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Forecasting species range dynamics with process-explicit models - Data files

Data from publication:

Briscoe, N., Elith, J., Salguero-Gomez, R, Lahoz-Monfort, J., Camac, J., Giljohann, K., Holden, M., Hradsky, B., Kearney, M, McMahon, S., Phillips, B., Regan, T., Rhodes, J., Vesk, P., Wintle, B., Yen, J., Guillera-Arroita, G. (Accepted). Forecasting species range dynamics with process-explicit models: matching methods to applications, Ecology Letters

Primary contact: Natalie Briscoe (nbriscoe@unimelb.edu.au)

Files included in data package: Process_explicit_range_dynamics_review.csv Population_replication_COMADRE_and_COMPADRE.csv

DATA INFORMATION
File 1: Process_explicit_range_dynamics_review.csv

Description: Data from review of how process-explicit models have been used in ecology and biodiversity management including study taxa and research focus (summarized in Fig. 3). See Appendix SA1 of manuscript for details of methods and further explanations/definitions.

Variables:
Paper = Paper information (citation)
Model.class = Model class for which assessed (one of: Occupancy dynamics, Individual based model (IBM), Coupled SDM-population, Eco-physiological, Demographic distribution, Abundance dynamics)
Plants = were plant species modelled (0=No, 1=Yes)
Birds = were bird species modelled (0=No, 1=Yes)
Mammals = were mammal species modelled (0=No, 1=Yes)
Fish = were fish species modelled (0=No, 1=Yes)
Reptile.Amphibian = were reptile or amphibian species modelled (0=No, 1=Yes)
Inverts = were invertebrate species modelled (0=No, 1=Yes)
Other = were other species modelled (0=No, 1=Yes)
Virtual = were virtual species modelled (0=No, 1=Yes)
Method.Development = Did the research focus on demonstrating or refining new method (0= No, 1 = Yes)
Climate.change.Weather = Did the research aim to look at effect of changes in weather/climate (0= No, 1 = Yes)
Landscape.Dynamics = Did the research aim to look at effect of changes in land-use/landscape dynamics (0= No, 1 = Yes)
Extinction.Risk = Did the research focus on conservation - predicting extinction risk (0= No, 1 = Yes)
Key.Habitat = Did the research focus on conservation - identifying key habitat (0= No, 1 = Yes)
Potential.Range.Invasives = Did the research focus on invasive species - potential range (0= No, 1 = Yes)
Spread.Invasives = Did the research focus on invasive species - spread (0= No, 1 = Yes)
Eval.Outputs.New.Data = Were model outputs quantitatively evaluated against new data (i.e. data not used fitting the model?) (0= No, 1 = Yes)

File2: Population_replication_COMADRE_and_COMPADRE.csv

Description: Data Availability of demographic data (the number of replicate populations per study) in two global demographic databases COMPADRE_v.5.0.0 (plants; Salguero-Gómez et al. 2015) and COMADRE_v.3.0.0 (animals; Salguero-Gómez et al. 2016).

Both Comadre and Compadre databases are fully open access and available from www.compadre-db.com.
The digitisation protocol (available at wwww.compadre-db.org/Data) provides further information on how data were collected.

Data provided in this file were used to plot the number of population replicates per study across time (Fig. 5).

Variables:
Year = Year of study (recorded in Compadre/Comadre under'YearPublication')
No.Populations = No. of replicate populations of the species included in the study (recorded in Compadre/Comadre under 'NumberPopulations'). This is the number of populations identified by the author of the study. *Several studies that report high population replication (>40) were excluded because they report within-site replication rather than different populations.
Species = study species (recorded in Compadre/Comadre under 'SpeciesAccepted') *note that humans were excluded
Authors = authors of study (recorded in Compadre/Comadre under 'Authors')
Journal = journal (recorded in Compadre/Comadre under 'Journal', may also be a book, thesis or report)
YearPub = publication year (recorded in Compadre/Comadre as 'YearPublication')
Database = COMPADRE (plants) or COMADRE (animals)

Funding

ARC Centre of Excellence for Environmental Decisions

Australian Research Council

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Practical utility of new classes of species distribution models

Australian Research Council

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British Ecological Society Quantitative Ecology Special Interest Group

NERC IRF (R/142195-11-1)

Connections between imperfect detection and ecological inference

Australian Research Council

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NESP Threatened Species Recovery Hub

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