Predicted impacts of climate change on wild and commercial berry habitats will have food security, conservation and agricultural implications
Data files
Nov 11, 2025 version files 4.77 GB
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macrocarpon.zip
2.64 GB
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oxycoccos.zip
688.97 MB
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R-code-climatechangeberries.R
14.85 KB
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README.md
4.06 KB
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uliginosum.zip
688.24 MB
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vitis-idaea.zip
761.40 MB
Abstract
Climate change is now a reality and is altering ecosystems, with Canada experiencing 2-4x the global average rate of warming. This will have a critical impact on berry cultivation and horticulture as well as wild, traditional and country food species. Enhancing our understanding of how wild and cultivated berries will be essential to mitigating impacts on ecosystems, culture and food security. Our objective was to predict the impact of climate change on habitat suitability of four berry producing Vaccinium species: two species with primarily northern distributions (V. uliginosum, V. vitis-idaea) and one species with a primarily southern distribution (V. oxycoccos) and the commercially cultivated V. macrocarpon. We used the maximum entropy (maxent) model and the CMIP6 shared socioeconomic pathways (SSPs) 126 and 585 projected to 2041-2060 and 2061-2080. Wild species showed a uniform northward progression and expansion of suitable habitat. Our modeling predicts that suitable growing regions for commercial cranberries is also likely to shift with some farms becoming unsuitable for the current varieties and other regions becoming more suitable for cranberry farms. Both V. macrocarpon and V. oxycoccos showed a high dependence on precipitation associated variables. V. vitis-idaea and V. uliginosum had a greater number of variables with smaller contributions which may improve their resilience to individual climactic events. Future competition between commercial cranberry farms and wild berries in protected areas could lead to conflicts between agriculture and conservation priorities. New varieties of commercial berries are required to maintain current commercial berry farms.
Dataset DOI: 10.5061/dryad.mw6m905zf
Description of the data and file structure
Our objective was to predict the impact of climate change on habitat suitability of four berry producing Vaccinium species: two species with primarily northern distributions (V. uliginosum, V. vitis-idaea) and one species with a primarily southern distribution (V. oxycoccos) and the commercially cultivated V. macrocarpon. We used the maximum entropy (maxent) model and the CMIP6 shared socioeconomic pathways (SSPs) 126 and 585 projected to 2041-2060 and 2061-2080.
Files and variables
File: R-code-climatechangeberries.R
Description: The R script used to generate these models is provided in R-code-climatechangeberries.R
File: macrocarpon.zip
Description: Directory for Vaccinium macrocarpon contains a .tif file of a predicted current range suitability and four subdirectories with .tif files for the outputs of maxent ecological niche modelling:
- mean: averaged suitability for each scenario for CNRM, MIROC and MRI
- change: difference between mean raster and current range prediction
- stdev: standard deviation of the averaged suitability between each of the scenarios CNRM, MIROC and MRI
- suitability-allscenarios_allmodels: individual rasters for each model run
File: oxycoccos.zip
Description: Directory for Vaccinium oxycoccos contains a .tif file of a predicted current range suitability and four subdirectories with .tif files for the outputs of maxent ecological niche modelling:
- mean: averaged suitability for each scenario for CNRM, MIROC and MRI
- change: difference between mean raster and current range prediction
- stdev: standard deviation of the averaged suitability between each of the scenarios CNRM, MIROC and MRI
- suitability-allscenarios_allmodels: individual rasters for each model run
File: uliginosum.zip
Description: Directory for Vaccinium uliginosum contains a .tif file of a predicted current range suitability and four subdirectories with .tif files for the outputs of maxent ecological niche modelling:
- mean: averaged suitability for each scenario for CNRM, MIROC and MRI
- change: difference between mean raster and current range prediction
- stdev: standard deviation of the averaged suitability between each of the scenarios CNRM, MIROC and MRI
- suitability-allscenarios_allmodels: individual rasters for each model run
File: vitis-idaea.zip
Description: Directory for Vaccinium vitis-idaea contains a .tif file of a predicted current range suitability and four subdirectories with .tif files for the outputs of maxent ecological niche modelling:
- mean: averaged suitability for each scenario for CNRM, MIROC and MRI
- change: difference between mean raster and current range prediction
- stdev: standard deviation of the averaged suitability between each of the scenarios CNRM, MIROC and MRI
- suitability-allscenarios_allmodels: individual rasters for each model run
Data is organized into 4 directories (.zip files) grouped and named by species (Vaccinium): macrocarpon, oxycoccos, uliginosum and vitis-idaea
File naming conventions utilize the following abbreviations by species:
VI - Vaccinium vitis-idaea
VO - Vaccinium oxycoccos
VU - Vaccinium uliginosum
VM - Vaccinium macrocarpon
Shared socioeconomic pathway (SSP) modelled and year to which the prediction extends is appended to the name as follows:
126-60 - SSP1-2.6 projected to 2060
126-80 - SSP1-2.6 projected to 2080
585-60 - SSP5-8.5 projected to 2060
585-80 - SSP5-8.5 projected to 2080
Code/software
The R script used to generate these models is provided in R-code-climatechangeberries.R
TIF files were generated in QGIS (version 3.16.14 long-term release, QGIS.org, 2021)
R Code was generated in R version 4.4.1 (2024-06-14) -- "Race for Your Life"
- Hirabayashi, Kaede; Murch, Susan J.; Erland, Lauren A.E. (2022). Predicted impacts of climate change on wild and commercial berry habitats will have food security, conservation and agricultural implications. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2022.157341
