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Bernardini, Valeria; Solimini, Angelo G.; Carchini, Gianmaria

doi:10.1023/a:1004153703748

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…Every basal, zooplankton, and macroinvertebrate node was digitally photographed with scale reference using a camera Samsung 12 mp (4032 × 3024, JPG format), and measured using Image J software (Schneider et al, 2012 ). The biovolume (μm 3 /org) of the basal, zooplankton, and macroinvertebrate individuals was calculated using geometric models according to Sun and Liu ( 2003 ), Hillebrand et al ( 1999 ), Ruttner‐Kolisko ( 1977 ), Alcaraz et al ( 2003 ), and Bernardini et al ( 2000 ). Biovolume was transformed to fresh weight (FW) using the following ratio 1 μg = 10 6 μm 3 , assuming specific weight of water = 1.…”

Section: Methodsmentioning

confidence: 99%

Impacts of extreme climatic events on trophic network complexity and multidimensional stability

Polazzo

Hermann

Minaglia

et al. 2023

Ecology

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Untangling the relationship between network complexity and ecological stability under climate change is an arduous challenge for theoretical and empirical ecology. Even more so, when considering extreme climatic events. Here, we studied the effects of extreme climatic events (heatwaves) on the complexity of realistic freshwater ecosystems using topological and quantitative trophic network metrics. Next, we linked changes in network complexity with the investigation of four stability components (temporal stability, resistance, resilience, and recovery) of community's functional, compositional, and energy flux stability. We found reduction in topological network complexity to be correlated with reduction of functional and compositional resistance.However, temperature-driven increase in link-weighted network complexity increased functional and energy flux recovery and resilience, but at the cost of increased compositional instability. Overall, we propose an overarching approach to elucidate the effects of climate change on multidimensional stability through the lens of network complexity, providing helpful insights for preserving ecosystems stability under climate change.

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Section: Methodsmentioning

confidence: 99%

Impacts of extreme climatic events on trophic network complexity and multidimensional stability

Polazzo

Hermann

Minaglia

et al. 2023

Ecology

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“…The absence of a standardized protocol for imaging this type of organism may cause bias or overfitting in the result due to issues such as the classification threshold area and the adopted animal posture [85]. As a result of the close phylogenetic relationships between levels of taxonomic resolution, namely phylum, class, order, genus, family, and species and the ecological characteristics they exhibit, there is a need for greater availability of images at all levels [68,85]. In addition, there is an absence of better methods to create more robust databases containing more classes [55].…”

Section: Gaps In Automatic Classificationmentioning

confidence: 99%

“…Description of available open-access databases. The use of spatial scales and fractal indices to detect biomass/body size relationship of FwM [89] or body dimensions [85], and to determine soil affectation to micro-porosity left by the burrowing system of FwM [90].…”

Section: Appendix Bmentioning

confidence: 99%

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Computer-Assisted Bioidentification Using Freshwater Macroinvertebrates: A Scoping Review

Cruz-Cruz

López

Vargas-Cañas

et al. 2022

Water

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Background: Evaluation and prediction of the freshwater status based on freshwater macroinvertebrates (FwM) has become valuable in bioindication because they provide a more general and accurate picture of the ecological status of water bodies over time. Recent research on bioindication through FwM has increased the use of computational technologies, mainly in the classification and data analysis stages of water quality assessment and prediction. Objective: This scoping review aims to provide an overview of different approaches in computer-assisted bioindication with FwM. Particularly, the objective is to identify the techniques and strategies employed for FwM automatic classification or data treatment, characterize their use in recent years, and discuss gaps and challenges to broaden the scope of bioindication as a tool for understanding real conditions in a water body. Design: The scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) extension for scoping reviews (ScR). Scopus and Web of Science databases were used to identify articles published between 1999 and 2022. We selected 81 publications that used computational technology for automatic FwM classification or data analysis to predict water quality using biological indices. Results and conclusions: We identified two areas of applying computational technologies in bioindication studies with FwM. Firstly, computer-assisted technologies are used to evaluate water quality through samples already classified by human experts which correspond to 57% of the documents analyzed. The second application area is the automatic classification of FwM. In addition, we determined the main critical factors affecting strategy selection in each of the studies, such as taxonomic resolution, sample size and quality, image quality, data size, and complexity. Finally, we established the relationship between the strategies and algorithms employed in a timeline for automatic classification according to available FwM image databases. The research will allow taxonomic and related experts to better understand the role of computational technologies in FwM studies and thus increase confidence in these techniques to extend their use in bioassessment tasks.

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Imagery at the Organismic Level: From Body Shape Descriptions to Micro‐Scale Analyses

Sagnes

2012

Fluvial Remote Sensing for Science and Management

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Untitled

Cited by 11 publications

References 9 publications

Impacts of extreme climatic events on trophic network complexity and multidimensional stability

Impacts of extreme climatic events on trophic network complexity and multidimensional stability

Computer-Assisted Bioidentification Using Freshwater Macroinvertebrates: A Scoping Review

Imagery at the Organismic Level: From Body Shape Descriptions to Micro‐Scale Analyses

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