Luke

Modelling covariance structures in determinantal point processes for spatio-temporal interactions

dc.contributor.authorVafaei, Nafiseh
dc.contributor.authorMyllymäki, Mari
dc.contributor.authorGhorbani, Mohammad
dc.contributor.departmentid4100310510
dc.contributor.orcidhttps://orcid.org/0000-0002-2713-7088
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2026-08-24T08:04:49Z
dc.date.issued2026
dc.description.abstractHabitat restoration may protect brown trout (Salmo trutta) populations from loss of genetic diversity by increasing environmental carrying capacity and, consequently, population size. However, the accompanying release of hatchery-reared fish may threaten the genetic integrity of native populations through introgression. We monitored the genetic composition of four native brown trout populations using 16 putatively neutral microsatellite loci in small boreal streams subjected to restoration measures and the release of hatchery-reared brown trout. Sampling was conducted before restoration, during the expected recovery phase, and after recovery. Analysis of population composition over the 19-year study period indicated interbreeding between hatchery and wild fish shortly after the releases, but the most recent samples predominantly represented native, presumably resident genotypes. Restoration treatments had no detectable effects on the genetic diversity of the small study populations. Our results add to the evidence suggesting that stocking with non-native fish is ineffective in enhancing wild populations.
dc.format.pagerange5127-5147
dc.identifier.citationHow to cite: Vafaei, N., Myllymäki, M., & Ghorbani, M. (2026). Modelling covariance structures in determinantal point processes for spatio-temporal interactions. Communications in Statistics - Theory and Methods, 55(15), 5127–5147. https://doi.org/10.1080/03610926.2026.2631039
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/104269
dc.identifier.urlhttps://doi.org/10.1080/03610926.2026.2631039
dc.identifier.urnURN:NBN:fi-fe20260824119412
dc.language.isoen
dc.okm.avoinsaatavuuskytkin1 = Avoimesti saatavilla
dc.okm.corporatecopublicationei
dc.okm.discipline112
dc.okm.internationalcopublicationon
dc.okm.julkaisukanavaoa2 = Osittain avoimessa julkaisukanavassa ilmestynyt julkaisu
dc.okm.selfarchivedon
dc.publisherTaylor & Francis
dc.relation.doi10.1080/03610926.2026.2631039
dc.relation.ispartofseriesCommunications in statistics: theory and methods
dc.relation.issn0361-0926
dc.relation.issn1532-415X
dc.relation.numberinseries15
dc.relation.volume55
dc.rightsCC BY 4.0
dc.source.justusid144409
dc.subjectcovariance function
dc.subjectregularity
dc.subjectsimulation
dc.subjectspatio-temporal point process
dc.subjectspectral density
dc.teh41007-00075000
dc.teh41007-00172700
dc.titleModelling covariance structures in determinantal point processes for spatio-temporal interactions
dc.typepublication
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
Vafaei_et_al-Communications_in_statistics-2026-Modelling_covariance_structures_in_determinantal_point_processes.pdf
Size:
3.02 MB
Format:
Adobe Portable Document Format
Description:
Vafaei_et_al-Communications_in_statistics-2026-Modelling_covariance_structures_in_determinantal_point_processes.pdf

Kokoelmat