493 papers
This study utilizes ensemble machine learning models to predict that under future climate scenarios (specifically SSP5-8.5 by 2060), the suitable habitat for the Critically Endangered tree *Saurauia punduana* in Northeast India will drastically shrink to just 2.88% of the region, providing critical data to guide its conservation and rehabilitation efforts.
This study analyzes 75 years of ERA5 reanalysis data to reveal that while large-scale atmospheric conditions favorable to Clear-Air Turbulence over Europe have generally increased with a shift toward reduced stability, these trends are index-dependent and modulated by a quasi-biennial solar cycle with a 2.45-year periodicity.
This mixed-methods study reveals that climate-induced flood exposure and severity among urban residents in Uganda vary significantly by location and flood type, necessitating distinct, place-specific adaptation strategies such as drainage expansion and wetland restoration for the Greater Kampala Metropolitan Area versus upstream catchment management and river control for Kasese.
This study utilizes a Spatial Instrumental Durbin Model to analyze Taiwan's 22 counties, revealing that while urban heat island intensity does not have a statistically significant direct effect on ambulance dispatch frequency, emergency medical demand is primarily driven by population density, road infrastructure, and significant spatial spillover effects from neighboring regions.
This study demonstrates that deep soil organic carbon storage in the Ethiopian highlands increases downslope due to pedogenic processes like clay translocation and colluvial deposition, which enhance organo-mineral stabilization in subsurface horizons.
This paper evaluates Ghana's progress toward SDG 13, revealing a pattern of "constrained ambition" where strong institutional frameworks and adaptation efforts are undermined by limited mitigation outcomes, insufficient climate finance, and uneven implementation capacity.
This study employs a cradle-to-grave life cycle assessment to demonstrate that while grid-connected crystalline silicon solar systems in Cameroon offer significant environmental benefits during operation, their long-term sustainability is critically compromised by end-of-life heavy metal toxicity unless structured recycling infrastructure and policies are established to replace uncontrolled landfill disposal.
This study reveals that the microbial community structure in Reshuigou hot springs on the northeastern Qinghai-Tibet Plateau is shaped not by a single factor, but by the complex interplay of deep hydrothermal hydrochemical conditions, local discharge dynamics, and oxidative mixing processes.
This study of sediment cores from four tropical floodplain lakes in Central Kalimantan reveals that while most heavy metal concentrations are within normal global ranges, localized elevations of elements like mercury and bismuth result from a complex interplay between natural lateritic soil enrichment, hydrothermal mineralization, and anthropogenic inputs from artisanal gold mining, with mercury notably immobilized through co-deposition with selenium.
This study demonstrates that while multispectral imaging offers rapid processing, microwave imaging analyzed by Artificial Neural Networks provides superior accuracy and stability for precise geological classification of stone samples.