Imperfect detection is the rule rather than the exception in plant distribution studies

By Guoke Chen, Marc Kéry, M. Plattner, K. Ma, Beth Gardner. 2013

161 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/afa7e0c2fa2eca6e66bf663833741bb03d01f6f9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. G. Guillera‐Arroita
2. J. Lahoz‐Monfort
3. Michael J. O. Pocock
4. Nick J B Isaac
5. Marc Kéry
6. Douglas H. Johnson
7. J. Andrew Royle
8. B. R. Schmidt

In Ecology

1. G. Guillera‐Arroita
2. J. Lahoz‐Monfort
3. Michael J. O. Pocock
4. Nick J B Isaac
5. Marc Kéry
6. J. Andrew Royle
7. M. Kelly
8. Douglas H. Johnson

In Nature and Landscape Conservation

1. G. Guillera‐Arroita
2. J. Lahoz‐Monfort
3. Michael J. O. Pocock
4. Nick J B Isaac
5. Marc Kéry
6. Douglas H. Johnson
7. M. Hutchings
8. J. Andrew Royle

Citations in the corpus

• Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities (2017, background): “An additional complication is the fact that species are often detected imperfectly, even if sessile (Chen et al. 2013).”
• Analysing and mapping species range dynamics using occupancy models (2013, background): “…and site-specific parameter estimates and their uncertainties (e.g. standard errors) can be projected onto a larger region to produce a map, for instance, of the species distribution, but also of detection (Olea & Mateo-Tom as, 2011; Chen et al., 2013), colonization and extinction probabilities.”
• Bias and information in biological records (2015, background): “‘recordable’) on a site, because detection is less than perfect (Kéry et al., 2009; Chen et al., 2013).”