AI Article Synopsis

  • Intra-specific trait variation (ITV) is important for understanding plant responses to environmental changes, but it is often overlooked, especially for traits like pressure volume (PV) curve parameters.
  • A study defined a reference ITV based on mature sun leaves from individual plants under controlled conditions, and hypothesized that PV parameters would exhibit less variability compared to other leaf traits.
  • The research found that PV parameters indeed showed low ITV and maintained strong intraspecific relationships, supporting the idea that species-mean PV measures can be used to assess leaf water potential effectively in larger-scale applications.

Article Abstract

Intra-specific trait variation (ITV) plays a role in processes at a wide range of scales from organs to ecosystems across climate gradients. Yet, ITV remains rarely quantified for many ecophysiological traits typically assessed for species means, such as pressure volume (PV) curve parameters including osmotic potential at full turgor and modulus of elasticity, which are important in plant water relations. We defined a baseline "reference ITV" (ITV ) as the variation among fully exposed, mature sun leaves of replicate individuals of a given species grown in similar, well-watered conditions, representing the conservative sampling design commonly used for species-level ecophysiological traits. We hypothesized that PV parameters would show low ITV relative to other leaf morphological traits, and that their intraspecific relationships would be similar to those previously established across species and proposed to arise from biophysical constraints. In a database of novel and published PV curves and additional leaf structural traits for 50 diverse species, we found low ITV for PV parameters relative to other morphological traits, and strong intraspecific relationships among PV traits. Simulation modeling showed that conservative ITV enables the use of species-mean PV parameters for scaling up from spectroscopic measurements of leaf water content to enable sensing of leaf water potential.

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Source
http://dx.doi.org/10.1111/ppl.13974DOI Listing

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