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西伯利亚中部火灾后碳氮积累与演替

Post-fire carbon and nitrogen accumulation and succession in Central Siberia.

作者信息

Larjavaara Markku, Berninger Frank, Palviainen Marjo, Prokushkin Anatoly, Wallenius Tuomo

机构信息

VITRI, Viikki Tropical Resources Institute, Department of Forest Sciences, PO Box 27, 00014 University of Helsinki, Helsinki, Finland.

Department of Silviculture and Biotechnology, Zhejiang A&F University, Lin'an, Zhejiang, China.

出版信息

Sci Rep. 2017 Oct 6;7(1):12776. doi: 10.1038/s41598-017-13039-2.

Abstract

Improved understanding of carbon (C) accumulation after a boreal fire enables more accurate quantification of the C implications caused by potential fire regime shifts. We coupled results from a fire history study with biomass and soil sampling in a remote and little-studied region that represents a vast area of boreal taiga. We used an inventory approach based on predefined plot locations, thus avoiding problems potentially causing bias related to the standard chronosequence approach. The disadvantage of our inventory approach is that more plots are needed to expose trends. Because of this we could not expose clear trends, despite laborious sampling. We found some support for increasing C and nitrogen (N) stored in living trees and dead wood with increasing time since the previous fire or time since the previous stand-replacing fire. Surprisingly, we did not gain support for the well-established paradigm on successional patterns, beginning with angiosperms and leading, if fires are absent, to dominance of Picea. Despite the lack of clear trends in our data, we encourage fire historians and ecosystem scientists to join forces and use even larger data sets to study C accumulation since fire in the complex Eurasian boreal landscapes.

摘要

对北方森林火灾后碳(C)积累的深入了解,有助于更准确地量化潜在火灾格局变化所带来的碳影响。我们将火灾历史研究结果与生物量和土壤采样相结合,研究区域位于一个偏远且研究较少的地区,该地区代表了广阔的北方针叶林。我们采用了基于预定义样地位置的清查方法,从而避免了可能与标准年代序列方法相关的偏差问题。我们清查方法的缺点是需要更多样地来揭示趋势。因此,尽管进行了费力的采样,我们仍无法揭示明显的趋势。我们发现,随着自上次火灾或上次林分更替火灾以来时间的增加,活树和枯木中储存的碳和氮(N)有增加的趋势。令人惊讶的是,我们没有找到对从被子植物开始、如果没有火灾最终导致云杉占主导地位的演替模式这一既定范式的支持。尽管我们的数据缺乏明显趋势,但我们鼓励火灾历史学家和生态系统科学家联合起来,使用更大的数据集来研究复杂的欧亚北方景观火灾后的碳积累情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a18/5630608/d5d4bc69506f/41598_2017_13039_Fig1_HTML.jpg

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