Index of Ecological Integrity, New York State

This dataset was last updated 05/2016. This version was updated using DSLland Version 3.1. The update to DSLland Version 3.1 from Version 3.0 is the addition of a lakes and ponds classification. This dataset depicts the ecological integrity of locations (represented by 30 m grid cells) throughout New York State based on environmental conditions existing in approximately 2010. Ecological integrity is defined as the ability of an area (e.g., local site or landscape) to sustain important ecological functions over the long term. In particular, the functions include the long-term ability to support biodiversity and the ecosystem processes necessary to sustain biodiversity. The Index of Ecological Integrity (IEI) is...

Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Data, LCC Network Science Catalog, NYS, NYS, New York State, All tags... New York State, North Atlantic Landscape Conservation Cooperative Data.gov, completed, condition, condition, dataset, dataset, designing, designing, dsl, dsl, ecosystems, ecosystems, environmental, environmental, habitat, habitat, iei, iei, intact, intact, intactness, intactness, landscapes, landscapes, resilience, resilience, resiliency, resiliency, sustainable, sustainable, systems, systems, terrestrial, terrestrial, university of massachusetts, university of massachusetts, Fewer tags

Significant Habitats, New York State

This layer was created from the Ecological Systems Map (ESM+, also called DSL Land) to highlight a number of habitat types specifically. We used the Summarize Zones function in ArcMap along with the Protected Areas Dataset and the ESM+ layer to identify the extent and protection status of all ecological systems (macrogroup level) across the 4 northeast states of NY, VT, NH, and ME. We also used information on potential habitats for Regional Species of Greatest Conservation Need (RSGCN) for these 4 states from a prior crosswalk of ESM+ macrogroups with Natureserve habitat types completed by Glennon and Curran (2013). The following habitat types were identified as (1) making up less than 10% of NYS (most are <...

Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Data, LCC Network Science Catalog, NYS, NYS, New York, All tags... New York, New York State, New York State, North Atlantic Landscape Conservation Cooperative Data.gov, Significant Habitats, Significant Habitats, completed, dataset, dataset, habitats, habitats, land, land, land conservation, land conservation, Fewer tags

Riparian Areas, New York State

Riparian areas and floodplain forests are critical to wildlife and used by large numbers of species not only for habitat but as important corridors for dispersal and migration. We created a raster from the ESM+ layer that identified lotic habitats and the adjacent areas up to 100m from them in order to denote riparian features on the landscape that may be worthy of protection. We selected a 100m distance as a buffer distance which, if protected, would enhance conservation of riparian habitats and is consistent with prior recommendations we have made about protection of these features (WCS 2010, 2013).

Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Data, Ecological Systems, Ecological Systems, Floodplains, Floodplains, All tags... LCC Network Science Catalog, NYS, NYS, New York, New York, New York State, New York State, North Atlantic Landscape Conservation Cooperative Data.gov, Riparian, Riparian, Riparian Areas, Riparian Areas, completed, dataset, dataset, Fewer tags

Local Connectivity, New York State

Resilience concerns the ability of a living system to adjust to climate change, to moderate potential damages, to take advantage of opportunities, or to cope with consequences; in short, its capacity to adapt. In this project we aim to identify the most resilient examples of key geophysical settings (e.g. sand plains, granite mountains, limestone valleys, etc.) in New york State to provide conservationists with a nuanced picture of the places where conservation is most likely to succeed over centuries.The project had three parts: 1) identifying and mapping the geophysical settings, 2) developing a quantitative estimate of resilience for each setting based on landscape complexity and permeability, and 3) identifying...

Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Connectivity, Data, LCC Network Science Catalog, Local Connectivity, NYS, All tags... NYS, New York State, New York State, North Atlantic Landscape Conservation Cooperative Data.gov, TNC, TNC, UMASS, UMASS, completed, conservation, conservation, dataset, dataset, Fewer tags

Large Forest Blocks, New York State

Large forest blocks are important features on the landscape and worthy of conservation attention. Maintenance of large blocks of intact habitat is perhaps the most oft recommended biodiversity conservation strategy. We created a map of large forest blocks by selecting all of the forest formations from the Ecological Systems dataset and converting this raster coverage into a polygon coverage using ArcMap. We then used the area function within the resulting attribute table to calculate areas of forest habitats across the state. Last, we classified them according to parameters originally developed by the Orange County Open Space Plan (Orange County Planning Department, 2004) and further utilized by Cornell University’s...

Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Data, LCC Network Science Catalog, Large Forest Blocks, Large Forest Blocks, NYS, All tags... NYS, New York State, New York State, North Atlantic Landscape Conservation Cooperative Data.gov, completed, conservation, conservation, dataset, dataset, forest, forest, landscape, landscape, locally important, locally important, regionally important, regionally important, stepping stones, stepping stones, Fewer tags