气候变化领域集成服务门户(CCPortal): Global distribution, formation and fate of mineral-associated soil organic matter under a changing climate: A trait-based perspective

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DOI	10.1111/1365-2435.14040
	Global distribution, formation and fate of mineral-associated soil organic matter under a changing climate: A trait-based perspective
	Sokol, Noah W.; Whalen, Emily D.; Jilling, Andrea; Kallenbach, Cynthia; Pett-Ridge, Jennifer; Georgiou, Katerina
发表日期	2022
ISSN	0269-8463
EISSN	1365-2435
起始页码	1411
结束页码	1429
卷号	36 期号:6
英文摘要	1. Soil organic matter (SOM) is the largest actively cycling reservoir of terrestrial carbon (C), and the majority of SOM in Earth's mineral soils (-65%) is mineral-associated organic matter (MAOM). Thus, the formation and fate of MAOM can exert substantial influence on the global C cycle. To predict future changes to Earth's climate, it is critical to mechanistically understand the processes by which MAOM is formed and decomposed, and to accurately represent this process-based understanding in biogeochemical and Earth system models. 2. In this review, we use a trait-based framework to synthesize the interacting roles of plants, soil micro-organisms, and the mineral matrix in regulating MAOM formation and decomposition. Our proposed framework differentiates between plant and microbial traits that influence total OM inputs to the soil ('feedstock traits') versus traits that influence the proportion of OM inputs that are ultimately incorporated into MAOM ('MAOM formation traits'). We discuss how these feedstock and MAOM formation traits may be altered by warming, altered precipitation and elevated carbon dioxide. 3. At a planetary scale, these feedstock and MAOM formation traits help shape the distribution of MAOM across Earth's biomes, and modulate biome-specific responses of MAOM to climate change. We leverage a global synthesis of MAOM measurements to provide estimates of the total amount of MAOM-C globally (similar to 840-1540 Pg C; 34%-51% of total terrestrial organic C), and its distribution across Earth's biomes. We show that MAOM-C concentration is highest in temperate forests and grasslands, and lowest in shrublands and savannas. Grasslands and croplands have the highest proportion of soil organic carbon (SOC) in the MAOM fraction (i.e. the MAOM-C:SOC ratio), while boreal forests and tundra have the lowest MAOM-C:SOC ratio. Drawing on our trait framework, we then review experimental data and posit the effects of climate change on MAOM pools in different biomes. 4. We conclude by discussing how MAOM is integrated into soil C models, and how feedstock and MAOM formation traits may be included in these models. We also summarize the projected fate of MAOM under climate change scenarios (Representative Concentration Pathways 4.5 and 8.5) and discuss key model uncertainties.
英文关键词	carbon cycle; climate change; global synthesis; microbial traits; mineral-associated organic matter; plant traits; soil carbon; trait framework
语种	英语
WOS研究方向	Ecology
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000772669900001
来源期刊	FUNCTIONAL ECOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280483
作者单位	United States Department of Energy (DOE); Lawrence Livermore National Laboratory; University System Of New Hampshire; University of New Hampshire; Oklahoma State University System; Oklahoma State University - Stillwater; McGill University; University of California System; University of California Merced
推荐引用方式 GB/T 7714	Sokol, Noah W.,Whalen, Emily D.,Jilling, Andrea,et al. Global distribution, formation and fate of mineral-associated soil organic matter under a changing climate: A trait-based perspective[J],2022,36(6).
APA	Sokol, Noah W.,Whalen, Emily D.,Jilling, Andrea,Kallenbach, Cynthia,Pett-Ridge, Jennifer,&Georgiou, Katerina.(2022).Global distribution, formation and fate of mineral-associated soil organic matter under a changing climate: A trait-based perspective.FUNCTIONAL ECOLOGY,36(6).
MLA	Sokol, Noah W.,et al."Global distribution, formation and fate of mineral-associated soil organic matter under a changing climate: A trait-based perspective".FUNCTIONAL ECOLOGY 36.6(2022).