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Landscape Capability for Louisiana Waterthrush
This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Louisiana Waterthrush (Parkesia motacilla) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species.
Landscape Capability for Prairie Warbler
This dataset depicts the potential capability of the landscape throughout the Connecticut River Watershed to provide habitat for Prairie Warbler (Setophaga discolor) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species.
Landscape Capability for Marsh Wren
This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Marsh Wren (Cistothorus palustris) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species.
Landscape Capability for Moose
This dataset depicts the potential capability of the landscape throughout the Connecticut River Watershed to provide habitat for Moose (Alces alces) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species.
Landscape Capability for Eastern Meadowlark
This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Eastern Meadowlark (Sturnella magna) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species.
Landscape Capability for Blackpoll Warbler
This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Blackpoll Warbler (Setophaga striata) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species.
Landscape Capability for Blackburnian Warbler
This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Blackburnian Warbler (Dendroica fusca) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species.
Landscape Capability for Black Bear
This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for American black bear based on environmental conditions existing in approximately 2010. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species.
Landscape Capability for American Woodcock
This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for American Woodcock (Scolopax minor) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species.
Species
Photo credit: Tom Wicker
Base Maps and Ancillary Data
 
Stream Class
This dataset is a continuous vector representation of streams classified into ecosystems, which can be useful for investigating the ecosystem composition of the lotic cores and also as a backdrop or transparent overlay on other raster products.
Ecological Systems Map
This dataset represents a version of the ecological systems map (ESM+), originally derived by TNC and modified for the Designing Sustainable Landscapes (DSL) project. Major modifications include improvements to the classification and mapping of roads, development, streams, and coastal wetlands. In this map, ecological systems are hierarchically organized such that at the finest level cells are classified into ecological systems (or ecosystems), which are aggregated into formations. Thus, the map can be symbolized to depict the distribution of ecological units at either the ecosystem or formation level.
Base Maps and Ancillary Data
 
Aquatic design products
 
Anadromous Fish Index
This dataset identifies large and medium rivers within the Connecticut River watershed that provide habitat for five anadromous fish species: American shad, blueback herring, shortnose sturgeon, alewife, and sea lamprey. Habitat includes the mainstem and major tributaries of the Connecticut River from the mouth of the river upstream to the limit of passability for these species. This layer is derived from a product entitled "diadromous fish habitat in the Connecticut River watershed" developed in 2010 by The Nature Conservancy, Connecticut River Basin Program. Digital data updates were performed by Renee Farnsworth working with USFWS personnel through the NALCC. Specifically, river segments identified and known to be accessible to the five species listed above were extracted from the diadromous data layer, and each river segment was assigned a score from 1-5 indicating the number of species having known access to the segment. In addition, each segment was scored as “free-flowing,” “impounded” or “unknown.” All river sections with a score >0 for the five focal species are included in the final set of lotic cores.
Culvert Upgrade Impacts
This dataset represents opportunities to restore aquatic connectivity by upgrading culverts. Specifically, this product tabulates the results of a model in which each road-stream crossing is systematically upgraded (virtually) to a bridge having the minimum aquatic barrier score, one at a time, and the predicted improvement in aquatic connectedness from the upgrade is recorded. The delta, or difference, in the aquatic connectedness score, before and after the crossing upgrade for each cell within the affected neighborhood, is computed and multiplied by the average index of ecological integrity of the affected neighborhood. The weighting by the Index of Ecological Integrity emphasizes the potential ecological benefits of a crossing upgrade in an area that is otherwise in good condition but depressed by the crossing structure. Conversely, the score is lower where conditions are already so degraded that an upgrade would not improve local ecosystem conditions.
Aquatic Vulnerability to Development
This dataset represents the aquatic vulnerability to development index, which reflects the likelihood of development occurring in places in the uplands that are likely to impact the aquatic cores. Specifically, aquatic vulnerability is the product of the aquatic buffers, which represent the areas estimated to have a strong influence on the integrity of the aquatic cores based on watershed processes, and the integrated future probability of development between 2010-2080. Cells with relatively low watershed influence on the aquatic cores have low vulnerability regardless of their risk of development, since the integrity of the cores will not be degraded too much if they get developed. Aquatic vulnerability is greatest where there is high watershed influence; i.e., uplands in close proximity to the cores as the water flows, and where there is also relatively high probability of development in the future.
Aquatic Selection Index
This dataset represents the selection index used to create aquatic ecosystem-based cores. The selection index is a continuous surface in which every cell is assigned a value (0-1) based on its relative ecological integrity within each HUC6 watershed. Specifically, the selection index is equal to the index of ecological integrity except in headwater creeks where it is the average of IEI and USGS's stream temperature tolerance index. Aquatic core areas are created, in part, by choosing cells above a certain index value and spreading from these "seed areas" through adjacent aquatic cells to build larger, buffered cores of relatively high ecological value.
Aquatic Index of Ecological Integrity
This dataset represents Aquatic index of ecological integrity (IEI), which is a measure of relative intactness (i.e., freedom from human modifications and disturbance) and resiliency to environmental change (e.g., as caused by disturbance and climate change). Raw IEI is a composite index derived from 19 different landscape metrics that measure different aspects of intactness and resiliency. For the derivation of this layer, raw IEI is (quantile) scaled by ecological system and HUC6 watershed so that the poorest cell of each ecological system gets a 0 and the best gets a 1 within each watershed. Aquatic IEI, is provided for convenience in displaying the results of the aquatic conservation design but is otherwise equivalent to Weighted IEI except that it only has values for aquatic cells (all non-aquatic cells are set to nodata), is technically unweighted IEI. IEI is a major component of the terrestrial and aquatic core area selection indices and thus the terrestrial and aquatic network of core areas.