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Biodiversity data obsolescence and land uses changes.

Nora Escribano1, Arturo H Ariño1, David Galicia1

  • 1Department of Environmental Biology, Universidad de Navarra , Pamplona , Spain.

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|December 21, 2016
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Summary

Land use changes can make biodiversity records obsolete, impacting scientific research. Assessing data obsolescence is crucial for understanding biodiversity patterns accurately.

Keywords:
Biodiversity datasetsHistorical recordsLand use changesObsolescencePrimary biodiversity recordsSmall mammalsTemporal bias

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Area of Science:

  • Ecology
  • Environmental Science
  • Conservation Biology

Background:

  • Primary biodiversity records (PBR) are vital for tracking biodiversity over time and space.
  • Concerns exist regarding PBR quality due to taxonomic, geographic, and sampling biases.
  • The temporal bias, or data ageing, in PBR has received less attention, particularly concerning land use changes.

Purpose of the Study:

  • To examine how land use changes affect the currentness of information in biodiversity databases.
  • To assess the obsolescence of biodiversity data resulting from land use alterations.

Main Methods:

  • Land use change maps were created for three periods (1956-1985, 1985-2000, 2000-2012) at 5 km resolution.
  • Percentage of land use change was calculated for each cell within these periods.
  • Small mammal distribution data were overlaid, and records were classified as 'non-obsolete' or 'obsolete' based on land use changes relative to data sampling dates.

Main Results:

  • Out of 59,677 initial records, 14,528 were classified as non-obsolete after considering land use changes in Navarra.
  • Obsolete data were found in 115 out of 156 analyzed cells.
  • Over half of the cells with non-obsolete records had not been revisited for at least 15 years.

Conclusions:

  • Land use changes significantly challenge the usability and interpretation of biodiversity datasets.
  • As biological records age, they are increasingly likely to become obsolete due to land use changes.
  • Assessing data obsolescence is essential to safeguard the accurate understanding and perception of biodiversity patterns.