Rahmstorf (Reports, 19 January 2007, p. 368) presented an approach for predicting sea-level rise based on a proposed linear relationship between global mean surface temperature and the rate of global mean sea-level change. We find no such linear relationship. Although we agree that there is considerable uncertainty in the prediction of future sea-level rise, this approach does not meaningfully contribute to quantifying that uncertainty.
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http://dx.doi.org/10.1126/science.1140942 | DOI Listing |
J Environ Manage
January 2025
Civil Engineering Department, Engineering School, Pontificia Universidad Javeriana, Colombia; Ciencia e Ingeniería del agua y el ambiente Research Group, Pontificia Universidad Javeriana, Colombia; Instituto Javeriano del Agua, Pontificia Universidad Javeriana, Carrera 7a No. 40-62, Bogotá, Colombia.
Coastal areas face significant challenges due to natural and anthropogenic changes, such as sea level rise, extreme events and coastal erosion. The coastal management requires the consideration of socioeconomic and environmental factors to address these variables. The selection of an appropriate Decision Support Tool (DST) based on decision matrix method plays a crucial role in implementing coastal management strategies to tackle climate change-related issues.
View Article and Find Full Text PDFSci Rep
December 2024
Soil and Water Management & Crop Nutrition Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, International Atomic Energy Agency, Vienna, Austria.
The Northern Antarctic Peninsula (NAP) and the West Antarctic Ice Sheet (WAIS) are likely to respond rapidly to climate changes by increasing the collapse of peripheral ice shelves and the number of days above 0 °C. These facts make this region a representative hotspot of the global sea level rise and the location of one of the global climate tipping points (thresholds in the Earth system whose changes may become irreversible, if exceeded). Understanding the climate evolution of the NAP, based on past evidences, may help infer its future scenario.
View Article and Find Full Text PDFNeotrop Entomol
December 2024
Escuela de Agronomía, Filial Oxapampa, Univ Nacional Daniel Alcides Carrión, Oxapampa, Pasco, Peru.
Fruit flies (Diptera: Tephritidae) are significant pests of fruit and vegetable crops worldwide. Despite their importance, some regions in South America remain under-researched regarding the fruit fly species that damage host plants and the parasitoids that provide their natural control. In this study, we investigated the interactions among host plants, fruit flies, and their larval parasitoids along two altitudinal gradients in Oxapampa, Pasco, a tropical Andean forest in Peru.
View Article and Find Full Text PDFJ Fungi (Basel)
December 2024
Key Laboratory of Phytochemistry and Natural Medicines, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
and its allies are important edible and medicinal mushrooms in China. They are usually called Jiner () and have been cultivated on a commercial scale. However, due to the lack of DNA sequences from the holotype of , the taxonomic issues of the species complex are unresolved.
View Article and Find Full Text PDFSci Total Environ
December 2024
University of Antwerp, ECOSPHERE, Wilrijk, 2610, Belgium.
Salt marshes are known as key ecosystems for nature-based climate mitigation through organic carbon sequestration into their sediment beds, but at the same time they are affected by accelerating sea level rise induced by climate warming. Consequently, an important question is how organic carbon accumulation rates (OCAR) of salt marshes will respond to future accelerating rates of relative sea level rise (RSLR). To date, existing insights are either based on (1) comparison of geographically distant marsh sites, differing in local RSLR rates but also in other environmental conditions that additionally can affect OCAR, or (2) experiments in given marsh sites, in which proxies for RSLR are manipulated, but run over periods of years instead of decades, the latter being the relevant time scale of marsh responses to RSLR.
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