A NOVEL FRAMEWORK TO PREDICT RELATIVE HABITAT SELECTION IN AQUATIC SYSTEMS: APPLYING MACHINE LEARNING AND RESOURCE SELECTION FUNCTIONS TO ACOUSTIC TELEMETRY DATA FROM MULTIPLE SHARK SPECIES

A Novel Framework to Predict Relative Habitat Selection in Aquatic Systems: Applying Machine Learning and Resource Selection Functions to Acoustic Telemetry Data From Multiple Shark Species

Resource selection functions (RSFs) have been widely applied to animal tracking data to examine relative habitat selection and to help guide management and conservation strategies.While readily used in terrestrial ecology, RSFs have yet to be extensively used within marine systems.As acoustic telemetry continues to be a pervasive approach within Ba

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Modern Climate and Soil Properties Explain Functional Structure Better Than Phylogenetic Structure of Plant Communities in Northern China

Examination of the mechanisms of the plant community assembly at a geographical scale is an interesting topic in ecology and biogeography, which are of great significance for the understanding of species coexistence and biodiversity conservation.But so far, only a few studies have simultaneously assessed the relative roles of multiple-scale factors

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3D radiation map reconstruction strategy using Gaussian process regression with attenuation effects and radiation characteristics

Recently, 3D radiation field reconstruction using data collected by robot Wallets has been examined to reduce radiation exposure to workers inside and outside nuclear facilities.Many studies have proposed radiation field reconstruction methods that consider radiation diffusion characteristics; however, they often face challenges in accounting for t

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