Reconstruction of fire frequency and burned areas around Yaksha village, Komi republic, Russia

dc.contributor.authorIgor Drobyshev
dc.date.accessioned2025-01-20T09:46:23Z
dc.date.available2025-01-20T09:46:23Z
dc.date.issued2022-04-19T09:31:08.500296Z
dc.descriptionDendrochronological reconstruction of the fire frequency and the area burned in the pine-dominated forests in the vicinity of the Yaksha village, southern Komi republic, Russia. The reconstruction is based on dendrochronological dating of fire scars on live and dead pine trees. The reconstruction extends from approximately 1400s to 2016 and is done with annual resolution. The complete presentation of sampling protocol and data analyses could be found in "Climate drove the fire cycle and humans influenced fire occurrence in the East European boreal forest", Ryzhkova et al, Ecological Monographs, 2022. The dataset contains two reconstructions: the decadal fire occurrence in the study area and the annual area burned. The reconstruction is based on dendrochronological dating of fire scars on live and dead pine (Pinus sylvestris) trees. In the chronology, the data label points to the start of the decade in question. For example, label 1540 refers to the decade 1540-1549. The complete presentation of sampling protocol and data analyses could be found in "Climate drove the fire cycle and humans influenced fire occurrence in the East European boreal forest", Ryzhkova et al, Ecological Monographs, 2022.en_EN
dc.descriptionDendrokronologisk rekonstruktion av brandfrekvens och bränd yta i tallskogar i södra republik Komi (område i närheten av by Yaksha), Ryssland. Den årliga rekonstruktion bygger på datering av brandljud i levande och döda tallar och sträcker sig från 1400 till 2016. Den fullständiga provtagningsprotokoll och resultatanalys finns i artikeln "Climate drove the fire cycle and humans influenced fire occurrence in the East European boreal forest", Ryzhkova et al, Ecological Monographs, 2022. Dataset innehåller två rekonstruktioner: decadal förekomst av skogsbränder och årliga brända areal. Rekonstruktionen bygger på dendrokronologisk datering av brandljud på levande och död ved av tall (Pinus sylvestris). I kronologin pekar markering på början av decennium. Till exempel, markering (label) 1540 pekar på perioden 1540-1549. Den fullständiga provtagningsprotokoll och resultatanalys finns i artikeln "Climate drove the fire cycle and humans influenced fire occurrence in the East European boreal forest", Ryzhkova et al, Ecological Monographs, 2022.sv_SE
dc.description.sponsorshipNSERC, CRSNG, CONSEIL DE RECHERCHES EN SCIENCES NATURELLES ET EN GÉNIE DU CANADAen_EN
dc.description.sponsorshipNatural Sciences and Engineering Research Councilsv_SE
dc.description.sponsorshipRussian Foundation for Basic Researchen_EN
dc.description.sponsorshipRussian Foundation for Basic Researchsv_SE
dc.description.sponsorshipSwedish Instituteen_EN
dc.description.sponsorshipSvenska Institutet, SIsv_SE
dc.identifier.govdocSLU.ess.2022.4.4.IÄ-1
dc.identifier.govdocSLU.ess.2019.4.1-41
dc.identifier.urihttps://doi.org/10.5878/sqk4-gg83
dc.identifier.urihttps://doi.org/10.5878/rzkt-yv36
dc.identifier.urihttps://hdl.handle.net/20.500.12703/5485
dc.languageotheren_EN
dc.publisherSwedish National Data Serviceen_EN
dc.publisherSvensk Nationell Datatjänstsv_SE
dc.subjectNatural Sciencesen_EN
dc.subjectNaturvetenskapsv_SE
dc.subjectBiological Sciencesen_EN
dc.subjectBiologisv_SE
dc.subjectforest useen_EN
dc.subjectskogsbruksv_SE
dc.titleReconstruction of fire frequency and burned areas around Yaksha village, Komi republic, Russiaen_EN
dc.titleRekonstruktion av skogbrandsfrekvens och bränd areal i Yaksha by, Republik Komi, Rysslandsv_SE
dc.typeDatasetsv_SE
Files
Original bundle
Now showing 1 - 5 of 5
Loading...
Thumbnail Image
Name:
Yaksha_area_burned.tsv
Size:
1.62 KB
Format:
Unknown data format
Description:
Loading...
Thumbnail Image
Name:
Yaksha_decadal_fire_frequences.tsv
Size:
533 B
Format:
Unknown data format
Description:
Loading...
Thumbnail Image
Name:
Documentation_Yaksha_fire_history.docx
Size:
14.37 KB
Format:
Microsoft Word XML
Description:
Loading...
Thumbnail Image
Name:
Ryzhkova-et-al-2022.pdf
Size:
1.49 MB
Format:
Adobe Portable Document Format
Description:
Loading...
Thumbnail Image
Name:
2022-26-1-json-ld.json
Size:
8.47 KB
Format:
Unknown data format
Description: