Description: This is the result of the Greater Chicago Natural Solutions Overall Stacked Priorities analysis. This result is designed to identify where green infrastructure can be expected to benefit multiple green infrastructure objectives from the Greater Chicago Natural Solutions Tool Project for Chicago. The Overall Stacked Priorities result were created using a equally weighted sum on the 6 goal results which included: Agriculture, Healthy, Equitable, Biodiverse, Protected, and Connected. Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team
Description: Existing farmland = Very High Priority, decreasing to areas that have never been farmland from 1991 on which are given a value of low priority. CMAP Northeast Illinois Land Inventories, 1991, 2000, 2010, 2020.
Description: Areas of open land or farmland that are not currently protected or core habitat areas but are nearby to recent development, major roads, or transit stops. Areas nearest to development/transport are higher priority (5), decreasing to areas furthest (0), with a range of 1 mile. CMAP Northeast Illinois Land Inventory 2020, USDA/USGS Cropland Data Layer, Northeastern Illinois Development Database (CMAP), IDOT Major Roads, Metra stops, CTA stops.
Description: Corridors identified by the Green Infrastructure Vision 2.3 (GIV) or Friends of the Chicago River Habitat Connectivity Action Plan are considered Very High priority. Specific layers included from GIV are Woodland/Forest Corridors [Woodland Forest Layer 7]; Prairie/Grassland Corridors [PSG Layer 7]; Wetland Corridors [Wetland Layer 8]. Chicago Metropolitan Agency for Planning. 2015. Green Infrastructure Vision 2.3. Retrieved: January 18, 2022.
Description: This analysis combines areas of vacant land identified by CMAP's 2018 Land Use Survey and combines them with a high-resolution (1 ft) of Chicago Region Land Cover developed by Lindsay Darling of the Morton Arboretum. It identifies areas of vacant land which are covered with tree canopy or other vegetation and represent potentially suitable habitat for wildlife. Chicago Region Land Cover, University of Vermont, the Morton Arboretum, the US Forest Service, Chicago Metropolitan Agency for Planning.
Description: Both of of the Increasing Biodiversity criteria were combined, equally weighted to create an Increasing Biodiversity Priority result. The priority areas in this layer represent areas important for implementing nature based soultions that benefit wildlife populations and natural habitat. Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team.
Description: Core patches identified in the Green Infrastructure Vision 2.3 (GIV) and natural areas identified by the Chicago Park District were Very High priorities. Specific layers included from GIV are Core Woodlands/Forest [Woodland/Forest Layer 4]; Core Prairies [PSG Layer 1]; Core Savannas [PSG Layer 2]; Core Wetlands [Wetland Layer 5]; Core Streams/Lakes [Streams/Lakes Layer 3]; Undeveloped Freshwater Systems [Streams/Lakes Layer 5]; Undeveloped Stream Buffer [Streams/Lakes Layer 2]. Chicago Metropolitan Agency for Planning. 2015. Green Infrastructure Vision 2.3. Retrieved: January 18, 2022.
Description: The Birds of Conservation Concern 2021 List (BCC 2021) identifies the migratory and non-migratory bird species (beyond those already designated as federally threatened or endangered) that represent our highest conservation priorities. This dataset additionally includes threatened or endangered birds and represents hotspots of suitable habitat and sightings of these birds in the Chicagoland area. It was developed by the Field Museum of Chicago. Field Museum of Chicago.
Description: Numbers of species that are protected by the Endangered Species Act and/or considered to be in danger of extinction. The data set is part of the Map of Biodiversity Importance (MoBI) data collection produced by NatureServe and available through ESRI's Living Atlas. Includes species in these groups: Vertebrates (birds, mammals, amphibians, reptiles, freshwater fishes), Freshwater invertebrates (mussels and crayfishes), Pollinators (bumblebees, butterflies, and skippers), and Vascular plants. NatureServe. Map of Biodiversity Importance - Richness of Imperiled Species in the United States. Retrieved: May 9, 2022.
Description: All three of the biodiverse criteria were equally weighted and combined to create a weighted Protecting Biodiversity Priority result. The weights applied to each of the above criteria in creating this combined priority layer are listed above in parentheses next to each criteria name. The priority areas in this layer represent areas important for implementing nature based soultions that benefit wildlife populations and natural habitat. Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team.
Description: All of the above Biodiverse criteria were weighted based on Technical Advisory Team Input and combined to create a weighted overall Biodiverse Stacked Priority result. The priority areas in this layer represent areas important for implementing nature based soultions that benefit wildlife populations and natural habitat. Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team.
Description: This model identifies areas where there are opportunities to enhance connectivity within the bikeway and trail network. Trails data from multiple sources was compiled. Planned/proposed trails are highlighted as priorities. Planned off-street paths are assigned Very High Priority and planned on-street routes are assigned High Priority. The above Connected criteria to "Fill gaps in Trail network" was determined by the Technical Advisory Team to be the only criteria necesary for determination of priorities for the Connected goal. This criteria was assigned 100% weight to create the Connected Stacked Priority result. The priority areas in this layer represent areas important for implementing nature based soultions that help connect people to destinations via trails. Chicago Metropolitan Agency for Planning; Cook County, Lake County and Will County. Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team.
Description: This model identifies socially vulnerable populations based on the percent of individuals within census tracts who list their racial status as a race other than white alone and/or list their ethnicity as Hispanic or Latino. United States Environmental Protection Agency. 2024. EJScreen. Retrieved: October 3, 2024.
Description: This model identifies socially vulnerable populations based on the percent of people in a census tract living in linguistically isolated households. A linguistically isolated household is a household in which all members age 14 years and over speak a language other than English and also speak English less than ""very well"" (have difficulty with English). United States Environmental Protection Agency. 2024. EJScreen. Retrieved: October 3, 2024.
Description: This model identifies socially vulnerable populations based on the percent of people age 25 and older in a census tract that do not have a high school diploma. United States Environmental Protection Agency. 2024. EJScreen. Retrieved: October 3, 2024.
Description: This model identifies socially vulnerable populations based on the percent of people in a census tract over the age of 64. United States Environmental Protection Agency. 2024. EJScreen. Retrieved: October 3, 2024.
Description: This model identifies socially vulnerable populations based on the percent of people in a census tract under the age of 5. United States Environmental Protection Agency. 2024. EJScreen. Retrieved: October 3, 2024.
Description: This model identifies socially vulnerable populations based on the unemployment rate of a census tract. United States Environmental Protection Agency. 2024. EJScreen. Retrieved: October 3, 2024.
Description: This model prioritizes census tracts based on the percentage of the population with a disability. United States Environmental Protection Agency. 2024. EJScreen. Retrieved: October 3, 2024.
Description: Disinvested areas are primarily nonresidential and exhibit characteristics of long-term market weakness, including employment loss, low rates of small business lending, and relatively low commercial real estate values. Market weakness can tip off related issues that affect communities like declines in property values, tax receipts, employment, and population. Disinvested areas are Very High priorities. Chicago Metropolitan Agency for Planning. 2024. Economically Disconnected Areas and Disinvested Areas, Version 2024. Retrieved: August 25, 2024.
Description: Estimates of U.S. life expectancy at birth by state and census tract for the period 2010-2015. Estimates were produced for 67,148 census tracts, covering all states and the District of Columbia (D.C.). These estimates are the result of the collaborative project, “U.S. Small-area Life Expectancy Estimates Project (USALEEP),” between the National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF). National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF).
Description: This model prioritizes census tracts based on the percentage of renter-occupied housing units suffering rent burden (>= 50% of income to rent). US Census Bureau. 2024. American Community Survey 2021-2024.
Description: All of the above Equitable criteria were weighted based on Technical Advisory Team Input and combined to create a weighted overall Equitable Stacked Priority result. The weights applied to each of the above criteria in creating this combined priority layer are listed above in parentheses next to each criteria name. The priority areas in this layer represent areas important for implementing nature based soultions that benefit vulnerable populations. Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team.
Description: This model identifies areas with higher temperatures in the Chicago planning area. Median temperature was calculated using Landsat 8 (Band 10) for the five years between 2017 and 2021 and for the months of June through September. Calculations were completed in the Google Earth Engine platform. Landsat 8, Band 10 courtsey of the US Geological Survey
Description: This model identified census tract priorities using model-based estimates for crude prevalence of diagnosed diabetes among adults aged >=18 years. Census tracts were broken into 0 to 5 priority classes using a natural break classification. Center for Disease Control and Prevention. PLACES: Local Data for Better Health, Census Tract Data 2024 release.
Description: This model identified census tract priorities using model-based estimates for crude prevalence of current asthma among adults aged >=18 years. Center for Disease Control and Prevention. PLACES: Local Data for Better Health, Census Tract Data 2024 release.
Description: This model identified census tract priorities using model-based estimates for crude prevalence of obesity among adults aged >=18 years. Center for Disease Control and Prevention. PLACES: Local Data for Better Health, Census Tract Data 2024 release.
Description: This model identified census tract priorities using model-based estimates for crude prevalence of chronic obstructive pulmonary disease among adults aged >=18 years. Center for Disease Control and Prevention. PLACES: Local Data for Better Health, Census Tract Data 2024 release.
Description: This model identified cenus tract priorities using model-based estimates for crude prevalence of stroke among adults aged >=18 years. Center for Disease Control and Prevention. PLACES: Local Data for Better Health, Census Tract Data 2024 release.
Description: This model identified census tract priorities using model-based estimates for crude prevalence of depression among adults aged >=18 years. Center for Disease Control and Prevention. PLACES: Local Data for Better Health, Census Tract Data 2024 release.
Description: This model identified census tract priorities using model-based estimates for crude prevalence of coronary heart disease among adults aged >=18 years. Center for Disease Control and Prevention. PLACES: Local Data for Better Health, Census Tract Data 2024 release.
Description: This model identified census tract priorities using model-based estimates for crude prevalence of mental health not good for >=14 days among adults aged >=18 years. Center for Disease Control and Prevention. PLACES: Local Data for Better Health, Census Tract Data 2024 release.
Description: This model prioritizes census tracts based on particulate matter 2.5 concentrations (PM2.5 levels in air, µg/m3 annual avg.) as described by the CEJST (Climate and Economic Justice Screening Tool).
Description: This model prioritizes census tracts based on ozone concentrations (summer seasonal avg. of daily maximum 8-hour concentration in air in parts per billion) contained in EJScreen data. United States Environmental Protection Agency. 2021. EJScreen. Retrieved: April 6, 2022.
Description: This model prioritizes census tracts based on diesel particulate matter (diesel particulate matter level in air, µg/m3) contained in EJScreen data. United States Environmental Protection Agency. 2021. EJScreen. Retrieved: April 6, 2022.
Description: This model identified model-based estimates for crude prevalence of physical health not good for >=14 days of the last 30 days among adults aged >=18 years, 2019. Center for Disease Control and Prevention. PLACES: Local Data for Better Health, Census Tract Data 2024 release.
Description: All of the above Healthy criteria were weighted based on Technical Advisory Team Input and combined to create a weighted overall Healthy Stacked Priority result. The weights applied to each of the above criteria in creating this combined priority layer are listed above in parentheses next to each criteria name. The priority areas in this layer represent areas important for implementing nature based soultions to help benefit community health. Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team.
Description: The larger Protected goal was broken into two sub-goals to represent the the two major ways in which natural solution interventions can benefit hydrological resilience. Those are to restore areas to better 'Absorb' stormwater to reduce runoff and the second to 'Protect' natural lands that are already taking in that stormwater. The sub-goal priority results for both 'Absorb' and 'Protect' were combined to create the large 'Protected Stacked Priority' goal result. The priority areas in this layer represent areas important for implementing nature based solutions that promote conservation of natural lands and restoration of developed lands to maintain and improve their capacity to absorb stormwater thru natural processes.Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team.
Description: This model assigns Very High priority (5) to special flood hazards areas subject to inundation by the 1-percent-annual-chance flood event with additional hazards due to storm-induced velocity wave action; High priority to special flood hazard areas subject to inundation by the 1-percent-annual-chance flood event; and Moderate priority to areas not identified as special flood hazard areas that subject to inundation by the 1-percent-annual-chance flood event with and without additional hazards due to storm-induced velocity wave action. Federal Emergency Management Agency. 2022. National Flood Hazard Layer, Version 1.1.1.0. Washington, D.C. Retrieved: July 17, 2022.
Description: Wetlands are critical natural infrastructure for mitigating and minimizing flood damage. Wetlands store precipitation and surface water and then slowly release the water into associated surface water resources, ground water, and the atmosphere. This model assigns High priority to areas within 90 m of all existing wetlands. High priority is also assigned to areas within Lake Michigan's Watershed. Very High priority is assigned to areas meeting both criteria. National Wetlands Inventory (accessed 2024), CMAP.
Description: Land cover (including forests and grasslands) on open space offer protection to hydrological services (e.g., by filtering pollutants). This model assigned a High priority to open space categories (Open Space, Primarily Conservation; Non-public Open Space) found in Chicago Metropolitan Agency for Planning's most recent Parcel-Based Land Use Inventory. Agriculture was given Very High priority. Chicago Metropolitan Agency for Planning. 2020. Land Use Inventory for Northeast Illinois, 2020. Retrieved: June 15, 2022.
Description: The larger Protected goal was broken into two sub-goals to represent the the two major ways in which natural solution interventions can benefit hydrological resilience. Those are to restore areas to better 'Absorb' stormwater to reduce runoff and the second to 'Protect' natural lands that are already taking in that stormwater. All of the above criteria were weighted based on Technical Advisory Team Input and combined to create a weighted 'Protect Stacked Priority' sub-goal result. The weights applied to each of the above criteria in creating this combined priority layer are listed above in parentheses next to each criteria name. The priority areas in this layer represent areas important for implementing nature based solutions that promote conservation of natural lands to maintain and improve their capacity to absorb stormwater thru natural processes. Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team.
Description: This model identifies areas where high flow accumulation and ponding is anticipated in urban areas, especially if storm sewer is at capacity. Flow accumulation is from a Topograpic Wetness Index created and shared by the Chicago Metropolitan Area for Planning. Federal Emergency Management Agency. 2022. National Flood Hazard Layer, Version 1.1.1.0. Washington, D.C. Retrieved: July 17, 2022.
Description: This model identifies areas that occur within a combined sewer service areas, locations that are more susceptible to flooding given the combination of sanitary and storm sewers. The data were supplied by the Chicago Metropolitan Agency for Planning which produced the data with data assistance from the Metropolitan Water Reclamation District and various communities. Areas within combined sewer services areas were assigned a Very High priority score.
Description: This model identifies areas where there is high potential for runoff in urban areas and estimates runoff volume for a 2.64" (10-year, 2-hour) storm event using the Natural Resources Conservation Service's Curve Number methodology, which considers soil and land use characteristics. Chicago Metropolitan Agency for Planning, Natural Resouces Conservation Service SSURGO Database.
Description: This model identifies areas with different levels of impervious surface cover which contributes to urban and riverine flooding. The percent impervious surface cover within 30-m pixels was determined using Meter-Scale Urban Land Cover (2013) data. US EPA. 2017. EnviroAtlas -- Chicago, IL -- Meter-Scale Urban Land Cover (MULC) Data (2013). Retrieved June 15, 2022.
Description: This model identifies areas that occur within a combined sewer service areas, locations that are more susceptible to flooding given the combination of sanitary and storm sewers. The data were supplied by the Chicago Metropolitan Agency for Planning which produced the data with data assistance from the Metropolitan Water Reclamation District and various communities. Areas within combined sewer services areas were assigned a Very High priority score.
Description: This model identifies areas with different levels of impervious surface cover which contributes to urban and riverine flooding. The percent impervious surface cover within 30-m pixels was determined using Meter-Scale Urban Land Cover (2013) data. US EPA. 2017. EnviroAtlas -- Chicago, IL -- Meter-Scale Urban Land Cover (MULC) Data (2013). Retrieved June 15, 2022.
Description: This model identifies areas with different levels of impervious surface cover which contributes to urban and riverine flooding. The percent impervious surface cover within 30-m pixels was determined using Meter-Scale Urban Land Cover (2013) data. US EPA. 2017. EnviroAtlas -- Chicago, IL -- Meter-Scale Urban Land Cover (MULC) Data (2013). Retrieved June 15, 2022.
Description: The larger Protected goal was broken into two sub-goals to represent the the two major ways in which natural solution interventions can benefit hydrological resilience. Those are to restore areas to better 'Absorb' stormwater to reduce runoff and the second to 'Protect' natural lands that are already taking in that stormwater. Because of the nature of the data, the 'Absorb' sub-goal was also further broken down into two sub-regions, 'urban' areas and 'riverine' areas where the source data was used to identify priorities specific to those sub-regions. All of the above sub-region criteria for 'Urban Area' and 'Riverine Area' were weighted based on Technical Advisory Team Input and combined to create a weighted 'Urban Area' and 'Riverine Area' stacked result, which was then merged together to create the 'Absorb Stacked Priorities' combined sub-goal result. The weights applied to each of the above criteria in creating this combined priority layer are listed above in parentheses next to each criteria name. The priority areas in this layer represent areas important for implementing nature based solutions that promote restoration of lands to improve their capacity to absorb stormwater thru natural processes. Trust for Public Land + Greater Chicago Natural Solutions Tool Technical Advisory Team.