4.8 Article

Biotic responses buffer warming-induced soil organic carbon loss in Arctic tundra

期刊

GLOBAL CHANGE BIOLOGY
卷 24, 期 10, 页码 4946-4959

出版社

WILEY
DOI: 10.1111/gcb.14325

关键词

acclimation; biotic responses; carbon modeling; climate warming; data assimilation; permafrost; soil carbon

资金

  1. US Department of Energy, Terrestrial Ecosystem Sciences [DE SC00114085]
  2. Biological Systems Research on the Role of Microbial Communities in Carbon Cycling Program [DE-SC0004601, DE-SC0010715]
  3. US National Science Foundation (NSF) [EF 1137293, OIA-1301789]
  4. European Union [654132]
  5. Division Of Environmental Biology
  6. Direct For Biological Sciences [1807529] Funding Source: National Science Foundation
  7. Marie Curie Actions (MSCA) [654132] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

Climate warming can result in both abiotic (e.g., permafrost thaw) and biotic (e.g., microbial functional genes) changes in Arctic tundra. Recent research has incorporated dynamic permafrost thaw in Earth system models (ESMs) and indicates that Arctic tundra could be a significant future carbon (C) source due to the enhanced decomposition of thawed deep soil C. However, warming-induced biotic changes may influence biologically related parameters and the consequent projections in ESMs. How model parameters associated with biotic responses will change under warming and to what extent these changes affect projected C budgets have not been carefully examined. In this study, we synthesized six data sets over 5years from a soil warming experiment at the Eight Mile Lake, Alaska, into the Terrestrial ECOsystem (TECO) model with a probabilistic inversion approach. The TECO model used multiple soil layers to track dynamics of thawed soil under different treatments. Our results show that warming increased light use efficiency of vegetation photosynthesis but decreased baseline (i.e., environment-corrected) turnover rates of SOC in both the fast and slow pools in comparison with those under control. Moreover, the parameter changes generally amplified over time, suggesting processes of gradual physiological acclimation and functional gene shifts of both plants and microbes. The TECO model predicted that field warming from 2009 to 2013 resulted in cumulative C losses of 224 or 87g/m(2), respectively, without or with changes in those parameters. Thus, warming-induced parameter changes reduced predicted soil C loss by 61%. Our study suggests that it is critical to incorporate biotic changes in ESMs to improve the model performance in predicting C dynamics in permafrost regions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据