Distribution of Aquatic Vertebrates in the Winter Dry Season Informing Water Resource Management in a Large Floodplain Lake. [PDF]
Wang H +6 more
europepmc +1 more source
Extreme precipitation trends detected in Paraná, Southern Brazil (1983–2024), are strongly conditioned by the dataset used, with reanalyses indicating coherent inland drying and longer dry spells, observations retaining stronger mesoscale heterogeneity, and satellite products often showing declines in short‐duration extremes. Monthly diagnostics reveal
Paulo Miguel de Bodas Terassi +2 more
wiley +1 more source
Macroinvertebrate Community Responses and Recovery Mechanisms to Extreme Drought in Small Water Bodies of Eastern China. [PDF]
Peng Z +5 more
europepmc +1 more source
Multi‐Timescale Drought Evolution in Greece (1960–2022) From Station‐Based SPI and SPEI
Using homogenized data from 67 HNMS stations in Greece (1960–2022), we calculated SPI and SPEI at 1–12‐month scales to characterize meteorological to hydrological drought. We quantified the network‐based spatial extent of drought, compared SPI and SPEI drought signals, and tested changes with autocorrelation‐robust Mann–Kendall trends and Pettitt ...
Michael Samouris +3 more
wiley +1 more source
Monitoring alpine wetland of Haizishan using Otsu method and Sentinel-1 SAR in Hengduan Mountains, China. [PDF]
Li X, Li J, Xing Z, Liu S.
europepmc +1 more source
Station‐Based Assessment of Sub‐Seasonal Climate Trends in the Tyrolean Alps (Austria)
In this study, we quantify the magnitude and significance of sub‐seasonal trends in the Tyrolean Alps (Austria) by collecting, processing and analysing meteorological observations from a dense network of climate stations. Our analysis indicates a warming rate of 0.43°C/dec over 1964–2023, greater sub‐seasonal trend variability when the analysis window ...
Erwin Rottler +6 more
wiley +1 more source
Genetic Variation and Spatial Genetic Structure of <i>Eleocharis ussuriensis</i> Zinserl. in South Korea: Implications for Ecological Monitoring and Resource Management. [PDF]
Kim EH, Kim KR, Lee MH, Goh J, Yu JN.
europepmc +1 more source
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo +5 more
wiley +1 more source
Analysis of Xijiang River Basin Flood Disaster and Hydrological Variation
XU Hai-liang
doaj
DNA Barcoding Reveals Hidden Genetic Diversity and Environmental Correlates of Lineage Differentiation in <i>Neozavrelia</i> Goetghebuer & Thienemann, 1941 (Diptera: Chironomidae). [PDF]
Xie TY, Zhang Y, Chen YZ, Liu Z, Lin XL.
europepmc +1 more source

