Estimation of litter input in hemi-boreal forests with drained organic soils for improvement of GHG inventories

Bārdule, Arta; Petaja, Guna; Butlers, Aldis; Purviņa, Dana; Lazdiņš, Andis

doi:10.46490/bf534

Cited by 8 publications

(13 citation statements)

References 62 publications

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“…Faster growth of trees in drained area ensures smaller cost of the climate mitigation and significantly bigger effect. The studies on other species (spruce and pine) proves significantly bigger mitigation effect due to smaller emissions from soil and bigger carbon input with litter and forest floor vegetation (Bārdule et al, 2021;Butlers et al, 2022) turning organic soils into carbon sink after afforestation; however, uncertainty of these estimates are high and there is no statistically significant difference; therefore, there is need for further studies to improve accuracy of the emissions' projections. IPCC default CO2 emission factor (total ecosystem exchange) for grassland in temperate climate region is 6.1 tons CO2-C yr -1 ha -1 (Eggleston et al, 2006), which is about six times smaller than the factor applied in the study and based on the research findings in nutrient poor soils (Licite & Lupikis, 2020).…”

Section: Research Results and Discussionmentioning

confidence: 99%

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Climate Smart Management Alternatives for Management of Organic Soils Under Agricultural Use

Lazdiņš,

Bārdule,

Butlers

et al. 2024

Rural Development 2019

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Organic soils in cropland and grassland are absolutely the largest source of greenhouse gas (GHG) emissions in Latvia contributing to output of 3.1 mill. tons CO2 eq; therefore, it is important, to evaluate different management scenarios and their effect on the GHG emissions. In this study we compared 3 scenarios of management of organic soils used in agriculture: afforestation with birch and retaining of drainage system, afforestation with birch with following rewetting and management these areas as grasslands as a reference scenario. We estimated carbon stock changes in living biomass of trees and forest floor vegetation, litter, dead wood, harvested wood products and soil, substitution effect of forest biofuel, and N2O and CH4 emissions from soil. AGM model is used to create forest growth projections. The average annual GHG emissions from grassland is 7.3 tons CO2 eq ha -1 yr -1 . In afforested and drained areas average GHG emissions are 2.6 tons CO2 eq ha -1 yr -1 , and in afforested and rewetted areas -3.8 tons CO2 eq ha -1 yr -1 . Afforestation of grassland and maintenance of drainage system during 200 years period reduces GHG emissions by 916 tons CO2 eq ha -1 , while the afforestation and rewetting reduces GHG emissions by 670 tons CO2 eq. ha -1 . The substitution of fossil fuel has significant role in the climate change mitigation effect. The cost of the emissions' reduction in 2050 reaches 5.8 and 21.3 € ton -1 CO2 eq in drained and rewetted areas, accordingly.

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Section: Research Results and Discussionmentioning

confidence: 99%

“…Calculation of undergrowth biomass and carbon in soil with residues of these plants in afforested areas is based on the publication by Bārdule et al (2021). The carbon input and the stock data are transferred into polynomial equations, where the first values equals to the ones in grasslands.…”

Section: Methodsmentioning

confidence: 99%

Climate Smart Management Alternatives for Management of Organic Soils Under Agricultural Use

Lazdiņš,

Bārdule,

Butlers

et al. 2024

Rural Development 2019

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“…Accurately estimating C input through ground vegetation requires an investigation of site attributes that can be used to predict ground vegetation biomass [ 66 , 67 ]. For forests in Latvia, developing country-specific equations to calculate ground vegetation biomass is also necessary [ 68 ].…”

Section: Discussionmentioning

confidence: 99%

Changes in Organic Carbon Stock in Soil and Whole Tree Biomass in Afforested Areas in Latvia

Petaja,

Bārdule,

Zalmanis

et al. 2023

Plants

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This study investigates the soil organic carbon (SOC) and whole tree biomass carbon (C), soil bulk density (BD) as well as changes in these parameters in afforested areas in Latvia. The study covered 24 research sites in afforested areas—juvenile forest stands dominated by Scots pine, Norway spruce and Silver birch. The initial measurements were conducted in 2012 and repeated in 2021. The results show that afforestation mostly leads to a general decrease in soil BD and SOC stock in 0–40 cm soil layer and an increase in C stock in tree biomass across afforested areas with various tree species, soil types, and former land uses. The physical and chemical properties of the soil could explain the differences in changes in soil BD and SOC caused by afforestation, as well as the impact of past land use may have persisted. When comparing the changes in SOC stock with the increase in C stock in tree biomass due to afforestation, taking into account the decrease in soil BD and the resulting elevation of soil surface level, the afforested areas at juvenile development stage can be considered a net C sink.

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“…The increasing attention on the role of the forestry sector in reducing the amount of CO 2 in the atmosphere and storing carbon in forest biomass requires continuously updated information on the condition of forests and their development [1][2][3]. Total forest biomass is an important factor in carbon balance modeling [4][5][6][7]. National Forest Inventory (NFI) data are the main source of information for international programs and statistics, such as the Forest Resource Assessment Program for the Food and Agriculture Organization (FAO) and the national greenhouse gas inventory report for the Land Use, Land-Use Change, and Forestry sector under the United Nations Framework Convention on Climate Change.…”

Section: Introductionmentioning

confidence: 99%

Species Composition Affects the Accuracy of Stand-Level Biomass Models in Hemiboreal Forests

Liepiņš

Lazdiņš

Kalēja

et al. 2022

Land

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Various tree species contribute differently to total biomass stock, making the development of species-specific stand-level equations critical for better estimation of forest biomass and quantification of carbon stocks. Previously derived dry weight biomass models did not assess the effect of dominant species composition according to stand growing stock. Growing stock definitions and forest species composition differ by country, justifying the need for national stand-level biomass equations. We explored the relationship between growing stock volume and stand biomass density of above- and below-ground components in six common forest categories in Latvia using plot-level data from the National Forest Inventory from 2016 to 2020. Additionally, we explored model dependence on region, forest type, and species composition index. Models that considered growing stock and dominant species composition index performed better than models with growing stock as the only variable, especially for heterogeneous deciduous forests with greater species diversity. The elaborated models are a useful alternative to individual-level assessment for estimating forest biomass stocks in circumstances where individual tree data are not available.

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Estimation of litter input in hemi-boreal forests with drained organic soils for improvement of GHG inventories

Cited by 8 publications

References 62 publications

Climate Smart Management Alternatives for Management of Organic Soils Under Agricultural Use

Climate Smart Management Alternatives for Management of Organic Soils Under Agricultural Use

Changes in Organic Carbon Stock in Soil and Whole Tree Biomass in Afforested Areas in Latvia

Species Composition Affects the Accuracy of Stand-Level Biomass Models in Hemiboreal Forests

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