Data for: Predicting berry plant habitat under climate change in Bristol Bay, AK

Aim: Climate change is altering suitable habitat distributions of many species in high latitudes. Fleshy fruit-producing plants (hereafter "berry plants"), important in arctic food webs and as subsistence resources for human communities, may be impacted, but their response to a warming and...

Full description

Bibliographic Details
Main Authors: Hamilton, Casey, Smithwick, Erica, Spellman, Katie, Baltensperger, Andrew, Spellman, Blaine, Chi, Guangqing
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7761295
_version_ 1821843921591861248
author Hamilton, Casey
Smithwick, Erica
Spellman, Katie
Baltensperger, Andrew
Spellman, Blaine
Chi, Guangqing
author_facet Hamilton, Casey
Smithwick, Erica
Spellman, Katie
Baltensperger, Andrew
Spellman, Blaine
Chi, Guangqing
author_sort Hamilton, Casey
collection Zenodo
description Aim: Climate change is altering suitable habitat distributions of many species in high latitudes. Fleshy fruit-producing plants (hereafter "berry plants"), important in arctic food webs and as subsistence resources for human communities, may be impacted, but their response to a warming and increasingly variable climate at a landscape scale has not yet been examined. Here, we identified influential environmental determinants of berry plant distribution and produced predictions on how climate change might shift these distributions. Location: Bristol Bay and Togiak NRCS Survey Areas, Alaska. Methods: We built species distribution models using the Random Forests algorithm to identify key characteristics and predict the spatial distribution of habitats suitable for five berry plant species: Vaccinium uliginosum L., Empetrum nigrum L., Rubus chamaemorus L., Vaccinium vitis-idaea L., and Viburnum edule (Michx.) Raf. Then, we used future climate projections (2081-2100; representative concentration pathways 4.5, 6.0, & 8.5) to predict shifts in species' suitable habitat distributions based on future climate conditions. Results: The predicted amount and spatial patterns of suitable habitat for the current time period were variable among species, consistent with species' diverse life history attributes and habitat preferences. Future climate models predicted both positive and negative changes to suitable habitat probability for all species; future binary classification maps predicted net declines in suitable habitat area for all species and climate scenarios tested. Models identified elevation, soil characteristics, and January and July temperatures as important drivers of suitable habitat distributions. Main conclusions: Our work contributes to understanding the response of important berry plant species to climate change at a landscape scale. Shifting and retracting distributions may alter where communities have access to harvesting areas, suggesting that access to these resources may become restricted in the future. ...
format Other/Unknown Material
genre Arctic
Climate change
Empetrum nigrum
Rubus chamaemorus
Alaska
genre_facet Arctic
Climate change
Empetrum nigrum
Rubus chamaemorus
Alaska
geographic Arctic
geographic_facet Arctic
id ftzenodo:oai:zenodo.org:7761295
institution Open Polar
language unknown
op_collection_id ftzenodo
op_doi https://doi.org/10.5281/zenodo.776129510.5061/dryad.7wm37pvxz10.5281/zenodo.7761294
op_relation https://doi.org/10.5061/dryad.7wm37pvxz
https://zenodo.org/communities/dryad
https://doi.org/10.5281/zenodo.7761294
https://doi.org/10.5281/zenodo.7761295
oai:zenodo.org:7761295
op_rights info:eu-repo/semantics/openAccess
MIT License
https://opensource.org/licenses/MIT
publishDate 2023
publisher Zenodo
record_format openpolar
spelling ftzenodo:oai:zenodo.org:7761295 2025-01-16T20:48:54+00:00 Data for: Predicting berry plant habitat under climate change in Bristol Bay, AK Hamilton, Casey Smithwick, Erica Spellman, Katie Baltensperger, Andrew Spellman, Blaine Chi, Guangqing 2023-04-20 https://doi.org/10.5281/zenodo.7761295 unknown Zenodo https://doi.org/10.5061/dryad.7wm37pvxz https://zenodo.org/communities/dryad https://doi.org/10.5281/zenodo.7761294 https://doi.org/10.5281/zenodo.7761295 oai:zenodo.org:7761295 info:eu-repo/semantics/openAccess MIT License https://opensource.org/licenses/MIT Berries Boreal Climate Change Empetrum nigrum habitat suitability Random Forests Rubus chamaemorus Vaccinium uliginosum Vaccinium vitis-idaea Viburnum edule info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.776129510.5061/dryad.7wm37pvxz10.5281/zenodo.7761294 2024-07-25T17:09:15Z Aim: Climate change is altering suitable habitat distributions of many species in high latitudes. Fleshy fruit-producing plants (hereafter "berry plants"), important in arctic food webs and as subsistence resources for human communities, may be impacted, but their response to a warming and increasingly variable climate at a landscape scale has not yet been examined. Here, we identified influential environmental determinants of berry plant distribution and produced predictions on how climate change might shift these distributions. Location: Bristol Bay and Togiak NRCS Survey Areas, Alaska. Methods: We built species distribution models using the Random Forests algorithm to identify key characteristics and predict the spatial distribution of habitats suitable for five berry plant species: Vaccinium uliginosum L., Empetrum nigrum L., Rubus chamaemorus L., Vaccinium vitis-idaea L., and Viburnum edule (Michx.) Raf. Then, we used future climate projections (2081-2100; representative concentration pathways 4.5, 6.0, & 8.5) to predict shifts in species' suitable habitat distributions based on future climate conditions. Results: The predicted amount and spatial patterns of suitable habitat for the current time period were variable among species, consistent with species' diverse life history attributes and habitat preferences. Future climate models predicted both positive and negative changes to suitable habitat probability for all species; future binary classification maps predicted net declines in suitable habitat area for all species and climate scenarios tested. Models identified elevation, soil characteristics, and January and July temperatures as important drivers of suitable habitat distributions. Main conclusions: Our work contributes to understanding the response of important berry plant species to climate change at a landscape scale. Shifting and retracting distributions may alter where communities have access to harvesting areas, suggesting that access to these resources may become restricted in the future. ... Other/Unknown Material Arctic Climate change Empetrum nigrum Rubus chamaemorus Alaska Zenodo Arctic
spellingShingle Berries
Boreal
Climate Change
Empetrum nigrum
habitat suitability
Random Forests
Rubus chamaemorus
Vaccinium uliginosum
Vaccinium vitis-idaea
Viburnum edule
Hamilton, Casey
Smithwick, Erica
Spellman, Katie
Baltensperger, Andrew
Spellman, Blaine
Chi, Guangqing
Data for: Predicting berry plant habitat under climate change in Bristol Bay, AK
title Data for: Predicting berry plant habitat under climate change in Bristol Bay, AK
title_full Data for: Predicting berry plant habitat under climate change in Bristol Bay, AK
title_fullStr Data for: Predicting berry plant habitat under climate change in Bristol Bay, AK
title_full_unstemmed Data for: Predicting berry plant habitat under climate change in Bristol Bay, AK
title_short Data for: Predicting berry plant habitat under climate change in Bristol Bay, AK
title_sort data for: predicting berry plant habitat under climate change in bristol bay, ak
topic Berries
Boreal
Climate Change
Empetrum nigrum
habitat suitability
Random Forests
Rubus chamaemorus
Vaccinium uliginosum
Vaccinium vitis-idaea
Viburnum edule
topic_facet Berries
Boreal
Climate Change
Empetrum nigrum
habitat suitability
Random Forests
Rubus chamaemorus
Vaccinium uliginosum
Vaccinium vitis-idaea
Viburnum edule
url https://doi.org/10.5281/zenodo.7761295