2520 papers
This study demonstrates that the invasive crayfish *Faxonius limosus* in the Serbian Danube accumulates significant levels of toxic metals (Cd, As, Pb, and Hg) in its tissues, highlighting its dual role as a bioindicator of sediment pollution and a potential vector for food chain risks.
This study demonstrates that a temporally validated framework using Extreme Gradient Boosting outperforms baseline and other statistical models in forecasting monthly wildfire carbon emissions across the Canadian boreal forest, achieving high predictive skill even during extreme fire seasons like 2023.
This study demonstrates that integrating remote sensing, GIS, and the Analytic Hierarchy Process is an effective method for delineating groundwater potential zones in the Selekleka River Catchment, Tigray, revealing that approximately 41.6% of the area possesses good to very good potential, a finding validated by the concentration of existing wells in these zones.
This study analyzes 36 years of data from over 3,000 Chinese reservoirs to reveal that while reservoir evaporation losses are increasing, atmospheric evaporation intensity contributes more to these changes than surface area expansion, highlighting the need for management strategies that address both factors.
This study demonstrates that integrating epiphytic lichen community structure and lead bioaccumulation provides a robust, low-cost method for assessing atmospheric pollution in Sleman, Indonesia, revealing that traffic pressure and host tree architecture significantly shape lichen diversity while specific species serve as effective indicators of high lead contamination in tropical urban environments.
Using panel data from 2000 to 2024 across 21 prefecture-level units, this study reveals that the social-ecological system resilience in the Qinghai-Tibetan Plateau's alpine grasslands is evolving toward reduced polarization and significant convergence through spatial diffusion and a catch-up effect, driven by inter-regional differences and core city influences, thereby necessitating differentiated policies and enhanced cross-regional governance for balanced development.
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.