Emerging technologies revolutionise insect ecology and monitoring
Insects are the most diverse group of animals on Earth, but their small size and high diversity
have always made them challenging to study. Recent technological advances have the …
have always made them challenging to study. Recent technological advances have the …
Machine learning and deep learning—A review for ecologists
The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
Digital innovations for sustainable and resilient agricultural systems
R Finger - European Review of Agricultural Economics, 2023 - academic.oup.com
Digitalisation is rapidly transforming the agri-food sector. This paper investigates emerging
opportunities, challenges and policy options. We show that digital innovations can contribute …
opportunities, challenges and policy options. We show that digital innovations can contribute …
[HTML][HTML] Biodiversity indicators for result-based agri-environmental schemes–Current state and future prospects
CONTEXT Many agricultural policies target the conservation of biodiversity worldwide.
Result-based agri-environmental schemes can be more effective and efficient than the more …
Result-based agri-environmental schemes can be more effective and efficient than the more …
Photographs as an essential biodiversity resource: drivers of gaps in the vascular plant photographic record
The photographic record is increasingly becoming an important biodiversity resource for
primary research and conservation monitoring. However, globally, there are important gaps …
primary research and conservation monitoring. However, globally, there are important gaps …
Digital twins: dynamic model-data fusion for ecology
Digital twins (DTs) are an emerging phenomenon in the public and private sectors as a new
tool to monitor and understand systems and processes. DTs have the potential to change …
tool to monitor and understand systems and processes. DTs have the potential to change …
Deep learning in plant phenological research: A systematic literature review
Climate change represents one of the most critical threats to biodiversity with far-reaching
consequences for species interactions, the functioning of ecosystems, or the assembly of …
consequences for species interactions, the functioning of ecosystems, or the assembly of …
[PDF][PDF] A review of invasive species reporting apps for citizen science and opportunities for innovation
L Howard, CB van Rees, Z Dahlquist, G Luikart… - …, 2022 - neobiota.pensoft.net
Smartphone apps have enhanced the potential for monitoring of invasive alien species (IAS)
through citizen science. They now have the capacity to massively increase the volume and …
through citizen science. They now have the capacity to massively increase the volume and …
Citizen science plant observations encode global trait patterns
Global maps of plant functional traits are essential for studying the dynamics of the terrestrial
biosphere, yet the spatial distribution of trait measurements remains sparse. With the …
biosphere, yet the spatial distribution of trait measurements remains sparse. With the …
Citizen science's transformative impact on science, citizen empowerment and socio-political processes
J von Gönner, TM Herrmann, T Bruckermann… - Socio-Ecological …, 2023 - Springer
Citizen science (CS) can foster transformative impact for science, citizen empowerment and
socio-political processes. To unleash this impact, a clearer understanding of its current …
socio-political processes. To unleash this impact, a clearer understanding of its current …