Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias
V Ruiz‐Gutierrez, MB Hooten… - Methods in Ecology …, 2016 - Wiley Online Library
Biological monitoring programmes are increasingly relying upon large volumes of citizen‐
science data to improve the scope and spatial coverage of information, challenging the …
science data to improve the scope and spatial coverage of information, challenging the …
Effect of sampling effort and species detectability on volunteer based anuran monitoring programs
SR de Solla, LJ Shirose, KJ Fernie, GC Barrett… - Biological …, 2005 - Elsevier
A central question to the usefulness of surveys for estimating population trends is whether
the surveys adequately represent the biological communities that are being monitored …
the surveys adequately represent the biological communities that are being monitored …
Quantifying data quality in a citizen science monitoring program: False negatives, false positives and occupancy trends
SS Cruickshank, C Bühler… - … Science and Practice, 2019 - Wiley Online Library
Data collected by volunteers are an important source of information used in species
management decisions, yet concerns are often raised over the quality of such data. Two …
management decisions, yet concerns are often raised over the quality of such data. Two …
Improving precision and reducing bias in biological surveys: estimating false‐negative error rates
AJ Tyre, B Tenhumberg, SA Field… - Ecological …, 2003 - Wiley Online Library
The use of presence/absence data in wildlife management and biological surveys is
widespread. There is a growing interest in quantifying the sources of error associated with …
widespread. There is a growing interest in quantifying the sources of error associated with …
Monitoring distributions using call surveys: estimating site occupancy, detection probabilities and inferring absence
J Pellet, BR Schmidt - Biological Conservation, 2005 - Elsevier
Monitoring programs serve to track changes in the distribution and abundance of species. A
major problem with most monitoring programs is that species detection is imperfect and …
major problem with most monitoring programs is that species detection is imperfect and …
Experimental investigation of observation error in anuran call surveys
Occupancy models that account for imperfect detection are often used to monitor anuran and
songbird species occurrence. However, presence—absence data arising from auditory …
songbird species occurrence. However, presence—absence data arising from auditory …
Dealing with false‐positive and false‐negative errors about species occurrence at multiple levels
G Guillera‐Arroita, JJ Lahoz‐Monfort… - Methods in Ecology …, 2017 - Wiley Online Library
Accurate knowledge of species occurrence is fundamental to a wide variety of ecological,
evolutionary and conservation applications. Assessing the presence or absence of species …
evolutionary and conservation applications. Assessing the presence or absence of species …
Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections
The recent surge in the development and application of species occurrence models has
been associated with an acknowledgment among ecologists that species are detected …
been associated with an acknowledgment among ecologists that species are detected …
[HTML][HTML] How should we quantify uncertainty in statistical inference?
SR Lele - Frontiers in Ecology and Evolution, 2020 - frontiersin.org
An inferential statement is any statement about the parameters, form of the underlying
process or future outcomes. An inferential statement, that provides an approximation to the …
process or future outcomes. An inferential statement, that provides an approximation to the …
Estimating site occupancy rates when detection probabilities are less than one
Nondetection of a species at a site does not imply that the species is absent unless the
probability of detection is 1. We propose a model and likelihood‐based method for …
probability of detection is 1. We propose a model and likelihood‐based method for …