Demographic trade-offs predict tropical forest dynamics

Nadja Rüger, Richard Condit, Daisy H. Dent, Saara J. DeWalt, Stephen P. Hubbell, Jeremy W. Lichstein, Omar R. Lopez, Christian Wirth, Caroline E. Farrior

Research output: Contribution to journalArticlepeer-review

93 Scopus citations

Abstract

Understanding tropical forest dynamics and planning for their sustainable management require efficient, yet accurate, predictions of the joint dynamics of hundreds of tree species. With increasing information on tropical tree life histories, our predictive understanding is no longer limited by species data but by the ability of existing models to make use of it. Using a demographic forest model, we show that the basal area and compositional changes during forest succession in a neotropical forest can be accurately predicted by representing tropical tree diversity (hundreds of species) with only five functional groups spanning two essential trade-offs-the growth-survival and stature-recruitment trade-offs. This data-driven modeling framework substantially improves our ability to predict consequences of anthropogenic impacts on tropical forests.

Original languageEnglish (US)
Pages (from-to)165-168
Number of pages4
JournalScience
Volume368
Issue number6487
DOIs
StatePublished - Apr 10 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 The Authors.

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