A cost-efficient method to assess carbon stocks in tropical peat soil

Estimation of belowground carbon stocks in tropical wetland forests requires funding for laboratory analyses and suitable facilities, which are often lacking in developing nations where most tropical wetlands are found. It is therefore beneficial to develop simple analytical tools to assist belowground carbon estimation where financial and technical limitations are common. Here we use published and original data to describe soil carbon density (kgC m<sup>−3</sup>; C<sub>d</sub>) as a function of bulk density (gC cm<sup>−3</sup>; <i>B</i><sub>d</sub>), which can be used to rapidly estimate belowground carbon storage using <i>B</i><sub>d</sub> measurements only. Predicted carbon densities and stocks are compared with those obtained from direct carbon analysis for ten peat swamp forest stands in three national parks of Indonesia. Analysis of soil carbon density and bulk density from the literature indicated a strong linear relationship (C<sub>d</sub> = <i>B</i><sub>d</sub> × 495.14 + 5.41, <i>R</i><sup>2</sup> = 0.93, <i>n</i> = 151) for soils with organic C content > 40%. As organic C content decreases, the relationship between C<sub>d</sub> and <i>B</i><sub>d</sub> becomes less predictable as soil texture becomes an important determinant of C<sub>d</sub>. The equation predicted belowground C stocks to within 0.92% to 9.57% of observed values. Average bulk density of collected peat samples was 0.127 g cm<sup>−3</sup>, which is in the upper range of previous reports for Southeast Asian peatlands. When original data were included, the revised equation C<sub>d</sub> = <i>B</i><sub>d</sub> × 468.76 + 5.82, with <i>R</i><sup>2</sup> = 0.95 and <i>n</i> = 712, was slightly below the lower 95% confidence interval of the original equation, and tended to decrease C<sub>d</sub> estimates. We recommend this last equation for a rapid estimation of soil C stocks for well-developed peat soils where C content > 40%

A cost-efficient method to assess carbon stocks in tropical peat soil

Estimation of belowground carbon stocks in tropical wetland forests requires funding for laboratory analyses and suitable facilities, which are often lacking in developing nations where most tropical wetlands are found. It is therefore beneficial to develop simple analytical tools to assist belowground carbon estimation where financial and technical limitations are common. Here we use published and original data to describe soil carbon density (kgC m⁻³; C[subscript d]) as a function of bulk density (gC cm⁻³; B[subscript d]), which can be used to rapidly estimate belowground carbon storage using B[subscript d] measurements only. Predicted carbon densities and stocks are compared with those obtained from direct carbon analysis for ten peat swamp forest stands in three national parks of Indonesia. Analysis of soil carbon density and bulk density from the literature indicated a strong linear relationship (C[subscript d] = B[subscript d] × 495.14 + 5.41, R² = 0.93, n = 151) for soils with organic C content > 40%. As organic C content decreases, the relationship between C[subscript d] and B[subscript d] becomes less predictable as soil texture becomes an important determinant of C[subscript d]. The equation predicted belowground C stocks to within 0.92% to 9.57% of observed values. Average bulk density of collected peat samples was 0.127 g cm⁻³, which is in the upper range of previous reports for Southeast Asian peatlands. When original data were included, the revised equation C[subscript d] = B[subscript d] × 468.76 + 5.82, with R² = 0.95 and n = 712, was slightly below the lower 95% confidence interval of the original equation, and tended to decrease C[subscript d] estimates. We recommend this last equation for a rapid estimation of soil C stocks for well-developed peat soils where C content > 40%

Assessment of carbon in woody plants and soil across a vineyard-woodland landscape

<p>Abstract</p> <p>Background</p> <p>Quantification of ecosystem services, such as carbon (C) storage, can demonstrate the benefits of managing for both production and habitat conservation in agricultural landscapes. In this study, we evaluated C stocks and woody plant diversity across vineyard blocks and adjoining woodland ecosystems (wildlands) for an organic vineyard in northern California. Carbon was measured in soil from 44 one m deep pits, and in aboveground woody biomass from 93 vegetation plots. These data were combined with physical landscape variables to model C stocks using a geographic information system and multivariate linear regression.</p> <p>Results</p> <p>Field data showed wildlands to be heterogeneous in both C stocks and woody tree diversity, reflecting the mosaic of several different vegetation types, and storing on average 36.8 Mg C/ha in aboveground woody biomass and 89.3 Mg C/ha in soil. Not surprisingly, vineyard blocks showed less variation in above- and belowground C, with an average of 3.0 and 84.1 Mg C/ha, respectively.</p> <p>Conclusions</p> <p>This research demonstrates that vineyards managed with practices that conserve some fraction of adjoining wildlands yield benefits for increasing overall C stocks and species and habitat diversity in integrated agricultural landscapes. For such complex landscapes, high resolution spatial modeling is challenging and requires accurate characterization of the landscape by vegetation type, physical structure, sufficient sampling, and allometric equations that relate tree species to each landscape. Geographic information systems and remote sensing techniques are useful for integrating the above variables into an analysis platform to estimate C stocks in these working landscapes, thereby helping land managers qualify for greenhouse gas mitigation credits. Carbon policy in California, however, shows a lack of focus on C stocks compared to emissions, and on agriculture compared to other sectors. Correcting these policy shortcomings could create incentives for ecosystem service provision, including C storage, as well as encourage better farm stewardship and habitat conservation.</p

Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences

Lette

Direct N2O emissions from global tea plantations and mitigation potential by climate-smart practices

Estimating N2O emissions from the agricultural sector and developing effective reduction strategies are essential to achieving the Paris Agreement 2 °C target. Based on 3705 observations from 435 articles, we demonstrated that the response of N2O emissions was more sensitive to N inputs on acidic soils than alkaline soils and that climatic factors influence this difference. Total global N2O emissions from tea plantations in the 2010s were estimated to be 46.5 Gg N yr–1 using an exponential model developed herein. Tea plantations are a significant contributor to N2O emissions from the agricultural sector in several countries. The intensity of yield-scale GHG emissions from tea was significantly higher than in other upland cereals. Applying climate-smart practices in Chinese tea plantations could reduce emissions equivalent to one-third of the global total. We conclude that accurate identification of N2O emission hotspots and implementation of targeted measures are essential to achieving global temperature control targets

Dataset on soil carbon dioxide fluxes from an incubation with tropical peat from three different land-uses in Jambi Sumatra Indonesia

Conversion of tropical peat swamp forests to increase and agricultural production has generated substantial peat carbon loss in the Asia-Pacific region. Different land-uses and management practices oxidize the tropical peat at diverse rates due mainly to different water table levels. In recent years, several studies have measured soil carbon dioxide emissions in-situ; however, only few studies have evaluated the effect of moisture on carbon dioxide fluxes in incubation experiments. Here, we present the dataset of an incubation performed with 360 intact peat cores from three different land-uses (i.e. 120 from intact peat swamp forest; 120 from drained logged peat forest; and 120 from oil palm plantation) collected on the peat dome of Jambi Sumatra Indonesia. Different moisture levels in the intact cores were set by either drying the intact peat cores for short period of time or by adding extra water before the incubation. Dynamic dark aerobic incubation in airtight containers coupled with carbon dioxide measurement with an infrared gas analyser and the gas fluxes was used to measure to gas fluxes. The average carbon dioxide fluxes were 5.38 ± 0.91, 4.15 ± 0.35 and 1.55 ± 0.13 µg CO2-C g−1 h−1 for the intact peat swamp forest, drained logged peat forest and oil palm plantation, respectively