The leaf economics spectrum (LES) has been proposed as a framework for understanding leaf resource-investment and plant growth strategies, but it is scarcely examined in mangrove communities. This study investigates LES patterns in mangrove communities to examine whether the trait coordination spectrum, if it exists, is associated with plant growth strategies. By conducting a comprehensive sampling across a wide range of mangrove species in China, we confirmed the presence of LES across mangrove species, and found that true mangroves generally exhibit a more conservative strategy characterized by higher leaf mass per area (LMA) and lower leaf nutrient concentrations compared to mangrove associates. We also observed considerable intraspecific variation in traits, particularly in LMA. In some cases, fast-growing species exhibited higher LMA and lower leaf nutrient concentrations than slow-growing species. Fast-growing species also showed higher leaf thickness than slow-growing species, but no difference in leaf density between them, suggesting that LMA composition is important in understanding trait coordination and its link with plant growth strategies in mangrove communities. Our findings highlight a complex link between trait coordination and plant growth strategies in mangrove species.
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http://dx.doi.org/10.1038/s44185-025-00077-7 | DOI Listing |
Curr Microbiol
March 2025
Institute of Resources, Environment and Soil Fertilizer, Fujian Academy of Agricultural Sciences, Fuzhou City, 350003, Fujian Province, PR China.
Two Gram-stain-positive, aerobic, rod-shaped, and motile strains FJAT-53684 and FJAT-54145 were isolated from the mangrove sediment. They optimally grew at pH 8.0 and could tolerate NaCl up to 5% (w/v).
View Article and Find Full Text PDFJ Environ Manage
March 2025
Institute of Marine Development, Ocean University of China, 238 Songling Road, Qingdao, Shandong, 266100, China; School of Economics, Ocean University of China, 238 Songling Road, Qingdao, Shandong, 266100, China. Electronic address:
With the increasing concentration of population and marine industrial activities in coastal areas, marine ecological damage caused by various human activities and unforeseen events has become increasingly severe. Marine ecological damage compensation (MEDC) is a policy designed to regulate and mitigate the ecological impacts of marine development; balance the environmental, economic, and social interests of stakeholders; and ensure the health of marine ecosystems and the sustainable use of marine resources. The MEDC is divided into two modes: compensation in money and compensation in kind, each giving rise to its respective standards: monetary compensation standards and ecological restoration standards.
View Article and Find Full Text PDFSci Rep
March 2025
Aquatic Resources Research Institute, Chulalongkorn University, Bangkok, Thailand.
This study investigated seasonal variations of thraustochytrids in rhizosphere soil collected from two mangrove species Rhizophora apiculata and Avicennia marina in natural and planted mangrove stands. Thraustochytrid counts were higher in the natural mangrove stand than in the planted site. The counts varied seasonally, being highest in the post-monsoon season followed by summer, monsoon, and pre-monsoon.
View Article and Find Full Text PDFMar Pollut Bull
March 2025
Department of Oceanography, Center of Technology and Geosciences, Federal University of Pernambuco, Recife, PE 50740-550, Brazil.
This study examined the impacts of oil spills since 2019 by analyzing polycyclic aromatic hydrocarbons (PAHs) in sediments and their effects on the fecundity of the shrimp Alpheus estuariensis. Samples were collected from mangroves in three Pernambuco locations: Catuama, Suape Bay, and Carneiros Beach. Ovigerous females were identified, and their eggs were counted and classified by embryonic stage.
View Article and Find Full Text PDFFront Plant Sci
February 2025
School of Ecology, Hainan University, Haikou, China.
Introduction: Reforestation has been widely considered to best solve this problem, but this requires an accurate estimation of carbon stocks in the forest aboveground biomass (AGB) at a large scale. AGB models based on traits and remote sensing indices (moisture vegetation index (MVI)) are the two good methods for this purpose. But limited studies have developed them to estimate carbon stock in AGB during restoration of degraded mining areas.
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