Results 181 to 190 of about 151,077 (241)

Transcriptomics and non-targeted metabolomics reveal the mechanisms of leaf color changes in red-leaf cotton under drought stress and rewatering. [PDF]

Front Plant Sci
Zhang H, Wang J, Gao W, Ma X, Wang H, Zhang W, Zeng Q, Li J, Chen Q, Chen Q.   +9 more
europepmc   +1 more source

Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data

International Journal of Climatology, EarlyView.
There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas, Athanassios Argiriou, Anna Mamara   +2 more
wiley   +1 more source

Multiscale Threats Shape the Occurrence Dynamics of a Threatened Aquatic Salamander and Reveal a Possible Extinction Debt. [PDF]

Ecol Evol
Teitsworth EW, Hall JG, Archambault JM, Humphries WJ, Pacifici K.   +4 more
europepmc   +1 more source

Atmospheric River Event Frequency Is the Principal Moisture Driver for Radial Growth of High‐Elevation Southern California, USA Conifers, 1658–2020 CE

International Journal of Climatology, EarlyView.
Conifers growing in high‐elevation alpine environments in the mountains of Southern California, USA, are highly responsive to atmospheric river (AR) events, which typically produce heavy precipitation over 1–3 days. However, it is the frequency of the AR events, not their magnitude nor annual precipitation totals, that most affects the radial growth of
Paul A. Knapp, Avery A. Catherwood, Tyler J. Mitchell   +2 more
wiley   +1 more source

Experimental insights in taxon-specific functional responses to droughts in glacier-fed stream biofilms. [PDF]

Microbiome
Touchette D, Michoud G, Boutroux M, Gonzalez Mateu M, Baier F, Altshuler I, Peter H, Battin TJ.   +7 more
europepmc   +1 more source

Drought

The Iowa Review, 2001
openaire   +1 more source

Projected 21st Century Changes in Precipitation and Temperature Over Italy Using CMIP6 CMCC‐CM2‐SR5 Model and COSMO‐CLM Dynamical Downscaling

International Journal of Climatology, EarlyView.
This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano, Mario Raffa, Angelo Campanale, Marianna Adinolfi, Gabriella Ceci, Paola Mercogliano   +5 more
wiley   +1 more source

Global Trends in Drought Impacts on Wildlife-A Review. [PDF]

Glob Chang Biol
McTigue LE, van den Bosch M, Boone HM, McCaslin HM, Jones LN, Mola JM, Steel ZL.   +6 more
europepmc   +1 more source