Results 111 to 120 of about 45,763 (274)
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden +8 more
wiley +1 more source
Multi-destination and multi-purpose trip effects in the analysis of the demand for trips to a remote recreational site [PDF]
One of the basic assumptions of the travel cost method for recreational demand analysis is that the travel cost is always incurred for a single purpose recreational trip.
Joe Amoako-Tuffour +1 more
core
Models for Overdispersed Data in Entomology
Entomological data are often overdispersed, characterised by a larger variance than assumed by simple standard models. It is important to model overdispersion properly in order to avoid incorrect and misleading inferences. Outcomes of interest are often in the form of counts or proportions and we present extended models that incorporate overdispersion,
Demétrio, Clarice G. B. +2 more
openaire +1 more source
ABSTRACT Mancozeb is one of the most widely used agricultural fungicides, exhibiting strong efficacy against a broad spectrum of phytopathogenic fungi. However, its widespread application comes at the cost of environmental contamination. Here, we show the effects of Inga vera leaf litter contamination with Mancozeb on life‐history traits of Aedes ...
Heloise Restello Remus +8 more
wiley +1 more source
Smooth-car mixed models for spatial count data [PDF]
Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure.
Dae-Jin Lee, Maria Durban
core
Drones are used to monitor bird nesting sites at less accessible locations, such as on cliffs, human infrastructure, or within the tree canopy. While there are a growing number of studies documenting avian behavioral responses to various drones, there is a continued need to monitor taxa‐specific responses to different drone models. We explored both the
Natasha K. Murphy +4 more
wiley +1 more source
Modeling response variables in the form of count data generally uses a model based on the Poisson distribution. However, some conditions, such as the presence of excess zero, can be found in the data that result in overdispersion, which will have an ...
Dwi Agustin Nuriani Sirodj +2 more
doaj +1 more source
Maximizing the detection probabilities of dusky grouse for population monitoring
Despite its status as a game species in the western USA, rigorous monitoring of dusky grouse Dendragapus obscurus populations is limited. Obtaining an adequate number of observations for effective population monitoring of dusky grouse is challenging due to difficult‐to‐reach montane habitats, cryptic behaviors, and limited personnel, time, and funds at
Elizabeth A. Leipold +2 more
wiley +1 more source
This study aims to identify key factors influencing high school dropout rates in Indonesia by applying advanced statistical modeling that accounts for complex data characteristics.
Arna Ristiyanti Tarida +2 more
doaj +1 more source
Drones equipped with thermal infrared (TIR) cameras offer significant time and labor savings in estimating wild ungulate populations. However, accurately monitoring forest‐dwelling ungulates remains challenging due to their elusive behavior and complex habitat.
Jinhwi Kim, Donggul Woo
wiley +1 more source

