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Soil-plant-atmosphere interactions: structure, function, and predictive scaling for climate change mitigation

Abstract

Background

It is well established that the functioning of terrestrial ecosystems depends on biophysical and biogeochemical feedbacks occurring at the soil-plant-atmosphere (SPA) interface. However, dynamic biophysical and biogeochemical processes that operate at local scales are seldom studied in conjunction with structural ecosystem properties that arise from broad environmental constraints. As a result, the effect of SPA interactions on how ecosystems respond to, and exert influence on, the global environment remains difficult to predict.

Scope

We review recent findings that link structural and functional SPA interactions and evaluate their potential for predicting ecosystem responses to chronic environmental pressures. Specifically, we propose a quantitative framework for the integrated analysis of three major plant functional groups (evergreen conifers, broadleaf deciduous, and understory shrubs) and their distinct mycorrhizal symbionts under rising levels of carbon dioxide, changing climate, and disturbance regime. First, we explain how symbiotic and competitive strategies involving plants and soil microorganisms influence scale-free patterns of carbon, nutrient, and water use from individual organisms to landscapes. We then focus on the relationship between those patterns and structural traits such as specific leaf area, leaf area index, and soil physical and chemical properties that constrain root connectivity and canopy gas exchange. Finally, we use those relationships to predict how changes in ecosystem structure may affect processes that are important for climate stability.

Conclusions

On the basis of emerging ecological theory and empirical biophysical and biogeochemical knowledge, we propose ten interpretive hypotheses that serve as a primary set of hierarchical relationships (or scaling rules), by which local SPA interactions can be spatially and temporally aggregated to inform broad climate change mitigation efforts. To this end, we provide a series of numerical formulations that simplify the net outcome of complex SPA interactions as a first step towards anticipating shifts in terrestrial carbon, water, and nutrient cycles.

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Abbreviations

A:

photosynthesis

AG:

aboveground

AM:

arbuscular mycorrhizae

BG:

belowground

Ca :

atmospheric CO2

Cbg :

total amount of carbon invested belowground

Ci :

intercellular CO2

Cresp :

heterotrophic respiration

Croot :

carbon allocated to root growth

Ctrans :

carbon transferred from roots to symbionts

D:

solute dispersion coefficient

δ13C:

stable carbon isotope ratio

δD:

stable hydrogen isotope ratio 

δ18O:

stable oxygen isotope ratios

EM:

ectomycorrhizae

ET:

evapotranspiration

GPP:

gross primary productivity

gs :

stomatal conductance

kw :

relative permeability of the soil

K :

hydraulic conductivity

LAI:

leaf area intex

N:

nitrogen

NM:

nonmycorrhizal

η:

soil porosity

P:

phosphorus

PM:

parent materials

PE:

pedogenic energy

q:

connectivity of root-fungal networks

Rac :

resource acquisition

Rsp :

species-specific level of resource needed to ensure survival

s:

soil saturation

SLA:

specific leaf area

t:

time

T:

transpiration

θ:

rate of resource uptake

WUE:

water-use efficiency

NUE:

nutrient-use efficiency

ω:

water-holding capacity

χ:

rate of water loss via ET

ψ :

water potential

℧:

return on carbon investment

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Acknowledgements

Some of the data and ideas used in this synthesis were developed based on funding by the National Science Foundation Plant Biotic Interactions 1758947, Convergence Accelerator Pilot 1939511, and Atmospheric and Geospace Sciences 1602958 programs. We are thankful for comments provided by two anonymous reviewers and members of the Soil-Plant-Atmosphere Research Laboratory and Institute of Ecology & Evolution at the University of Oregon, which helped improve this review.

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Correspondence to Lucas C. R. Silva.

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Silva, L.C.R., Lambers, H. Soil-plant-atmosphere interactions: structure, function, and predictive scaling for climate change mitigation. Plant Soil (2020). https://doi.org/10.1007/s11104-020-04427-1

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Keywords

  • Carbon-water relations
  • Emerging properties
  • Numerical modeling
  • Soil-plant-microbe feedbacks
  • Resource limitation
  • Symbiosis
  • Spatiotemporal scaling