Results 91 to 100 of about 2,263 (202)
MaxEnt Projections of Climate‐Driven Distribution Shifts for Daphniphyllum calycinum in China
Using an optimized MaxEnt model, this study projects climate‐driven distribution shifts of Daphniphyllum calycinum, an ecologically and medicinally important subtropical tree in China. Results reveal that annual mean temperature and dry season precipitation primarily govern its distribution, with future warming scenarios projecting significant habitat ...
Yangzhou Xiang +6 more
wiley +1 more source
This study addresses a critical gap in understanding how climate change will affect the foundation of giant panda habitat—its bamboo food resources—at a biologically meaningful scale. While previous assessments often relied on coarse‐resolution climate data, we present the first 30 m‐resolution projections for all 20 key bamboo species across the panda'
Xiaotong Shang +11 more
wiley +1 more source
This study aims at delineating specific proven features of climate change in the Sultanate of Oman since 1950, and also highlighting potential features of the climate change in the Sultanate of Oman up to 2150 under the worst future scenario of SSP5-8.5 (the unsustainable Fifth Shared Socioeconomic Pathway “Fossil-fueled development - Taking the ...
openaire +1 more source
Using an ensemble species distribution modelling framework (MaxEnt, Random Forest and Boosted Regression Trees), we compared the projected climate‐driven range shifts of two ecologically contrasting invasive plants in Turkey—the hydrophilic Eichhornia crassipes and the xerophytic Solanum elaeagnifolium —under three CMIP6 scenarios (SSP2‐4.5, SSP3‐7.0 ...
Nihat Tursun +3 more
wiley +1 more source
Integrated assessment models (IAMs), often coupling Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs), simulate how socioeconomic drivers, technology, policy, and environmental processes interact over time.
Kedi Liu +5 more
doaj +1 more source
Exploring the urban spatial pattern and expansion characteristics of African countries under shared socioeconomic pathways (SSPs) is crucial to optimizing urban development in Africa and ensuring ecological sustainability. We use land and socioeconomic panel data and the least squares dummy variable regression method to predict the urban land increment
Binglin Liu +4 more
openaire +2 more sources
Attribution of Future Water Stress in a Two‐Way Coupled Socioeconomic–Hydrological Framework
We dynamically couple the Global Change Analysis Model (GCAM) with the integrated land simulator (ILS) through exchanges of land use and surface‐water availability, enabling consistent representation of water balance and human water use. Century‐scale simulations (2020–2100) were conducted under four SSP scenarios at 0.5° resolution for ILS and 32 ...
Tetsuya Fukuda +5 more
wiley +1 more source
The Taiwan Empirical‐Statistical Downscaling (TaiESD) dataset utilises quantile mapping (QM) for temperature and quantile delta mapping (QDM) for precipitation bias correction. It was developed to provide high‐resolution climate change information for Taiwan.
Cheng‐Ta Chen +3 more
wiley +1 more source
Climate-induced migration is increasingly recognized as a major demographic consequence of environmental change, yet projections vary widely due to differences in spatial scale, hazard coverage, and modeling approaches. This study introduces the First Street Global Climate Migration Model (FS-GCMM), a globally consistent, multi-hazard framework that ...
Zachary M. Hirsch +3 more
openaire +1 more source
Mentalizing and Attachment From Infancy to Young Adulthood: Insights From the Metera Adoption Study
ABSTRACT Mentalizing is a socio‐cognitive capacity that develops within early attachment relationships, but institutional care may disrupt this process. Although adoption significantly improves developmental outcomes, it remains unclear whether socio‐cognitive vulnerabilities observed in children persist in adulthood.
Pavlos Zournatzidis +4 more
wiley +1 more source

