Local frequency as a key to interpreting species occurrence data when recording effort is not known

By M. Hill. 2012

129 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/7f1cc4de7a9c05616c99afe6c3603ef08ac1cea2

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. Michael J. O. Pocock
2. Nick J B Isaac
3. David Roy
4. Chris D. Preston
5. Helen E. Roy
6. A. Strien
7. Dirk Maes
8. Tom A. August

In Nature and Landscape Conservation

1. Michael J. O. Pocock
2. Nick J B Isaac
3. Chris D. Preston
4. S. Potts
5. David Roy
6. John M. Holland
7. Helen E. Roy
8. Ben Darvill

In Plant Science

1. S. Potts
2. J. Memmott
3. John M. Holland
4. Michael J. O. Pocock
5. Chris D. Preston
6. Stuart P. M. Roberts
7. J. Osborne
8. A. J. Strien

Citations in the corpus

• Statistics for citizen science: extracting signals of change from noisy ecological data (2014, methodology): “Frescalo trends are expressed as the reporting rate of focal species relative to that of the benchmarks (Hill 2012; Fox et al. 2014).”
• Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions (2021, background): “As a result, multiple approaches have been suggested for inferring non- detection events when data are stored in a presence- only format (Hill, 2012; van Strien et al., 2013).”
• Identifying key knowledge needs for evidence‐based conservation of wild insect pollinators: a collaborative cross‐sectoral exercise (2013, methodology): “The primary aim of such recording is to produce distribution atlases (e.g. Collins & Roy, 2012), although methods to extract trends in geographic range and frequency from these data are developing (Biesmeijer et al., 2006; Morris, 2010; Hill, 2011).”
• The Biological Records Centre: a pioneer of citizen science (2015, background): “…certain is known about the intervening gaps in space and time, or the completeness of the records, so consequently there are challenges with the interpretation and analysis of these data, including geographic or spatial bias (Hill, 2012; Van Strien, van Swaay & Termaat, 2013; Isaac et al., 2014).”
• Air pollution and its effects on lichens, bryophytes, and lichen‐feeding Lepidoptera: review and evidence from biological records (2015, methodology): “The Frescalo-generated (Hill, 2012) 5-yearly time trends shown in Figure 8 demonstrate this phenomenon for four species.”
• The use of opportunistic data for IUCN Red List assessments (2015, background): “Frescalo uses information about sites’ similarity to neighbouring sites to assign local benchmark species (Hill, 2012).”