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Comparative study of macrofaunal assemblages in seagrass meadows and neighboring seabeds along the southeastern coast of Shandong Peninsula, China were performed. A total of 136 species were identified, including polychaetes (49 species), crustaceans (28), molluscs (58), and echinoderms (1). Species numbers of macrofauna in seagrass meadows and the neighboring seabeds were 52 and 65, respectively, whereas those in autumn were 90 and 56, respectively. Average macrofaunal abundances in spring in seagrass and neighboring seabeds were 2388.9 and 2516.7 ind./m, respectively, whereas those in autumn were 11,689.0 and 1733.3 ind./m, respectively. Ranges of species richness index, evenness index, and Shannon-Wiener index in seagrass meadows and the neighboring seabeds were 1.3-2.7, 0.7-0.9, 2.8-3.8, and 1.04-2.4, 0.5-0.9, 1.6-3.4 during spring, whereas those in autumn were 0.1-4.2, 0.3-0.8, 0.8-3.6 and 1.4-3.5, 0.5-0.9, 2.2-4.5. Bottom water temperature, salinity, sediment chlorophyll a concentration, and water content were the most important environmental factors influencing macrofaunal assemblages.
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http://dx.doi.org/10.1016/j.marpolbul.2023.114847 | DOI Listing |
J Acoust Soc Am
September 2025
Centre de Vision Numérique, CentraleSupélec, Université Paris-Saclay, Inria, Gif-Sur-Yvette, France.
Conventional techniques for underwater source localization have traditionally relied on optimization methods, matched-field processing, beamforming, and, more recently, deep learning. However, these methods often fall short to fully exploit the data correlation crucial for accurate source localization. This correlation can be effectively captured using graphs, which consider the spatial relationship among data points through edges.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
July 2025
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology, Chinese Academy of Sciences, Nanjing 210008, China.
Understanding the drivers of spatial patterns in fossil communities is fundamental to paleoecology, yet direct evidence for biological mechanisms regulating interindividual spacing remains elusive. Brachiopod setae, hypothesized to function in feeding or defense, are exceedingly rare in the fossil record, especially among post-Cambrian taxa. Here, we present the report of exquisitely preserved setae from an exceptional in situ fossil assemblage of the early Silurian rhynchonelliform brachiopod .
View Article and Find Full Text PDFMar Pollut Bull
September 2025
College of Marine Life Sciences and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ocean University of China, Qingdao 266003, China; MoE Key Laboratory of Evolution and Marine Biodiversity and Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao
Seagrass beds ecosystems, which are critical yet declining blue carbon ecosystems worldwide, play crucial roles in terms of biodiversity and carbon sequestration. Free-living marine nematodes are useful biological indicators of various environmental disturbances. The functional traits and community structure of free-living marine nematodes were studied in seagrass beds (SG) and the neighboring unvegetated seabeds (SB) in three temperate bays along the eastern coast of Shandong Peninsula, China.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
Department of Economics, Faculty of Economics and Social Sciences, Bu-Ali Sina University, Hamedan, Iran.
The different stages of oil and gas extraction in the seabed are linked to water pollution and threaten fish reserves. This issue becomes more critical in the Middle East countries which are rich in natural resources and at the same time are facing water tensions. The purpose of this paper is to analyze the harmful impact of gas extraction on fisheries' footprint in the Middle East based on data from 1990 to 2021.
View Article and Find Full Text PDFThe Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) can obtain underwater elevation due to its strong penetration ability. However, the photons recorded by ICESat-2 include a large amount of noise that needs to be removed. Although density-based clustering methods can finish signal photon extraction, heterogeneous density and weak connectivity in photon data distribution impede their denoising performance, especially for sparse signals in deep water and drastic topographic change areas.
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