AIMC Topic: Biodiversity
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Using fuzzy logic to determine the vulnerability of marine species to climate change.
Global change biology
Sep 26, 2017
Marine species are being impacted by climate change and ocean acidification, although their level of vulnerability varies due to differences in species' sensitivity, adaptive capacity and exposure to climate hazards. Due to limited data on the biolog...
Vertical zonation and functional diversity of fish assemblages revealed by ROV videos at oil platforms in The Gulf.
Journal of fish biology
Aug 3, 2017
An assessment of vertical distribution, diel migration, taxonomic and functional diversity of fishes was carried out at offshore platforms in The (Arabian-Iranian-Persian) Gulf. Video footage was recorded at the Al Shaheen oil field between 2007 and ...
Predicting the Ecological Quality Status of Marine Environments from eDNA Metabarcoding Data Using Supervised Machine Learning.
Environmental science & technology
Jul 25, 2017
Monitoring biodiversity is essential to assess the impacts of increasing anthropogenic activities in marine environments. Traditionally, marine biomonitoring involves the sorting and morphological identification of benthic macro-invertebrates, which ...
Next-Generation Global Biomonitoring: Large-scale, Automated Reconstruction of Ecological Networks.
Trends in ecology & evolution
Mar 27, 2017
We foresee a new global-scale, ecological approach to biomonitoring emerging within the next decade that can detect ecosystem change accurately, cheaply, and generically. Next-generation sequencing of DNA sampled from the Earth's environments would p...
Modeling of Beta Diversity in Tunisian Waters: Predictions Using Generalized Dissimilarity Modeling and Bioregionalisation Using Fuzzy Clustering.
PloS one
Jul 6, 2015
Spatial patterns of beta diversity are a major focus of ecology. They can be especially valuable in conservation planning. In this study, we used a generalized dissimilarity modeling approach to analyze and predict the spatial patterns of beta divers...
Inferring landscape-scale land-use impacts on rivers using data from mesocosm experiments and artificial neural networks.
PloS one
Mar 16, 2015
Identifying land-use drivers of changes in river condition is complicated by spatial scale, geomorphological context, land management, and correlations among responding variables such as nutrients and sediments. Furthermore, variations in standard me...
ENVIRONMENTS and EOL: identification of Environment Ontology terms in text and the annotation of the Encyclopedia of Life.
Bioinformatics (Oxford, England)
Jan 24, 2015
UNLABELLED: The association of organisms to their environments is a key issue in exploring biodiversity patterns. This knowledge has traditionally been scattered, but textual descriptions of taxa and their habitats are now being consolidated in centr...
Temporal insights into ecological community: Advancing waterbird monitoring with dome camera and deep learning.
Journal of environmental management
Jul 1, 2025
Biodiversity monitoring is critical for conservation and management. However, efficient species monitoring is often hindered by the complexities of ecological dynamics and the constraints of conventional techniques. This study presents an automated o...
Comparing point counts, passive acoustic monitoring, citizen science and machine learning for bird species monitoring in the Mount Kenya ecosystem.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Jun 12, 2025
Biodiversity loss is a pressing challenge, with ecosystems across the world under threat from factors such as human encroachment, over exploitation and climate change. It is important to increase ecosystem monitoring efforts to provide actionable ins...
Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age.
Nature ecology & evolution
Jun 1, 2025
With biodiversity loss escalating globally, a step change is needed in our capacity to accurately monitor species populations across ecosystems. Robotic and autonomous systems (RAS) offer technological solutions that may substantially advance terrest...
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