Connecting Landscapes (CoLa): new tool to facilitate conservation led development

2025-08-28T10:07:23-04:00August 29th, 2025|Corridors in Management, Digests, Tools|
 

Connecting Landscapes (CoLa) is a new decision support system (DSS) designed to make it easier to integrate assessments of habitat connectivity into land-use planning and development.

CoLa addresses the urgent need to reconcile biodiversity conservation with economic development, especially in the face of increasing landscape fragmentation and biodiversity loss. It builds upon and integrates two established software tools—UNICOR and CDPOP—to model species-specific functional connectivity, population dynamics, and genetic exchange across landscapes.

Jantz, P., Macdonald, D.W., Gonzalez, I., et al. 2025. Connecting Landscapes: A decision support system to facilitate conservation led development. Environmental Modelling & Software 192: 106576.
Connecting Landscapes (CoLa)

While users have numerous connectivity tools to choose from, CoLa is unique in that it provides access to high-performance, scalable connectivity tools in a fully interactive GUI that includes a map viewer supporting point-and-click scenario editing. It enables users to better understand, simulate, and evaluate trade-offs between development and conservation scenarios using spatially explicit, data-driven models. CoLa’s ease of use, speed, and map interface encourages collaborative analyses and facilitates communication with stakeholders.

CoLa is available as a cloud-based or locally installable application with a graphical user interface (GUI), making it accessible to non-technical users such as policymakers and conservation practitioners.

The system integrates three connectivity tools that incorporate key aspects of species biology and ecology, providing statistical summaries and maps of core movement areas, important corridors, and population genetic structure:

  • Cumulative Resistant Kernels (CRK): provide an estimate of the potential number of individuals that can move to any cell in the landscape, given the distribution of source points, landscape resistance to movement, and dispersal capacity. CRK highlight core movement areas.
  • Factorial Least Cost Corridors (FLCC): estimate the potential movement frequency between all pairs of source points, given the distribution of source points, landscape resistance to movement, and dispersal capacity. FLCC highlight areas that are most important for mediating long distance movement in the landscape.
  • CDPOP: A landscape genetics simulator that models individual-based mating, dispersal, and mortality over time, allowing users to assess effects of land use and conservation on population size, genetic diversity, and structure.

The primary inputs to the DSS are 1) a resistance surface, representing the species-specific cost of moving through the landscape; and 2) source points that represent the distribution of individuals in the landscape. The DSS supports scenario design and analysis with several spatial tools that allow users to modify resistance surfaces and source point distributions to simulate infrastructure development, habitat restoration, or development mitigation measures. It includes tools for comparing scenarios, prioritizing core movement areas and corridors, and visualizing outputs in maps and charts.

CoLa workshops have been conducted in eleven countries from 2024-2025, reaching hundreds of practitioners across government agencies, NGOs, and academia. Making tools like CoLa more accessible to managers and policy makers via workshops and tutorials is an important step in narrowing the implementation gap for connectivity conservation. When powerful, easy-to-implement tools are available to a wider constituency of stakeholders, especially those with a direct interest in formulating policy and exploring alternative conservation and development options, there is great potential to make progress towards well-connected landscapes that are needed to sustain Earth’s ecosystems.

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About the Author:

Patrick Jantz is an Assistant Research Professor in the School of Informatics, Computing, and Cyber System at Northern Arizona University.
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