AIMC Topic: Biodiversity
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Bio-inspired robotics in times of ecological crisis: an attempt at self-criticism.
Bioinspiration & biomimetics
Jun 18, 2025
This article attempts to show that current trends in bio-inspired robotics research are incompatible with the transformations needed to address the current ecological crisis. A large part of the scientific community takes refuge behind short-term cha...
Acoustic monitoring for tropical insect conservation.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Jun 12, 2025
Monitoring the species-specific sounds produced by insects could provide us with a rapid, reliable, non-invasive measure of tropical ecosystem health and biodiversity. Although acoustic biodiversity monitoring has made rapid progress over the past de...
Harmful Algae Forecasting through an Ocean Data Justice Lens.
Environmental science & technology
Jun 10, 2025
Forecasting systems for harmful algal blooms (HABs) are becoming more common, as HAB monitoring is increasingly networked and aggregated at national and global scales. Ocean forecasting programs in other fields have had unintended consequences and ou...
A comparison of statistical methods for deriving occupancy estimates from machine learning outputs.
Scientific reports
Apr 27, 2025
The combination of autonomous recording units (ARUs) and machine learning enables scalable biodiversity monitoring. These data are often analysed using occupancy models, yet methods for integrating machine learning outputs with these models are rarel...
Assessment of marine eutrophication: Challenges and solutions ahead.
Marine pollution bulletin
Apr 18, 2025
Marine eutrophication remains a pressing global environmental challenge, demanding urgent advances in science-based assessment frameworks to mitigate its ecological and socio-economic impacts. Current methodologies, however, face critical limitations...
An Approach for Detecting Mangrove Areas and Mapping Species Using Multispectral Drone Imagery and Deep Learning.
Sensors (Basel, Switzerland)
Apr 17, 2025
Mangrove ecosystems are important in tropical and subtropical coastal zones, contributing to marine biodiversity and maintaining marine ecological balance. It is crucial to develop more efficient, intelligent, and accurate monitoring methods for mang...
Spatial and temporal classification and prediction of aspen probability in boreal forests using machine learning algorithms.
Environmental monitoring and assessment
Apr 9, 2025
Mapping and classifying the probability of occurrence of Populus tremula L. (aspen) in boreal forests is a complex task for sustainable forest management and biodiversity conservation. As a key broadleaved species in the taiga region, aspen supports ...
Capillariid diversity in archaeological material from the New and the Old World: clustering and artificial intelligence approaches.
Parasites & vectors
Mar 12, 2025
BACKGROUND: Capillariid nematode eggs have been reported in archaeological material in both the New and the Old World, mainly in Europe and South America. They have been found in various types of samples, as coprolites, sediments from latrines, pits,...
Identifying the combined impact of human activities and natural factors on China's avian species richness using interpretable machine learning methods.
Journal of environmental management
Feb 15, 2025
With human activities-derived escalating climate change and rapid urbanization, avian species face significant survival challenges. Understanding the impact of human activities and environmental drivers on avian species richness is critical for effec...
Making sense of fossils and artefacts: a review of best practices for the design of a successful workflow for machine learning-assisted citizen science projects.
PeerJ
Feb 13, 2025
Historically, the extensive involvement of citizen scientists in palaeontology and archaeology has resulted in many discoveries and insights. More recently, machine learning has emerged as a broadly applicable tool for analysing large datasets of fos...
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