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Fire hazard modulation by long-term dynamics in land cover and dominant forest type in eastern and central Europe

Feurdean, Angelica; Vannière, Boris; Finsinger, Walter; Warren, Dan; Connor, Simon C.; Forrest, Matthew; Liakka, Johan; Panait, Andrei; Werner, Christian; Andrič, Maja; Bobek, Premysl; Carter, Vachel A.; Davis, Basil; Diaconu, Andrei-Cosmin; Dietze, Elisabeth; Feeser, Ingo; Florescu, Gabriela; Gałka, Mariusz; Giesecke, Thomas; Jahns, Susanne; ... mehr

Abstract:
Wildfire occurrence is influenced by climate, vegetation and human activities. A key challenge for understanding the risk of fires is quantifying the mediating effect of vegetation on fire regimes. Here, we explore the relative importance of Holocene land cover, land use, dominant functional forest type, and climate dynamics on biomass burning in temperate and boreo-nemoral regions of central and eastern Europe over the past 12 kyr. We used an extensive data set of Holocene pollen and sedimentary charcoal records, in combination with climate simulations and statistical modelling. Biomass burning was highest during the early Holocene and lowest during the mid-Holocene in all three ecoregions (Atlantic, continental and boreo-nemoral) but was more spatially variable over the past 3–4 kyr. Although climate explained a significant variance in biomass burning during the early Holocene, tree cover was consistently the highest predictor of past biomass burning over the past 8 kyr. In temperate forests, biomass burning was high at ~ 45% tree cover and decreased to a minimum at between 60% and 70% tree cover. In needleleaf-dominated forests, biomass burning was highest at ~60 %–65%tree cover and steeply declined at > 65% tree cover. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000118072
Veröffentlicht am 03.04.2020
Originalveröffentlichung
DOI: 10.5194/bg-17-1213-2020
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 03.2020
Sprache Englisch
Identifikator ISSN: 1726-4189
KITopen-ID: 1000118072
Erschienen in Biogeosciences
Band 17
Heft 5
Seiten 1213–1230
Vorab online veröffentlicht am 04.03.2020
Nachgewiesen in Web of Science
Scopus
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