About Automated Biodiversity Monitoring Methods
Automated Biodiversity Monitoring Methods
About this Collection
Introduction: Automated biodiversity monitoring is poised to replace several traditional, human-based sampling methods. Remote and proximal sensing, passive and active sampling, methods based on vision, audition, or chemical cues, as well as electromagnetic radiation (radio, near and far infrared, ultraviolet) sensing and ranging are among the latest technologies that allow to detect, track, measure, and identify organisms across realms.
This collection offers the possibility to publish your latest technological achievements in a dedicated outlet, with the option to update your article as you implement new improvements using F1000Research’s versioning feature. Technological novelty is often hard to appraise and its success depends on sustainable development efforts, thereby making a barrier-free publication process the more valuable.
Challenges: How do we design devices that break free from human sampling limitations and address environmental challenges? How do we deal with the big data generated by these new methods and address power consumption challenges? How do we deal with sampling biases and detection probabilities to attain standardised metrics? How do we combine multiple modes of sensing? How do we effectively integrate machine learning and internet of things into our workflows? How can we use these methods to transition from passive observation to management and conservation interventions? How do we make these new methods accessible, reproducible, user-friendly, and affordable to scale them up in space and time? How do we combine technological approaches with citizen science, while addressing societal and ethical concerns?
Topics include (but are not limited to):
This collection is part of the Ecology and Global Change Gateway, dedicated to providing researchers, policymakers and practitioners with a space to openly discuss and share work related to all areas of ecology and global environmental change.
Any questions about this collection? Please contact: research@f1000.com
This collection offers the possibility to publish your latest technological achievements in a dedicated outlet, with the option to update your article as you implement new improvements using F1000Research’s versioning feature. Technological novelty is often hard to appraise and its success depends on sustainable development efforts, thereby making a barrier-free publication process the more valuable.
Challenges: How do we design devices that break free from human sampling limitations and address environmental challenges? How do we deal with the big data generated by these new methods and address power consumption challenges? How do we deal with sampling biases and detection probabilities to attain standardised metrics? How do we combine multiple modes of sensing? How do we effectively integrate machine learning and internet of things into our workflows? How can we use these methods to transition from passive observation to management and conservation interventions? How do we make these new methods accessible, reproducible, user-friendly, and affordable to scale them up in space and time? How do we combine technological approaches with citizen science, while addressing societal and ethical concerns?
Topics include (but are not limited to):
- DNA metabarcoding
- Remote sensing
- Electromagnetic, hyperspectral sensing
- Acoustic and vision-based monitoring
- Computer vision and audition
- Embedded systems, near-sensor, in-sensor computing
- Open-end and hierarchical classification
This collection is part of the Ecology and Global Change Gateway, dedicated to providing researchers, policymakers and practitioners with a space to openly discuss and share work related to all areas of ecology and global environmental change.
Any questions about this collection? Please contact: research@f1000.com
Collection Advisors
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Kevin Darras
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Tzu-Hao Lin
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