Results 131 to 140 of about 148,644 (296)
Evaluation of Depth-frequency Equations for Determining Flood Depths [PDF]
, 1982 published or submitted for publicationis peer ...
Lardner, John P., Terstriep, Michael L.
core
Dutch dilemma: Housing prices and flood risk exposure
Real Estate Economics, EarlyView.Abstract This article studies the impact of flood risk exposure on housing prices in a major river delta. Analyzing 1.8 million property transactions from 1998 to 2023 in the Netherlands, we find an average price discount of 1.1%. We observe considerable heterogeneity in price effects driven by exposure intensity, institutional settings that vary ...
Piet Eichholtz +2 more
wiley +1 more source
Integrative Zoology, EarlyView.Ecological differences between species may result in differential impacts of control measures. Our experimental study showed that intensive removal of rodents from houses (mostly Rattus rattus) resulted in increased use of houses by Mastomys natalensis, a species usually found outdoors. Our results suggest that M.
Herieth Mkomwa +7 more
wiley +1 more source
Central European Forestry JournalThe coexistence of spiders in the Central European floodplains of the Danube River was assessed at 18 study sites (more than 43,000 individuals identified). Environmental conditions, i.e. groundwater level, flood regime, vegetation and tree shading, were
Krumpálová Zuzana, Šustek Zbyšek
doaj +1 more source
Analysis of soils from cassava farms in floodplain terrain
, 2016 Roland Clement Abah +1 more
openalex +2 more sources
Predicting animal movement with deepSSF: A deep learning step selection framework
Methods in Ecology and Evolution, EarlyView.Abstract Predictions of animal movement are vital for understanding and managing wild populations. However, the fine‐scale, complex decision‐making of animals can pose challenges for the accurate prediction of trajectories. Integrated step selection functions (iSSFs), a common tool for inferring relationships between animal movement and the environment,
Scott W. Forrest +6 more
wiley +1 more source
Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty
Methods in Ecology and Evolution, EarlyView.Abstract Animal‐worn sensors have revolutionised the study of animal behaviour and ecology. Accelerometers, which measure changes in acceleration across planes of movement, are increasingly being used in conjunction with machine learning models to classify animal behaviours across taxa and research questions.
Medha Agarwal +4 more
wiley +1 more source