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Methods in Ecology and Evolution
Scopus
ISSN 2041-210X · Wiley · 963 artikel di indeks
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Artikel Jurnal
Random encounter modelling as a viable method to estimate absolute abundance of reef fish
Abstract Remote underwater video (RUV) surveys are increasingly replacing diver‐based underwater visual censuses (UVCs) in fish ecology studies, especially on coral reefs. However, extracting reliable estimates of abundance or density from video footage is a major challenge, with most studies using…
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Artikel Jurnal
A capture–recapture framework for combining biologging data with physical captures to decompose and estimate demographic rates: Simulations across life cycles and application to polar bears
Abstract Estimating demographic rates of wild populations is critical to understanding their dynamics but can be challenging because large amounts of data are required, and parts of the life cycle of individuals may be unobserved. In numerous research programmes, capture–recapture (CR) data and…
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Artikel Jurnal
Early warning signal for river‐borne diseases with almost no data
Abstract Effective management of emerging river‐borne diseases requires early prediction of pathogen spatial distributions. However, data on pathogen locations are notoriously rare in the beginning of disease outbreaks and insufficient to feed existing predictive models. We extended hidden Markov…
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Artikel Jurnal
Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty
Abstract Animal‐worn sensors have revolutionised the study of animal behaviour and ecology. Accelerometers, which measure changes in acceleration across planes of movement, are increasingly being used in conjunction with machine learning models to classify animal behaviours across taxa and research…
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Artikel Jurnal
Location–scale models in ecology and evolution: Heteroscedasticity in continuous, count and proportion data
Abstract Biological data often violate the assumption of constant variance, yet such heteroscedasticity can reflect meaningful biological processes such as plasticity, canalization or stress responses. Despite this, most models treat variance as statistical noise. Here, we reintroduce…
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Artikel Jurnal
Animal geolocation with convolution algorithms in Julia and R via Wahoo.jl
Abstract Animal geolocation is the core of movement ecology. In aquatic ecosystems, electronic tagging and tracking technologies, such as passive acoustic telemetry systems and biologging sensors, are widely deployed. However, statistical estimation of individual locations from these datasets can…
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Artikel Jurnal
Quantifying functionally equivalent species and ecological network dissimilarity with optimal transport distances
Abstract Quantifying the structure and dynamics of species interactions in ecological communities is fundamental to studying ecology and evolution. While there are numerous approaches to analysing ecological networks, there is not yet an approach that can (1) quantify dissimilarity in the global…
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Artikel Jurnal
theRmalUAV: An R package to clean and correct thermal UAV data for accurate land surface temperatures
Abstract Thermal cameras on unoccupied aerial vehicles (UAVs) are increasingly being used in environmental and ecological research, including hydrology, wildfire detection and prediction, urban heat studies, precision agriculture, ecosystem functioning, wildlife monitoring and microclimate studies…
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Artikel Jurnal
ORDNA: Deep‐learning‐based ordination for raw environmental DNA samples
Abstract Environmental DNA (eDNA) metabarcoding has revolutionized biodiversity monitoring, offering non‐invasive tools to assess ecosystem health. The complexity of eDNA metabarcoding data poses major challenges for conventional ordination methods in understanding assemblage similarities and…
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Artikel Jurnal
Towards ‘digital ecology’: Advances in integrating artificial intelligence from data generation to ecological insight
Abstract Ecology and artificial intelligence (AI) are becoming increasingly intertwined. Originally, the intersection between the two disciplines was driven by a critical need for AI to help process rapidly growing volumes of ecological data. Early applications primarily entailed applying AI…
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Artikel Jurnal
New frontiers in artificial intelligence for biodiversity research and conservation with multimodal language models
Abstract The integration of artificial intelligence (AI) into biodiversity research and conservation is growing rapidly, demonstrating great potential in reducing the intensive human labour required for data preprocessing, thereby, facilitating larger data collections that offer ecological insights…
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Artikel Jurnal
Improving the integration of artificial intelligence into existing ecological inference workflows
Abstract Artificial intelligence (AI) has revolutionised the process of identifying species and individuals in audio recordings and camera trap images. However, despite developments in sensor technology, machine learning and statistical methods, a general AI‐assisted data‐to‐inference pipeline has…
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Artikel Jurnal
Can hierarchical modelling of co‐occurrence data provide accurate inference into species interactions?
Abstract In recent years, several compelling critiques have emerged of approaches that leverage co‐occurrence data to understand the dynamic complexities posed by species interactions. Here, motivated by the key arguments formalized over a century of debate, we use simulations grounded in…
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Artikel Jurnal
GLOSSA: A user‐friendly R Shiny application for Bayesian machine learning analysis of marine species distribution
Abstract Species distribution models (SDMs) are one of the most common statistical methods to assess species occupancy and geographic distribution patterns. With the increasing complexity and availability of ecological data in the marine context, many methodological approaches have been developed…
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Artikel Jurnal
WildWing: An open‐source, autonomous and affordable UAS for animal behaviour video monitoring
Abstract Drones have become invaluable tools for studying animal behaviour in the wild, enabling researchers to collect aerial video data of group‐living animals. However, manually piloting drones to track animal groups consistently is challenging due to complex factors such as terrain, vegetation…
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Artikel Jurnal
State‐space models and inference approaches for aquatic animal tracking with passive acoustic telemetry and biologging sensors
Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use…
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Artikel Jurnal
Does ecology predict taxonomy? How ecological differentiation can be used to spatially infer intraspecific diversity
Abstract Assessing the true dimension of biodiversity is a major challenge. Many species hide within them a diversity that is now being uncovered using molecular data. However, population genetic studies tend to be resource‐consuming and more difficult to apply to a broader range of taxa, limiting…
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Artikel Jurnal
Integrating AI models into ecological research workflows: The case of terrestrial bioacoustics
Abstract Data collected by autonomous sensors, including camera traps and acoustic recorders, have enormous potential to generate new scientific insights in ecology and related fields. Modern machine learning and AI classification methods are critical to analysing these often immense data streams…
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Artikel Jurnal
Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly…
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Artikel Jurnal
Inferring bird migration from bone isotopes and histology: A fossil‐friendly methodological framework
Abstract Bird seasonal migration is a remarkable biogeographic phenomenon, yet its deep‐time origin(s) and evolutionary history remain poorly understood, with the bird fossil record largely overlooked. This study explores the predictability of bird migratory behaviour from the oxygen isotope…