Results 101 to 110 of about 78,228 (266)

Climate‐driven resource availability drives medium‐ and broad‐scale temporal changes in owl–prey interactions over 24 years in a semi‐arid ecosystem

Ecography, EarlyView.
Predator–prey interactions are vital to ecosystem functioning but may be disrupted by climate change. We investigated a food‐web network involving three owl species over 24 years in a semi‐arid ecosystem at Bosque Fray Jorge National Park, Chile.
Jazmin M. Quiroz‐Calizaya, Adriana Lozada, Douglas A. Kelt, Alejandra J. Troncoso, Peter L. Meserve, M. Andrea Previtali, W. Bryan Milstead, Julio R. Gutiérrez, Craig Weideman, Nicolas Gouin, Tyler R. Kartzinel, Karin Maldonado, Angéline Bertin   +12 more
wiley   +1 more source

A Novel Multilevel Conceptual Framework for Flood Risk Governance

Environmental Policy and Governance, EarlyView.
ABSTRACT Globally, flood risk is increasing as climate change progresses. Contemporary flood risk management practice often utilises hydrodynamic modelling (for hazard risk assessments), social vulnerability assessments, and risk communications in silo, which fragments evidence‐based decision‐making for effective flood risk management. We hence develop
Aiperi Stambekova, Avidesh Seenath
wiley   +1 more source

THE METEOROLOGY OF THE ANTARCTIC

Monthly Weather Review, 1921
IN the preface to my book on Antarctic meteorology I wrote, “I was recalled to my work in India when the Terra Nova returned to the Antarctic in January, 1912,” and the reviewer in NATURE of December 23 (p. 528) has very naturally concluded that this meant that I was recalled officially by the Government of India.
openaire   +1 more source

Soil Carbon Markets in the Making: Power Relations and Matters of Concern in Offsetting and Insetting

Environmental Policy and Governance, EarlyView.
ABSTRACT This paper investigates emerging soil carbon markets and seeks to identify the groups of actors and power relations that constitute their structure and function. Voluntary soil carbon markets (VSCMs) are emerging globally as a key mechanism for generating carbon removals as part of climate mitigation efforts.
Philippa Simmonds, Julie Ingram, Damian Maye   +2 more
wiley   +1 more source

The 2025 Kamchatka Earthquake and Tsunami: Cascading Impacts and Risks to Japan

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT On July 29th, 2025, a large earthquake (Mw 8.8) occurred near the Kamchatka Peninsula. This event caused a tsunami that reached Japan's Pacific coast, even though the source was far away. In this study, we analyze the characteristics of earthquakes and tsunamis and discuss how they relate to the recurrence possibility and risk in Japan.
Ampan Laosunthara, An‐Chi Cheng, Yo Fukushima, Yoshinori Shigihara, Natt Leelawat, Anawat Suppasri, Fumihiko Imamura   +6 more
wiley   +1 more source

Empirical Model of Post‐Earthquake Restoration Time for Building Components Based on Data From the 2022 Fukushima‐ken Oki Earthquake in Japan

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Estimation of the time required for damaged building components to return to their pre‐earthquake conditions through repair is a critical element in assessing the seismic resilience of buildings, and it requires consideration of uncertainty.
Tomoaki Nishino, Takeshi Morii, Rie Okazawa, Hiroaki Notake, Aya Hada, Takahiro Matsui   +5 more
wiley   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting

Energy Science &Engineering, EarlyView.
ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che, Bo Wang, Keru Chen, Siqi Yan, Fei Qi   +4 more
wiley   +1 more source