Temperature seasonality most strongly associated with Atlantic Forest bee richness
A modeling study of 466 native bee species found that temperature seasonality was the strongest biome-wide predictor of Atlantic Forest ...
A modeling study of 466 native bee species found that temperature seasonality was the strongest biome-wide predictor of Atlantic Forest ...
An abstract reports that 8.8%–14.1% of urban-core grids in four Chinese cities combined high surface heat with limited blue-green resources ...
A new high-resolution mapping study shows that drought, wildfire and social vulnerability combine to expose more than half of Iran's ...
A leakage-controlled machine learning framework converts heterogeneous European emission products into metal-specific datasets, achieving high accuracy for cadmium, mercury, and ...
A new spatial modeling study estimates that parasitic Striga weeds cost African maize farmers about US$1.04 billion annually and shows ...
Researchers used logistic regression and support vector machine models to map potential mountain climbing sites across Morocco's Eastern High Atlas, ...
A first-of-its-kind systematic review of 190 studies finds that HASM, Euclidean-enhanced machine learning, and Bayesian Maximum Entropy each excel under ...
A spatially explicit modeling study projects that forest cover in Brazil's São Francisco River Basin could fall by up to ...
A new spatially explicit model shows that simultaneous, merging land-use events make species loss accelerate abruptly at later conversion stages, ...
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© 2025 Scienmag - Science Magazine