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Conceptualizing soil organic matter into particulate and mineral-associated forms to address global change in the 21st century.
Global Change Biology ( IF 10.8 ) Pub Date : 2019-11-02 , DOI: 10.1111/gcb.14859
Jocelyn M Lavallee 1 , Jennifer L Soong 2 , M Francesca Cotrufo 1, 3
Affiliation  

Managing soil organic matter (SOM) stocks to address global change challenges requires well-substantiated knowledge of SOM behavior that can be clearly communicated between scientists, management practitioners, and policy makers. However, SOM is incredibly complex and requires separation into multiple components with contrasting behavior in order to study and predict its dynamics. Numerous diverse SOM separation schemes are currently used, making cross-study comparisons difficult and hindering broad-scale generalizations. Here, we recommend separating SOM into particulate (POM) and mineral-associated (MAOM) forms, two SOM components that are fundamentally different in terms of their formation, persistence, and functioning. We provide evidence of their highly contrasting physical and chemical properties, mean residence times in soil, and responses to land use change, plant litter inputs, warming, CO2 enrichment, and N fertilization. Conceptualizing SOM into POM versus MAOM is a feasible, well-supported, and useful framework that will allow scientists to move beyond studies of bulk SOM, but also use a consistent separation scheme across studies. Ultimately, we propose the POM versus MAOM framework as the best way forward to understand and predict broad-scale SOM dynamics in the context of global change challenges and provide necessary recommendations to managers and policy makers.

中文翻译:

将土壤有机物概念化为颗粒状和与矿物有关的形式,以应对21世纪的全球变化。

管理土壤有机物(SOM)种群以应对全球变化的挑战,需要充分了解SOM行为的知识,以便科学家,管理从业者和决策者之间可以清楚地交流。但是,SOM非常复杂,需要将具有不同行为的多个部分分开才能研究和预测其动力学。当前使用了多种多样的SOM分离方案,这使得跨研究比较变得困难,并且阻碍了广泛的概括。在这里,我们建议将SOM分为颗粒(POM)和矿物相关(MAOM)形式,这两种SOM组件在形成,持久性和功能方面都存在根本差异。我们提供了它们的物理和化学特性,在土壤中的平均停留时间,以及对土地利用变化,植物凋落物投入,变暖,CO2富集和氮肥的响应。将SOM概念化为POM和MAOM是一个可行的,得到良好支持和有用的框架,它将使科学家们不仅可以进行大量SOM的研究,而且可以在研究中使用一致的分离方案。最终,我们提出POM与MAOM框架,作为在全球变化挑战的背景下理解和预测大规模SOM动态的最佳方式,并为管理人员和决策者提供必要的建议。
更新日期:2019-11-04
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