Data for: Range reshuffling: climate change, invasive species, and the case of Nothofagus forests in Aotearoa New Zealand
Data files
Sep 07, 2023 version files 4.09 MB
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data_combined_Nothofagus_cliffortioides.csv
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data_combined_Nothofagus_fusca.csv
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data_combined_Nothofagus_menziesii.csv
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data_combined_Nothofagus_solandri.csv
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data_combined_Nothofagus_truncata.csv
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data_target_background_Nothofagus.rds
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README.md
Sep 07, 2023 version files 4.09 MB
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data_combined_Nothofagus_cliffortioides.csv
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data_combined_Nothofagus_fusca.csv
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data_combined_Nothofagus_menziesii.csv
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data_combined_Nothofagus_solandri.csv
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data_combined_Nothofagus_truncata.csv
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data_target_background_Nothofagus.rds
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README.md
Abstract
Aim:
The impact of climate change on forest biodiversity and ecosystem services will be partly determined by the relative fortunes of invasive and native forest trees under future conditions. Aotearoa New Zealand has high conservation value native forests and one of the world’s worst invasive tree problems. We assess the relative effects of habitat redistribution on native Nothofagus and invasive conifer (Pinaceae) species in New Zealand as a case study on the compounding impacts of climate change and tree invasions.
Location:
Aotearoa New Zealand
Methods:
We use species distribution models (SDMs) to predict the current and future distribution of habitat for five native Nothofagus species and 13 invasive conifer species under two 2070 climate scenarios. We calculate habitat loss/gain for all species and examine overlap between the invasive and native species now and in the future.
Results:
Most species will lose habitat overall. The native species saw large changes in the distribution of habitat with extensive losses in North Island and gains mostly in South Island. Concerningly, we found that most new habitat for Nothofagus was also suitable for at least one invasive species. However, there were refugia for the native species in the wetter parts of the climate space.
Main conclusion:
If the predicted changes in habitat distribution translate to shifts in forest distribution it would cause widespread ecological disruption. We discuss how acclimation, adaptation and biotic interactions may delay some changes. But we also highlight how the poor migration and establishment capacity of native Nothofagus and the competitive ability of invasive conifers will be a persistent conservation challenge in areas of both new habitat and forest retreat. Pinaceae are problematic invaders globally, and our results highlight that control of invasions and active native forest restoration will likely be key to managing forest biodiversity under future climates.
README: Data for "Range reshuffling: climate change, invasive species, and the case of Nothofagus forests in Aotearoa New Zealand"
The following files are included:
"Range reshuffling R code.R"
The R code used to clean the data, conduct the analysis, and make the figures
Further details are provided within
"data_combined_Nothofagus_xxx.csv"
Five files each containing raw occurrence records (prior to cleaning) of the five Nothofagus species that originated from the New Zealand Indigenous Carbon Monitoring System (LUCAS) and our own field work. Nothofagus records from the Atlas of Living Australia (ALA) that were also used are available via DOIs listed at the end of this document.
Column headings:
- decimalLatitude = Latitude in decimal degrees
- decimalLongitude = Longitude in decimal degrees
- species = the species
- dataOrigin = whether records were from the New Zealand Indigenous Carbon Monitoring System (LUCAS), or our own records (OwnRecords; see manuscript)
"data_target_background_Nothofagus.rds"
The target background points of woody New Zealand plants used in the Nothofagus species distribution models (SDMs)
Column headings:
- decimalLatitude = Latitude in decimal degrees
- decimalLongitude = Longitude in decimal degrees
- scientifficName = species name
"suitability_current_xxx.tif"
Raster layers (Behrmann equal-area projection at 1km2 resolution) for each of the 18 species showing the predicted probability of occurrence under current climate conditions.
For the figures in the manuscript cells with probability values below the binary threshold value (calculated separately for each species; see manuscript) were masked
"suitability_ssp126_combined_xxx.tif"
Raster layers (Behrmann equal-area projection at 1km2 resolution) for each of the 18 species showing the predicted probability of occurrence under future 2070 climate conditions according to emissions scenario SSP126.
These rasters are the consensus of the predictions from the three Global Circulation Models (GCMs; see manuscript)
"suitability_ssp585_combined_xxx.tif"
Raster layers (Behrmann equal-area projection at 1km2 resolution) for each of the 18 species showing the predicted probability of occurrence under future 2070 climate conditions according to emissions scenario SSP585.
These rasters are the consensus of the predictions from the three Global Circulation Models (GCMs; see manuscript)
"ODMAP_MathiasEtAl_2023-06-30"
ODMAP protocol providing details of the methods (following https://odmap.wsl.ch/)
Occurrence records for Nothofagus species from the Atlas of Living Australia (ALA) can be accessed using the following DOIs:
- Nothofagus cliffortioides: https://doi.ala.org.au/doi/7b7f9252-c2b8-4c85-9673-338e5e92621c
- Nothofagus menziesii: https://doi.ala.org.au/doi/f81a799e-a9e0-424b-9a8e-c0e23489a8e1
- Nothofagus solandri: https://doi.ala.org.au/doi/7352a927-621e-4bdb-8f2b-988940a9a2f2
- Nothofagus fusca: https://doi.ala.org.au/doi/2a456509-5169-4c2d-b609-561986dcabdd
- Nothofagus truncata: https://doi.ala.org.au/doi/6c009594-7830-4e59-bedd-b2caeabafe2d
Occurrence records of the 13 conifer species and the target background points used in the conifer SDMs were downloaded from GBIF, and can be accessed using the following DOIs:
- Larix decidua https://doi.org/10.15468/dl.uekeuj
- Pinus contorta https://doi.org/10.15468/dl.pb9nyy
- Pinus monticola https://doi.org/10.15468/dl.xvqnth
- Pinus mugo https://doi.org/10.15468/dl.7gem9e
- Pinus muricata https://doi.org/10.15468/dl.3y7qpj
- Pinus nigra https://doi.org/10.15468/dl.76hnbs
- Pinus patula https://doi.org/10.15468/dl.5fj35y
- Pinus pinaster https://doi.org/10.15468/dl.v7s6pg
- Pinus ponderosa https://doi.org/10.15468/dl.3yv7cj
- Pinus radiata https://doi.org/10.15468/dl.wase7q
- Pinus sylvestris https://doi.org/10.15468/dl.pt9jsg
- Pinus uncinata https://doi.org/10.15468/dl.qk96d5
- Pseudotsuga menziesii https://doi.org/10.15468/dl.8h73g9
- All Pinales https://doi.org/10.15468/dl.nka47f
Methods
Some data were drawn from the New Zealand Natural Forest plot data collected between January 2002 and 2022 by the LUCAS programme for the New Zealand Ministry for the Environment. Other data orignated from our own field work (van Galen et. al. (2023) Molecular Ecology 32, 2092– 2109). The remaining data used in the manuscript were downloaded from the Atlas of Living Australia (ALA) and the Global Biodiversity Information Facility (GBIF); due to licensing requirements these data are available via DOIs provided in the manuscript and README file.
Usage notes
R (open source) is required for running the code and opening .rds files. Other files are .csv and .tiff.