Ecosystem responses to elevated CO governed by plant-soil interactions and the cost of nitrogen acquisition.

New Phytol

AXA Chair Programme in Biosphere and Climate Impacts, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY, UK.

Published: January 2018

AI Article Synopsis

  • Land ecosystems capture about 25% of human-caused CO emissions, but factors like nitrogen (N) availability may limit their carbon (C) storage as CO levels rise.
  • The paper reviews elevated CO experiments, emphasizing how plant interactions with mycorrhizal fungi and nitrogen-fixing microbes influence their capacity to store carbon.
  • Results show that plants with certain fungal associations acquire nitrogen more efficiently, yet their increased growth can lead to decreased soil carbon through a process called priming, suggesting a more complex interaction in carbon cycle models.

Article Abstract

Contents Summary 507 I. Introduction 507 II. The return on investment approach 508 III. CO response spectrum 510 IV. Discussion 516 Acknowledgements 518 References 518 SUMMARY: Land ecosystems sequester on average about a quarter of anthropogenic CO emissions. It has been proposed that nitrogen (N) availability will exert an increasingly limiting effect on plants' ability to store additional carbon (C) under rising CO , but these mechanisms are not well understood. Here, we review findings from elevated CO experiments using a plant economics framework, highlighting how ecosystem responses to elevated CO may depend on the costs and benefits of plant interactions with mycorrhizal fungi and symbiotic N-fixing microbes. We found that N-acquisition efficiency is positively correlated with leaf-level photosynthetic capacity and plant growth, and negatively with soil C storage. Plants that associate with ectomycorrhizal fungi and N-fixers may acquire N at a lower cost than plants associated with arbuscular mycorrhizal fungi. However, the additional growth in ectomycorrhizal plants is partly offset by decreases in soil C pools via priming. Collectively, our results indicate that predictive models aimed at quantifying C cycle feedbacks to global change may be improved by treating N as a resource that can be acquired by plants in exchange for energy, with different costs depending on plant interactions with microbial symbionts.

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Source
http://dx.doi.org/10.1111/nph.14872DOI Listing

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