Results 91 to 100 of about 235,200 (216)

Enemy release: loss of parasites in invasive freshwater bivalves Sinanodonta woodiana and Corbicula fluminea

open access: yesEcography, EarlyView.
Invasive freshwater bivalves harm native species, ecosystems and biodiversity, and incur economic costs. The enemy release hypothesis posits that invasive species are released from enemies during the invasion process, giving them a competitive advantage in the new environment.
Binglin Deng   +8 more
wiley   +1 more source

Spatial distribution of acoustic traits in bird assemblages along regional bioclimatic gradients

open access: yesEcography, EarlyView.
Environmental variation shapes acoustic interactions among birds, creating spatial structures in the sonic signature of local species assemblages. Exploring these patterns at regional scales can reveal processes that segregate acoustic strategies along environmental gradients.
Michela Busana   +11 more
wiley   +1 more source

Biogeography of intertidal invertebrates is influenced by latitude along the west coast of Australia

open access: yesEcography, EarlyView.
Along the west coast of Australia, intertidal rock platforms support high invertebrate diversities that provide vital ecosystem services, yet patterns in diversity are not well understood. Here, we document and examine the invertebrate assemblages on intertidal rock platforms in Western Australia and delineate ecoregions according to assemblage ...
Matilda Murley   +2 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan   +8 more
wiley   +1 more source

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

open access: yesEnergy Science &Engineering, EarlyView.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian   +7 more
wiley   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das   +2 more
wiley   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu   +3 more
wiley   +1 more source

Forecasting Natural Gas Futures Price Volatility of the United States: National Versus State‐Level Climate Concern Indexes

open access: yesJournal of Futures Markets, EarlyView.
ABSTRACT This paper uses GARCH‐MIDAS to predict US natural gas futures volatility using national and state‐level Climate Concern Indexes (CCIs). We find that both national and state‐level CCIs positively affect price volatility. Notably, models using state‐level data—specifically those utilizing least‐squares (LS) weighting combinations—surpass the ...
Afees A. Salisu   +3 more
wiley   +1 more source

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