Prediction and digital mapping of soil carbon storage in the Lower Namoi Valley

Soil Research ◽  
2006 ◽  
Vol 44 (3) ◽  
pp. 233 ◽  
Author(s):  
Budiman Minasny ◽  
Alex. B. McBratney ◽  
M. L. Mendonça-Santos ◽  
I. O. A. Odeh ◽  
Brice Guyon
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Soil Carbon ◽  
Carbon Storage ◽  
Environmental Data ◽  
Pedotransfer Functions ◽  
Soil Carbon Storage ◽  
Depth Function ◽  
Terrain Attributes ◽  
Organic Carbon Storage

Estimation and mapping carbon storage in the soil is currently an important topic; thus, the knowledge of the distribution of carbon content with depth is essential. This paper examines the use of a negative exponential profile depth function to describe the soil carbon data at different depths, and its integral to represent the carbon storage. A novel method is then proposed for mapping the soil carbon storage in the Lower Namoi Valley, NSW. This involves deriving pedotransfer functions to predict soil organic carbon and bulk density, fitting the exponential depth function to the carbon profile data, deriving a neural network model to predict parameters of the exponential function from environmental data, and mapping the organic carbon storage. The exponential depth function is shown to fit the soil carbon data adequately, and the parameters also reflect the influence of soil order. The parameters of the exponential depth function were predicted from land use, radiometric K, and terrain attributes. Using the estimated parameters we map the carbon storage of the area from surface to a depth of 1 m. The organic carbon storage map shows the high influence of land use on the predicted storage. Values of 15–22 kg/m2 were predicted for the forested area and 2–6 kg/m2 in the cultivated area in the plains.

Research Advance in Soil Organic Carbon Change

2012 ◽  
Vol 518-523 ◽  
pp. 5112-5115
Author(s):  
Zhen Hong Xie ◽  
Bo Fu ◽  
Xiang Liu
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Cycle ◽  
Soil Carbon ◽  
Carbon Storage ◽  
Soil Carbon Storage ◽  
Effect Factors ◽  
Soil Organic Carbon Storage ◽  
The Future ◽  
Organic Carbon Storage

Changes of soil organic carbon storage play an important role in carbon balance in the world. Firstly, analyzed the effect factors of the soil organic carbon changes that are limited to qualitative research instead of quantitative studies, and the main effect factors are climate and soil properties , but so far it is still unclear how the temperature changes affect soil organic carbon dynamical changes; then, summarized estimation methods of soil organic carbon storage, and the soil type method is more commonly used estimation method of soil carbon storage in china and abroad for simple method and the data easily accessible, and the study on soil organic carbon storage is static based on a point in time and is lack in dynamics analysis, therefore it is to be solved how to improve the estimation accuracy of soil carbon storage in the future; finally,summarized soil carbon cycle model at home and abroad, and it is a key point that the soil carbon cycle models combined with GIS and RS simulate large-scale soil carbon cycle in the future.

Les temps de résidence du carbone et le potentiel de stockage de carbone dans quelques sols cultivés français

1997 ◽  
Vol 77 (2) ◽  
pp. 187-193 ◽  
Author(s):  
Jérôme Balesdent ◽  
Sylvie Recous
Keyword(s):  
Land Use ◽  
Soil Carbon ◽  
Carbon Storage ◽  
Storage Temperature ◽  
Land Use Changes ◽  
Carbon Mineralization ◽  
Effect Of Temperature ◽  
Soil Carbon Storage ◽  
Model Soil ◽  
C Storage

In order to predict the potential of soils to store carbon in response to land use or climate changes, we measured the fluxes and distribution of residence times of C in French cultivated soils. We used the natural abundances in 13C and 14C to measure this distribution in long-term experiments of maize cultivation in France. 75% of the topsoil carbon had a mean residence time of 40 yr. Coarse particle-size fractions contained most of the younger carbon. A compartment of stable C was estimated using radiocarbon dating. Belowground plant material inputs stored as much as C as aboveground inputs. The effect of temperature on soil carbon mineralization affected only rate constants, with a Q10 = 3.1 constant in the range 1–25 °C. The data were summerized in a simple simulation model, which predicted a nil or low effect of climatic change on soil carbon storage in the next 50 yr. In France, land use changes will have more influence than atmospheric changes on C storage. Key words: France, greenhouse gases, mineralization, model, soil carbon, storage, temperature

Modelling soil carbon stocks in semi-natural and agro-ecosystems – quantifying national scale impacts of the Anthropocene

2020 ◽  
Author(s):  
Victoria Janes-Bassett ◽  
Jessica Davies ◽  
Richard Bassett ◽  
Dmitry Yumashev ◽  
Ed Rowe ◽  
...  
Keyword(s):  
Land Use ◽  
Nutrient Cycling ◽  
Soil Carbon ◽  
Carbon Storage ◽  
Management Practices ◽  
Carbon Stocks ◽  
Soil Carbon Storage ◽  
National Scale ◽  
Soil Carbon Stocks

<p>Throughout the Anthropocene, the conversion of land to agriculture and atmospheric deposition of nitrogen have resulted in significant changes to biogeochemical cycling, including soil carbon stocks. Quantifying these changes is complex due to a number of influential factors (including climate, land use management, soil type) and their interactions. As the largest terrestrial store of carbon, soils are a key component in climate regulation. In addition, soil carbon storage contributes to numerous ecosystem services including food provision. It is therefore imperative that we understand changes to soil carbon stocks, and provide effective strategies for their future management.</p><p>Modelling soil systems provides a means to estimate changes to soil carbon stocks. Due to linkages between the carbon cycle and other major nutrient cycles (notably nitrogen and phosphorus which often limit the productivity of ecosystems), models of integrated nutrient cycling are required to understand the response of the carbon cycle to global pressures. Simulating the impacts of land use changes requires capacity to model both semi-natural and intensive agricultural systems.</p><p>In this study, we have developed an integrated carbon-nitrogen-phosphorus model of semi-natural systems to include representation of both arable and grassland systems, and a range of agricultural management practices. The model is applicable to large spatial scales, as it uses readily available input data and does not require site-specific calibration.  After being validated both spatially and temporally using data from long-term experimental sites across Northern-Europe, the model was applied at a national scale throughout the United Kingdom to assess the impacts of land use change and management practices during the last two centuries. Results indicate a decrease in soil carbon in areas of agricultural expansion, yet in areas of semi-natural land use, atmospheric deposition of nitrogen has resulted in increased net primary productivity and subsequently soil carbon. The results demonstrate anthropogenic impacts on long-term nutrient cycling and soil carbon storage, and the importance of integrated nutrient cycling within models.</p>

scholarly journals Effect of Land Use History and Pattern on Soil Carbon Storage in Arid Region of Central Asia

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e68372 ◽  
Author(s):  
Xiaoyu Li ◽  
Yugang Wang ◽  
Lijuan Liu ◽  
Geping Luo ◽  
Yan Li ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Carbon ◽  
Central Asia ◽  
Carbon Storage ◽  
Arid Region ◽  
Land Use History ◽  
Soil Carbon Storage

Soil carbon storage in plantation forests and pastures: land-use change implications

Tellus B ◽  
1999 ◽  
Vol 51 (2) ◽  
pp. 326-335 ◽  
Author(s):  
NEAL A. SCOTT ◽  
KEVIN R. TATE ◽  
JUSTIN FORD-ROBERTSON ◽  
DAVID J. GILTRAP ◽  
C. TATTERSALL SMITH
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Soil Carbon ◽  
Carbon Storage ◽  
Soil Carbon Storage ◽  
Plantation Forests

scholarly journals Organic carbon in soils with different systems of use in Tacarimena Yopal, Colombia

2021 ◽  
Vol 24 (1) ◽  
Author(s):  
Blanca N. Carvajal-Agudelo ◽  
Hernán J. Andrade
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Carbon Storage ◽  
Carbon Fixation ◽  
Silvopastoral System ◽  
Gallery Forests ◽  
Carbon Reservoir ◽  
Cylinder Method ◽  
Organic Carbon Storage ◽  
Mitigation Projects

Soil is an important carbon reservoir as it can store twice the amount that atmosphere does and three times the biomass, which makes it a key component for climate change (CC) mitigation projects. It is important to know the potential of soil organic carbon storage (SOC) in the main uses of the soli and their expected dynamics due to potential use changes. SOCS is estimated in 7 of the dominant land use systems in the area of the study, with 5 replicas as follows: 1) banana with shade (SAF+banana); 2) cocoa with shade (Ca+S); 3) citrus (C); 4) low silvopastoral system (SSPB); 5) high silvopastoral system (SSPA); 6) gallery forests (BG); and 7) bush forest (MM). SOC concentration was analyzed in samples composed of 25 soil sub-samples per plot, and the DA was estimated with the cylinder method in a simple per plot. All land uses studied can mitigate CC when storing SOC. BG was the system that showed the highest carbon storage. On the other hand, SAF+banana stored the least SOC (72,7 vs 33,4Mg/ha, respectively). Changes in land use can cause CO2 emissions or an addition in carbon fixation. Changes in land use that increase SOC allow CC mitigation, which makes them feasible for funding, thus allowing an improvement in the livelihood of local producers.

Soil Carbon Storage in Silvopasture and Related Land-Use Systems in the Brazilian Cerrado

2011 ◽  
Vol 40 (3) ◽  
pp. 833-841 ◽  
Author(s):  
Rafael G. Tonucci ◽  
P. K. Ramachandran Nair ◽  
Vimala D. Nair ◽  
Rasmo Garcia ◽  
Fernando S. Bernardino
Keyword(s):  
Land Use ◽  
Soil Carbon ◽  
Carbon Storage ◽  
Brazilian Cerrado ◽  
Soil Carbon Storage ◽  
Land Use Systems

PROcess-guided deep learning and DAta-driven modelling (PRODA) uncovers key mechanisms underlying global soil carbon storage

2021 ◽  
Author(s):  
Feng Tao ◽  
Yuanyuan Huang ◽  
Bruce A. Hungate ◽  
Xingjie Lu ◽  
Toby D. Hocking ◽  
...  
Keyword(s):  
Deep Learning ◽  
Organic Carbon ◽  
Spatial Variation ◽  
Soil Carbon ◽  
Carbon Storage ◽  
Data Driven ◽  
Soil Carbon Storage ◽  
Community Land Model ◽  
Global Soil ◽  
Primary Driver

<p>Soil carbon storage is a vital ecosystem service. Yet mechanisms that regulate global soil organic carbon (SOC) dynamics remain elusive. Here we explicitly retrieve the spatial patterns of key biogeochemical mechanisms and their regulation pathways on SOC storage using the novel PROcess-guided deep learning and Data-driven modelling (PRODA) approach. PRODA integrates data assimilation, deep learning, big data with 54,073 globally distributed vertical SOC profiles, and the Community Land Model version 5 (CLM5) to best represent and understand global soil carbon cycle. The PRODA-optimised CLM5 can represent 56±2% spatial variation of SOC across the world. Among all the mechanisms we explored in this study, microbial carbon use efficiency (CUE) emerges as the most critical regulator of global SOC storage. Increasing CUE, where more carbon flow is channelled into stabilisation, coincides with decreasing temperature and favours SOC accrual. Global sensitivity analysis further confirms the CUE, surpassing carbon input and decomposition, as the primary driver to SOC storage and its spatial variation. An increase of CUE by 1% from its standing value will lead to an additional 76±3 petagrams global SOC accumulation. We conclude that how efficiently soil microorganisms utilise organic carbon in metabolism is central to global SOC stabilisation. Understanding detailed processes underlying CUE and its environmental dependence will be critical in accurately describing soil carbon dynamics and its feedbacks to climate change.</p>

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