AIMC Topic: Biodiversity

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Artificial vision models for the identification of Mediterranean flora: An analysis in four ecosystems.

PloS one
Object identification has been widely used in several applications, utilising the annotated data with bounding boxes to specify each object's exact location and category in images and videos. However, relatively little research has been conducted on ...

Trait mediation explains decadal distributional shifts for a wide range of insect taxa.

Nature communications
Shifts in insect distributions have been reported globally, largely attributed to climate and landscape changes. Communities are being reshaped, with species response traits mediating the effects of changing environments. Using a machine-learning app...

New insights into soil bacteria communities in Beijing urban greenspace based on urbanization gradient.

The Science of the total environment
Research on urban soils has traditionally neglected two significant dimensions: the spatial heterogeneity emerging within megacity resulting from varying urbanization rates, and the dynamic responses of soil microbial communities to ongoing urban exp...

Assessment of plant diversity index in degraded desert grassland using UAV hyperspectral multimodal data and Encoder-CNN.

Scientific reports
The biodiversity function of the desert steppe ecosystem faces many challenges under the pressure of climate change and human activities. Accurate and efficient assessment of plant diversity is critical for guiding desert steppe restoration efforts. ...

Impact of deep learning and post-processing algorithms performances on biodiversity metrics assessed on videos.

PloS one
Assessing the escalating biodiversity crisis, driven by climate change, habitat destruction, and exploitation, necessitates efficient monitoring strategies to assess species presence and abundance across diverse habitats. Video-based surveys using re...

Species richness is an important mediator of multifunctionality changes in Hobq desert shrub ecosystem.

Scientific reports
Studying the biodiversity and multifunctionality relationships of the Hobq Desert shrub ecosystem and its response to environmental factors is crucial for ecological restoration in the region. In this study, we examined variations in biodiversity and...

Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels.

Scientific data
Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. However, the training of such models requires large amounts of labelled data and not al...

The apportionment of dietary diversity in wildlife.

Proceedings of the National Academy of Sciences of the United States of America
Evaluating species' roles in food webs is critical for advancing ecological theories on competition, coexistence, and biodiversity but is complicated by pronounced dietary variability within species and overlap across species. We combined dietary DNA...

Tecomella undulata under threat: The impact of climate change on the distribution of a valuable tree species using a machine learning model.

PloS one
Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. This study assessed the current and future distribution of Tecomella undulata (Desert teak), an economically and medicinally...

Drivers of fish diversity and size spectra across lagoonal habitats of the Toliara reef system (SW Madagascar).

Marine environmental research
Size-spectra and taxonomic diversity are important indicators to study the dynamics of communities and to inform conservation in aquatic ecosystems. To date, few studies aimed at modelling the distribution of reef fish diversity at small spatial scal...