AIMC Topic: Introduced Species

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Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework.

PLoS computational biology Dec 29, 2021
Invasive rodent populations pose a threat to biodiversity across the globe. When confronted with these invaders, native species that evolved independently are often defenseless. CRISPR gene drive systems could provide a solution to this problem by sp...
Models, Genetic Population Dynamics Supervised Machine Learning Animals Male Rats Pest Control, Biological Gene Drive Technology Population Control Biodiversity Clustered Regularly Interspaced Short Palindromic Repeats Introduced Species Female
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Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning.

Sensors (Basel, Switzerland) Sep 13, 2021
Invasive alien plant species (IAPS) pose a threat to biodiversity as they propagate and outcompete natural vegetation. In this study, a system for monitoring IAPS on the roadside is presented. The system consists of a camera that acquires images at h...
Neural Networks, Computer Deep Learning Plants Biodiversity Introduced Species
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Predicting direct and indirect non-target impacts of biocontrol agents using machine-learning approaches.

PloS one Jun 1, 2021
Biological pest control (i.e. 'biocontrol') agents can have direct and indirect non-target impacts, and predicting these effects (especially indirect impacts) remains a central challenge in biocontrol risk assessment. The analysis of ecological netwo...
Phylogeny Forests Diptera Machine Learning Animals Pest Control, Biological Lepidoptera Host-Parasite Interactions Food Chain Hymenoptera Introduced Species
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Recent biological invasion shapes species recognition and aggressive behaviour in a native species: A behavioural experiment using robots in the field.

The Journal of animal ecology Apr 11, 2020
Invasive species are a world-wide threat to biodiversity. Yet, our understanding of biological invasions remains incomplete, partly due to the difficulty of tracking and studying behavioural interactions in recently created species interactions. We t...
Introduced Species Aggression Lizards Animals Male Robotics Sympatry
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Machine learning with the hierarchy-of-hypotheses (HoH) approach discovers novel pattern in studies on biological invasions.

Research synthesis methods Aug 5, 2019
Research synthesis on simple yet general hypotheses and ideas is challenging in scientific disciplines studying highly context-dependent systems such as medical, social, and biological sciences. This study shows that machine learning, equation-free s...
Review Literature as Topic Biology Ecology Asia Geography Introduced Species Models, Statistical Decision Trees Data Interpretation, Statistical Animals Ecosystem Artificial Intelligence Machine Learning Algorithms Research Design Reproducibility of Results
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Metabarcoding and machine learning analysis of environmental DNA in ballast water arriving to hub ports.

Environment international Jan 17, 2019
While ballast water has long been linked to the global transport of invasive species, little is known about its microbiome. Herein, we used 16S rRNA gene sequencing and metabarcoding to perform the most comprehensive microbiological survey of ballast...
Machine Learning China Bacteria Escherichia coli RNA, Ribosomal, 16S Introduced Species Singapore Los Angeles South Africa DNA Barcoding, Taxonomic Ships Water Microbiology
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Mapping the Potential Global Codling Moth (Cydia pomonella L.) Distribution Based on a Machine Learning Method.

Scientific reports Aug 30, 2018
The spread of invasive species may pose great threats to the economy and ecology of a region. The codling moth (Cydia pomonella L.) is one of the 100 worst invasive alien species in the world and is the most destructive apple pest. The economic losse...
Introduced Species Models, Biological Acclimatization Moths Machine Learning Animals
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An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 12, 2018
Variable selection plays a key role in classification and multivariate calibration. Variable selection methods are aimed at choosing a set of variables, from a large pool of available predictors, relevant to the analyte concentrations estimation, or ...
Artificial Intelligence Algorithms Wine Calibration Gasoline Plant Weeds Introduced Species Least-Squares Analysis Triticum
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Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.

Sensors (Basel, Switzerland) Jan 14, 2016
Surveying threatened and invasive species to obtain accurate population estimates is an important but challenging task that requires a considerable investment in time and resources. Estimates using existing ground-based monitoring techniques, such as...
Introduced Species Forests Geographic Information Systems Algorithms Humans Environmental Monitoring Endangered Species User-Computer Interface Animals Artificial Intelligence Equipment Design Video Recording Image Processing, Computer-Assisted Animals, Wild Aircraft
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