Assessing spatiotemporal variation in abundance: A flexible framework accounting for sampling bias with an application to common pochard (Aythya ferina) [PDF]
Ecology and Evolution, 2022 Assessing trends in the relative abundance of populations is a key yet complex issue for management and conservation. This is a major aim of many large‐scale censusing schemes such as the International Waterbird Count (IWC). However, owing to the lack of
Benjamin Folliot +6 more
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Current nest box designs may not be optimal for the larger forest dormice: Pre‐hibernation increase in body mass might lead to sampling bias in ecological data [PDF]
Ecology and Evolution, 2021 Biologists commonly use nest boxes to study small arboreal mammals, including the forest dormouse (Dryomys nitedula). Hibernating dormouse species often experience pronounced seasonal variations in body mass, which might lead to sampling biases if it is ...
Hesamaddin Farhadi
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Untangling Sampling Bias From Lemur Dietary Specialization [PDF]
Ecology and EvolutionIdentifying the drivers of wildlife dietary specialization is fundamental to understanding trophic interactions and species' functional roles in their environment.
Anna Vasenina +2 more
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Rumen sampling methods bias bacterial communities observed. [PDF]
PLoS ONE, 2022 The rumen is a complex ecosystem that plays a critical role in our efforts to improve feed efficiency of cattle and reduce their environmental impacts.
Jill V Hagey +3 more
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The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias [PDF]
Sensors, 2020 This publication revises the deteriorated performance of field calibrated low-cost sensor systems after spatial and temporal relocation, which is often reported for air quality monitoring devices that use machine learning models as part of their software
Georgi Tancev, Céline Pascale
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Meta‐replication, sampling bias, and multi‐scale model selection: A case study on snow leopard (Panthera uncia) in western China [PDF]
Ecology and Evolution, 2020 Replicated multiple scale species distribution models (SDMs) have become increasingly important to identify the correct variables determining species distribution and their influences on ecological responses.
Luciano Atzeni +6 more
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Ecosphere, 2017 The diversity and community composition of ground arthropods is routinely analyzed by pitfall trap sampling, which is a cost‐ and time‐effective method to gather large numbers of replicates but also known to generate data that are biased by species ...
Jan Engel +6 more
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Quantifying nationality bias in social media data on different platforms for visitor monitoring in Nikko National Park, Japan [PDF]
Geographica Pannonica, 2023 Geotagged social media data have been used widely for visitor monitoring in protected areas. The data might, however, over or underestimate visitors from specific countries due to nationality bias, i.e., differences between nationality of actual visitors
Kajikawa Masahiro +4 more
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Impact and mitigation of sampling bias to determine viral spread: Evaluating discrete phylogeography through CTMC modeling and structured coalescent model approximations. [PDF]
Virus Evol, 2023 Layan M +6 more
europepmc +2 more sources
Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation
Frontiers in Big Data, 2022 Despite progress toward gender equality in the labor market over the past few decades, gender segregation in labor force composition and labor market outcomes persists.
Shenggang Hu +11 more
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