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Tytuł pozycji:

Explaining Spatial Variation in the Recording Effort of Citizen Science Data across Multiple Taxa

Tytuł :
Explaining Spatial Variation in the Recording Effort of Citizen Science Data across Multiple Taxa
Autorzy :
Mair, Louise
Ruete, Alejandro
Pokaż więcej
Temat :
Science and Technology Workforce
Research Article
Population Metrics
Transportation Infrastructure
Citizen Science
Geographical Locations
Engineering and Technology
Birds
Ecology
Population Density
People and Places
Sweden
Science Policy
Animals
Europe
Amphibians
Bioinformatics and Systems Biology (methods development to be 10203)
Biology and Life Sciences
Roads
Medicine
Transportation
Vertebrates
Population Biology
Mammals
Civil Engineering
Fungi
Science
Organisms
Źródło :
PLoS ONE, Vol 11, Iss 1, p e0147796 (2016)
Wydawca :
Public Library of Science, 2016.
Rok publikacji :
2016
Kolekcja :
DOAJ-Articles_enriched
Epsilon_Open_Archive_enriched
DOAJ-Articles
Epsilon_Open_Archive
Oryginalny identyfikator :
pmc: PMC4731209
pmid: 26820846
Opis pliku :
application/pdf
Język :
English
ISSN :
1932-6203
DOI :
10.1371/journal.pone.0147796
The collation of citizen science data in open-access biodiversity databases makes temporally and spatially extensive species’ observation data available to a wide range of users. Such data are an invaluable resource but contain inherent limitations, such as sampling bias in favour of recorder distribution, lack of survey effort assessment, and lack of coverage of the distribution of all organisms. Any technical assessment, monitoring program or scientific research applying citizen science data should therefore include an evaluation of the uncertainty of its results. We use ‘ignorance’ scores, i.e. spatially explicit indices of sampling bias across a study region, to further understand spatial patterns of observation behaviour for 13 reference taxonomic groups. The data is based on voluntary observations made in Sweden between 2000 and 2014. We compared the effect of six geographical variables (elevation, steepness, population density, log population density, road density and footpath density) on the ignorance scores of each group. We found substantial variation among taxonomic groups in the relative importance of different geographic variables for explaining ignorance scores. In general, road access and logged population density were consistently important variables explaining bias in sampling effort, indicating that access at a landscape-scale facilitates voluntary reporting by citizen scientists. Also, small increases in population density can produce a substantial reduction in ignorance score. However the between-taxa variation in the importance of geographic variables for explaining ignorance scores demonstrated that different taxa suffer from different spatial biases. We suggest that conservationists and researchers should use ignorance scores to acknowledge uncertainty in their analyses and conclusions, because they may simultaneously include many correlated variables that are difficult to disentangle.

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