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Farm fragmentation, the division of farms into separate parcels, complicates disease tracking in livestock. This study quantifies fragmentation in Ireland to improve spatial analysis and epidemiological surveillance.

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Area of Science:

  • Agricultural Science
  • Veterinary Epidemiology
  • Geographic Information Systems

Background:

  • Farm fragmentation, the division of agricultural land into non-contiguous parcels, presents administrative, economic, environmental, and epidemiological challenges.
  • High levels of farm fragmentation in Ireland, as in other regions, create uncertainty in pinpointing livestock locations for epidemiological studies.
  • Accurate spatial data is crucial for effective disease surveillance and control in animal populations.

Purpose of the Study:

  • To develop and apply methods for quantifying the extent and regional variation of farm fragmentation in Ireland.
  • To measure the distances between fragments of divided farms.
  • To reduce uncertainty in assigning livestock locations for epidemiological analyses.

Main Methods:

  • Utilized geographic information systems (GIS) and spatial analysis techniques.
  • Quantified the degree of farm fragmentation across different regions of Ireland.
  • Calculated inter-fragment distances for fragmented farm holdings.

Main Results:

  • Developed a quantifiable measure of farm fragmentation and its spatial distribution in Ireland.
  • Identified regional variations in the extent of farm fragmentation.
  • Provided data on the distances between separated farm parcels, available as an online resource.

Conclusions:

  • The developed methods enhance precision in spatial analyses of bovine populations.
  • Improved understanding of farm fragmentation aids in more accurate disease surveillance and field epidemiology.
  • This research provides a valuable tool for managing animal health in fragmented agricultural landscapes.