Long-term response of respective grass types to variations in fire frequency in central Japan, inferred from phytolith and macrocharcoal records in cumulative soils deposited during the Holocene

Hayashi, Naoki; Kawano, Tatsuichiro; Inoue, Jun

doi:10.1016/j.quaint.2018.04.048

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…We collected a 1-cm 3 subsample from each soil sample and extracted phytoliths from the subsamples, following the method proposed by Kawano et al (2007), Okunaka et al (2012), Inoue et al (2016), and Hayashi et al (2019). Phytoliths were extracted from the soil by oxidizing organic matter using 30% H 2 O 2 , removing calcium carbonate using 3N HCl, and removing clay according to Stoke’s law.…”

Section: Methodsmentioning

confidence: 99%

“…Phytoliths were identified according to the International Code for Phytolith Nomenclature 2.0 (ICPN 2.0) (Neumann et al, 2019). Some phytolith types were then classified into further sub-categories, based on Sugiyama and Fujiwara (1986), Sasaki et al (2004), Kawano (2008), Kondo (2010), Okunaka et al (2012), Inoue et al (2016), and Hayashi et al (2019) (Figure 3). The B ulliform F labellate phytoliths (ICPN 2.0) were further divided into five sub-types; Sasa -types, Pleioblastus -types, Bumbusoideae-types, Andropogoneae-types, and others, following Sugiyama and Fujiwara (1986) and Kondo (2010).…”

Section: Methodsmentioning

confidence: 99%

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Phytoliths as an indicator of change in vegetation related to the huge volcanic eruption at 7.3 ka in the southernmost part of Kyushu, southern Japan

Hayashi

Inoue

Kawano³

et al. 2021

The Holocene

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Volcanic eruptions can have a significant influence on adjacent ecosystems; however, little is known about the long-term vegetation change related to eruptions. In this study, we examined phytolith records in paleosols at multiple sites in the southern Kyushu District, Japan, to assess the influence of the Kikai caldera eruption 7300 years ago on vegetation. Our results show the vegetational difference before and after the eruption in the study region. Specifically, in the area where the pyroclastic flows distributed more thickly, the original evergreen forest was replaced by Andropogoneae grasslands after the eruption, which has been dominating the landscape in this area for at least 900 years. By contrast, in areas only mildly affected by pyroclastic flows, despite the temporary replacement of forest by grassland, the forest developed and flourished within several hundreds of years of the eruption. This is because a large amount of pyroclastic flow would have devastated all of the vegetation, whereas smaller amounts would have left some untouched forest sites within refugia. Our findings suggest that the vegetation varied significantly depending on the amount of pyroclastic flow reaching the area, even within the pyroclastic flow distributed region.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Phytoliths as an indicator of change in vegetation related to the huge volcanic eruption at 7.3 ka in the southernmost part of Kyushu, southern Japan

Hayashi

Inoue

Kawano³

et al. 2021

The Holocene

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show abstract

“…Human-populated grassland ecosystems are especially responsive to interrelated and dynamic physical, social, and biological forces. Climate, human-driven ignition and grazing dynamics, vegetation, and fuel characteristics, all interact to shape fire activity in grassland ecosystems [1][2][3][4][5][6][7][8][9] . Incidence and seasonality of grassland fire are both associated with natural climate variations and anthropogenic ignition patterns 3,[9][10][11][12] .…”

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confidence: 99%

Seasonal weather and climate prediction over area burned in grasslands of northeast China

Shabbir

Zhang

Groninger

et al. 2020

Sci Rep

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Grassland fire dynamics are subject to myriad climatic, biological, and anthropogenic drivers, thresholds, and feedbacks and therefore do not conform to assumptions of statistical stationarity. The presence of non-stationarity in time series data leads to ambiguous results that can misinform regional-level fire management strategies. This study employs non-stationarity in time series data among multiple variables and multiple intensities using dynamic simulations of autoregressive distributed lag models to elucidate key drivers of climate and ecological change on burned grasslands in Xilingol, China. We used unit root methods to select appropriate estimation methods for further analysis. Using the model estimations, we developed scenarios emulating the effects of instantaneous changes (i.e., shocks) of some significant variables on climate and ecological change. Changes in mean monthly wind speed and maximum temperature produce complex responses on area burned, directly, and through feedback relationships. Our framework addresses interactions among multiple drivers to explain fire and ecosystem responses in grasslands, and how these may be understood and prioritized in different empirical contexts needed to formulate effective fire management policies.

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Phytoliths as proxies of the past

Rashid

Mir

Zurro³

et al. 2019

Earth-Science Reviews

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Long-term response of respective grass types to variations in fire frequency in central Japan, inferred from phytolith and macrocharcoal records in cumulative soils deposited during the Holocene

Abstract: Long-term response of respective grass types to variations in fire frequency in central Japan, inferred from phytolith and macrocharcoal records in cumulative soils deposited during the Holocene. Quaternary International. 527, 94-102.

Cited by 6 publications

References 16 publications

Phytoliths as an indicator of change in vegetation related to the huge volcanic eruption at 7.3 ka in the southernmost part of Kyushu, southern Japan

Phytoliths as an indicator of change in vegetation related to the huge volcanic eruption at 7.3 ka in the southernmost part of Kyushu, southern Japan

Seasonal weather and climate prediction over area burned in grasslands of northeast China

Phytoliths as proxies of the past

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