AIMC Topic: Animal Distribution
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Fidelity to territory and mate and the causes and consequences of breeding dispersal in American goshawk (Astur atricapillus).
PloS one
May 22, 2025
Using mark-resight data, we investigated fidelity to territory and mate as well as breeding dispersal rates and the causes and consequences of breeding dispersal in a 20-year study of American goshawks (Astur atricapillus) in Arizona, USA. Generalize...
Understanding and predicting animal movements and distributions in the Anthropocene.
The Journal of animal ecology
Apr 4, 2025
Predicting animal movements and spatial distributions is crucial for our comprehension of ecological processes and provides key evidence for conserving and managing populations, species and ecosystems. Notwithstanding considerable progress in movemen...
Habitat Suitability Modelling for the Red Dwarf Honeybee (Apis florea (Linnaeus)) and Its Distribution Prediction Using Machine Learning and Cloud Computing.
Neotropical entomology
Dec 17, 2024
Apis florea bees were recently identified in Egypt, marking the second occurrence of this species on the African continent. The objective of this study was to track the distribution of A. florea in Egypt and evaluate its potential for invasive behavi...
Machine learning provides insights for spatially explicit pest management strategies by integrating information on population connectivity and habitat use in a key agricultural pest.
Pest management science
May 28, 2024
BACKGROUND: Insect pests have garnered increasing interest because of anthropogenic global change, and their sustainable management requires knowledge of population habitat use and spread patterns. To enhance this knowledge for the prevalent tea pest...
Deep learning identification for citizen science surveillance of tiger mosquitoes.
Scientific reports
Feb 25, 2021
Global monitoring of disease vectors is undoubtedly becoming an urgent need as the human population rises and becomes increasingly mobile, international commercial exchanges increase, and climate change expands the habitats of many vector species. Tr...
Predicting geographic location from genetic variation with deep neural networks.
eLife
Jun 8, 2020
Most organisms are more closely related to nearby than distant members of their species, creating spatial autocorrelations in genetic data. This allows us to predict the location of origin of a genetic sample by comparing it to a set of samples of kn...
Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction.
TheScientificWorldJournal
Sep 21, 2016
Effective prediction of software modules, those that are prone to defects, will enable software developers to achieve efficient allocation of resources and to concentrate on quality assurance activities. The process of software development life cycle...
The combined multilayer perceptron and logistic regression (MLP-LR) method better predicted the spread of Hyphantria cunea (Lepidoptera: Erebidae).
Journal of economic entomology
Jun 13, 2025
Hyphantria cunea (Lepidoptera: Erebidae) is one of the pests that pose a serious threat to forest and agronomic crops in China. Its spread is influenced by various factors, including environmental factors and anthropogenic factors, and the available ...
Assessing Mosquito Breeding Sites and Abundance Using An Unmanned Aircraft.
Journal of the American Mosquito Control Association
Sep 1, 2019
An unmanned aircraft system (UAS; i.e., drone) with an attached multispectral camera was used to quantify accumulated surface water on a 0.54-km tidal marsh that abuts San Francisco Bay, CA, USA. The results of the survey showed unequal accumulation ...
Distribution of the deep-sea genus Bathypterois (Pisces: Ipnopidae) in the Eastern Central Pacific.
Revista de biologia tropical
Mar 1, 2017
The genus Bathypterois (tripod fish) comprises 19 species of deep-sea fishes distributed worldwide. The biology and distribution of the species of this genus are relatively poorly known throughout the Eastern Central Pacific (ECP). This work aims to ...
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