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This set of 4 rasters shows precipitation as snow (mm) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were converted...
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This dataset was developed as part of the research for a Royal Roads University master's thesis entitled "Assessing the impact of human activities on British Columbia’s estuaries". The work was also published through PLOS One (Robb, 2014). The estuary polygons were created by the Pacific Estuary Conservation Program (PECP). Please see Ryder et al., 2007 for more information on their creation. This dataset includes a subset of the PECP estuary dataset because only those estuary polygons that could be linked to to a unique watershed were considered in the analysis. The attributes for each estuary polygon show the spatial coverage of different human activities within the bounds of the estuary and its upstream watershed....
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This set of 4 rasters shows winter (Dec to Feb) mean temperature (deg C * 10) for Western North America under the A1B Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published...
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This layer shows the results for initial analyses of the ' Connectivity' potential Conservation Target for the Freshwater Forested Wetlands Priority Resource (PR). Three datasets were used in this exploration of Connectivity: CLIP 4.0 Greenways, CLIP 4.0 Landscape Integrity, and the Local Connectedness layer, one of the core datasets in the Nature Conservancy's Resiliency Project. Each dataset provides a slightly different aspect of Connectivity. Each one of the potential data layers was masked using the PR raster to result in a spatial data layer of values within Freshwater Forested Wetlands. Further information on these analyses can be found in the Freshwater Forested Wetlands Initial Investigation of Conservation...
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This layer represents the combined Priority Resources of the PFLCC and FWC and the Aggregated Priorities layer of CLIP 4.0. Included the combined layer is the 10 terrestrial Priority Resources (Non-marine) and the 6 Priority Levels (labelled 0 through 5 (lowest (0) to highest Priority (5) and Outside Prioritized Model (l -1) -- for a Total Possible Combinations of 70 (Total actual are 69). Each Priority Resource comprises 6-7 rows in the Attribute Table -- one row for each combination of Priority Resource and CLIP Priority.
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Our objective was to develop a species-distribution model using habitat associations that represent probability of suitable habitat for the species historical range and the range under climate change scenarios including a hot/dry prediction (MIROC3.2) and a cool/wet prediction (ECHAM5) and 1-m and 2-m sea level rise scenarios; urban growth was also inlcuded. Future model predictions were based on extrapolated data for two time steps in the 21st century: mid (2046-2064) and late (2081-2100). Species distributions were modeled with Maxent (Maximum Entropy presence-only algorithm); climate change scenarios were based on precipitation and temperature changes as applied to stream conditions (e.g., flow) modeled with...
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This map represents a potential Conservation Target (CT) for PFLCC's 'Hardwood Forested Uplands' (HFU) Priority Resource (PR). The potential CT is Landscape Configuration. This layer was created for an initial investigation of potential CT's suggested at brainstorming workshops. The initial investigation entails locating available datasets to address the suggested CT as closely as possible and performing minimal analyses to determine their usefulness. The final set of CT's and their associated datasets will be chosen after targets (e.g., endpoints) are established as a threshold for achieving conservation success for that CT. The available data layer to address landscape configuration is CLIP 4.0 core data -- Landscape...
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This data layer represents a potential Conservation Target (CT) for PFLCC's 'Hardwood Forested Uplands' Priority Resource (PR). The potential CT shown here is the protected/managed area. These layers were created for an initial investigation of potential CT's suggested at brainstorming workshops. The initial investigation entails locating available datasets to address the suggested CT as closely as possible and performing minimal analyses to determine their usefulness. The final set of CT's and their associated datasets will be chosen after targets (e.g., endpoints) are established as a threshold for achieving a conservation success for that CT. The data layer available for evaluating the area under management and/or...
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This data layer represents a tested potential Conservation Target (CT) for PFLCC's Priority Resource (PR): Coastal Uplands. The suggested potential CT was Species Richness. Species Richness is one component of biodiversity, an important aspect of landscape conservation. Biodiversity is important for maintaining the balance of natural communities and ecosystems upon which humans also depend. Florida has a high level of species diversity and endemism but the state is experiencing threats to its natural heritage from a variety of sources. The data used in this analysis in addition to the Priority Resource layer is the Species Richness layer from the CLIP 4.0 geodatabase. The core layer of the geodatabase is from the...
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These data represent a potential Conservation Target for the Working Lands Priority Resource of the PFLCC. The potential Conservation Target is the connectivity of Working Lands. The Florida Greenways layer from CLIP 4.0 provides a context for Connectivity with natural habitats that provide connections between large natural areas in Florida. For additional metadata on CLIP 4.0, see the gallery of the same name in the Peninsular Florida LCC Community. The data set shown depicts the Greenways priorities within the Working Lands Priority Resource only. The Working Lands Priority Resource raster layer was used as a mask to extract the Greenways priority values for pattern analysis.
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of ammonia within 300 meters of mangrove swamp. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”
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These data show the protected hardwood forested uplands indicator conservation assets that are part in the Landscape Conservation Project for Florida. Protected hardwood forested uplands are an ecological indicator of the Florida Landscape Conservation Project (LCP). The LCP entails a large-scale assessment of and planning for the health of important natural resources, known as Conservation Assets (CAs), in Florida. Conservation planning at the landscape scale provides a framework for safeguarding functional ecosystems, and their interconnected processes required for maintaining healthy resources. Spatially explicit data from the project informs coordination and prioritization for making conservation decisions....
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These data show the Fire History Indicator for the Pine Flatwoods and Dry Prairie Conservation Asset in Florida. Fire Regime is an ecological indicator for the Pine Flatwoods and Dry Prairie Conservation Asset of the Florida Landscape Conservation Project (LCP). The LCP entails a large-scale assessment of and planning for the health of important natural resources, known as Conservation Assets (CAs), in Florida. Conservation planning at the landscape scale provides a framework for safeguarding functional ecosystems, and their interconnected processes required for maintaining healthy resources. Spatially explicit data from the project informs coordination and prioritization for making conservation decisions. A suite...
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of dissolved oxygen within 300 meters of coral & hardbottom. Assessments (condition) was classified depending on the following follow thresholds for PCPY: -1.0 & 0.0 & = 1.0% - “Increasing” This dataset is part of the Florida Landscape Conservation project. The project seeks to better understand the trends of indicators within prioritized conservation assets (or habitats). The trends and analysis carried by the project will be used to aid in informing management and conservation actions at, both, the broader and detailed spatial scales. Further information on the FLCP, conservation asset extent, and metadata: https://flcpa.databasin.org/datasets/ba218d714f094e68bbdb1a0f496c9e4e
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of pH within 300 meters of saltwater marsh. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”
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These data show Conservation Opportunities for the Southwestern Region. Opportunities include Pinelands, Lakes, Rivers, and Streams, Coastal, and Freshwater.
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The Florida Marine Blueprint V. 2 depicts marine and estuarine priorities based on combined natural resource priorities, providing guidance for efficient and effective conservation planning and implementation. The FLMB Version 2 used six natural resource datasets to prioritize area of natural habitats in Florida’s EEZ extent. The datasets comprised 19 separate spatial feature layers acquired through a variety of monitoring and management organizations. Spatial layers represent vital conservation and/or management data, such as endangered and threatened species (i.e., critical habitat), overall species richness in estuarine habitats, commercially and recreationally important species (i.e., essential fish habitat),...
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The Florida Marine Blueprint V. 2 depicts marine and estuarine priorities based on combined natural resource priorities, providing guidance for efficient and effective conservation planning and implementation. The FLMB Version 2 used six natural resource datasets to prioritize area of natural habitats in Florida’s EEZ extent. The datasets comprised 19 separate spatial feature layers acquired through a variety of monitoring and management organizations. Spatial layers represent vital conservation and/or management data, such as endangered and threatened species (i.e., critical habitat), overall species richness in estuarine habitats, commercially and recreationally important species (i.e., essential fish habitat),...
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For more information about how these data were developed, please see the final report. Expert opinion was used to define a resistance surface for each of the target animals, with higher resistance representing map units expected to be more difficult and more dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations for the species, are also defined. Note actual species population data to define the nodes is not used, as that data was often unavailable, and the focus is on the potential spread of the species across the SALCC region and not limited to models to known populations. Therefore, node locations were determined by...
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This map contains multiple layers related to the corridors in Blueprint 2.2. Inland Hubs These are the hubs used in the Linkage Mapper-based connectivity analysis for the inland portion of the South Atlantic area in Blueprint 2.2. Input Data -- Ecosystem scores from Zonation for all inland ecosystems (beach and dune, estuarine marsh, forested wetland, freshwater marsh, maritime forest, pine and prairie, upland hardwood) -- The Nature Conservancy’s (TNC) Resilient Land Project -- TNC's Secured Lands Database (External Eastern Division 2014) Mapping Steps 1) Individual ecosystem integrity scores (Zonation outputs) for the inland ecosystems (beach and dune, estuarine marsh, forested wetland, freshwater marsh, maritime...
map background search result map search result map Precipitation as Snow under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Winter (Dec to Feb) Mean Temperature under the A1B Emissions Scenario (Western North America, 23 AOGCM Ensemble) Black Bear Connectivity BC Estuary Threats Assessment FFW Connectivity HFU Configuration HFU Protected Area CU Species Richness Corridors 2.2 Working Lands - Connectivity Priority Resources and CLIP Priorities apalachicola_Floater.mxd Pine Flatwoods and Dry Prairie - Fire Regime Final Indicator Hardwood Forested Upland in Protection Saltwater Marsh – pH Trends (FLCP Indicator) Coral & Hardbottom - Living Tissue Area Assessment (FLCP Indicators) Mangrove Swamp – Ammonia Trends (FLCP Indicator) Southwest Region Conservation Opportunities Marine Blueprint test2 Marine Blueprint Test2 apalachicola_Floater.mxd Southwest Region Conservation Opportunities Coral & Hardbottom - Living Tissue Area Assessment (FLCP Indicators) HFU Protected Area Hardwood Forested Upland in Protection Pine Flatwoods and Dry Prairie - Fire Regime Final Indicator Mangrove Swamp – Ammonia Trends (FLCP Indicator) Saltwater Marsh – pH Trends (FLCP Indicator) HFU Configuration Priority Resources and CLIP Priorities Working Lands - Connectivity CU Species Richness FFW Connectivity Marine Blueprint test2 Marine Blueprint Test2 BC Estuary Threats Assessment Black Bear Connectivity Corridors 2.2 Precipitation as Snow under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Winter (Dec to Feb) Mean Temperature under the A1B Emissions Scenario (Western North America, 23 AOGCM Ensemble)