Repository logo
Log In(current)
  1. Home
  2. Prodotti della ricerca
  3. A. Contributo su rivista
  4. A1. Articolo in rivista
  5. On tree longevity

On tree longevity

Author(s)
Piovesan, Gianluca  
Biondi, Franco
Date Issued
2021
Type
article
Volume
231
Issue
4
Start Page
1318
End Page
1337
DOI
10.1111/nph.17148
Journal
NEW PHYTOLOGIST  
Abstract
Large, majestic trees are iconic symbols of great age in living organisms. Published evidence suggests that trees do not die because of genetically programmed senescence in their meristems, and rather are killed by an external agent or a disturbance event. Long tree lifespans are therefore allowed by specific combinations of life-history traits within realized niches that support resistance to, or avoidance of, extrinsic mortality. Another requirement for trees to achieve their maximum longevity is either sustained growth over extended periods of time or at least the capacity to increase their growth rates when conditions allow it. The growth plasticity and modularity of trees can then be viewed as an evolutionary advantage that allows them to survive and reproduce for centuries and millennia. As more and more scientific information is systematically collected on tree ages under various ecological settings, it becomes clear that tree longevity is a key trait for global syntheses of life history strategies, especially in connection with disturbance regimes and their possible future modifications. In addition, we challenge the long-held notion that shade-tolerant, late-successional species have longer lifespans than early-successional species by pointing out that tree species with extreme longevity do not fit this paradigm. Identifying extremely old trees is therefore the groundwork not only for protecting and/or restoring entire landscapes, but also to revisit and update classic ecological theories that shape our understanding of environmental change.
Handle
http://hdl.handle.net/2067/42255
File(s)
Thumbnail Image
Name

New Phytologist - 2020 - Piovesan - On tree longevity.pdf

Size

5.09 MB

Format

Adobe PDF

Checksum (MD5)

ac33d3d7b9ca6767b4a05bfd78b367c3

Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify