Identification of Green Tide Decomposition Regions in the Yellow Sea, China: Based on Time-Series Remote Sensing Data DOI Creative Commons
Guangzong Zhang, Yufang He,

Lifeng Niu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4794 - 4794

Published: Dec. 23, 2024

Approximately 1 million tons of green tides decompose naturally in the Yellow Sea China every year, releasing large quantities nutrients that disrupt marine ecological balance and cause significant environmental consequences. Currently, identification areas affected by primarily relies on certain methods, such as ground sampling biochemical analysis, which limit ability to quickly dynamically identify decomposition regions at spatial temporal scales. While multi-source remote sensing data can monitor extent tides, accurately identifying algal remains a challenge. Therefore, satellite were integrated with key parameters, carbon-to-nitrogen ratio (C/N), develop method for tide (DRIM). The DRIM shows high accuracy areas, validated through regional repetition rates UAV measurements. Results indicate annual C/N threshold is 1.2. identified primary from 2015 2020, concentrated mainly southeastern region Shandong Peninsula, covering an area approximately 1909.4 km2. In 2015, 2016, 2017, largest, average duration 35 days. Our provides more detailed classification dissipation phase, offering reliable scientific support accurate monitoring management disasters.

Language: Английский

A comprehensive review of remote sensing techniques for monitoring Ulva prolifera green tides DOI Creative Commons
Xiaomeng Geng, Huiru Li, Le Wang

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 28, 2025

In recent years, Ulva prolifera green tide, as a large-scale marine ecological phenomenon, has occurred frequently in coastal areas such the Yellow Sea and East China Sea, significantly affecting ecosystems fishery resources. With continuous advancement of remote sensing technologies, these technologies have become indispensable tools for monitoring tides. This review provides comprehensive overview advances band indices detecting tides, including spatiotemporal distribution analysis, area biomass estimation, drift trajectory modeling, investigations their driving mechanisms. Additionally, it identifies limitations unresolved challenges current approaches, constraints on data resolution, algorithmic biases, environmental variability. The potential integrating multi-source with parameters deep learning techniques is discussed, emphasizing roles improving accuracy reliability predicting aims to guide future research efforts technological innovations this field.

Language: Английский

Citations

1

Effects of photoperiod on the growth and physiological responses in Ulva prolifera under constant and diurnal temperature difference conditions DOI
Yahe Li,

Jianan Jiang,

Ruihong Zhang

et al.

Marine Environmental Research, Journal Year: 2024, Volume and Issue: 197, P. 106477 - 106477

Published: March 27, 2024

Language: Английский

Citations

5

Facilitation cascades across space: Monitoring estuarine foundation species from satellites to the microscope DOI Creative Commons
Ken Joseph E. Clemente, Mads S. Thomsen

Ecosphere, Journal Year: 2024, Volume and Issue: 15(4)

Published: April 1, 2024

Abstract Estuaries are productive ecosystems that vulnerable to human impacts and environmental disturbances. often inhabited by foundation species facilitate other organisms creating modifying habitats. However, spatiotemporal variability underpinning drivers of facilitation from estuarine poorly studied, especially in the context monitoring conservation. Here, we combined analyses satellite, drone, camera images, close‐up field sampling quadrats individuals, laboratory microscopy, quantify co‐occurrences between cockle Austrovenus stutchburyi green macroalga Ulva spp., their associated invertebrate communities, across spatial resolutions gradients a New Zealand estuary. We found higher abundance winter at site near ocean. Furthermore, was, space time, attached , either live or dead shells, suggesting hierarchy primary (cockle) secondary (macroalgae) species. Finally, provided better habitat for mobile invertebrates than thereby increased diversity through density‐dependent cascade, which also was consistent time. Overall, our study showed cascades can be indirectly inferred monitored remote sensing using supplementary imaging methods, integration data scales allows researchers understand consequences These insights may aid development efficient strategies ultimately improve management ecosystems.

Language: Английский

Citations

4

Strong Interannual Variation of Green Tides in the Southern Yellow Sea: Crucial Factors and Management Strategies DOI
Yifan Li, Hui‐Xia Geng, Xin Hong

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Spatiotemporal dynamics and multidimensional drivers of laver aquaculture in Haizhou Bay: insights from U-net-based remote sensing monitoring DOI Creative Commons
Xue Li, Hong S. He, Lizhen Wu

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: March 28, 2025

The ecological impacts of expanding nearshore aquaculture demand accurate monitoring and a mechanistic understanding underlying drivers. This study employed Landsat remote sensing images spanning 2000 to 2023 U-Net deep learning model extract spatiotemporal patterns laver in Haizhou Bay, China, while also investigating the natural, technological, socioeconomic factors influencing its growth. Key findings include: achieved an overall accuracy approximately 98.9% F 1 score around 0.887, significantly outperforming traditional classification methods (MLE, SVM, NN) by effectively reducing spectral confusion. area followed “growth-peak-decline” pattern, peaking 2018 at 10,872.45 hm², with strong correlation local government data. Among natural factors, only 2-meter temperature showed significant positive expansion, other like sea surface wind speed had minimal impact, suggesting that region’s environmental stability supports large-scale production. Technological advancements, such as deep-sea farming shellfish-algae intercropping, contributed industry growth, policy changes after 2019 resulted reduction area. Economic interactions played central role spatial restructuring, GDP positively correlating expansion during growth phase (2000-2018), but negatively decoupling adjustment (2019-2023). research provides comprehensive framework for sustainable management coastal integrating data analysis multiple driving forces.

Language: Английский

Citations

0

Strong interannual variation of green tides in the southern Yellow Sea: Crucial factors and implications on management strategies DOI

Yifan Li,

Hui-Xia Geng, Xin Hong

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 216, P. 117989 - 117989

Published: April 21, 2025

Language: Английский

Citations

0

Exploring the Green Tide Transport Mechanisms and Evaluating Leeway Coefficient Estimation via Moderate-Resolution Geostationary Images DOI Creative Commons
Menghao Ji, Xin Dou,

Chengyi Zhao

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 2934 - 2934

Published: Aug. 10, 2024

The recurring occurrence of green tides as an ecological disaster has been reported annually in the Yellow Sea. While remote sensing technology effectively tracks scale, extent, and duration tide outbreaks, there is limited research on underlying driving mechanisms drift transport determination leeway coefficient. This study investigates mechanism evaluates feasibility estimating coefficient by analyzing velocities obtained from Geostationary Ocean Color Imager-II (GOCI-II) images using maximum cross-correlation (MCC) technique method across various time intervals alongside ocean current wind speed data. results reveal following: (1) Significant spatial variations movement, with a distinct boundary at 34°40′N. (2) Short-term primarily influenced tidal forces, while currents, especially combined Ekman geostrophic component, predominantly govern net transport. (3) Compared to 1, 3, 7 h intervals, 25 interval feasible for moderate-resolution geostationary images, yielding values consistent previous studies. offers new insights into exploring through sensing-driven velocity.

Language: Английский

Citations

3

High-light pronounced the effects of stocking density on photosynthesis and nutrients uptake of the bloom-forming green alga, Ulva linza DOI Creative Commons

Menglin Bao,

Qi Zhang, Zihan Xu

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: July 19, 2024

In recent years, the periodic outbreak of green tides in coastal areas China, caused by combined effects environmental changes and human activities, has been attracting extensive attention due to serious negative impacts on marine ecosystem. study, samples Ulva linza , a tide species, were cultivated under two light intensities (LL: 80 μmol photons m -2 s -1 ; HL: 300 ) three stocking densities (LD: 0.2 g L MD:1 HD:2 explore photosynthetic physiological responses nutrients absorption capacity. The results showed that high low density significantly increased growth rate U. linza. Under HLLD, maximum was 43.13% day energy captured per unit reaction center for electron transfer (ET 0 /RC) highest. higher decreased relative (rETR max especially among groups subjected high-light condition. HL condition, HD also utilization efficiency (α) . contents chlorophyll b carotenoids lower HLLD group compared other treatment groups. P uptake prominently inhibited density, minimum 17.94 μM FW LLLD 2.74 LLHD group, respectively. Lower improved N but had no effect it. These suggest synergistically promote which is likely enhanced nutrient uptake. And inhibitory growth, particularly conditions, may be competition nutrients. late stage outbreak, an increase accumulation could help suppress sustained tides,

Language: Английский

Citations

1

Transcriptomic Analysis Provides New Insights into the Stress Tolerance Mechanisms of Green Macroalgae Ulva Prolifera to High Temperature and Light Stress DOI

Kifat Jahan,

Mst Shamim Ara Supty,

Lee JunSeok

et al.

Published: Jan. 1, 2024

Adaptation to climate change is crucial for marine life as these changes have profound effects on organisms. We investigated genetical mechanism underlying the tolerance of Ulva prolifera (Chlorophyta), a macroalgae, combine high temperature and light intensity stress. In total, 81,729 differentially expressed genes (DEGs) were identified between control treatment groups. At mRNA level, upregulated DEGs enriched in spliceosome, ribosome, proteasome, peroxisome pathways. Genes linked spliceosome pathway played role ability U. adapt challenging situations across all comparison Additionally, pathways associated with ribosomes, proteasomes, peroxisomes significantly increased response elevated Autophagy was only stress after 24 hours, not 48 hours. These results provide new insights into molecular responses conditions.

Language: Английский

Citations

0

Research on drawing the distribution envelope of green tide in the Yellow Sea based on satellite remote sensing DOI
Juan Huang, Yi Ding, Song Gao

et al.

Published: July 10, 2024

Language: Английский

Citations

0