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Mapping Connections across Ecosystems in the Northeast to Inform Climate Refugia

Original Title: Ecosystem-based Regional Connectivity to Inform Climate Refugia Networks
Principal Investigator
William DeLuca

Dates

Start Date
2021-10-01
End Date
2024-09-30
Release Date
2021

Summary

As the climate continues to change, vulnerable wildlife species will need specific management strategies to help them adapt to these changes. One specific management strategy is based on the idea that some locations that species inhabit today will remain suitable over time and should be protected. The climate conditions at those locations will continue to be good enough for species to survive and breed successfully and are referred to as climate refugia. Another management strategy is based on the idea that species will need to shift across the landscape to track suitable conditions and reach climate refugia locations as climate and land uses change over time. The more opportunities we can give species to safely move across the [...]

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Project Extension

projectStatusIn Progress

Map

Spatial Services

ScienceBase WMS

Communities

  • National and Regional Climate Adaptation Science Centers
  • Northeast CASC

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Provenance

Additional Information

Data Management Plan Extension

customSoftware
descriptionFor the modeling work we will develop and update existing APL and R code to: Objective 1 (ecosystem refugia): delineate cores, build conductance and connectors among the cores, construct graph (network) representations of the connections among cores, score cores based on the graph; Objective 2 (ecosystem-specific regional connectivity): to map connectivity; and Objective 3: to combine connectivity with development probability into and index of vulnerability. The Web Tool will be built using geoserver, Leaflet, and Shiny.
sourcehttps://bitbucket.org/eplunkett/lcad contains existing R code for the DSL project. Model code created for this project will be added there. The Web Tool source code will be posted in https://github.com/UMassDSL/WebTools and be mirrored in the USGS GitHub repository.
webToolMaintenanceAndSupportCore web functionality will be built using Leaflet and Shiny. These are well-supported open-source libraries, which we expect to have a long shelf-life. While commercial hosting of the proposed website represents a viable fallback, we have begun exploring options for long-term hosting at UMass, where server maintenance and security will be handled by UMass Information Technology. The primary data sources used for this project have been developed in our lab, so we can update them as needed. When we apply for future funding for work that updates or creates new data to be used in the portal, we expect to include the cost of migrating data in those specific proposals.
languagesModels: R and APL. Web Tool: JavaScript, R, leaflet (JavaScript), Shiny (R extension), and geoserver.
restrictionsModel code will be made available under a public license but it is highly dependent on a large associated GIS database and will not be easy to run independent of our cluster. Web Tool code will be made available under a public license and should be more portable.
environmentModels: Windows. Web Tool: Linux.
nameCustom code for project
dataProduct
metadataFGDC
exclusiveUseNo exclusive use.
descriptionConductance represents the connections among 2080 refugia cores and the lost 2020 conservation cores. Conductance will be a continuous raster indicating how important each cell in the landscape is to connecting a pair of cores. There will be one of each for each of the target ecosystems (minimum 2).
repositoryData will be available for download from https://umassdsl.org and on ScienceBase.
dataLifespan5-10 years
qualityChecksNo formal validation. We will visually inspect output for completeness and consistency.
citationhttp://umassdsl.org
formatConductance: GeoTiff
restrictionsNone
backupAndStorageWe will store the data on a 38 TB RAID backed up weekly.
dataManagementResources10% of project.
volumeEstimate7 GB per system - at least 14 GB total.
dataProcessingWe will use random low cost paths implemented in APL to map conductance.
nameConductance among 2020 cores
metadataFGDC
exclusiveUseNo exclusive use.
descriptionA raster dataset where each cell’s value is its conductance with higher values indicating greater contribution to connectivity for that group of ecological systems across multiple scales and lower values indicating lower contributions and or contribution only to local conductivity.
repositoryData will be available for download from https://umassdsl.org and on ScienceBase.
dataLifespan5-10 years
qualityChecksNo formal validation. We will visually inspect output for completeness and consistency.
citationhttp://umassdsl.org
formatGeoTiff
restrictionsNone
backupAndStorageWe will store the data on a 38 TB RAID backed up weekly.
dataManagementResources60 % of project.
volumeEstimate7 GB per group - at least 28 GB total.
dataProcessingWe will create a regular grid of points, shift the points slightly to local maxima in IEI, use random low cost paths to assess pairwise connectivity with nearby points, and then assemble the result into a graph representing all the points in the region. We will use graph based centrality metrics to assign regional connectivity scores to each edge in the graph. Finally, we will generate random low cost paths between each pair of points (a second time) and weight them by the edge connectivity score before writing to a raster file.
nameRegional Conductance
metadataFGDC
exclusiveUseNo exclusive use.
descriptionThe vulnerability grids will highlight areas in which connectivity (for a group of ecosystems) will be highest for areas that have high regional conductivity and high probability of development.
repositoryData will be available for download from https://umassdsl.org and on ScienceBase.
dataLifespan5-10 years
qualityChecksNo formal validation. We will visually inspect output for completeness and consistency.
citationhttp://umassdsl.org
formatGeoTiff
restrictionsNone
backupAndStorageWe will store the data on a 38 TB RAID backed up weekly.
dataManagementResources10 % of project.
volumeEstimate7 GB per group - at least 28 GB total.
dataProcessingVulnerability will be generated by multiplying regional conductance by the probability of development, and (perhaps) rescaling. Higher values will represent areas where both input are high - areas of high regional conductivity that are vulnerable to development.
nameVulnerability
metadataFGDC
exclusiveUseNo exclusive use.
descriptionConductance represent the connections among 2080 refugia cores. Conductance will be a continuous raster indicating how important each cell in the landscape is to connecting a pair of cores. There will be one of each of the target ecosystems (minimum 2).
repositoryData will be available for download from https://umassdsl.org and on ScienceBase.
dataLifespan5 - 10 years.
qualityChecksNo formal validation. We will visually inspect output for completeness and consistency.
citationhttp://umassdsl.org
formatConductance: GeoTiff
restrictionsNone
backupAndStorageWe will store the data on a 38 TB RAID backed up weekly.
dataManagementResources10% of project.
volumeEstimate7 GB per system - at least 14 GB total.
dataProcessingWe will use random low cost paths implemented in APL to map conductance.
nameConductance among 2080 refugia cores
metadataFGDC
exclusiveUseNo exclusive use.
descriptionThe cores represent delineated areas of high 2020 Index of Ecological Integrity (IEI) and or Ecosystem Refugia and surrounding buffers for the target system. They will be be classified as "refugia", "lost" or "new" depending on whether the core is present in 2020 and 2080, 2020 only, or 2080 only. These will generated as a 30 m raster covering the 13 state Northeast Region but then will be converted and distributed as a vector polygon shapefile. There will be one for each of the target ecosystems (minimum 2).
repositoryData will be available for download from https://umassdsl.org and on ScienceBase.
dataLifespan5-10 years
qualityChecksNo formal validation. We will visually inspect output for completeness and consistency.
citationhttp://umassdsl.org
formatPolygon ESRI shapefile
restrictionsNone
backupAndStorageWe will store the data on a 38 TB RAID backed up weekly.
dataManagementResources5% of project.
volumeEstimateMinimal (10 MB ? )
dataProcessingThese will be created with a resistant kernel spreading out from areas of high value such that there is greater spread (and larger cores) where the value remains higher.
nameEcosystem Cores
existingInput
feesNone
descriptionLandcover derived from multiple sources including: The Nature Conservancy's Northeast Habitat Classification map, Open Street Map roads, Microsoft Building footprints, National Hydrologic Dataset, National Land Cover Dataset, and National Wetlands Inventory. See full documentation https://umassdsl.org/DSLdocs/DSL_documentation_DSLland.pdf
sourceDesigning Sustainable Landscapes: https://landeco.umass.edu/web/lcc/dsl/ancillary/DSL_data_DSLland.zip
qualityChecksThis data has not been formally validated.
citationhttps://umassdsl.org/DSLdocs/DSL_documentation_DSLland.pdf
formatGeotiff (raster GIS file)
restrictionsThere are no restrictions on this data
backupAndStorageWe will store the data on a 38 TB RAID backed up weekly.
volumeEstimate7 GB
dataProcessingWe will use this as our base map and map of ecological systems.
name2020 DSL Land
feesNone
descriptionThis data is a continuous probability of development for each cell in the Northeast Region. It is one output of the DSL SPRAWL model.
sourcehttps://umassdsl.org/data/landscape-conservation-design/
qualityChecksThis dataset has been verified using a hindcasting approach see:McGarigal K; Plunkett EB; Willey LL; Compton BW; DeLuca WV; Grand J. 2018. Modeling non-stationary urban growth: the SPRAWL model and the ecological impacts of development. Landscape and Urban Planning 177:178-190. https://doi.org/10.1016/j.landurbplan.2018.04.018
citationMcGarigal K; Plunkett EB; Willey LL; Compton BW; DeLuca WV; Grand J. 2018. Modeling non-stationary urban growth: the SPRAWL model and the ecological impacts of development. Landscape and Urban Planning 177:178-190.
formatGeotiff (raster GIS file)
restrictionsNone
backupAndStorageWe will store the data on a 38 TB RAID backed up weekly.
volumeEstimate7 GB
dataProcessingWe will use this in combination with the modelled connectivity to map areas of high connectivity that are also threatned by development.
nameProbability of Development
history2023-03-17 10:53:02 MDT: phase Approved DMP 2023-03-17 09:09:37 MDT: phase Approved DMP 2023-03-17 06:39:27 MDT: phase Approved DMP 2023-03-16 14:27:20 MDT: phase Approved DMP 2023-03-16 14:10:55 MDT: phase Approved DMP 2023-03-16 13:13:20 MDT: phase Approved DMP 2023-03-16 10:19:19 MDT: phase Approved DMP 2023-03-16 10:09:47 MDT: phase Approved DMP 2022-01-04 14:59:03 MST: phase Approved DMP 2022-01-04 12:00:07 MST: phase Submitted DMP 2021-12-17 09:31:46 MST: phase Submitted DMP
phaseApproved DMP
templateNameCASC DMP v4

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