C, respectively. From 2000 to 2020, the average annual NPP and total carbon storage of SA and other LULC increased significantly, primarily driven by Shanghai and deciduous needleleaf forests, respectively. Seasonal NPP trends followed summer> spring> autumn> winter, influenced by climate conditions and plant life activities. Economic assessments in 2020 estimated SA's carbon storage value at RMB0.409 billion (Market Value method) or RMB5.562 billion (Carbon Tax method), with RMB2.054 billion attributed to oxygen release values, underscoring its economic and ecological potential. Among other LULC, evergreen broadleaf forests showed the highest carbon storage value (RMB183.463 billion). The study emphasizes the critical role of all LULC in carbon storage and oxygen release, advocating for targeted conservation and land management strategies. It suggests that managing SA should balance stringent control in high-risk areas, lenient measures in low-risk areas, eradication of scattered populations, and maximizing ecological benefits in retention areas, with continuous monitoring and adaptive management strategies to balance conservation and development efforts.

The evolution of habitat quality and its response to land use change in the coastal China, 1985–2020

The coastal region of China is a typical area characterized by a developed economy, yet it faces prominent resource and environmental issues, and it is of great significance to quantitatively assess the ecological effects resulting from rapid urbanization and industrialization. Based on the land use data from 1985 to 2020, and the InVEST modeling and relevant spatial data sources, the paper analyzed the spatial and temporal changes in land use cover and habitat quality in the coastal China over the past 30 years. The results show that: 1) land use cover in the coastal China has changed significantly during the study period, with the area of cultivated land continuing to decrease and construction land expanding; 2) the trend of habitat quality degradation in was obvious, with the area of low-value habitat quality continuing to increase. Spatially, they were mainly located in the three major urban agglomerations undergoing rapid industrialization and urbanization; 3) The average degradation of habitats increased significantly between 1990 and 2000 and 2010–2020. The rate of change in areas with different degradation levels from 1990 to 2000 was higher than in other periods. The low-value areas of habitat degradation are mainly located in hilly and mountainous regions. 4) The transfer of habitat grades was generally characterized by a shift from high grade to low grade. This trend of conversion was due to the large-scale occupation of cultivated land by construction land and the long-term encroachment of ecological land by cultivated land. For future development, it is recommended to improve the land use regulation system based on the principles of sustainable development, with a particular focus on habitat protection. Additionally, efforts should be made to strengthen the development of ecological agriculture, carry out ecological protection and restoration, and improve the mechanisms for coordinating land and sea management.

Precipitable water vapor retrieval for rainfall forecasting using BDS-3 PPP-B2b signal in the coastal region of China

Abstract Currently, rainfall cannot be accurately forecast because of poor network communication at the ocean. The advantage of the BeiDou Global Navigation Satellite System (BDS-3) precise point positioning (PPP-B2b) signal, which does not rely on network communication to receive data, is that it can provide precipitable water vapor (PWV) retrieval application services for the open seas in eastern China, where the communication system presents difficulties. In this study, data from stations in the coastal region of China were used to establish a rainfall forecasting method for monitoring extreme weather on the sea. First, the service performance of PPP-B2b was explored. Then, based on 17 Chinese coastal stations, the PWV accuracy was evaluated. Finally, based on an analysis of the relationship between PWV and actual rainfall, a threshold rainfall forecasting method based on a sliding window was constructed. The experimental results show that the PWV accuracy varies slightly depending on the geographic location, in which the mean absolute error in the North Sea region is the smallest (2.1 mm), that of the South China Sea region is the largest (2.60 mm), and that of the East China Sea region is in the middle (2.48 mm). The optimal predictors of the constructed 12 h sliding-window threshold rainfall prediction method are a PWV maximum of 49 mm, PWV increase of 5 mm, and PWV increase rate of 1.2 mm h−1. The prediction results can reach a critical success index value of more than 45%, indicating high prediction accuracy and applicability to the coastal region of China during the same period.

Spatial and temporal evolution of cost-competitive offshore hydrogen in China: A techno-economic analysis

China's ascendancy as the premier offshore wind power developer and principal hydrogen consumer underscores the expanding demand for green hydrogen, which is vital to its decarbonization trajectory. Offshore wind power is recognized as a crucial pathway for the future supply of green hydrogen, and further exploration of its development potential and economic viability can provide important insights for optimizing resource allocation, reducing greenhouse gas emissions, and ensuring energy security. This study analyzed the potential and regional economic differences in offshore wind energy for hydrogen production in China's coastal regions by considering the temporal evolution of techno-economic parameters and the spatial and temporal characteristics of geospatial resources. The findings suggest a potential hydrogen production capacity of 434–493 Mt/year in Chinese waters, with the average levelized cost of hydrogen projected to decline from 7.13 $/kgH2 in 2025 to 3.77 $/kgH2 by 2050, which is attributed to advancements in wind turbine technology and cost reductions in components. By 2030, hydrogen production of 40 Mt/year is expected to be cost-competitive, especially in Liaoning and Hebei, with projections indicating an increase to 435 Mt/year by 2050. Notably, floating wind power, contributing to 54 % of China's total offshore hydrogen capacity, holds significant promise for provinces such as Guangdong, Hainan, and Zhejiang. The study conclude that China's offshore hydrogen production has significant potential, with cost-competitive production achievable by 2030 and broad economic viability anticipated by 2050.

The inversion of arid-coastal cultivated soil salinity using explainable machine learning and Sentinel-2

The escalating salinization of cultivated soil poses a significant threat to the ecological environment. It is imperative to establish a monitoring system and mitigate the spread of salinization in arid and coastal areas through remote sensing, incorporating high-precision cross-regional models for soil salt content inversion. This study focuses on typical saline-alkali soils in arid and coastal regions of China. Using Sentinel 2 data (including 6 bands and 27 spectral indices), along with soil texture, moisture content, temperature, precipitation, and digital elevation model (DEM) data to establish an arid-coastal salinity inversion model. Variable selection methods such as pearson correlation coefficient (PCC), variable importance in projection (VIP), gray relational analysis (GRA), and gradient boosting machine (GBM) were used, while using 9 models including adaptive boosting (Adaboost), extremely randomized trees (ERT), and light gradient boosting machine (LightGBM). The best model was further elucidated using the Shapley additive explanations method. Results indicate that the common sensitive characteristic variables of arid-coastal areas were spectral indices and soil properties in PCC, the spectral variable bands and indices in VIP, and all variables in GRA and GBM. The best inversion model GBM-ERT (R2 = 0.91, RMSE = 1.06) in arid areas exhibited higher accuracy than the best inversion model GBM-Adaboost (R2 = 0.77, RMSE = 1.74) in coastal areas. The arid-coastal inversion model PCC-LightGBM demonstrated the best inversion performance (R2 = 0.64, RMSE = 2.29) and simulation performance in arid (R2 = 0.67) and coastal areas (R2 = 0.63). Dead fuel index (DFI) had the most significant impact on model prediction (0.89) and the second ratio index (RI2) contributed the highest relative importance (18 %) to the model. Our analysis indicates that the arid-coastal model of PCC-LightGBM established using common characteristic variables, can effectively monitor large-scale soil salinity.

Regime shifts in the thermal dynamics of offshore China due to accelerated global warming

Thermal dynamics play a pivotal role in offshore ecosystems, influencing a multitude of ecological and biogeochemical processes. Assessing how water temperature (WT) responds to climate change is vital for the sustainable development of marine ecosystems. Despite the scarcity of long-term sea surface temperature (SST) data, this study reconstructs SSTs from 1973 to 2020 in China's coastal zones using the data-driven Air2water model. A probabilistic approach was applied to investigate the joint dependency structures between air temperature (AT) and WT at offshore oceanic stations in China, focusing on variations during periods of decelerated and accelerated warming. The results indicate that the Air2water model performs well in reconstructing SSTs of the coastal zone of China. Furthermore, the joint probability of AT-WT events, characterized by bimodal distributions, tends to increase during accelerated warming. This suggests intensified extreme SST events in the coastal zone of China due to global warming, with the significant warming primarily related with regional oscillations, atmospheric dynamics, and the complex temperature trends in the regional marine environment. These findings highlight the escalating impact of global warming on marine ecosystems in China's coastal regions, underscoring the urgency of developing adaptive strategies to mitigate these effects.

Indo-Pacific humpback dolphins face extirpation in Shantou waters

The Indo-Pacific humpback dolphin is an inshore species occurring in productive estuarine and coastal areas of the Indo-Pacific. Since the end of the 20th century, coastal region of China has experienced tremendous economic expansion, exposing this dolphin species to a wide range of human activities. Despite frequent voices of concern in the past three decades calling for research and conservation attention, protracted debates were not followed by constructive conservation actions due to the lack of or inconsistent use of demographic data. The current study examined 13-year sighting and photo-identification data collected for a small and little known population of humpback dolphins off the coast of Shantou (ST) in the northern South China Sea. Compared to conspecific populations inhabiting large or medium-sized estuarine systems, the ST dolphins have much larger home range (mean = 181.3 km2, S.D. = 87.7) which, however, has been shrinking recently due to coastal reclamations and expanding aquaculture farming. Although at least two dolphin births were recorded between 2010 and 2022, there was no successful recruitment of a non-calf individual. Meanwhile, the population shrank by 29.4 %, with the most updated population size of only 12 individuals, estimated in 2022. Based on the current demographic trend, we predict that the ST humpback dolphins will be extirpated within one or two decades. Furthermore, as the dolphins are aging and becoming less reproductively viable, there is little chance to reverse the declining trend even without additional stressors. Moreover, we noticed prevailing vertebral column deformities amongst the ST dolphins, possibly a sign of inbreeding depression of a small population. The present study exemplifies a typical case of a small, isolated and locally endangered dolphin population that is approaching local extinction without efficient monitoring program and conservation action. We emphasize that without solution-based research and efficient conservation planning, other humpback dolphin populations in China might soon follow in the steps of ST humpback dolphins.

Convection-permitting regional climate simulations over coastal regions in China

Convection-permitting regional climate simulations over coastal regions in China

Evaluation and optimization of mariculture ecological efficiency under technological heterogeneity — New evidence from China's coastal regions

This paper combines the meta-frontier analysis framework with the SBM-DEA model based on undesirable outputs to thoroughly reveal the mechanism of ecological efficiency differences in China's mariculture. This paper accurately identifies the weak links in ecological efficiency in various regions, thereby achieving a precise evaluation of mariculture ecological efficiency within the framework of technological heterogeneity. The results indicate that under the meta-frontier, the annual average ecological efficiency of mariculture in coastal areas of China during the sample period is 0.586, with a 41.4 % efficiency improvement space. However, under the group frontier, the annual average ecological efficiency is 0.783. The MEI in the BR economic zone and the YRD economic zone respectively stem from MI and TI, whereas in the PRD economic zone, the difference in the proportions of management inefficiency and technological inefficiency is not significant. Finally, this paper proposes four types of improvement paths.

Temporal-spatial change of China's coastal ecosystem resilience and driving factors analysis

Coastal regions, with both marine and terrestrial characteristics, play an important role in the global ecosystem and their ecological and environmental conditions are of global concern. A better understanding of regional differences in coastal resilience and its drivers facilitates ecosystem management and restoration. In this study, the level of ecological resilience of China's coastal regions from 2000 to 2020 was assessed using a three-pronged resilience assessment framework of resistance, adaptability and resilience, and the key drivers of ecological resilience were identified using geographic probes and geographically weighted regression analyses. The results of the study indicate that: (1) the ecological resilience of China's coastal region is spatially distributed as high resilience in the southern part of the study area and low resilience in the northern part of the study area; (2) the areas with higher rates of change are distributed in the Bohai Bay, Yangtze River estuary and Pearl River estuary; (3) in terms of drivers, economic development factors and environmental protection measures have a relatively large impact on changes in resilience and vary from region to region. The case study provides a systematic and quantitative framework for assessing the resilience of integrated coastal management and sustainable development.

Research on the Coupled Coordination and Prediction of Technological Innovation and Ecological Environment Development in Coastal Regions of China

Scientific and technological innovation and ecological progress are important forces for China’s high-quality development. Nevertheless, the current body of research seldom explores the mutual dependence and evolutionary patterns of the two regional systems when considering both historical and future perspectives. This paper aims to enhance the current theoretical research framework by focusing on the coastal region of China. It analyzes and predicts the co-evolution and space–time distribution process of two systems by constructing a coupled model and a gray prediction model. The results show the following: (1) the coupling and coordinated development level of the two coastal systems has basically reached the stage of good coupling and coordinated development, and the level has increased, but the gap has gradually increased, and Jiangsu and Guangdong have reached the leading level; (2) the spatial distribution in coastal areas is uneven, showing a convex spatial pattern of “high in the middle and low at both ends”; (3) during the forecast period, the overall coupling and coordination level of the two systems will continue to improve, but individual cities still cannot jump out of the development state of slow development processes. With the aim of fostering the harmonious growth of both systems at both regional and national levels, this paper proposes practical recommendations concerning the establishment of a sustainable interaction mechanism, the evolution of the industrial structure towards ecological sustainability, and the economic contribution to scientific and technological innovation. Furthermore, this article serves as a valuable reference for advancing the sustainable development of other nations.

The Effects of Upper-Ocean Sea Temperatures and Salinity on the Intensity Change of Tropical Cyclones over the Western North Pacific and the South China Sea: An Observational Study

With increasing air and sea temperatures, the thermodynamic environments over the oceans are becoming more favourable for the development of intense tropical cyclones (TCs) with rapid intensification (RI). The South China coastal region consists of highly densely populated cities, especially over the Pearl River Delta (PRD) region. Intense TCs maintaining their strength or the RI of TCs close to the coastal region can present substantial forecasting challenges and have significant potential impacts on the coastal population. This study investigates the effect of sea-surface and sub-surface temperatures and salinity on the intensification of five TCs, namely Super Typhoon Hato in 2017, Super Typhoon Mangkhut in 2018, and Typhoon Talim, Super Typhoon Saola, and Severe Typhoon Koinu in 2023, which have significantly affected the South China coastal region and triggered high TC warning signals in Hong Kong in the past few years. This analysis utilised the Hong Kong Observatory’s TC best-track and intensity data, along with sea temperature and salinity profiles generated using the China Ocean ReAnalysis version 2 (CORA2) product from the National Marine Data and Information Service of China. It was found that high sea-surface temperatures (SST) of 30 °C or above for a depth of about 20 m, low sea-surface salinity (SSS) levels of 33.8 psu or below for a depth of at least 20 m, and strong salinity stratification of at least 0.6 psu per 100 m depth might offer useful hints for predicting the RI of TCs over the western North Pacific and the South China Sea (SCS) in operational forecasting, while noting other contributing environmental factors and synoptic flow patterns conducive to RI. This study represents the first documentation of sub-surface salinity’s impact on some intense TCs traversing the SCS during 2017–2023 based on an observational study. Our aim is to supplement operational techniques for forecasting RI with some quantitative guidance based on upper-level ocean observations of temperatures and salinity, on top of well-known but more rapidly changing dynamical factors like low-level convergence, weak vertical wind shear, and upper-level divergent outflow, as forecasted with numerical weather prediction models. This study will also encourage further research to refine the analysis of quantitative contributions from different RI factors and the identification of essential features for developing AI models as one way to improve the forecasting of TC RI before the TC makes landfall near the PRD, with due consideration given to the effect of freshwater river discharge from the Pearl River.

Navigating the tides of change: The local dynamics of China’s marine economic policy

Local governments are playing a key role in policy formulation and implementation because of the shifting tide during China’s marine economic expansion. This study employs all-encompassing methodologies, including policy quantification, policy networks, and topic modeling, to analyze 4241 marine economic policy texts from 11 coastal regions in China. It reveals the spatiotemporal evolution characteristics of local government marine economic policies (LGMEPs). The main results show that: (1) Overall, since 1956, the number and power of LGMEPs have continued to grow and emerge in four stages: initiation, shallow exploration, rapid development, and optimized adjustment. Significant differences can be found in the marine economy policies among regions. Some eastern and southern regions revealed more quantity and power in their policies. (2) The number of institutions involved in marine economy policy formulation has been increasing, and complex and close joint issuance networks have been formed. Only the regions of Shanghai and Hainan formed coordinated joint issuance networks, while other regions lacked either core institutional leadership or collaborative institutional links. (3) Marine economy policy topics have shifted from traditional marine industry to safe operations, modern marine industries, and marine ecological environmental protection. The resource base and development goals of each region led to marked variations in marine economic policy topics. The findings here provide local governments with a reference for crafting marine economic strategies and policies.

A Study on The Heterogeneity of Tropical Cyclone Vulnerability Functions in Different Provinces along The Coastal Areas in China

Coastal regions in China have long been plagued by tropical cyclone (TC) disasters, and TC vulnerability function for disaster-bearing bodies is a widely used quantitative vulnerability assessment method in face of TCs. TC vulnerability functions may vary across different regions due to geographical heterogeneity, hindering this method from universal use. This study systematically collects a 15-year-long dataset from 12 provinces in China. Six alternative TC vulnerability functions are comprehensively investigated by province, and a library of the optimal TC vulnerability functions for three kinds of disaster-bearing bodies, that is, economic, population, and crop in different provinces is developed. The heterogeneity of TC vulnerability in different provinces along the coastal areas in China is then thoroughly analyzed. This paper provides a deeper understanding of the spatial heterogeneity characteristics of disasters and disaster-bearing bodies, and provides good references for local departments to carry out more targeted disaster prevention and reduction work.

Investigating Potential Ecological Benefits From Mariculture

AbstractMariculture has been gradually regarded as an important solution to the global food production crisis. Increasing scientific evidence reveals that mariculture can provide a large number of ecologic benefits, in accordance with several United Nations sustainable development goals. However, previous studies mostly focused on the negative impacts of mariculture, which may impede its increased production. Here, based on Emergy Accounting (EMA), we propose a comprehensive “Multiple Inputs‐Ecosystem Service Multifunctionality‐Multiple Environmental Impacts” (MI‐ESM‐MEI) evaluation framework, trying to describe mariculture's overall environmental performances beyond just limiting to the production of seafoods. As the world's largest mariculture producer, China is taken as an example for evaluation. Our results show that both cultured species and cultivation patterns determine the environmental performance of mariculture: seaweed‐raft, shellfish‐raft, shellfish‐hanging cage, shellfish‐bottom sowing and others‐bottom sowing mariculture could be more influential in environmental support. By identifying priority areas for offshore mariculture development, ecological benefits can be significantly improved using about 27% of China's territorial sea area. At present, mariculture in Liaoning, Shandong, Jiangsu, and Zhejiang performs better than that in other regions. Under the condition of recognizing nonnegligible ecological benefits of mariculture, additional improvements for more sustainable development are urgently needed. In addition, mariculture activities especially seaweed mariculture can help solve water contamination problem and alleviate the effects of eutrophication on coastal ecosystems. For most China coastal regions, if integrated multi‐trophic aquaculture (IMTA) mode can be promoted, the ecological burden of mariculture can be reduced and even converted into ecological benefit.