Climate and large-sized trees, but not diversity, drive above-ground biomass in subtropical forests

Kauane Maiara Bordin, Adriane Esquivel-muelbert, Rodrigo Scarton Bergamin, Joice Klipel, Rayana Caroline Picolotto, Marcelo Araújo Frangipani, Katia Janaina Zanini, Marcus Vinicius Cianciaruso, João André Jarenkow, Cristiane Follmann Jurinitz, Martin Molz, Pedro Higuchi, Ana Carolina Da Silva, Sandra Cristina Müller

Research output: Contribution to journalArticlepeer-review

Abstract

Subtropical forests certainly contribute to terrestrial global carbon storage, but we have limited understanding about the relative amounts and of the drivers of above-ground biomass (AGB) variation in their region. Here we assess the spatial distribution and drivers of AGB in 119 sites across the South American subtropical forests. We applied a structural equation modelling approach to test the causal relationships between AGB and environmental (climate and soil), structural (proportion of large-sized trees) and community (functional and species diversity and composition) variables. The AGB on subtropical forests is on average 246 Mg ha−1. Biomass stocks were driven directly by temperature annual range and the proportion of large-sized trees, whilst soil texture, community mean leaf nitrogen content and functional diversity had no predictive power. Temperature annual range had a negative effect on AGB, indicating that communities under strong thermal amplitude across the year tend to accumulate less AGB. The positive effect of large-sized trees indicates that mature forests are playing a key role in the long-term persistence of carbon storage, as these large trees account for 64% of total biomass stored in these forests. Our study reinforces the importance of structurally complex subtropical forest remnants for maximising carbon storage, especially facing future climatic changes predicted for the region.
Original languageEnglish
Article number119126
Number of pages12
JournalForest Ecology and Management
Volume490
Early online date25 Mar 2021
DOIs
Publication statusPublished - 15 Jun 2021

Keywords

  • Brazilian Atlantic Forest
  • Carbon stocks
  • Climate change
  • Functional diversity
  • Functional traits
  • Soil texture
  • Structural equation model
  • Temperature annual range

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