Predictive models of forest dynamics

Research output: Contribution to journalShort surveypeer-review

228 Scopus citations

Abstract

Dynamic global vegetation models (DGVMs) have shown that forest dynamics could dramatically alter the response of the global climate system to increased atmospheric carbon dioxide over the next century. But there is little agreement between different DGVMs, making forest dynamics one of the greatest sources of uncertainty in predicting future climate. DGVM predictions could be strengthened by integrating the ecological realities of biodiversity and height-structured competition for light, facilitated by recent advances in the mathematics of forest modeling, ecological understanding of diverse forest communities, and the availability of forest inventory data.

Original languageEnglish (US)
Pages (from-to)1452-1453
Number of pages2
JournalScience
Volume320
Issue number5882
DOIs
StatePublished - Jun 13 2008

All Science Journal Classification (ASJC) codes

  • General

Fingerprint Dive into the research topics of 'Predictive models of forest dynamics'. Together they form a unique fingerprint.

Cite this