Data Package Metadata   View Summary

Simulated future vertebrate habitat in the Greater Yellowstone Ecosystem

General Information
Data Package:
Local Identifier:edi.593.1
Title:Simulated future vertebrate habitat in the Greater Yellowstone Ecosystem
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Aim

Biodiversity conservation relies in part on enduring habitat in protected areas. In fire-prone ecosystems, shifts in species’ ranges will result both from changes in climate and fire-catalyzed vegetation change, which could lead to niche contraction and undermine protected-area efficacy. We explored these dynamics for three forest species with varied niches representative of other taxa and different hypothesized responses to fire-regime change (Black-backed Woodpecker, Picoides arcticus; North American marten, Martes spp.; red squirrel, Tamiasciurus hudsonicus). We asked: How do the extent and spatial pattern of these species’ distributions change during the 21st century based on the independent and joint effects of climate and vegetation?

Location

Greater Yellowstone Ecosystem (Wyoming, USA).

Methods

For each species, we developed separate distribution models based on climate and forest attributes, projected under four climate-fire scenarios (a 2x2 design with moderate and high temperature and precipitation change). A spatially explicit forest landscape model calibrated for Greater Yellowstone was used to project fire and forest dynamics through 2100, and climate suitability was estimated with Maxent.

Results

Suitable habitat for all three species based on climate or vegetation alone frequently did not overlap on the landscape, and habitat patches became simpler in shape and farther apart. Climatically suitable habitat for the Black-backed Woodpecker increased in all scenarios, and suitable forest structure expanded by a factor of 30 in dry scenarios with more fire. Climatically suitable habitat for martens declined with warming and drying; the area of suitable vegetation fell >80% with fire-driven losses of mature forest. Red squirrel habitat was maintained in all scenarios, but was sensitive to aridity, and patches were redistributed and compacted.

Main conclusions

Projections based on climate alone may misrepresent future species distributions, especially where disturbances accelerate vegetation change. Our results identify important consequences of fire-regime change for wildlife in forests dominated by obligate-seeder or fire-sensitive conifers.

Publication Date:2021-12-15
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2010
End:
2070

People and Organizations
Contact:Hoecker, Tyler J (Northwest Climate Adaptaton Science Center, Postdoctoral Fellow) [  email ]
Creator:Hoecker, Tyler J (University of Wisconsin-Madison, Research Assistant)

Data Entities
Data Table Name:
all_landscapes_combined_habitat_results
Description:
Simulated future habitat for three vertebrates under four future climate scenarios
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/593/1/cf207fd432444329d92e2a9540f8df39
Name:all_landscapes_combined_habitat_results
Description:Simulated future habitat for three vertebrates under four future climate scenarios
Number of Records:4788
Number of Columns:13

Table Structure
Object Name:all_landscapes_combined_habitat_results.csv
Size:317657 byte
Authentication:378b4624373a646e40011be3e9614697 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 simulationdecadecombined_medcombined_lowcombined_highhabitatclimate_medclimate_lowclimate_highspecieslandscapegcmrcp
Column Name:simulation  
decade  
combined_med  
combined_low  
combined_high  
habitat  
climate_med  
climate_low  
climate_high  
species  
landscape  
gcm  
rcp  
Definition:Model simulation number, of 20Simulated time periodMedian habitat area, climate and vegetation jointlyLower confidence interval of habitat area, climate and vegetation jointlyUpper confidence interval of habitat area, climate and vegetation jointlySuitable habitat, vegetation onlyMedian habitat area, climate onlyLower confidence interval of habitat area, climate onlyUpper confidence interval of habitat area, climate onlySpecies identity abbrevationSimulated landscape nameGeneral Circulation Model used in simulationRepresentative Concentration Pathway from IPCC AR5
Storage Type:float  
string  
float  
float  
float  
float  
float  
float  
float  
string  
string  
string  
string  
Measurement Type:rationominalratioratioratioratioratioratiorationominalnominalnominalnominal
Measurement Values Domain:
Unitsimulation
Typeinteger
Min1.0 
Max20.0 
DefinitionSimulated time period
Unithectare
Typeinteger
Unithectare
Typeinteger
Unithectare
Typeinteger
Unithectare
Typeinteger
Unithectare
Typeinteger
Unithectare
Typeinteger
Unithectare
Typeinteger
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codebbwo
DefinitionPicoides arcticus
Source
Code Definition
Codemart
DefinitionMartes caurina
Source
Code Definition
Codetahu
DefinitionTamiasciurus hudsonicus
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codegrte
DefinitionLandscape within Grand Teton National Park
Source
Code Definition
Codenynp
DefinitionLandscape in northern section of Yellowstone National Park
Source
Code Definition
Codesgye
DefinitionGrey's River area in southern Greater Yellowstone Ecosystem
Source
Code Definition
Codesynp
DefinitionLandscape in southern section of Yellowstone National Park
Source
Code Definition
Codewynp
DefinitionLandscape in western section of Yellowstone National Park
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codecanesm2
DefinitionCanadian Earth System Model CanESM2
Source
Code Definition
Codehadgem2es
DefinitionHadley Centre Global Environment Model version 2
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code45
DefinitionRCP 8.5
Source
Code Definition
Code85
DefinitionRCP 8.5
Source
Missing Value Code:                          
Accuracy Report:                          
Accuracy Assessment:                          
Coverage:                          
Methods:                          

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabularybiodiversity, climate change, forests
(No thesaurus)protected areas, habitat, species distribution model, fire

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Simulation of future forest conditions

Description:

Simulation of climatic suitability using Maxent algorithm

Description:

Analysis of jointly suitable habitat area

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@environmentaldatainitiative.org
Web Address:
https://environmentaldatainitiative.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Tyler J Hoecker
Organization:University of Wisconsin-Madison
Position:Research Assistant
Address:
430 Lincoln Dr,
Madison, WI 53706 USA
Email Address:
hoecker@uw.edu
Id:https://orcid.org/0000-0001-8680-8809
Contacts:
Individual: Tyler J Hoecker
Organization:Northwest Climate Adaptaton Science Center
Position:Postdoctoral Fellow
Address:
32 Campus Dr.,
Missoula, MT 59812
Email Address:
hoecker@uw.edu
Id:https://orcid.org/0000-0001-8680-8809

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2010
End:
2070
Geographic Region:
Description:Greater Yellowstone Ecosystem
Bounding Coordinates:
Northern:  45.24801Southern:  42.83754
Western:  -111.1102Eastern:  -110.1216
Taxonomic Range:
Classification:
Rank Name:Species
Rank Value:Picoides arcticus
Taxonomic Range:
Classification:
Rank Name:Subspecies
Rank Value:Martes caurina
Taxonomic Range:
Classification:
Rank Name:Species
Rank Value:Tamiasciurus hudsonicus

Project

Parent Project Information:

Title:What makes for a resilient landscape? Climate, fire and forests in the Northern Rockies
Personnel:
Individual: Monica G Turner
Organization:University of Wisconsin-Madison
Email Address:
turnermg@wisc.edu
Id:https://orcid.org/0000-0003-1903-2822
Role:Primary Investigator
Abstract:

Resilient landscapes are a fundamental goal of the National Cohesive Wildland Fire Management Strategy, yet defining, measuring and managing for resilience remain major challenges. Ecological resilience theory is well developed, but how to operationalize resilience in actual landscapes is unclear, especially in a no-analog future. Fire and forest managers would benefit from knowing how to measure resilience; where, when and why resilience may be lost; and what management options can promote resilience. We propose to quantify ecological and social dimensions of resilience for Northern Rocky Mountain forests and to develop innovative scientific methods for operationalizing forest and landscape resilience concepts. Guided by participatory workshops with stakeholders, we will determine how 21st-century climate and fire regimes are likely to alter the resilience of Northern Rocky Mountain forests and identify management options likely to promote landscape resilience under a range of possible futures. First, we will engage fire, fuels and resource managers and stakeholders at a "Dimensions of Resilience" workshop to identify social and ecological dimensions of resilience, i.e., the multiple characteristics they want to sustain throughout the 21st century, and management options to explore given changing climate and fire regimes. Informed by this stakeholder input, we will then combine state-of-the-art projections of future climate and fire with extensive data on post-fire forest dynamics to model alternative future scenarios and evaluate ecological and social dimensions of resilience through the 21st century at three spatial scales. (i) Stand: How and why might warming climate and changing fire regimes push forest stands over a tipping point? Fire is the dominant disturbance shaping Northern Rockies forests, and post-fire tree regeneration is fundamental to stand-level resilience. We will evaluate mechanisms behind tipping points in a range of future climate-fire scenarios, using the empirically based Forest Vegetation Simulator (Climate-FVS) and a next-generation process-based model (iLand) that can respond dynamically to novel conditions. (ii) Landscape: Where and when might projected changes in climate and fire activity interact with management to enhance or erode landscape resilience? Abrupt transitions at the stand level may scale up and erode landscape resilience, or they may smooth out over larger areas as forest dynamics respond to changing conditions. We will simulate an array of representative Northern Rockies landscapes (areas of wildland-urban interface, production forestry, and wilderness) and potential management options using the spatially explicit implementation of iLand. (iii) Region: How do stand and landscape indicators of resilience scale to the Northern Rockies ecoregion, and what geographical areas are most likely to be vulnerable or resilient to changing climate and fire regimes? We will develop innovative statistical approaches to extrapolate stand- and landscape-level results and assess regional resilience. Probabilistic maps of the resilience indicators generated with stakeholders will be produced to identify geographic areas at risk for crossing tipping points under alternative scenarios. Finally, informed by model and scenario results, we will re-convene with stakeholders at a "Learning about Resilient Futures" workshop to jointly interpret effects of changing climate, fire and management on dimensions of landscape resilience articulated at the first workshop and to specify outreach products. Goals include understanding conditions and management options that promote resilient landscapes and elucidating synergies and tradeoffs among multiple dimensions of resilience. This project will directly benefit fire and forest managers by making resilience concepts useful for managing landscapes during times of profound environmental change.

Maintenance

Maintenance:
Description:

This dataset is static and not maintained.

Frequency:notPlanned
Other Metadata

Additional Metadata

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Additional Metadata

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