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Linking Forest Vegetation and Soil Carbon Stock in Northwestern Russia
Forests ( IF 2.4 ) Pub Date : 2020-09-10 , DOI: 10.3390/f11090979
Natalia Lukina , Anastasia Kuznetsova , Elena Tikhonova , Vadim Smirnov , Maria Danilova , Aleksey Gornov , Olga Bakhmet , Aleksandr Kryshen , Daria Tebenkova , Maxim Shashkov , Svetlana Knyazeva

Research Highlights: It was found that both tree species and ground vegetation affected soil carbon stock in boreal forests. Carbon stocks in the mineral layers were related negatively to the C/N ratio in the organic horizon and pine proportion in the growing stock volume, and positively to the share of herbaceous plants and the proportion of spruce. Background and Objectives: Existing research showed the effects of tree species on soil carbon stocks in organic horizons, but these effects were less clear in mineral horizons. Little is known about the effects of ground vegetation on soil carbon stock. This study aims to identify associations between the forest vegetation composition and soil carbon stocks in northwestern Russia. Materials and Methods: Research data from 109 pine, spruce and birch forests of different Cajander’s and Sukachev’s types with different functional compositions of ground vegetation at autonomous positions are discussed in this paper. The V-test was used to assess the impact of vegetation on soil carbon stocks. Results: Variations in Carbon stocks in the mineral layers were associated with the soil types and vegetation composition. Carbic Albic Podzols accumulated the least amount of carbon in the mineral profile. Carbon stock in the mineral layers in pine forests was considerably lower than in spruce and birch forests. Spruce forests with the highest share of herbaceous plants were characterised by the highest carbon stocks in the mineral layers, while pine forests with dwarf shrubs and green mosses accumulated more carbon in the organic layers, but carbon stocks in the mineral layers here were the lowest. Conclusions: Differences in soil carbon stocks between and within northern and middle taiga in northwestern Russia were associated not only with soil types but also with the proportions of forest types dominated by different tree species and ground vegetation functional groups.

中文翻译:

俄罗斯西北部森林植被与土壤碳储量之间的联系

研究重点:研究发现,树木种类和地面植被都会影响北方森林的土壤碳储量。矿层中的碳储量与有机层中的碳氮比和生长期中的松树比例呈负相关,与草本植物的比例和云杉的比例呈正相关。背景与目的:现有研究表明,树种对有机层中的土壤碳储量有影响,但在矿物层中这些影响尚不清楚。关于地面植被对土壤碳储量的影响知之甚少。本研究旨在确定俄罗斯西北部森林植被组成与土壤碳储量之间的联系。材料和方法:本文讨论了来自109种不同的Cajander和Sukachev类型的松树,云杉和桦树森林的数据,这些松树和云杉和桦树在自主位置具有不同的地面植被功能成分。V检验用于评估植被对土壤碳储量的影响。结果:矿物层中碳储量的变化与土壤类型和植被组成有关。Carbic Albic Podzols在矿物剖面中积累的碳量最少。松树林的矿物层中的碳储量要比云杉和桦木森林中的低得多。草本植物所占比例最高的云杉林的特征是矿物质层中的碳储量最高,而矮矮灌木和绿色苔藓的松树林中有机层中的碳储量更多,但此处矿物质层中的碳储量最低。结论: 俄罗斯西北部和北部针叶林之间和之内的土壤碳储量差异不仅与土壤类型有关,而且还与以不同树种和地面植被功能群为主的森林类型的比例有关。
更新日期:2020-09-10
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