M2B Terrestrial Linkage Potential is a science-based identification of critical terrestrial habitat between the Mayacamas Mountains and the Berryessa Range where long-term connectivity is threatened. This data was created as part of a multi-county climate connectivity assessment by the Mayacamas to Berryessa Landscape Connectivity Network (M2B) -- a public-private collaboration scientists and land managers. M2B integrates partner expertise with spatial modeling to create practical tools to help guide priorities for conservation and land management in Northern California's Inner Coast Range.

The M2B climate connectivity project directly involved stakeholders in the modeling and evaluation process, which included the following:

1. Identification of potential habitat linkages based on terrestrial and riparian connectivity of natural habitats between existing protected areas (this data),

2. Quantification of habitat corridor climate benefits based on state-of-the art, high-resolution climate projections,

3. Generation of maps comparing the vulnerability of specific sites to environmental concerns (e.g., fire, drought) with their contribution to regional ecosystem integrity, and

4. Creation of reports for 6 priority corridors that identify and evaluate specific parcels for connectivity and climate resilience.

The combination of high-resolution landscape permeability and climate datasets provides local decision-makers with flexible science-based tools for exploring, planning, and implementing habitat connectivity pathways. In the M2B region, parcel-scale acquisition and stewardship will be advanced primarily by private land trusts and public open space districts in concert with State and Federal land management agencies. The M2B methods are designed to be scalable and reproducible throughout Californin, and the formation of the M2B network provides a documented model for empowering local agencies and organizations to work effectively, and in a coordinated fashion, to achieve landscape-level conservation objectives.

M2B Terrestrial Linkage Potential is a science-based identification of critical terrestrial habitat between the Mayacamas Mountains and the Berryessa Range where long-term connectivity is threatened. This data was created as part of a multi-county climate connectivity assessment by the Mayacamas to Berryessa Landscape Connectivity Network (M2B) -- a public-private collaboration scientists and land managers. M2B integrates partner expertise with spatial modeling to create practical tools to help guide priorities for conservation and land management in Northern California's Inner Coast Range.

The M2B climate connectivity project directly involved stakeholders in the modeling and evaluation process, which included the following:

1. Identification of potential habitat linkages based on terrestrial and riparian connectivity of natural habitats between existing protected areas (this data),

2. Quantification of habitat corridor climate benefits based on state-of-the art, high-resolution climate projections,

3. Generation of maps comparing the vulnerability of specific sites to environmental concerns (e.g., fire, drought) with their contribution to regional ecosystem integrity, and

4. Creation of reports for 6 priority corridors that identify and evaluate specific parcels for connectivity and climate resilience.

The combination of high-resolution landscape permeability and climate datasets provides local decision-makers with flexible science-based tools for exploring, planning, and implementing habitat connectivity pathways. In the M2B region, parcel-scale acquisition and stewardship will be advanced primarily by private land trusts and public open space districts in concert with State and Federal land management agencies. The M2B methods are designed to be scalable and reproducible throughout Californin, and the formation of the M2B network provides a documented model for empowering local agencies and organizations to work effectively, and in a coordinated fashion, to achieve landscape-level conservation objectives.