Results 241 to 250 of about 363,287 (369)

Flexible methods for species distribution modeling with small samples

open access: yesEcography, EarlyView.
Species distribution models (SDMs) predict where species live or could potentially live and are a key resource for ecological research and conservation decision‐making. However, current SDM methods often perform poorly for rare or inadequately sampled species, which include most species on earth, as well as most of those of the greatest conservation ...
Brian S. Maitner   +4 more
wiley   +1 more source

Precipitation and tree biomass correlate with the diversity and functional composition of tropical rainforest cricket assemblages across climate and disturbance gradients

open access: yesEcography, EarlyView.
Disturbance‐driven changes in rainforest structure and environmental conditions can alter ecosystem functioning, yet the consequences for invertebrate communities – key contributors to decomposition, herbivory, and trophic interactions – are not fully understood, particularly in relation to structural changes in vegetation.
Charlotte E. Raven   +5 more
wiley   +1 more source

Seismic Design of Concrete Dams: An Integrated Risk‐Informed Performance‐Based (RIPB) Framework

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This paper advances the integration of risk‐informed principles into the seismic design of dams—a domain long guided by standards‐based, largely deterministic approaches. While performance‐based earthquake engineering is well established for buildings and bridges, its systematic adoption in dam engineering remains limited. We first address two
M. Amin Hariri‐Ardebili, Larry K. Nuss
wiley   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

open access: yesEnergy Science &Engineering, EarlyView.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali   +6 more
wiley   +1 more source

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