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 …

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 …

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 …

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 …

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 …

Experimental investigation of observation error in anuran call surveys

BT Mcclintock, LL Bailey, KH Pollock… - The Journal of Wildlife …, 2010 - Wiley Online Library
Occupancy models that account for imperfect detection are often used to monitor anuran and
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 …

Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections

BT McClintock, LL Bailey, KH Pollock, TR Simons - Ecology, 2010 - Wiley Online Library
The recent surge in the development and application of species occurrence models has
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 …

Estimating site occupancy rates when detection probabilities are less than one

DI MacKenzie, JD Nichols, GB Lachman, S Droege… - Ecology, 2002 - Wiley Online Library
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 …