Tree growth is correlated with hydraulic efficiency and safety across 22 tree species in a subtropical karst forest

Tree Physiol. 2023 Aug 11;43(8):1307-1318. doi: 10.1093/treephys/tpad050.

Abstract

Karst forests are habitats in which access to soil water can be challenging for plants. Therefore, safe and efficient xylem water transport and large internal water storage may benefit tree growth. In this study, we selected 22 tree species from a primary subtropical karst forest in southern China and measured their xylem anatomical traits, saturated water content (SWC), hydraulic conductivity (Ks) and embolism resistance (P50). Additionally, we monitored growth of diameter at breast height (DBH) in 440 individual trees of various sizes over three consecutive years. Our objective was to analyze the relationships between xylem structure, hydraulic efficiency, safety, water storage and growth of karst tree species. The results showed significant differences in structure but not in hydraulic traits between deciduous and evergreen species. Larger vessel diameter, paratracheal parenchyma and higher SWC were correlated with higher Ks. Embolism resistance was not correlated with the studied anatomical traits, and no tradeoff with Ks was observed. In small trees (5-15 cm DBH), diameter growth rate (DGR) was independent of hydraulic traits. In large trees (>15 cm DBH), higher Ks and more negative P50 accounted for higher DGR. From lower to greater embolism resistance, the size-growth relationship shifted from growth deceleration to acceleration with increasing tree size in eight of the 22 species. Our study highlights the vital contributions of xylem hydraulic efficiency and safety to growth rate and dynamics in karst tree species; therefore, we strongly recommend their integration into trait-based forest dynamic models.

Keywords: embolism resistance; hydraulic efficiency; karst forest; tree growth; water storage; xylem anatomy; xylem parenchyma.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biological Transport
  • China
  • Forests*
  • Trees*
  • Water

Substances

  • Water

Associated data

  • figshare/10.6084/m9.figshare.22208782