10.5061/DRYAD.2175Q
Zirbel, Chad R.
Michigan State University
Basset, Tyler
Department of Plant Biology
Grman, Emily
Eastern Michigan University
Michigan State University
Brudvig, Lars A.
Michigan State University
Bassett, Tyler
Michigan State University
Data from: Plant functional traits and environmental conditions shape
community assembly and ecosystem functioning during restoration
Dryad
dataset
2017
Cyperus lupulinus
Monarda fistulosa
Trifolium arvense
Carex blanda
Parthenocissus quinquefolia
Vitis
Senna hebecarpa
Symphyotrichum puniceum
Rubus allegheniensis
Elymus repens
Potentilla argentea
Achillea millefolium
biodiversity-ecosystem function
Pycnanthemum virginianum
Helianthus giganteus
Pyrus calleryana
Juncus tenuis
Hypochaeris radicata
Desmodium obtusum
Rubus occidentalis
Coreopsis lanceolata
Lupinus perennis
response-effect trait framework
trait-based assembly
Saponaria officinalis
Berteroa incana
Celastrus orbiculatus
Ulmus pumila
Desmodium paniculatum
Toxicodendron radicans
Desmodium ciliare
Cirsium arvense
Eryngium yuccifolium
Zizia aptera
Zizia aurea
Arnoglossum atriplicifolium
Hypericum punctatum
Silphium perfoliatum
Lespedeza virginica
Daucus carota
Echinacea purpurea
Geum canadense
Rhamnus cathartica
Poa compressa
Rudbeckia triloba
Symphyotrichum laeve
Aquilegia canadensis
Sorghastrum nutans
Vernonia
Erigeron
Carex bicknellii
Echinacea pallida
Fallopia convolvulus
Trifolium pratense
Verbena hastata
Fraxinus
Rhus
Symphyotrichum novae angliae
Solidago rigida
Asclepias verticillata
Oenothera biennis
Taraxacum officinale
Rumex crispus
Onoclea sensibilis
Solanum carolinense
Agastache nepetoides
Lactuca canadensis
Helianthus mollis
structural equation modeling
Tradescantia ohiensis
Pseudognaphalium obtusifolium
Barbarea vulgaris
Rumex acetosella
Carex swanii
Asclepias tuberosa
Panicum virgatum
Baptisia lactea
Apocynum cannabinum
Coreopsis palmata
Chenopodium album
Dalea purpurea
Agastache scrophulariifolia
Chamaecrista fasciculata
Penstemon digitalis
Elymus virginicus
Poa pratensis
Cerastium
Melilotus
Dactylis glomerata
Elaeagnus umbellata
Elymus canadensis
Urtica dioica
community weighted means
Botrychium
Dianthus armeria
Tridens flavus
Euphorbia corollata
Allium vineale
Oxalis
Ratibida pinnata
Solidago canadensis
Agrostis gigantea
Medicago lupulina
Morus alba
Solidago juncea
Verbena stricta
Acalypha virginica
Ambrosia psilostachya
Rubus flagellaris
Ecological restoration
Agrostis hyemalis
Bromus inermis
Rosa multiflora
Potentilla simplex
Viola
Sassafras albidum
Cichorium intybus
Triodanis perfoliata
Carex normalis
Veronicastrum virginicum
Centaurea stoebe
Carex sparganioides
Silphium integrifolium
Muhlenbergia frondosa
Rudbeckia hirta
Heliopsis helianthoides
Lobelia inflata
Helianthus strumosus
Euthamia graminifolia
Silene latifolia
Alliaria petiolata
Hypericum perforatum
Symphyotrichum lateriflorum
Conyza canadensis
Plantago lanceolata
Phleum pratense
Setaria
Persicaria
Solidago speciosa
Symphyotrichum oolentangiense
Agrimonia parviflora
Silphium laciniatum
Symphyotrichum pilosum
Verbascum thapsus
Desmodium canadense
Thalictrum dasycarpum
Fragaria virginiana
Carex annectens
Carex bebbii
Equisetum
Hypericum ascyron
Ambrosia artemisiifolia
Ludwigia alternifolia
Potentilla recta
Anemone virginiana
Coreopsis tripteris
Dichanthelium clandestinum
Cyperus strigosus
Dichanthelium sphaerocarpon
Parthenium integrifolium
Arctium minus
Schizachyrium scoparium
Digitaria cognata
Hieracium
Lycopus
Lespedeza capitata
Galium pilosum
Asclepias syriaca
Bouteloua curtipendula
2017-03-07T21:18:22Z
2017-03-07T21:18:22Z
en
https://doi.org/10.1111/1365-2664.12885
233552 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Recovering biological diversity and ecosystem functioning are primary
objectives of ecological restoration, yet these outcomes are often
unpredictable. Assessments based on functional traits may help with
interpreting variability in both community composition and ecosystem
functioning because of their mechanistic and generalizable nature. This
promise remains poorly realized, however, because tests linking
environmental conditions, functional traits, and ecosystem functioning in
restoration are rare. Here, we provide such a test through what is to our
knowledge the first empirical application of the ‘response–effect trait
framework’ to restoration. This framework provides a trait-based bridge
between community assembly and ecosystem functioning by describing how
species respond to environmental conditions based on traits and how the
traits of species affect ecosystem functioning. Our study took place
across 29 prairies restored from former agricultural fields in
southwestern Michigan. We considered how environmental conditions affect
ecosystem functioning through and independently of measured functional
traits. To do so, we paired field-collected trait data with data on plant
community composition and measures of ecosystem functioning and used
structural equation modelling to determine relationships between
environmental conditions, community-weighted means of functional traits
and ecosystem functioning. Environmental conditions were predictive of
trait composition. Sites restored directly from tillage (as opposed to
those allowed to fallow) supported taller species with larger seeds and
higher specific leaf area (SLA). Site age and fire frequency were both
negatively related to SLA. We also found a positive relationship between
soil moisture and SLA. Both trait composition and environmental conditions
predicted ecosystem functioning, but these relationships varied among the
measured functions. Pollination mode (animal pollination) increased and
fire frequency decreased floral resource availability, seed mass had a
negative effect on below-ground biomass production, and vegetative height
increased decomposition rate. Soil moisture and fire frequency both
increased while site age decreased above-ground biomass production, and
site age and soil moisture both increased decomposition rate. Synthesis
and applications. Our results suggest that both trait composition and
environmental conditions play a role in shaping ecosystem function during
restoration, and the importance of each is dependent on the function of
interest. Because of this, environmental heterogeneity will be necessary
to promote multiple ecosystem functions across restored landscapes. A
trait-based approach to restoration can aid interpretation of variable
outcomes through insights into community assembly and ecosystem
functioning.
ecosystem_function_Zirbel_2017_dryadThis file contains ecosystem function
data from plots within each of 29 restored prairie sites in Southwestern
Michigan. Each site contains 10 1x1m sampling plots. Each function was
collected at the plot level during the 2013 growing
season.plant_community_Zirbel_2017_dryadThis file contains plant community
composition data from plots within each of 29 restored prairie sites in
Southwestern Michigan. Each site contains 10 1x1m vegetation sampling
plots spaced evenly along a 45m transect, at the approximate site center.
Values denote percent cover of each plant species found in each of the
1x1m plots. Sampling occurred from August 13th to the 21st in 2013. Cover
in each plot can sum to greater than 1 if individuals were overlapping.
Cover does not need to sum to 1 due to the presence of bare ground (not
included in this dataset).site_environmental_Zirbel_2017_dryadThis file
contains environmental variables collected at each restoration site. Data
in this file are largely the same as reported in: Grman, E., Bassett, T.,
and Brudvig, L.A. 2014. A prairie plant community data set for addressing
questions in community assembly and restoration. Ecology 95:2363.
http://dx.doi.org/10.1890/14-0888.1trait_data_field_Zirbel_2017_dryadContinuous plant functional traits that were collected from within the restored prairie sites. Across all species, traits were collected at many restoration sites, but each species’ traits are only collected at a single site. Trait values for plant height and SLA are measured on an individual. Seed mass values are averaged from at least 50 seeds from 5 individuals or pulled from the Kew Seed information database (SID). Missing trait data are represented with NA.trait_data_literature_Zirbel_2017_dryadCategorical functional traits that were collected from the literature. Sources include (Kew SID, USDA Plants, Illinois Plant Information Network, Flora of North America).tax_phylo_names_Zirbel_2017_dryadUsed to calculate phylogenetic diversity for each site. List of species names found at the 29 restored prairie sites in this study (taxonomy according to Voss & Reznicek 2012) and corresponding species names in the Zanne et al. 2014 tree.phylogeny_Zirbel_2017_dryadPhylogeny of all species that occur in the plant_community.csv dataset. This file was generated using Phylomatic. Format is newick and uses the Zanne et al., 2014 tree.Rscript_Zirbel_2017_dryadThis R script contains all of code required to perform the analyses in the above manuscript. All analyses were done using R v. 3.3.0. All packages used for this analysis are listed in the script and Zirbel et al. 2017.Readme_Zirbel_2017_dryad
United States
Southwestern Michigan