Abstract

The leaf economics spectrum1,2 and the global spectrum of plant forms and functions3 revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species2. Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities4. However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability4,5. Here we derive a set of ecosystem functions6 from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems7,8.

Highlights

  • We identify and quantity the major axes of terrestrial ecosystem functions and sources of variation along these axes

  • We identify the most important axes of variation of ecosystem functions using an exploratory analysis similar to that used for the global spectrum of plant forms and functions[3]

  • We calculated a single set of functional properties: maximum gross CO2 uptake at light saturation (GPPsat), maximum net ecosystem productivity (NEPmax), maximum evapotranspiration (ETmax), evaporative fraction (EF), EF amplitude (EFampl), maximum dry canopy surface conductance (Gsmax), maximum and mean basal ecosystem respiration (Rbmax and Rb, respectively), and apparent carbon-use efficiency

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Summary

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Mirco Migliavacca1,2,55 ✉, Talie Musavi[1], Miguel D. Baldocchi[6], Oscar Perez-Priego[7], Rune Christiansen[8], Jonas Peters[8], Karen Anderson[9], Michael Bahn[10], T. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems[7,8]. The key functional axes that control the behaviour of terrestrial ecosystems have not yet been quantified[5] This can be achieved by identifying associations between a comprehensive set of ecosystem functions measured consistently across major terrestrial biomes and a range of climatic conditions.

High Low
Climate Type
VPD AGB SWin
Online content
Methods
LEGaγ ρCpGaVPD
Invariant causal regression models and causal variable importance
Code availability
Reporting Summary
Data analysis
Study description
Research sample
Data collection
Timing and spatial scale
Data exclusions
Findings
Did the study involve field work?
Full Text
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