@misc{9225775,
  abstract     = {{The challenge of nature conservation for municipalities usually revolves around limited resources and available data. A method that could predict the potential for nature values in different areas would help municipalities focus the available resources they have where they are most needed. In this study, such a model has been developed and tested for Lilla Edet municipality using MCA (Multi-criteria analysis) in GIS with data that are available to municipalities. The model results show a 92% level of agreement in relation to validation data using all criteria and pass the validation test. The results from the sensitivity analysis show that the most sensitive criteria groups are “Soil”, “Distance to roads” and “Forest value cores” with a resulting change of up to 4% on the results when adjusting the criteria group weights 20%. This indicates acceptable robustness in the sensitivity analysis and validity in the form of validation data agreement testing. In other words, it replicates the more resource demanding established methods sufficiently and can be used as an indicator tool for nature values in municipality conservation planning in Lilla Edet municipality. Further research is needed to verify how this model would perform in other geographical areas or with alternative variables and criteria in the methods.}},
  author       = {{Berntsson, Jenny}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master Thesis in Geographical Information Science}},
  title        = {{Using Multi-criteria GIS analysis in nature conservation planning in Lilla Edet municipality}},
  year         = {{2026}},
}