Inverse priority effects: The order and timing of removal of invasive species influence community reassembly
Data files
Oct 18, 2023 version files 19.05 KB
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dataset.zip
10.68 KB
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README.md
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Abstract
1. An ongoing restoration challenge is to recover native communities after the removal of invasive species. Because priority effects (i.e., the order and timing of species arrival) can strongly determine the trajectory of community assembly, their intentional manipulation is gaining attention to manage invasive plants and achieve restoration goals. Yet, ecologists and conservationists rarely consider how the order and timing of species removal inverse priority effect may impact future plant communities. 2. Here, we evaluated the dependence of community reassembly on inverse priority effects by experimentally removing the target invasives Sweetbriar rose (Rosa rubiginosa) and Scotch broom (Cytisus scoparius) in field and mesocosm communities. We manipulated removal order (rose-before-broom vs. broom-before-rose) and timing (simultaneously early vs. simultaneously late in the season). We performed a Hierarchical Modeling of Species Community to assess differences in community structure in response to order and timing of removal, and to evaluate whether species origin and leaf and seed traits were associated with species responses. 3. We found that the order of removal was as important as timing driving community reassembly. Simultaneous removal favoured nonnatives, more so when performed early. Sequential removals led to contrasting communities. Rose-before-broom removal also favoured nonnative grasses at expense of native species, whereas the inverse order produced small changes in communities. In general, species with high specific leaf area were boosted, regardless of their seed size. 4. Synthesis and applications. Inverse priority effects are neglected mechanisms that can drive variability in the reassembly of plant communities and can potentially upgrade invasive species management. These historical contingencies suggest the existence of an optimal order of removal that facilitates the recovery of the native community. We found that simultaneous removal promoted secondary invasions to a greater extent than sequential removals. Furthermore, removal order affected post-removal community structure. In our system, we suggest removing the rose before the broom to hinder nonnatives and pave the way for restoration of native communities. Our results show that manipulation of the order and timing of removal can help to achieve restoration goals.
Provenance for this README
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* File name: README_Dataset-InversePriorityEffects.txt * Authors:
Agostina Torres, Teresa Morán-Lopez, Mariano A. Rodriguez-Cabal, and
Martin A. Nuñez * Date created: 2023-10-16 * Date modified: 23-10-17
Dataset Attribution and Usage
-----------------------------
* Dataset Title: Data from: Inverse priority effects: The
order and timing of removal of invasive species influence community
reassembly
* Persistent Identifier: 10.5061/dryad.80gb5mkws
* Dataset creators: Agostina Torres, Teresa Morán-Lopez, Mariano A.
Rodriguez-Cabal, and Martin A. Nuñez
* Suggested Citations:
* Dataset citation: > Torres, A., Morán-Lopez, T., Rodríguez-Cabal,
M.A., and Nuñez, M.A. 2023. Data from: Inverse priority
effects: The order and timing of removal of invasive species influence
community reassembly. Dryad Digital Repository, https://doi.org/10.5061/dryad.80gb5mkws
* Corresponding publication: > Torres, A., Morán-Lopez, T.,
Rodríguez-Cabal, M.A., and Nuñez, M.A. 2023. Inverse priority effects:
The order and timing of removal of invasive species influence community
reassembly. Journal of Applied Ecology. Accepted.
Contact Information ——————-
* Name: Agostina Torres * Affiliations: Instituto de Investigaciones
en Biodiversidad y Medioambiente, CONICET, Universidad Nacional del
Comahue, Bariloche, Argentina. * ORCID ID:
https://orcid.org/0000-0001-9682-7296 * Email:
torresa@comahue-conicet.gob.ar * Address: e-mail preferred
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Dataset Metadata ===========================
Dates and Locations ——————-
* Dates of data collection: Field experiment conducted from February
2018 to January 2020. Mesocosm (greenhouse) experiment conducted from
January 2018 to January 2020.
* Geographic locations of data collection: Fieldwork conducted in Isla
Victoria (Parque Nacional Nahuel Hiapi). Mesocosm experiment conducted
in the greenhouse of the Universidad Nacional del Comahue in Bariloche
(Argentina). See publication for more details.
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Methodological Information ==========================
* Methods of data collection/generation: We estimated species cover
(field experiment) or biomass (mesocosm experimet) of nontarget
(nonremoved) species one/two years after removal of Cytisus scoparius
and Rosa rubiginosa in different order and timing, both in field and
mesocosm settings, respectively. See publication for more details on
experiments. * Data analysis: The response of nontarget species to
different removal histories was evaluated through Hierarchical Models of
Species Communities (HMSC). In field models, we also evaluated the
effect of origin, functional traits (SLA and seed mass) and phylogenetic
relationships on species responses to removals. In mesocosm models, we
only evaluated the effect of origin on species responses. See
publication for more details on models.
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Data and File Overview ======================
Summary Metrics —————
* Compressed file formats: .zip * File formats: .csv * Compressed
file count: 2 * Total .csv file count: 7 (4+3)
Naming Conventions ——————
* File naming scheme: - First part: denotes the type of experiment,
Field/Mesocosm. - Second part (for .csv):denotes the type of
variables/information provided in each file.
–> Parts in naming schemes are separated by ‘_’.
Table of Contents —————–
* Field.zip - Field_Treatments.csv - Field_Cover.csv -
Field_Traits.csv - Field_Phylogeny.csv
* Mesocosm.zip - Mesocosm_Treatments.csv - Mesocosm_Biomass.csv -
Mesocosm_Origin.csv
Setup —–
* Unpacking instructions: n/a
* Recommended software/tools: RStudio 2022.07.1; R version 4.1.1
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File/Folder Details ===================
Details for: Field_Treatments.csv
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* Description: a comma-delimited file containing the treatment applied
in each experimental plot in field experiment.
* Format(s): .csv
* Size(s): 1 KB
* Dimensions: 51 rows x 6 columns
* Variables: * plot_id: unique identification for each experimental
plot * columns 2-6: five unique identification code for removal
treatments: 1rm = early simultaneous removal of Cytisus scoparius and
Rosa rubiginosa 2rm = late simultaneous removal of Cytisus scoparius and
Rosa rubiginosa 1r2m = removal of Cytisus scoparius three months before
removal of Rosa rubiginosa 1m2r = removal of Rosa rubiginosa three
months before removal of Cytisus scoparius control = no removal
Details for: Field_Cover.csv
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* Description: a comma-delimited file containing the cover of each
nontarget species in each experimental plot in field experiment.
* Format(s): .csv
* Size(s): 6 KB
* Dimensions: 51 rows x 41 columns
* Variables: * plot_id: unique identification for each experimental
plot * Columns 2 to 41: the cover (%) of each nontarget species in the
format ‘Genus_species’
Details for: Field_Traits.csv
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* Description: a comma-delimited file containing the traits of each
nontarget species in field experiment.
* Format(s): .csv
* Size(s): 2 KB
* Dimensions: 42 rows x 4 columns
* Variables: * Species: each of the 41 nontarget species in the format
‘Genus_species’ * Seed_mass: nontarget species seed mass (mg). See
publication for trait data imputation * SLA: nontarget species specific
leaf area (mm2/mg). See publication for trait data imputation * Origin:
nontarget species origin (native / nonnative). See publication for trait
data imputation.
Details for: Field_Phylogeny.csv
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* Description: a comma-delimited file containing the phylogenetic
relationships between species in field experiment.
* Format(s): .csv
* Size(s): 26 KB
* Dimensions: 41 rows x 41 columns
* A symmetric matrix of n-species x n-species containing the
phylogenetic relationships. See publication for phylogeney imputation.
Details for: Mesocosm_Treatments.csv
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* Description: a comma-delimited file containing the treatment applied
in each experimental pot in mesocosm experiment.
* Format(s): .csv
* Size(s): 1 KB
* Dimensions: 66 rows x 6 columns
* Variables: * pot_id: unique identification for each experimental pot
* Columns 2-6: five unique identification code for removal treatments.
1rm = early simultaneous removal of Cytisus scoparius and Rosa
rubiginosa 2rm = late simultaneous removal of Cytisus scoparius and Rosa
rubiginosa 1r2m = removal of Cytisus scoparius one month before removal
of Rosa rubiginosa 1m2r = removal of Rosa rubiginosa one month before
removal of Cytisus scoparius control = random removal of nontarget
plants
Details for: Mesocosm_Biomass.csv
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* Description: a comma-delimited file containing the biomass of each
nontarget species in each experimental pot in mesocosm.
* Format(s): .csv
* Size(s): 3 KB
* Dimensions: 66 rows x 7 columns
* Variables: * pot_id: unique identification for each experimental pot
* Columns 2 to 7: the biomass (g) of each nontarget species in the
format ‘Genus’: - Cirsium = Cirsium vulgare - Cynoglossum =
Cynoglossum creticum - Festuca = Festuca arundinacea - Acaena = Acaena
splendens - Mutisia = Mutisia spinosa - Pappostipa = Pappostipa
speciosa
Details for: Mesocosm_Origin.csv
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* Description: a comma-delimited file containing the origin of each
nontarget species in mesocosm.
* Format(s): .csv
* Size(s): 1 KB
* Dimensions: 7 rows x 2 columns
* Variables: * species: the name of each nontarget species in the
format ‘Genus’: - Cirsium = Cirsium vulgare - Cynoglossum =
Cynoglossum creticum - Festuca = Festuca arundinacea - Acaena = Acaena
splendens - Mutisia = Mutisia spinosa - Pappostipa = Pappostipa
speciosa * origin: the origin of each species (native / nonnative)
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