1371 papers
This study reveals that despite similar productivity, bird and mammal communities in the Peruvian Amazon and Borneo channel energy through distinct pathways shaped by biogeographic history and anthropogenic effects, demonstrating that ecosystem functionality cannot be fully understood through species richness alone.
While regional Marine Cloud Brightening in the eastern Pacific could effectively limit global warming to 2°C, large-ensemble simulations reveal that it unintentionally alters tropical cyclone tracks to significantly increase land exposure and human risk by the end of the century.
This 14-quarter study of the Mudan Reservoir in Taiwan reveals that while summer monsoons significantly elevate dissolved gross beta radioactivity through runoff, the resulting water remains radiologically safe for public consumption, with estimated annual doses far below WHO safety limits despite limited removal by conventional treatment processes.
This study addresses the lack of localized benchmarks for Saudi Arabia's construction sector by developing a practitioner-informed, four-tier embodied carbon benchmark typology for commercial and mixed-use giga project buildings, utilizing cradle-to-completion lifecycle data to guide decarbonization efforts within the Kingdom's Vision 2030 framework.
By integrating aeromagnetic modeling with geological constraints, this study reconstructs the three-dimensional geometry and structural controls of the Late Cretaceous San Feliciano Plutonic System in Northern Zacatecas, revealing a large, irregularly shaped intrusive body emplaced along a NE–SW trend and subsequently deformed by NW–SE tectonic forces associated with the Mexican Orogen.
By coupling the Global Change Analysis Model with an LLM agent-coordinated workflow, this study demonstrates that the temporal pacing of mitigation under a fixed 1.5°C carbon budget critically determines Sustainable Development Goal outcomes, revealing that front-loaded strategies reduce long-term overshoot and pollution but increase near-term pressures, whereas delayed mitigation shifts burdens to the late century and increases reliance on carbon removal.
This study presents the first union-level heat risk assessment for Rajshahi Division, Bangladesh, utilizing a multiplicative Hazard-Exposure-Vulnerability framework integrated with remote sensing and census data to identify spatial risk clusters and inform targeted adaptation strategies across 654 administrative unions.
This study demonstrates that integrating satellite-derived, time-varying area-elevation curves into flood-routing models for the Golestan Dam reveals that significant sediment-induced morphological changes substantially alter peak outflows and flood risks, highlighting the necessity of dynamic geometry updates for accurate dam safety and flood management.
This study utilizes remote sensing and machine learning to reveal a 74% decline in forest cover in Baishari Bangdopa, Bangladesh, between 1988 and 2025, and projects that future forest stability depends critically on management interventions, with strict protection potentially tripling current cover by 2050 compared to a near-total collapse under high deforestation scenarios.
This study of peri-urban Oluyole, Nigeria, reveals that despite high environmental awareness, industrial pollution persists due to inadequate waste management infrastructure, sensory-driven risk perceptions, and weak institutional governance, compelling communities to adaptively tolerate pollution for livelihood security.