Results 31 to 40 of about 7,051 (218)

Linking community structure and climate vulnerability in desert plant assemblages of southern California

American Journal of Botany, EarlyView.
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate, Luis E. Barrios, Danelle A. Baronia, G. Darrel Jenerette, Lynn C. Sweet   +4 more
wiley   +1 more source

Future warming enhances rates of population increase of arthropod crop pests globally

Ecography, EarlyView.
Arthropod herbivores cause severe crop yield losses worldwide. Global warming is expected to shift their ranges, phenologies and performances, highlighting the need for improved forecasts of their potential expansion and impacts on food security. After decades of experimental research on thermal biology of arthropod crop pests, available data and tools
Darío San‐Segundo Molina, Ignacio Morales‐Castilla, Sara Villén‐Pérez   +2 more
wiley   +1 more source

The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China

Journal of Water and Climate Change, 2023
The impacts of future climate change on the watershed streamflow and total dissolved nitrogen (TDN) fluxes upstream of the Danjiang River were estimated. The newest shared socioeconomic pathways (SSP) in CMIP6 were used as a climate change scenario.
Yaxiu Liu, Xinyu Chen, Han Gao, Jian Sha, Xue Li   +4 more
doaj   +1 more source

Surface and Tropospheric Climatic Trends in the Galápagos Archipelago Based on the Galápagos Archipelago Refined Analysis Dataset

International Journal of Climatology, EarlyView.
The Galápagos Archipelago's near‐surface climate is primarily influenced by interannual El Niño‐Southern Oscillation variability, with no statistical evidence for long‐term trends in air temperature, humidity, or precipitation. While tropospheric warming and increased atmospheric stability are observed, these trends are largely decoupled from near ...
Benjamin Schmidt, Marco Otto, Frederik Bart, Nazli Turini, Byron Delgado Maldonado, Jörg Bendix, Dieter Scherer   +6 more
wiley   +1 more source

Multifractal analysis of malaria cases in India in a global warming scenario

Journal of Water and Climate Change, 2023
An effort is made to evaluate the multifractal properties of malaria cases in India from 1980 to 2014. The possible changes in these properties in a global warming scenario (during 2015–2049) are also quantified.
Suneet Dwivedi, Shweta Chaturvedi
doaj   +1 more source

Downscaling of Temperatures Over the Eastern Mediterranean for the 21st Century

International Journal of Climatology, EarlyView.
We developed an analogue‐based statistical downscaling method, using a K‐nearest‐neighbour framework, to project daily maximum temperature (Tmax) and minimum temperature (Tmin) at 32 homogenized meteorological stations. Late twenty‐first‐century (2080–2100) temperature projections obtained using the method, show robust warming across all stations and ...
Anton Gelman, Lidiya Shendrik, Efrat Morin, Chaim I. Garfinkel, Dorita Rostkier‐Edelstein   +4 more
wiley   +1 more source

Representation of Long‐Term Observed UK Winter Precipitation Trends and Variability in UKCP18 Global Climate Models

International Journal of Climatology, EarlyView.
Evaluating historical precipitation trends is complicated by interactions between variability in atmospheric circulation and thermodynamic forcing. This study assesses 1901–2023 UK winter precipitation trends in UK Climate Projections 2018 (UKCP18) global climate models using dynamical adjustment to separate circulation‐driven and non‐dynamical ...
James G. Carruthers, Hayley J. Fowler, Daniel Bannister, Selma B. Guerreiro   +3 more
wiley   +1 more source

Predicting rainfall response to climate change and uncertainty analysis: Introducing a novel downscaling CMIP6 models technique based on the stacking ensemble machine learning

Journal of Water and Climate Change, 2023
This study proposes a novel downscaling technique based on stacking ensemble machine learning (SEML) to predict rainfall under climate change. The SEML consists of two levels.
Mahdi Valikhan Anaraki, Mojtaba Kadkhodazadeh, Amirreza Morshed-Bozorgdel, Saeed Farzin   +3 more
doaj   +1 more source

ERA5 Can Overstate Changes in the Frequency of Extreme Heat: A New Zealand Case Study

International Journal of Climatology, EarlyView.
ERA5 reproduces broad patterns of summer warming across New Zealand but underestimates temperature variability and warm‐tail extremes, biasing estimates of extreme heat risk. ABSTRACT Summertime temperature extremes exert profound impacts on human health, ecosystems, and infrastructure, yet their characteristics and drivers remain poorly quantified in ...
Sayed Waseem Iqbal, Luke J. Harrington, Hamish Lewis   +2 more
wiley   +1 more source

Analysis of the Characteristics of Non-stationary Spatio-temporal Variations of Future Temperature in the Qinghai-Xizang Plateau Based on EOF-EEMD Combination

Gaoyuan qixiang
Using effective bias correction methods and transforming non-stationary data to stationary can enhance the scientific accuracy of temperature analysis， allowing for a deeper understanding of its temporal and spatial distribution characteristics and ...
Xue ZHANG, Xiaohua DONG, Yaoming MA, Chengqi GONG, Xueer HU, Ling CHEN, Zhongbo SU   +6 more
doaj   +1 more source