Senani Karunaratne, Christina Asanopoulos, Huidong Jin, Jeff Baldock, Ross Searle, Ben Macdonald, Lynne M. Macdonald
{"title":"估算土壤细粒中可实现的土壤有机碳赤字，为可行的储存目标和碳耕作决策降低风险提供依据","authors":"Senani Karunaratne, Christina Asanopoulos, Huidong Jin, Jeff Baldock, Ross Searle, Ben Macdonald, Lynne M. Macdonald","doi":"10.1071/sr23096","DOIUrl":null,"url":null,"abstract":"<strong> Context</strong><p>Defining soil organic carbon (SOC) ‘potential’ storage, underpins the economic feasibility of carbon sequestration; however, ‘potential’ storage is not quantifiable using historical and current empirical data. We propose a framework to define ‘attainable’ SOC storage that varies with soil properties, environmental conditions and management practices.</p><strong> Aims</strong><p>Within the soil fine fraction, we quantified additional storage capacity of the fine fraction SOC attainable deficit (FF<sub>SOC</sub>_<sub>Attainable_Def</sub>) by the difference between attainable (FF<sub>SOC_Attainable</sub>) and actual fine fraction SOC.</p><strong> Methods</strong><p>Using three analyses, we developed a framework to: (1) estimate the FF<sub>SOC_Attainable_Def</sub> of the fine fraction of Australian agricultural soils within broad mean annual precipitation ranges and soil depth classes; (2) establish rapid prediction capability for the FF<sub>SOC</sub>_<sub>Attainable_Def</sub> using infrared/partial least square regression modelling; and (3) generate spatial FF<sub>SOC_Attainable_Def</sub> estimates for agricultural regions with ensemble Random Forest modelling.</p><strong> Key results</strong><p>Global analyses of FF<sub>SOC</sub>_<sub>Attainable_Def</sub> do not consider key environmental drivers of carbon inflows and outflows nor soil depth. Separate analyses of soils derived from different combinations of precipitation and soil depth need to include variations in environmental conditions and soil properties to accurately define FF<sub>SOC_Attainable</sub> and FF<sub>SOC_Attainable_Def</sub> within the fine fraction. Spatially estimated FF<sub>SOC</sub>_<sub>Attainable_Def</sub> stocks revealed an opportunity to increase current fine fraction SOC stock by 3.47 GT (0–0.10 m depth) and 3.24 GT (0.10–0.30 m depth).</p><strong> Conclusions</strong><p>Our findings suggests that FF<sub>SOC</sub>_<sub>Attainable_Def</sub> is dynamic, not static. Caution is needed when interpreting the results from this analysis.</p><strong> Implications</strong><p>Deriving estimates of FF<sub>SOC</sub>_<sub>Attainable_Def</sub> will reduce risks in decision making on carbon farming in national policies.</p>","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":"68 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating the attainable soil organic carbon deficit in the soil fine fraction to inform feasible storage targets and de-risk carbon farming decisions\",\"authors\":\"Senani Karunaratne, Christina Asanopoulos, Huidong Jin, Jeff Baldock, Ross Searle, Ben Macdonald, Lynne M. Macdonald\",\"doi\":\"10.1071/sr23096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong> Context</strong><p>Defining soil organic carbon (SOC) ‘potential’ storage, underpins the economic feasibility of carbon sequestration; however, ‘potential’ storage is not quantifiable using historical and current empirical data. We propose a framework to define ‘attainable’ SOC storage that varies with soil properties, environmental conditions and management practices.</p><strong> Aims</strong><p>Within the soil fine fraction, we quantified additional storage capacity of the fine fraction SOC attainable deficit (FF<sub>SOC</sub>_<sub>Attainable_Def</sub>) by the difference between attainable (FF<sub>SOC_Attainable</sub>) and actual fine fraction SOC.</p><strong> Methods</strong><p>Using three analyses, we developed a framework to: (1) estimate the FF<sub>SOC_Attainable_Def</sub> of the fine fraction of Australian agricultural soils within broad mean annual precipitation ranges and soil depth classes; (2) establish rapid prediction capability for the FF<sub>SOC</sub>_<sub>Attainable_Def</sub> using infrared/partial least square regression modelling; and (3) generate spatial FF<sub>SOC_Attainable_Def</sub> estimates for agricultural regions with ensemble Random Forest modelling.</p><strong> Key results</strong><p>Global analyses of FF<sub>SOC</sub>_<sub>Attainable_Def</sub> do not consider key environmental drivers of carbon inflows and outflows nor soil depth. Separate analyses of soils derived from different combinations of precipitation and soil depth need to include variations in environmental conditions and soil properties to accurately define FF<sub>SOC_Attainable</sub> and FF<sub>SOC_Attainable_Def</sub> within the fine fraction. Spatially estimated FF<sub>SOC</sub>_<sub>Attainable_Def</sub> stocks revealed an opportunity to increase current fine fraction SOC stock by 3.47 GT (0–0.10 m depth) and 3.24 GT (0.10–0.30 m depth).</p><strong> Conclusions</strong><p>Our findings suggests that FF<sub>SOC</sub>_<sub>Attainable_Def</sub> is dynamic, not static. 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Estimating the attainable soil organic carbon deficit in the soil fine fraction to inform feasible storage targets and de-risk carbon farming decisions
Context
Defining soil organic carbon (SOC) ‘potential’ storage, underpins the economic feasibility of carbon sequestration; however, ‘potential’ storage is not quantifiable using historical and current empirical data. We propose a framework to define ‘attainable’ SOC storage that varies with soil properties, environmental conditions and management practices.
Aims
Within the soil fine fraction, we quantified additional storage capacity of the fine fraction SOC attainable deficit (FFSOC_Attainable_Def) by the difference between attainable (FFSOC_Attainable) and actual fine fraction SOC.
Methods
Using three analyses, we developed a framework to: (1) estimate the FFSOC_Attainable_Def of the fine fraction of Australian agricultural soils within broad mean annual precipitation ranges and soil depth classes; (2) establish rapid prediction capability for the FFSOC_Attainable_Def using infrared/partial least square regression modelling; and (3) generate spatial FFSOC_Attainable_Def estimates for agricultural regions with ensemble Random Forest modelling.
Key results
Global analyses of FFSOC_Attainable_Def do not consider key environmental drivers of carbon inflows and outflows nor soil depth. Separate analyses of soils derived from different combinations of precipitation and soil depth need to include variations in environmental conditions and soil properties to accurately define FFSOC_Attainable and FFSOC_Attainable_Def within the fine fraction. Spatially estimated FFSOC_Attainable_Def stocks revealed an opportunity to increase current fine fraction SOC stock by 3.47 GT (0–0.10 m depth) and 3.24 GT (0.10–0.30 m depth).
Conclusions
Our findings suggests that FFSOC_Attainable_Def is dynamic, not static. Caution is needed when interpreting the results from this analysis.
Implications
Deriving estimates of FFSOC_Attainable_Def will reduce risks in decision making on carbon farming in national policies.
期刊介绍：
Soil Research (formerly known as Australian Journal of Soil Research) is an international journal that aims to rapidly publish high-quality, novel research about fundamental and applied aspects of soil science. As well as publishing in traditional aspects of soil biology, soil physics and soil chemistry across terrestrial ecosystems, the journal welcomes manuscripts dealing with wider interactions of soils with the environment.
Soil Research is published with the endorsement of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Australian Academy of Science.
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