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A framework to analyze biodiversity capacity at landscape level and identify areas of high ecological importance
University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment. (Ecological Modelling)ORCID iD: 0000-0002-3965-7371
University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment. (Ecological Modelling)ORCID iD: 0000-0001-6122-6167
Applied Mathematics, Department of Mathematics, Linköping University, Sweden.
University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment. (Ecological Modelling)ORCID iD: 0000-0002-5234-9576
2025 (English)In: Ecological Applications, ISSN 1051-0761, E-ISSN 1939-5582, Vol. 35, no 8, article id e70165Article in journal (Refereed) Published
Abstract [en]

Biodiversity is highly affected by ecological processes at the landscape level. To facilitate management decisions at a landscape level, we present an end-user-oriented framework that assesses the biodiversity capacity of individual biotopes in a fragmented landscape and ranks the importance of the biotope patches. The framework can be applied to any biotope and landscape. Analyses can further be done on planned or predicted future scenarios and changes in the landscape structure. There has been continuous exchange with stakeholders and case study testing with the purpose to build a tool that answers the important questions of end users, and provides results that are useful for decision-makers and environmental managers in environmental management and land use planning. The framework is novel in its calculations of the combined effects of connectivity and survival of biodiversity in the biotope patches. It uses land cover data and the concept of umbrella focal species as input. The framework strongly builds on ecological theory and ecological modeling, and produces three outputs of interest: a heatmap visualizing individual patch importance for upholding landscape biodiversity, an indicator metric of the ability of a biotope landscape to support biodiversity, and the number of unsustainable individual patches. The theoretical foundation and structure of the framework are thoroughly explained. The use of its output is further demonstrated by one selected case study where the calculations are applied to a biotope of fragmented old coniferous forest in Sweden. We additionally examine and show how the overall biodiversity potential of the biotope landscape is dependent on which types of species communities are in focus by applying different umbrella focal species. The case study demonstrates the importance of landscape structure for sustainable biodiversity. Results further demonstrate that it is essential to consider the type of species community that is the primary biodiversity conservation target.

Place, publisher, year, edition, pages
John Wiley & Sons, 2025. Vol. 35, no 8, article id e70165
Keywords [en]
biodiversity indicator, connectivity, ecological modeling, ecological networks, land use management, landscape ecology, nature conservation, spatial planning
National Category
Ecology
Research subject
Ecological Modelling Group
Identifiers
URN: urn:nbn:se:his:diva-26084DOI: 10.1002/eap.70165ISI: 001648044800016PubMedID: 41416349Scopus ID: 2-s2.0-105025171504OAI: oai:DiVA.org:his-26084DiVA, id: diva2:2023725
Funder
Swedish Environmental Protection Agency, NV‐03728‐17Jan Wallander and Tom Hedelius Foundation and Tore Browaldh Foundation, P2015-0229:1Swedish National Infrastructure for Computing (SNIC), 2018-05973
Note

CC BY-NC-ND 4.0

Correspondence: Annie Jonsson. Email: annie.jonsson@his.se

Swedish National Infrastructure for Computing (SNIC), Grant/Award Number: 2018-05973; Jan Wallanders and Tom Hedelius Stiftelse and Tore Browaldhs Stiftelse, Grant/Award Number: P2015-0229:1; Naturvårdsverket, Grant/Award Number: NV-03728-17

Available from: 2025-12-22 Created: 2025-12-22 Last updated: 2026-01-08Bibliographically approved

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Jonsson, AnnieBerg, SofiaJonsson, Tomas

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12131415161718 18 of 18
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