Results 221 to 230 of about 57,699 (297)

Climate and Land‐Use Change May Reshape the Biogeography of Freshwater Crabs Across China

open access: yesEcology and Evolution, Volume 16, Issue 5, May 2026.
We employed ensemble species distribution models to investigate how climate and land‐use change will impact habitat suitability for two freshwater crab families (Potamidae and Sesarmidae) across China. Temperature emerged as the dominant driver, with cropland and urban land having strong, family‐specific effects on suitability. Future scenarios predict
Yiting Geng   +6 more
wiley   +1 more source

Current Protections and Future Threats to Say's Spiketail Habitat in the Southeastern USA

open access: yesEcology and Evolution, Volume 16, Issue 5, May 2026.
Dragonflies and damselflies are important indicators of ecological integrity and environmental quality but remain underrepresented in conservation efforts, in part due to a lack of quantitative information regarding their habitat requirements. Species distribution models (SDMs) can facilitate conservation planning by allowing researchers to estimate ...
J. Matthew Flenniken   +2 more
wiley   +1 more source

High-speed quantitative X-ray multi-contrast imaging with deep learning based modulated pattern analysis. [PDF]

open access: yesJ Synchrotron Radiat
Qiao Z   +8 more
europepmc   +1 more source

Seismic Fragility Analysis of Containment Structures in Nuclear Power Plants Considering Alkali‐Silica Reaction

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 6, Page 1467-1487, May 2026.
ABSTRACT This study quantifies the influence of alkali‐silica reaction (ASR) on the seismic fragility of prestressed concrete containment structures in nuclear power plants (NPPs). Global collapse was considered as the governing failure mode to maintain consistency with current risk assessment frameworks, and was captured using a finite element model ...
Chanyoung Kim   +3 more
wiley   +1 more source

Landslide susceptibility mapping using a machine learning approach and different environmental factors in the Western Ghats region (India)

open access: yesEarth Surface Processes and Landforms, Volume 51, Issue 5, May 2026.
Landslide susceptibility mapping in India's Western Ghats using machine learning revealed high‐risk zones driven by deforestation, slope alteration and road proximity. The Random Forest model showed highest accuracy, supporting targeted mitigation, planning and early warning systems.
Manoranjan Mishra   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy