AIMC Topic: Animal Migration
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Exploring the spatiotemporal influence of climate on American avian migration with random forests.
Scientific reports
Jul 1, 2025
Birds have adapted to climatic and ecological cycles to inform their Spring and Fall migration timings, but anthropogenic global warming has affected these long-establish cycles. Understanding these dynamics is critical for conservation during a chan...
Delayed flowering phenology of red-flowering plants in response to hummingbird migration.
Current biology : CB
Apr 14, 2025
The radiation of angiosperms is marked by a phenomenal diversity of floral size, shape, color, scent, and reward. The multi-dimensional response to selection to optimize pollination has generated correlated suites of these floral traits across distan...
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...
To save wildlife from fences, scientists turn to AI.
Science (New York, N.Y.)
Aug 22, 2024
The research uses aerial imagery to pinpoint structures that could block migratory pronghorn and other wildlife.
An Improved Migratory Birds Optimization Algorithm for Closed- Loop Supply Chain Network Planning in a Fuzzy Environment.
PloS one
Jun 27, 2024
Recycling of used products can provide substantial economic and environmental benefits for supply chain players. However, many factors associated with the design of closed-loop supply chain networks are uncertain in their nature, including demand, op...
Domain randomization-enhanced deep learning models for bird detection.
Scientific reports
Jan 12, 2021
Automatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we apply the d...
Machine learning for modeling animal movement.
PloS one
Jul 27, 2020
Animal movement drives important ecological processes such as migration and the spread of infectious disease. Current approaches to modeling animal tracking data focus on parametric models used to understand environmental effects on movement behavior...
Reconstruction of long-distance bird migration routes using advanced machine learning techniques on geolocator data.
Journal of the Royal Society, Interface
Jun 19, 2019
Geolocators are a well-established technology to reconstruct migration routes of animals that are too small to carry satellite tags (e.g. passerine birds). These devices record environmental light-level data that enable the reconstruction of daily po...
Magnetic body alignment in migratory songbirds: a computer vision approach.
The Journal of experimental biology
Mar 11, 2019
Several invertebrate and vertebrate species have been shown to align their body relative to the geomagnetic field. Many hypotheses have been proposed to explain the adaptive significance of magnetic body alignment outside the context of navigation. H...
Identification of Migratory Insects from their Physical Features using a Decision-Tree Support Vector Machine and its Application to Radar Entomology.
Scientific reports
Apr 3, 2018
Migration is a key process in the population dynamics of numerous insect species, including many that are pests or vectors of disease. Identification of insect migrants is critically important to studies of insect migration. Radar is an effective mea...
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