1493 papers
This study integrates attack records and species distribution models to map high-risk areas for dog attacks on five native Taiwanese mammals, revealing that threats are concentrated in low-to-mid elevation human-wildlife interface zones outside protected areas, thereby highlighting the urgent need to leverage the Taiwan Ecological Network for targeted dog control and conservation.
This study demonstrates that integrating seismic attributes with petrophysical analysis of well logs and 3D seismic data effectively characterizes reservoir quality, delineates hydrocarbon-bearing zones within fault-controlled structures, and identifies prospective undrilled targets in the "MD" Field of the onshore Niger Delta.
This study reconstructs five centuries of British and Irish bottom trawling to reveal that by 1925, industrial fishing had mobilized sediment masses comparable to the Amazon River's annual flux, fundamentally altering seabed ecosystems and demonstrating that modern scientific baselines already reflect centuries of anthropogenic disturbance.
This study demonstrates that UAV-based thermal sensing effectively captures high-resolution diurnal land surface temperature variations across diverse materials in a tropical urban setting, revealing how surface properties and color drive localized Urban Heat Island dynamics to inform climate-resilient design.
This study reveals that heavy metals, particularly cadmium, from anthropogenic petroleum activities have caused extremely high ecological risks and contamination in the surface water of Kidaro Creek, Niger Delta, while sediment contamination remains relatively low.
This study demonstrates that accounting for sampling bin-width-dependent heteroscedasticity using an inverse Gaussian generalized linear model significantly improves the robustness of zooplankton abundance predictions in the Southern Ocean compared to traditional log-transformed Gaussian models, thereby preventing biased ecological inferences.
This study demonstrates that the AlphaEarth foundation model's surface embeddings serve as a versatile shared geospatial representation for inferring diverse subsurface properties, acting either as augmenting features alongside traditional covariates or as primary descriptors depending on the target physics and prediction scale.
This study analyzes crop carbon emissions in Southwest China from 2011 to 2023, revealing that agricultural policies with a three-period lag significantly reduce emissions through direct and spatial spillover effects, while forecasting a continued downward trend through 2030 to support differentiated regional governance strategies.
This study demonstrates that the open-source PlanktoScope imaging system, combined with Ecotaxa, serves as a powerful, cost-effective tool for high-frequency monitoring of plankton community dynamics in La Paz Bay, successfully capturing seasonal shifts in composition and biomass that correlate with satellite-derived chlorophyll-a data.
By combining machine learning land classification with archaeological survey data, this study demonstrates that Early Holocene pastoralist occupation in the arid Eurasian Steppe was not uniform but was instead structured by a reliance on rare, resource-rich microenvironments that served as thermal refugia and productive plant communities, particularly during summer months.