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Mangrove forests provide many ecosystem services but are among the world's most threatened ecosystems. Mangroves vary substantially according to their geomorphic and sedimentary setting; while several conceptual frameworks describe these settings, their spatial distribution has not been quantified. Here, we present a new global mangrove biophysical typology and show that, based on their 2016 extent, 40.5% (54,972 km) of mangrove systems were deltaic, 27.5% (37,411 km) were estuarine and 21.0% (28,493 km) were open coast, with lagoonal mangroves the least abundant (11.0%, 14,993 km). Mangroves were also classified based on their sedimentary setting, with carbonate mangroves being less abundant than terrigenous, representing just 9.6% of global coverage. Our typology provides a basis for future research to incorporate geomorphic and sedimentary setting in analyses. We present two examples of such applications. Firstly, based on change in extent between 1996 and 2016, we show while all types exhibited considerable declines in area, losses of lagoonal mangroves (- 6.9%) were nearly twice that of other types. Secondly, we quantify differences in aboveground biomass between mangroves of different types, with it being significantly lower in lagoonal mangroves. Overall, our biophysical typology provides a baseline for assessing restoration potential and for quantifying mangrove ecosystem service provision.
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http://dx.doi.org/10.1038/s41598-020-71194-5 | DOI Listing |
Photochem Photobiol Sci
April 2025
St John's Institute of Dermatology, King's College London, London, UK.
Farmers are exposed chronically to solar ultraviolet radiation. Their chronically exposed skin undergoes alterations in pigmentation, but quantitative measurements have not be done yet. Therefore, we followed skin color and pigmentation in Austrian farming families (male and female farmers, their spouses, and children) for one year by objective tri-stimulus measurements on different body sites.
View Article and Find Full Text PDFSci Total Environ
November 2024
Water Research Laboratory, School of Civil and Environmental Engineering, UNSW, Sydney, NSW, Australia.
J Dermatol
November 2024
Division of Dermatology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand.
Background: Spironolactone (SPL) is an effective treatment for women acne, but other effects on skin biophysical properties remain to be investigated.
Objectives: The aim of the current study was to explore the effects of oral SPL used to treat women acne on skin biophysical properties, including hydration, transepidermal water loss (TEWL), skin surface lipid (SSL) levels, mechanical properties, color, pH, and pore size.
Materials And Methods: Twenty-five Thai women with acne treated with oral SPL were followed for 6 months.
Int J Mol Sci
May 2024
Department of Biology, University of Naples Federico II, Via Cinthia, 21, 80126 Naples, Italy.
In recent years, the awareness that pesticides can have other effects apart from generic toxicity is growing. In particular, several pieces of evidence highlight their influence on human fertility. In this study, we investigated, by a virtual screening approach, the binding between pesticides and proteins present in human gametes or associated with reproduction, in order to identify new interactions that could affect human fertility.
View Article and Find Full Text PDFAmbio
October 2024
Austral Center for Scientific Research (CADIC), National Scientific and Technological Research Council (CONICET), Bernardo Houssay 200, CP 9410, Ushuaia, Tierra del Fuego, Argentina.
Sustainable livestock management plays a crucial role in food production, climate change mitigation, and cultural preservation. Our study aimed to identify and analyse the diversity of social-ecological conditions that characterize extensive livestock systems in southern Patagonia. We integrated data collected from interviews and secondary sources and analysed data using hierarchical cluster analysis and non-metric multidimensional scaling to identify distinct ranching types.
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