Climate Change Vulnerability Index
Source: NatureServe | Type: Tool / Framework |
The NatureServe Climate Change Vulnerability Index identifies plant and animal species that are particularly vulnerable to the effects of climate change.
Source: The Nature Conservancy, The University of Washington, and The University of Southern Mississippi. | Type: Tool / Framework | Year: 2009
ClimateWizard enables technical and non-technical audiences alike to access leading climate change information and visualize the impacts anywhere on Earth.
Source: The Nature Conservancy | Type: Tool / Framework |
Coastal Resilience is a global network of practitioners who are applying an approach and web-based mapping tool designed to help communities understand their vulnerability from coastal hazards, reduce their risk and determine the value of nature-based solutions.
Source: Conservation Biology Institute | Type: website |
Data Basin is a science-based mapping and analysis platform that supports learning, research, and sustainable environmental stewardship.
Climate Change Resource Center
Source: United States Forest Service | Type: website |
Source: NOAA Office for Coastal Management | Type: Tool / Framework |
Template for Assessing Climate Change Impacts and Management Options (TACCIMO)
Source: Eastern Forest and Western Wildland Environmental Threat Assessment Center and the National Forest System | Type: Tool / Framework |
The Yale Framework: Integrating Climate Adaptation and Landscape Conservation Planning
Source: Yale School of Forestry and Environmental Studies. | Type: Tool / Framework |
Responding to Climate Change in New York State (ClimAID)
Source: New York State Energy Research and Development Authority (NYSERDA), Albany, NY. | Type: Report | Year: 2014
Wildlife habitat connectivity in the changing climate of New York’s Hudson Valley
Source: Ann. N.Y. Acad. Sci. 00 (2013) 1–17 | Type: Example / Case Study | Year: 2013
Maintaining and restoring connectivity are key adaptation strategies for biodiversity conservation under climate change. We present a novel combination of species distribution and connectivity modeling using current and future climate regimes to prioritize connections among populations of 26 rare species in New York’s Hudson Valley. We modeled patches for each species for each time period and modeled potential connections among habitat patches by finding the least-cost path for every patch-to-patch connection. Finally, we aggregated these patches and paths to the tax parcel, commonly the primary unit of conservation action. Under future climate regimes, suitable habitat was predicted to contract or appear upslope and farther north. On average, predicted patches were nine times smaller and paths were twice as long under future climate. Parcels within the Hudson Highlands, Shawangunk Ridge, Catskill Mountains, and Harlem Valley had high species overlap, with areas upslope and northward increasing in importance over time. We envision that land managers and conservation planners can use these results to help prioritize parcel-level conservation and management and thus support biodiversity adaptation to climate change.