Connecting Landscapes: A decision support system to facilitate conservation led development

Unsustainable development continues to fragment natural landscapes and wildlife populations, contributing to declining global biodiversity. Advances in computation have enabled ever more sophisticated assessment of development and conservation impacts on functional landscape connectivity. However, accessibility of these advances to non-expert users has lagged. Here we present CoLa, an integration and expansion of existing software applications that model functional connectivity, population dynamics, and genetic exchange across landscapes. CoLa is a cloud-based or locally installable conservation decision-support system (DSS) that enables user-friendly assessment of the trade-offs between development and conservation in a data-driven framework. We describe the origins of the CoLa DSS, its functionality, and present two case studies at different spatial scales illustrating its use. We expect the CoLa DSS will be particularly useful to decision makers attempting to reconcile economic growth and biodiversity conservation, supporting the transition to conservation-led development needed to stem the ongoing loss of biodiversity. • New connectivity conservation software, Connecting Landscapes (CoLa), is introduced. • CoLa facilitates comparison of the impacts of development and conservation scenarios. • Case studies of new road impacts on Sunda clouded leopard populations are presented. • Advances relative to existing software packages are demonstrated.

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Publication Details

Journal
Environmental Modelling & Software
Published
2025-06-13
DOI
https://doi.org/10.1016/j.envsoft.2025.106576
Citations
1
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
1.72
Controls
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article

Connecting Landscapes: A decision support system to facilitate conservation led development

Andrew J. Hearn, S. J. Goetz, Żaneta Kaszta, Dawn Burnham et al.
1 citations
Environmental Modelling & Software
Wildlife-Road Interactions and Conservation
1.72
article

Connecting Landscapes: A decision support system to facilitate conservation led development

Andrew J. Hearn, S. J. Goetz, Żaneta Kaszta, Dawn Burnham, Isabel E. Gonzales, Katherine A. Zeller, Erin L. Landguth, David W. Macdonald, Patrick Jantz, Andrew J. Loveridge, Samuel A. Cushman
article en
1 citations

Abstract

Unsustainable development continues to fragment natural landscapes and wildlife populations, contributing to declining global biodiversity. Advances in computation have enabled ever more sophisticated assessment of development and conservation impacts on functional landscape connectivity. However, accessibility of these advances to non-expert users has lagged. Here we present CoLa, an integration and expansion of existing software applications that model functional connectivity, population dynamics, and genetic exchange across landscapes. CoLa is a cloud-based or locally installable conservation decision-support system (DSS) that enables user-friendly assessment of the trade-offs between development and conservation in a data-driven framework. We describe the origins of the CoLa DSS, its functionality, and present two case studies at different spatial scales illustrating its use. We expect the CoLa DSS will be particularly useful to decision makers attempting to reconcile economic growth and biodiversity conservation, supporting the transition to conservation-led development needed to stem the ongoing loss of biodiversity. • New connectivity conservation software, Connecting Landscapes (CoLa), is introduced. • CoLa facilitates comparison of the impacts of development and conservation scenarios. • Case studies of new road impacts on Sunda clouded leopard populations are presented. • Advances relative to existing software packages are demonstrated.

Environmental Modelling & SoftwareVol. 192
Panthera Corporation (US), Northern Arizona University (US), University of Oxford (GB), Rocky Mountain Research Station (US), Rocky Mountain Research (United States) (US), University of Montana (US)
Life in Land
Openalex Percentile: Top 16%
Wildlife-Road Interactions and Conservation
1.72
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