4.7 Article

Beyond microbes: Are fauna the next frontier in soil biogeochemical models?

期刊

SOIL BIOLOGY & BIOCHEMISTRY
卷 102, 期 -, 页码 40-44

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.soilbio.2016.08.008

关键词

Microbes; Fauna; Earth systems models; Food web interactions; Soil carbon; Biogeochemistry

资金

  1. US Department of Agriculture [NIFA 2015-67003-23485]
  2. US Department of Energy [TES DE-SC0014374]
  3. United States Department of Agriculture NIFA Foundational Program [2014-67019-21716]
  4. USDA [2015-35615-22747, 2015-42247-519119]
  5. U.S. Geological Survey Ecosystems Mission Area
  6. New Hampshire Agricultural Experiment Station
  7. NIFA [2014-67019-21716, 687270] Funding Source: Federal RePORTER

向作者/读者索取更多资源

The explicit representation of microbial communities in soil biogeochemical models is improving their projections, promoting new interdisciplinary research, and stimulating novel theoretical developments. However, microbes are the foundation of complicated soil food webs, with highly intricate and non-linear interactions among trophic groups regulating soil biogeochemical cycles. This food web includes fauna, which influence litter decomposition and the structure and activity of the microbial community. Given the early success of microbial-explicit models, should we also consider explicitly representing faunal activity and physiology in soil biogeochemistry models? Here we explore this question, arguing that the direct effects of fauna on litter decomposition are stronger than on soil organic matter dynamics, and that fauna can have strong indirect effects on soil biogeochemical cycles by influencing microbial population dynamics, but the direction and magnitude of these effects remains too unpredictable for models used to predict global biogeochemical patterns. Given glaring gaps in our understanding of fauna-microbe interactions and how these might play out along climatic and land use gradients, we believe it remains early to explicitly represent fauna in these global-scale models. However, their incorporation into models used for conceptual exploration of food-web interactions or into ecosystem scale models using site-specific data could provide rich theoretical breakthroughs and provide a starting point for improving model projections across scales. (C) 2016 Elsevier Ltd. All rights reserved.

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