Ecology and methodology of comparing traits and decomposition rates of green leaves versus senesced litter across plant species and types

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Chao Guo - , East China Normal University, Shanghai, Technische Universität Dresden (Autor:in)
  • Bin Tuo - , Vrije Universiteit Amsterdam (VU) (Autor:in)
  • Sebastian Seibold - , Professur für Forstzoologie (Autor:in)
  • Bi‐Le Sai - , East China Normal University, Shanghai (Autor:in)
  • Han‐Tang Qin - , East China Normal University, Shanghai (Autor:in)
  • En‐Rong Yan - , East China Normal University, Shanghai (Autor:in)
  • Johannes H. C. Cornelissen - , Vrije Universiteit Amsterdam (VU) (Autor:in)

Abstract

Variation in leaf traits is critical for carbon gains and losses during leaf life and drives litter carbon and nutrient losses via decomposition. Accurately quantifying litter decomposition parameters is essential for assessing ecosystem carbon and nutrient dynamics. Leaf litterbags have commonly been employed to measure effects of environmental drivers, decomposers, and plant traits on decomposition rates. There has been much debate regarding the suitability of substituting senesced dead leaves with fresh (green) leaves in litterbags, which has been common practice for mimicking green leaf fall or for practical reasons. Therefore, we tested the null hypothesis that replacement of dead leaves with fresh leaves in litterbag experiments is justified, based on similarities in structural and chemical traits between fresh and dead leaves across plant species and growth forms. We conducted a paired litterbag decomposition experiment with both fresh and dead leaves of 26 common species in subtropical China, in each of five contrasting ecosystems. While fresh leaves generally decomposed faster than dead leaves, this deviation varied among species and growth forms, based on their traits. Overall, there was significant but rather weak correlation between dead leaf decomposition rate k and fresh leaf k, across species and ecosystem types; the deviation between fresh and dead leaf k was larger for fast-decomposing, mostly herbaceous species. The different decomposition patterns for fresh versus dead leaves were underpinned by key underlying traits integrated in leaf resource economics spectra (LES) for fresh and dead leaves. The dead leaf LES exhibited a greater predictive capability for dead leaf k while the fresh leaf LES had higher explanatory value for the fresh leaf k values. Our findings partly reject the null hypothesis and ask for caution in inferring leaf litter decomposition rates based on green leaf litterbags or traits data. We suggest follow-up research on substituting senesced roots and stems with fresh ones in decomposition experiments. Synthesis. Human activities and extreme weather events are leading to increasing pulse inputs of fresh plant parts and our study contributes to knowledge on how they contribute to overall decomposition rates besides senesced litter inputs.

Details

OriginalspracheEnglisch
Seiten (von - bis)1074-1086
Seitenumfang13
FachzeitschriftJournal of ecology
Jahrgang112
Ausgabenummer5
PublikationsstatusVeröffentlicht - Mai 2024
Peer-Review-StatusJa

Externe IDs

Scopus 85186917322
Mendeley 257bcc67-e13e-3667-8cfa-80c70215c9dd

Schlagworte

Schlagwörter

  • leaf litter traits, leaf economic spectrum, green leaf traits, ecosystem types, plant soil interaction, k values, methodology