Fire impact on carbon storage in light conifer forests of the Lower Angara region, Siberia

Иванова, Г. А.; Conard, S. G.; Kukavskaya, Elena; McRae, Douglas J.

doi:10.1088/1748-9326/6/4/045203

Cited by 29 publications

(19 citation statements)

References 21 publications

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“…Similar data to those presented here are needed for other forest types in Siberia, including the extensive larch and spruce/fir forests. Ongoing studies (Chernykh and Furyaev 2011;Ivanova et al 2011;Valendik et al 2013) are helping to fill this gap. Postfire data from this and other studies (Buryak et al 2011;Zhila et al 2011;Kukavskaya et al 2013a) are required to assess the long-term fire impacts on biomass fuel characteristics, carbon stocks, and vegetation dynamics.…”

Section: Resultsmentioning

confidence: 99%

“…All plots were burned using line ignition along the windward side to mimic equilibrium fire behavior conditions. Fires were primarily surface fires, but they ranged widely in fire behavior and in fire severity (McRae et al 2006;Ivanova et al 2011). Byram's (1959)…”

Section: Burning Proceduresmentioning

confidence: 99%

“…Although a number of studies have characterized specific fuel layers in these types of forests, few have described the loading of all components, compared fuels across or within sites, or used fuel data in conjunction with data on fire behavior or fuel consumption from subsequent fires. The data on fuel consumption in Siberia are very limited (FIRESCAN 1996;McRae et al 2006;Ivanova et al 2011;Kukavskaya et al 2013b).…”

Section: Introductionmentioning

confidence: 99%

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Fuel characteristics, loads and consumption in Scots pine forests of central Siberia

et al. 2019

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Fuel consumption due to surface fires of low to high-intensities ranged from 0.95 to 3.08 kg/m 2 , that is, 18-74% from prefire values. The total amount of fuels available to burn in case of fire was up to 4.5-6.5 kg/m 2 . Moisture content of fuels (litter, lichen, feather moss) was related to weather conditions characterized by the Russian Fire Danger Index (PV-1) and FWI code of the Canadian Forest Fire Weather Index System. The data obtained provide a strong foundation for understanding and modeling fire behavior, emissions, and fire effects on ecosystem processes and carbon stocks and could be used to improve existing global and regional models that incorporate biomass and fuel characteristics.

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Section: Resultsmentioning

confidence: 99%

Section: Burning Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fuel characteristics, loads and consumption in Scots pine forests of central Siberia

et al. 2019

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“…This suggested that low fire occurrence had positive effects on boreal forest's resilience, while high fire occurrence should be avoided in future forest management. However, previous studies showed that low fire occurrences had negative effects on boreal forest ecosystem resilience [36,50]. This difference may be related to response variable selection or analysis of fewer indicators of ecological resilience.…”

Section: Discussionmentioning

confidence: 96%

Mitigating the Effects of Climate Change through Harvesting and Planting in Boreal Forests of Northeastern China

Luo

Liang

et al. 2018

Sustainability

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The ecological resilience of boreal forests is an important element of measuring forest ecosystem capacity recovered from a disturbance, and is sensitive to broad-scale factors (e.g., climate change, fire disturbance and human related impacts). Therefore, quantifying the effects of these factors is increasingly important for forest ecosystem management. In this study, we investigated the impacts of climate change, climate-induced fire regimes, and forest management schemes on forest ecological resilience using a forest landscape model in the boreal forests of the Great Xing'an Mountains, Northeastern China. First, we simulated the effects of the three studied variables on forest aboveground biomass, growing space occupied, age cohort structure, and the proportion of mid and late-seral species indicators by using the LANDIS PRO model. Second, we calculated ecological resilience based on these four selected indicators. We designed five simulated scenarios: Current fire only scenario, increased fire occurrence only scenario, climate change only scenario, climate-induced fire regime scenario, and climate-fire-management scenario. We analyzed ecological resilience over the five scenarios from 2000 to 2300. The results indicated that the initialized stand density and basal area information from the year 2000 adequately represented the real forest landscape of that year, and no significant difference was found between the simulated landscape of year 2010 and the forest inventory data of that year at the landscape scale. The simulated fire disturbance results were consistent with field inventory data in burned areas. Compared to the current fire regime scenario, forests where fire occurrence increased by 30% had an increase in ecological resilience of 12.4-43.2% at the landscape scale, whereas increasing fire occurrence by 200% would decrease the ecological resilience by 2.5-34.3% in all simulated periods. Under the low climate-induced fire regime scenario, the ecological resilience was 12.3-26.7% higher than that in the reference scenario across all simulated periods. Under the high climate-induced fire regime scenario, the ecological resilience decreased significantly by 30.3% and 53.1% in the short-and medium-terms at landscape scale, while increasing slightly by 3.8% in the long-term period compared to the reference scenario. Compared to no forest management scenario, ecological resilience was decreased by 5.8-32.4% under all harvesting and planting strategies for the low climate-induced fire regime scenario, and only the medium and high planting intensity scenarios visibly increased the ecological resilience (1.7-15.8%) under the high climate-induced fire regime scenario at the landscape scale. Results from our research provided insight into the future forest management and have implications for improving boreal forest sustainability.

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“…In another work, focused on forest in the Angara region, Ivanova et al (2011) highlight the diverse range of post-fire carbon storage, which can vary by 16 to 49%, depending on the fire intensity, which is directly under the control of weather and climate. This is another example of how weather and climate affect land cover, which in turn feeds back negatively (more reflective young vegetation increases albedo) or positively (black carbon deposition on ice/snow or clouds) to the atmosphere and climate systems.…”

Section: Changes In the Exchange Of Greenhouse Gases (Ghg)mentioning

confidence: 99%

Northern Eurasia Earth Science Partnership Initiative: evolution of scientific investigations to applicable science

Soja

Groisman

2012

Environ. Res. Lett.

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The letters collected in this focus issue of Environmental Research Letters on 'Environmental, socio-economic and climatic changes in Northern Eurasia and their feedbacks to the global Earth system' represent the third special issue based on the results of research within the Northern Eurasia Earth Science Partnership Initiative (NEESPI: http://neespi.org) program domain. Through the years, NEESPI researchers have presented a diverse array of articles that represent a variety of spatial scales and demonstrate the degree to which abrupt climatic and socio-economic changes are acting across Northern Eurasia and feed back to the global Earth system.

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Fire impact on carbon storage in light conifer forests of the Lower Angara region, Siberia

Cited by 29 publications

References 21 publications

Fuel characteristics, loads and consumption in Scots pine forests of central Siberia

Fuel characteristics, loads and consumption in Scots pine forests of central Siberia

Mitigating the Effects of Climate Change through Harvesting and Planting in Boreal Forests of Northeastern China

Northern Eurasia Earth Science Partnership Initiative: evolution of scientific investigations to applicable science

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