10.5061/DRYAD.1P2K0
Fischer, Dylan G.
The Evergreen State College
Wimp, Gina M.
Georgetown University
Hersch-Green, Erika
Michigan Technological University
Bangert, Randy K.
Northern Arizona University
LeRoy, Carri J.
The Evergreen State College
Bailey, Joseph K.
University of Tennessee at Knoxville
Schweitzer, Jennifer A.
University of Tennessee at Knoxville
Dirks, Clarissa
The Evergreen State College
Hart, Stephen C.
Northern Arizona University
Allan, Gerard J.
Northern Arizona University
Whitham, Thomas G.
Northern Arizona University
Data from: Tree genetics strongly affect forest productivity, but
intraspecific diversity-productivity relationships do not
Dryad
dataset
2017
Genotype diversity
cottonwood
genes-to-ecosystems
biodiversity-ecosystem function
2017-08-09T00:00:00Z
2017-08-09T00:00:00Z
en
https://doi.org/10.1111/1365-2435.12733
60849 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Numerous studies have demonstrated biodiversity–productivity relationships
in plant communities, and analogous genetic diversity–productivity studies
using genotype mixtures of single species may show similar patterns.
Alternatively, competing individuals among genotypes within a species are
less likely to exhibit resource-use complementarity, even when they
exhibit large differences in their effects on ecosystem function. In this
study, we test the impact of genotype diversity and genetic identity on
ecosystem function using an ecosystem-scale common garden experiment.
Distinct tree genotypes were collected across the entire natural range of
the riparian tree Populus fremontii in the USA, and grown in 1–16 genotype
combination forest stands. Due to the warm climate and irrigation of the
planting location along the Colorado River (AZ, USA), mature forest
physiognomy with trees up to 19 m tall was achieved in just five years.
Several key patterns emerged: (i) genotype richness did not predict forest
productivity, suggesting a lack of net biodiversity effects; (ii) we found
differences among genotype monoculture stands comparable to differences in
average productivity across all forest biomes on Earth; (iii) productivity
was predicted based on genetic marker similarity in trees; (iv)
genetic-based differences in leaf phenology (early leaf-on and late
leaf-fall timing) were correlated with >80% of the variation in
tree and forest productivity irrespective of home-site conditions. Large
differences in productivity among genotypes can result in dramatic
differences in forest productivity without resulting in
diversity–productivity relationships that are present in species-scale
biodiversity studies.
Raw data for tree sizes, blocks, and treatments in the Cibola Tree
Genetics and Productivity ExperimentThis file contains the raw data for
the sizes of trees in the Cibola tree genotype diversity and productivity
experiment. Treatments and block locations are also
indicated.Cibola_2012_tree_data_raw.csvhomecibolaThis data file contains
data on the home sites where genotypes were collected for the Cibola tree
genotype diversity and productivity experiment. Tree leaf phenology data
is also included (higher scores reflect greater leaf-off times over the
course of a year).Cibola microsatellite marker dataThis file contains the
microsatellite marker data for the Cibola genotype diversity and
productivity experiment.Cibola.markerdata.csv