Depth-dependent drivers of soil microbial necromass carbon across Tibetan alpine grasslands

© 2021 John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 28(2022), 3 vom: 04. Feb., Seite 936-949
1. Verfasser: He, Mei (VerfasserIn)
Weitere Verfasser: Fang, Kai, Chen, Leiyi, Feng, Xuehui, Qin, Shuqi, Kou, Dan, He, Hongbo, Liang, Chao, Yang, Yuanhe
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article carbon cycle carbon-climate feedback deep soil microbial residue mineral protection plant carbon input Soil Carbon 7440-44-0
Beschreibung
Zusammenfassung:© 2021 John Wiley & Sons Ltd.
Microbial necromass carbon (C) has been considered an important contributor to persistent soil C pool. However, there still lacks large-scale systematic observations on microbial necromass C in different soil layers, particularly for alpine ecosystems. Besides, it is still unclear whether the relative importance of biotic and abiotic variables such as plant C input and mineral properties in regulating microbial necromass C would change with soil depth. Based on the combination of large-scale sampling along a ~2200 km transect across Tibetan alpine grasslands and biomarker analysis, together with a global data synthesis across grassland ecosystems, we observed a relatively low proportion of microbial-derived C in Tibetan alpine grasslands compared to global grasslands (topsoil: 45.4% vs. 58.1%; subsoil: 41.7% vs. 53.7%). We also found that major determinants of microbial necromass C depended on soil depth. In topsoil, both plant C input and mineral protection exerted dominant effects on microbial necromass C. However, in subsoil, the physico-chemical protection provided by soil clay particles, iron-aluminum oxides, and exchangeable calcium dominantly facilitated the preservation of microbial necromass C. The differential drivers over microbial necromass C between soil depths should be considered in Earth system models for accurately forecasting soil C dynamics and its potential feedback to global warming
Beschreibung:Date Completed 23.02.2022
Date Revised 23.02.2022
published: Print-Electronic
Citation Status MEDLINE
ISSN:1365-2486
DOI:10.1111/gcb.15969