Measurements and Models to Identify Agroecosystem Practices That Enhance Soil Organic Carbon under Changing Climate

Gollany, Hero T.; Venterea, Rodney T.

doi:10.2134/jeq2018.05.0213

Cited by 9 publications

(5 citation statements)

References 40 publications

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“…Soils with sufficiently 2 of 25 high [6,7] and balanced SOC contents are considered healthy soils [8,9] and are less prone to impacts of climate change [7]. Adequate land management is necessary to preserve soil health and soil quality [10] and enables an increase of agroecosystem resiliency [11].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites

et al. 2021

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For food security issues or global climate change, there is a growing need for large-scale knowledge of soil organic carbon (SOC) contents in agricultural soils. To capture and quantify SOC contents at a field scale, Earth Observation (EO) can be a valuable data source for area-wide mapping. The extraction of exposed soils from EO data is challenging due to temporal or permanent vegetation cover, the influence of soil moisture or the condition of the soil surface. Compositing techniques of multitemporal satellite images provide an alternative to retrieve exposed soils and to produce a data source. The repeatable soil composites, containing averaged exposed soil areas over several years, are relatively independent from seasonal soil moisture and surface conditions and provide a new EO-based data source that can be used to estimate SOC contents over large geographical areas with a high spatial resolution. Here, we applied the Soil Composite Mapping Processor (SCMaP) to the Landsat archive between 1984 and 2014 of images covering Bavaria, Germany. Compared to existing SOC modeling approaches based on single scenes, the 30-year SCMaP soil reflectance composite (SRC) with a spatial resolution of 30 m is used. The SRC spectral information is correlated with point soil data using different machine learning algorithms to estimate the SOC contents in cropland topsoils of Bavaria. We developed a pre-processing technique to address the issue of combining point information with EO pixels for the purpose of modeling. We applied different modeling methods often used in EO soil studies to choose the best SOC prediction model. Based on the model accuracies and performances, the Random Forest (RF) showed the best capabilities to predict the SOC contents in Bavaria (R² = 0.67, RMSE = 1.24%, RPD = 1.77, CCC = 0.78). We further validated the model results with an independent dataset. The comparison between the measured and predicted SOC contents showed a mean difference of 0.11% SOC using the best RF model. The SCMaP SRC is a promising approach to predict the spatial SOC distribution over large geographical extents with a high spatial resolution (30 m).

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Section: Introductionmentioning

confidence: 99%

Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites

et al. 2021

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“…4.1 The impact of climate change, environmental pollution and conservation variables on the water ESV is significant and worthy of attention Climate change, environmental pollution and conservation variables are the focus of this paper. Relevant scholars have analyzed the impact of different climatic conditions on the value of ecosystem services such as forests, cultivated land, and grasslands (Nelson et al, 2013;Li et al, 2016;Siriwardena et al, 2016;Gollany and Venterea, 2018;Scheiter et al, 2019;Balasubramanian, 2019;Kang et al, 2020). This paper believes that it is particularly important to study the impact of climatic conditions on the value of water ecosystem services.…”

Section: Discussionmentioning

confidence: 99%

Evaluation and evolution analysis of water ecosystem service value in the yangtze river delta region based on meta-analysis

Shao

Long

et al. 2022

Front. Environ. Sci.

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Rapid economic development, industrialization and urbanization lead to environmental pollution and damage the stability of regional ecosystems. The Yangtze River Delta region is an economically developed region in China, faces the problems of water environment pollution and water ecosystem service degradation. Reasonable assessment of water ecosystem service value (ESV) is of great significance for grasping the status of regional water ecosystem services, improving water ecological environment, and realizing regional sustainable development. This study collects 119 research literature about China, including 156 observations to establish a value transfer database; specially builds a Meta-analysis model including the variables of climate conditions, environmental pollution and environmental protection, then assesses the waters ESV in the Yangtze River Delta using the model and analyzes the changes from 2009 to 2018. The study finds that the location, population density, the area of the site, average annual precipitation, literature characteristics, landscape characteristics, wastewater discharge, environmental protection expenditure, and wastewater treatment costs can affect the water ESV significantly. Based on the meta-analysis benefit transfer model to evaluate the water ESV in Yangtze River Delta region is RMB 177,126 yuan/ hha/year and the growth rate is 27.18%. The place with the highest value per unit area is Shanghai, and the total value in Jiangsu Province is the highest. Economic development, waste water discharge and wastewater treatment costs are the main reasons for the changes and differences in the value of water ecosystem services in the Yangtze River Delta region. The contribution of this study to the field of water ESV assessment is that the meta-analysis model includes a broader set of influencing variables, including landscape, population density, climate change and environmental protection. It provides a practical reference for water ESV assessment on the local scale and a scientific basis for water area management related to the development of water area and ecological compensation, as well as promote the sustainable development of water ecosystems.

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“…Carbon is one of the most studied elements in soil analysis using LIBS (Senesi & Senesi, 2016), mainly because of concerns about the need to increase soil C sequestration to mitigate global climate change caused by greenhouse gas emissions (Gollany & Venterea, 2018;Lal, 2004aLal, , 2004b. Its importance in these areas is due to the fact that C is the main constituent of SOM, often assumed to be 58% (Nelson & Sommers, 1982).…”

Section: Carbonmentioning

confidence: 99%

“…Soil organic matter has an important role in maintaining soil fertility, protecting soil from erosive forces and reducing carbon dioxide (CO 2 ) emissions. At the global scale, soil agroecosystems can be a CO 2 source or sink (Feller, Blanchart, Bernoux, Lal, & Manlay, 2012;Lal, 2010), because the rate of soil C storage can be increased by the adoption of specific management practices (Gollany & Venterea, 2018;Lal, 2010;Smith, Fang, Dawson, & Moncrieff, 2008). However, to estimate the magnitude of soil C stocks, methodological standardization and periodic monitoring must be addressed in long-term field studies.…”

Section: Carbonmentioning

confidence: 99%

Applications of laser‐induced breakdown spectroscopy for soil characterization, part II: Review of elemental analysis and soil classification

Boas

Franco

Martin‐Neto

et al. 2020

European J Soil Science

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In‐field soil health assessments, including plant nutrients and toxic elements, are needed and could improve the sustainability of agriculture production. Among the available analytical techniques for these analyses, laser‐induced breakdown spectroscopy (LIBS) has become one of the most promising techniques for real‐time soil analysis at low cost and without the need for reagents. The first part of this two‐part review (Part I, Villas‐Boas, P.R., de Franco, M.A., Gollany, H.T., Martin‐Neto, L. & Milori, D.M.B.P. 2019. Applications of laser‐induced breakdown spectroscopy for soil characterization, Part I: Review of Fundamentals and Chemical and Physical Properties.) in this issue focused on the fundamentals of LIBS for soil analysis and its use for soil chemical and physical characterization. Our objectives in this review article (Part II) are to review (a) the main applications of LIBS in the determination of soil carbon (C), nutrients and toxic elements, spatial elemental mapping, and (b) its use in soil classification. Traditional and more recent techniques will be compared to LIBS, considering their advantages and disadvantages. Laser‐induced breakdown spectroscopy is a promising, versatile technique for detecting many elements in soil samples, requires little or no sample preparation, takes only a few seconds per sample, and has a low cost per sample compared to other techniques. However, overcoming matrix effects is a challenge for LIBS applications in soil analysis, because most studies are conducted with limited changes in the matrix. In spite of the limitation of matrix effects, a typical LIBS system has a limit of detection of 0.3, 0.6, 4, 7, 10, 18, 46 and 89 mg kg−1 for Mo, Cu, Mg, Mn, Fe, Zn, K and Ca, respectively. Laser‐induced breakdown spectroscopy holds potential for real‐time in‐field spatial elemental analysis of soils and practical applications in precision farming with proper calibration. This could lead to immediate diagnoses of contaminated soil and inefficient nutrient supplies and facilitate well‐informed soil management, increasing agricultural production while minimizing environmental impacts. Highlights Laser‐induced breakdown spectroscopy (LIBS) is a fast analytical technique with great potential for elemental mapping of soils. Elemental analyses of soil and plants and soil classification by LIBS are reviewed. Soil and rhizosphere spatial elemental analyses by LIBS are presented. LIBS advantages, limitations and challenges are discussed for soil elemental analysis.

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Measurements and Models to Identify Agroecosystem Practices That Enhance Soil Organic Carbon under Changing Climate

Cited by 9 publications

References 40 publications

Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites

Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites

Evaluation and evolution analysis of water ecosystem service value in the yangtze river delta region based on meta-analysis

Applications of laser‐induced breakdown spectroscopy for soil characterization, part II: Review of elemental analysis and soil classification

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