Estimating canopy gross primary production by combining phloem stable isotopes with canopy and mesophyll conductances

Plant Cell Environ. 2020 Sep;43(9):2124-2142. doi: 10.1111/pce.13835. Epub 2020 Jul 24.

Abstract

Gross primary production (GPP) is a key component of the forest carbon cycle. However, our knowledge of GPP at the stand scale remains uncertain, because estimates derived from eddy covariance (EC) rely on semi-empirical modelling and the assumptions of the EC technique are sometimes not fully met. We propose using the sap flux/isotope method as an alternative way to estimate canopy GPP, termed GPPiso/SF , at the stand scale and at daily resolution. It is based on canopy conductance inferred from sap flux and intrinsic water-use efficiency estimated from the stable carbon isotope composition of phloem contents. The GPPiso/SF estimate was further corrected for seasonal variations in photosynthetic capacity and mesophyll conductance. We compared our estimate of GPPiso/SF to the GPP derived from PRELES, a model parameterized with EC data. The comparisons were performed in a highly instrumented, boreal Scots pine forest in northern Sweden, including a nitrogen fertilized and a reference plot. The resulting annual and daily GPPiso/SF estimates agreed well with PRELES, in the fertilized plot and the reference plot. We discuss the GPPiso/SF method as an alternative which can be widely applied without terrain restrictions, where the assumptions of EC are not met.

Keywords: PRELES; boreal forest; intrinsic water-use efficiency; mesophyll conductance; nitrogen fertilization; phloem δ13C; sap flux; stand transpiration.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carbon Cycle
  • Carbon Isotopes / analysis
  • Ecosystem
  • Mesophyll Cells / physiology*
  • Models, Biological*
  • Nitrogen
  • Phloem / chemistry*
  • Phloem / physiology
  • Photosynthesis
  • Pinus sylvestris
  • Plant Transpiration / physiology
  • Sweden
  • Taiga*
  • Trees
  • Water / metabolism

Substances

  • Carbon Isotopes
  • Water
  • Carbon-13
  • Nitrogen