Results 101 to 110 of about 16,070 (265)

Ichthyofaunal list of the continental slope of the southern Gulf of Mexico. [PDF]

Zookeys, 2019
Ramírez JM, Vázquez-Bader AR, Gracia A.   +2 more
europepmc   +1 more source

Faster growing and more functionally diverse: global change alters functional trait composition of mountain plant communities in the European Alps

Ecography, EarlyView.
Understanding how global change reshapes mountain plant communities is essential for predicting biodiversity and ecosystem function in a warming world. Using resurvey data from over 1400 non‐forest vegetation plots across the European Alps, we show that community‐weighted means of key functional traits capturing important dimensions of plant ecological
Sergey Rosbakh, Sabine B. Rumpf, Stefan Dullinger   +2 more
wiley   +1 more source

Upwelling of Particulate Matter on Continental Slopes

, 2020
Using the method of process-oriented hydrodynamic modelling, this work investigates the dispersal of particles, representing particulate organic matter in the ocean, within stratified fluids. The focus is placed on steady-state Eulerian density fields in which advective and diffusive processes are in balance.
openaire   +1 more source

Synergistic mechanisms foster declines in native fish community stability following the introduction of non‐native species

Ecography, EarlyView.
Non‐native species introductions profoundly alter freshwater communities, yet the mechanisms by which non‐native fishes affect native community stability remain unclear. Using a multi‐decadal dataset on fish community composition and abundance collected across France, we quantified native community stability and decomposed this metric into its main ...
Chengzong Tian, Mengzhen Xu, Congcong Wang, Wei Xin, Xiongdong Zhou, Jorge García‐Girón   +5 more
wiley   +1 more source

Phylogenetic diversity and biotechnological potentials of marine bacteria from continental slope of eastern Arabian Sea. [PDF]

J Genet Eng Biotechnol, 2018
Farha AK, Tr T, Purushothaman A, Salam JA, Hatha AM.   +4 more
europepmc   +1 more source

Steering Industrial Decarbonisation: Explaining OECD Policy Variation

Environmental Policy and Governance, EarlyView.
ABSTRACT The ongoing rise in CO2 emissions driven by energy‐intensive industries highlights the urgent need for targeted policy interventions, with national strategies playing a crucial role in the low‐carbon transition. However, the factors that shape the ambition of industrial decarbonisation policies remain poorly understood.
Ebba Minas
wiley   +1 more source

Bioprospecting potential and secondary metabolite profile of a novel sediment-derived fungus Penicillium sp. ArCSPf from continental slope of Eastern Arabian Sea. [PDF]

Mycology, 2019
Farha AK, Hatha AM.
europepmc   +1 more source

Spatial Variations in Methane Content and Their Main Controlling Factors of the Deep‐Buried Coalbed in the Nalinhe–Hengshan Area, Ordos Basin

Energy Science &Engineering, EarlyView.
Ash yield is the primary geological factor controlling the spatial variations in the total gas content of the deep‐buried coalbed methane in the Nalinhe‐Hengshan area, Ordos Basin. However, porosity dominates the differential enrichment of the free gas content of the deep‐buried coalbed methane in the Nalinhe‐Hengshan area, Ordos Basin.
Shi Yunhe, Wang Kangle, Wang Huaichang, Wang Yufei, Zhang Hui, Cao Jingjing, Yin Liangliang, Hu Xinyou, Liang Chao, Liu Mina   +9 more
wiley   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source