Biodiversity and productivity in eastern US forests

Author:

Liu Yunpeng12,Hogan J. Aaron3ORCID,Lichstein Jeremy W.3,Guralnick Robert P.245ORCID,Soltis Douglas E.2345ORCID,Soltis Pamela S.245ORCID,Scheiner Samuel M.6ORCID

Affiliation:

1. Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory of Earth Surface Processes of Ministry of Education, Peking University, Beijing 100871, China

2. Florida Museum of Natural History, University of Florida, Gainesville, FL 32611

3. Department of Biology, University of Florida, Gainesville, FL 32611

4. Genetics Institute, University of Florida, Gainesville, FL 32610

5. Biodiversity Institute, University of Florida, Gainesville, FL 32611

6. Division of Environmental Biology, NSF, Alexandria, VA 22314

Abstract

Despite experimental and observational studies demonstrating that biodiversity enhances primary productivity, the best metric for predicting productivity at broad geographic extents—functional trait diversity, phylogenetic diversity, or species richness—remains unknown. Using >1.8 million tree measurements from across eastern US forests, we quantified relationships among functional trait diversity, phylogenetic diversity, species richness, and productivity. Surprisingly, functional trait and phylogenetic diversity explained little variation in productivity that could not be explained by tree species richness. This result was consistent across the entire eastern United States, within ecoprovinces, and within data subsets that controlled for biomass or stand age. Metrics of functional trait and phylogenetic diversity that were independent of species richness were negatively correlated with productivity. This last result suggests that processes that determine species sorting and packing are likely important for the relationships between productivity and biodiversity. This result also demonstrates the potential confusion that can arise when interdependencies among different diversity metrics are ignored. Our findings show the value of species richness as a predictive tool and highlight gaps in knowledge about linkages between functional diversity and ecosystem functioning.

Funder

Postdoctoral International Exchange Program, China

USDA Forest Service

NSF

Publisher

Proceedings of the National Academy of Sciences

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