Results 181 to 190 of about 14,799 (261)

Assessing Resilience of a Coastal Wetland to Relative Sea-level Rise for a Native American Tribe in Louisiana - Comparing Biophysical Prediction and Traditional Ecological Knowledge. [PDF]

Estuaries Coast
San Antonio KM, Wu W, Bethel MB.
europepmc   +1 more source

Brazil seed transfer zones: Supporting seed sourcing for climate‐resilient ecosystem restoration

PLANTS, PEOPLE, PLANET, EarlyView.
Brazil has tens of millions of hectares of degraded land that must be restored to meet national and global biodiversity and climate goals. Sowing genetically diverse native seeds is key to restoring degraded lands to climate‐resilient landscapes, but we still lack guidance on how to effectively match seed sources to restoration sites across broad ...
Mateus Silva, André Braga Junqueira, Pedro Guimarães, Danielle Celentano, Beatriz Murer, Tobias Fremout, Evert Thomas, Christopher Kettle, Edjane Damasceno, Adler Medeiros, Rodrigo Dutra‐Silva, Fabian Borghetti, Fatima Piña‐Rodrigues, Anabele Gomes, Veronica Maioli, R. Toby Pennington, Lucy Rowland, Eduardo Malta   +17 more
wiley   +1 more source

Coastlines retreat tipping point under storm climate changes. [PDF]

Sci Rep
Aparicio M, Almar R, Lacaze L, Robin N.
europepmc   +1 more source

Dry intrusions and warm‐core development in Medicanes: Insights from a multi‐case analysis and the peculiar evolution of Ianos

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Mediterranean tropical‐like cyclones show a clear seasonality, with September cyclones exhibiting the deepest convection and Ianos representing the most extreme case. While one or more dry intrusions are typically detected during the cyclone life cycle, Ianos instead features two much weaker descending airflows.
Daniele Nigro, Lorenzo Giovannini, Simona Bordoni, Stavros Dafis, Mario Marcello Miglietta   +4 more
wiley   +1 more source

Mapping coastal transformations with a novel Cellular Automata-Markov-Random forest framework for land use change modeling. [PDF]

Sci Rep
Nikoo MR, Zarei E, Al-Wardy M.
europepmc   +1 more source

Evolution of sea fog based on meteorological and oceanographic observations during FATIMA Yellow Sea campaign

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents a conceptual framework linking sea‐water temperature Tw gradients to the formation and persistence of sea fog in the southeastern Yellow Sea. Over cold waters maintained by tidal mixing, downward latent heat flux enhances lower‐level stability and sustains persistent sea fog, whereas over warmer waters, upward fluxes and thermal ...
Jae‐yong Lee, Kyung‐Il Chang, Kyung Man Kim, Ismail Gultepe, Harindra J. S. Fernando   +4 more
wiley   +1 more source

REPLY TO "Ecogeomorphic feedbacks influence elevation change across microtidal wetland settings of coastal Louisiana". [PDF]

Nat Commun
Li G, Törnqvist TE, Dangendorf S.
europepmc   +1 more source

Structural changes in the interannual variability of extreme autumn precipitation in eastern Spain and the weakening of synoptic forcing

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Total autumn precipitation in eastern Spain remains stable between 1950 and 2024, masking a substantial internal redistribution between ordinary and extreme rainfall. While torrential precipitation (Rp95) increases and ordinary precipitation (Ro) decreases, the extreme contribution index (Cext) shows a significant positive trend and a structural shift ...
Eduardo A. Agosta, David Corell, Juan J. Miró, María José Estrela   +3 more
wiley   +1 more source

Net widening of Southern California beaches. [PDF]

Nat Commun
Warrick JA, Vos K, Buscombe DD, Ritchie AC, Vitousek S, Hachey T, Sanders BF.   +6 more
europepmc   +1 more source

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

River Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source