Forest fragmentation is one of the greatest barriers to conserving biodiversity and maintaining ecosystem functioning. As forests are divided into smaller, more isolated patches by land use change, species movement becomes more difficult to sustain.
Conservation planning increasingly depends on spatial analyses of fragmentation to identify priority areas for connectivity and restoration, and to measure progress toward global biodiversity goals such as the Kunming-Montreal Global Biodiversity Framework and 30×30. However, the growing number of analytical methods has also made it harder to compare studies or determine which approaches are best suited for conservation decision-making.
Dutt, S., Remmel, T.K., Rivas, C.A., Mazziotta, A. and Kunz, M. 2026. Advancing forest fragmentation analysis: a systematic review of evolving spatial metrics, software platforms, and remote sensing innovations. Landscape Ecology 41: 92. DOI: 10.1007/s10980-026-02354-7.
A recent review examined how forest fragmentation analysis has evolved over the past 35 years, synthesizing 138 studies published between 1990 and 2025. The authors evaluated a subset of 127 methodological studies, classifying them into 12 major methodological families and tracking how analytical approaches changed over time. Their goal was not to identify a single “best” method, but rather to understand trends, strengths and limitations, and potential opportunities to improve consistency across fragmentation research.
The review found that fragmentation analyses have shifted dramatically from relying on relatively simple landscape metrics toward increasingly sophisticated approaches. These approaches integrate high-resolution remote sensing, cloud computing, machine learning, object-based image analysis, LiDAR, and multi-source datasets.
Open-source software has also become much more common, improving accessibility and reproducibility for researchers regardless of location or affiliation. These technological advances allow scientists to detect habitat changes at finer scales, monitor fragmentation more regularly, and better capture the structural complexity of forests.
Despite these advances, the review identified several persistent challenges. Many studies continue to use different metrics, software platforms, spatial resolutions, and classification schemes, making it difficult to compare across regions or time periods. Fragmentation metrics are often selected without clearly linking them to ecological questions or species responses, limiting their usefulness for conservation planning. The authors argue that in order to improve the transferability of results, studies need greater standardization, transparent workflows, and stronger connections between fragmentation metrics and ecological processes.
Corridors, habitat restoration, and protected area planning all depend on accurate assessments of how habitat is configured across land- and seascapes. As governments and organizations invest in large-scale conservation initiatives, standardized and reproducible fragmentation analyses can help identify where connectivity has been lost and how conservation outcomes can be measured over time. By combining modern computer technologies with ecologically meaningful metrics, future fragmentation research can provide more reliable guidance for creating connected regions and advancing biodiversity conservation goals.
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