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Beyond cadaster: landowners and land fragmentation—insights from a case study

datacite.subject.sdg15:Proteger a Vida Terrestre
datacite.subject.sdg02:Erradicar a Fome
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorFerreira da Silva da Costa Freitas, Maria de Belém
dc.contributor.authorTeixeira, Miguel
dc.contributor.authorRolo Antunes, Carla Maria
dc.contributor.authorCésar Ribeiro, Henrique
dc.contributor.authorPartidário, Maria do Rosário
dc.date.accessioned2026-07-06T17:13:58Z
dc.date.available2026-07-06T17:13:58Z
dc.date.issued2026-06-01
dc.description.abstractLand management is a relevant problem in rural areas all over the world, conditioning the planning decisions and the applicability of planning instruments. This study evaluates the limitations of cadastral data in representing land fragmentation and management patterns in wild-fire-prone landscapes, using Alferce (Portugal) as a case study with broader international relevance. Similar challenges—fragmented ownership, incomplete land registries, and increasing wildfire risk—affect many regions worldwide, particularly across the Mediterranean basin and other fire-prone rural landscapes. A mixed-methods approach combines cadastral data with field data from 23 landowners producing two datasets: cadaster-only and ownership-enhanced. Fragmentation is assessed using Simmons and Januszewki indices, supported by spatial analysis (Kernel Density and Moran’s I). Results show that cadastral data alone significantly overestimates fragmentation. While parcel-based analysis suggests a highly fragmented landscape, incorporating ownership information reveals more aggregated management structures. The 23 landowners manage 1247 ha (≈13% of the area), forming a “keystone” group with strong potential for coordinated land management and fire prevention. Higher fragmentation is associated with population centers. These findings demonstrate that cadastral units do not reflect functional management units and considerations about property fragmentation are biased by the lack of information about the owners, a key theoretical contribution with implications beyond Portugal. For policymakers, integrating ownership data and targeting key land managers can improve land use planning and wildfire mitigation and, overall, the sustainability of the territory. Despite limitations (small sample), the approach is transferable to other regions facing similar structural constraints.eng
dc.description.sponsorshipPCIF/AGT/0072/2019
dc.identifier.doi10.3390/geographies6020057
dc.identifier.issn2673-7086
dc.identifier.urihttp://hdl.handle.net/10400.1/29221
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relation.ispartofGeographies
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLand registry
dc.subjectTerritorial management instruments
dc.subjectSustainable management
dc.subjectRural areas
dc.titleBeyond cadaster: landowners and land fragmentation—insights from a case studyeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.startPage57
oaire.citation.titleGeographies
oaire.citation.volume6
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFerreira da Silva da Costa Freitas
person.familyNameTeixeira
person.familyNameRolo Antunes
person.familyNameCésar Ribeiro
person.givenNameMaria de Belém
person.givenNameMiguel
person.givenNameCarla Maria
person.givenNameHenrique
person.identifier.ciencia-idCF18-575C-BC6A
person.identifier.ciencia-id6019-5D97-7CFA
person.identifier.ciencia-idBA1C-F97A-DAC7
person.identifier.orcid0000-0001-7645-7099
person.identifier.orcid0000-0003-1205-3233
person.identifier.orcid0000-0002-7446-2537
person.identifier.orcid0000-0002-4898-4737
person.identifier.ridB-7002-2008
person.identifier.scopus-author-id9037147000
person.identifier.scopus-author-id57190386391
relation.isAuthorOfPublicationb9b9952d-e4ba-463d-9907-0910b3a96480
relation.isAuthorOfPublication5f0977de-8600-4c6f-9b49-cd21f6163ded
relation.isAuthorOfPublicatione08da279-0fa6-488e-930e-a5b210670620
relation.isAuthorOfPublicationa45393ab-cb0c-424f-8f89-3c4214647f44
relation.isAuthorOfPublication.latestForDiscoveryb9b9952d-e4ba-463d-9907-0910b3a96480

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