Early detection of invasive Phragmites australis at the tidal marsh-forest ecotone with airborne LiDAR Article Swipe
Biao Xiong
,
Siyuan Han
,
Tyler C. Messerschmidt
,
Matthew L. Kirwan
,
Keryn B. Gedan
,
Man Qi
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ecolind.2024.112651
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ecolind.2024.112651
Wetlands across North America are invaded by an introduced lineage of the common reed Phragmites australis, and sea level rise has exacerbated the spread of this species. P. australis at tidal marsh-forest ecotones has rapidly been expanding into deteriorating forest, colonizing understory environments ahead of native marsh species. Early detection of P. australis at the ecotone will be critical to the management of this invasive species in coming decades. In this study, we develop and validate a new method for early detection of P. australis, using open access airborne LiDAR data that can uniquely penetrate the tree canopy and detect P. australis within the forest understory. The method was designed for areas of sparse to moderate tree cover, such as the forest edge where trees are dying and P. australis is expanding, where understory species mapping was previously impossible with most spectral data. To differentiate P. australis from shrubs and other understory herbaceous plants, we tested the effectiveness of several LiDAR-derived spatial metrics, including Mean distance, Point density, Scatter, Omnivariance, and Eigentropy, as inputs to a Support Vector Machine (SVM) classifier, followed by a smoothing algorithm to avoid occasional obstacles or disturbances. We compare among metrics and single- vs. multiple- metric-based classifications. The resulting best early detection method of P. australis achieved a classification accuracy of 91.48% at the development site, and between 56.16% and 80.65% accuracy at other test sites. This algorithm provides a cost-effective and high accuracy method of detecting understory P. australis using public airborne LiDAR data. Larger-scale application of this method will provide coastal resource managers and policy-makers with distribution maps of P. australis through time in open environments and the forest understory. More generally, this approach provides a framework for mapping understory species and plant functional groups using LiDAR-derived metrics.
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ecolind.2024.112651
- OA Status
- gold
- Cited By
- 3
- References
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4403256707Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ecolind.2024.112651Digital Object Identifier
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Early detection of invasive Phragmites australis at the tidal marsh-forest ecotone with airborne LiDARWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-01Full publication date if available
- Authors
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Biao Xiong, Siyuan Han, Tyler C. Messerschmidt, Matthew L. Kirwan, Keryn B. Gedan, Man QiList of authors in order
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https://doi.org/10.1016/j.ecolind.2024.112651Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.ecolind.2024.112651Direct OA link when available
- Concepts
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Ecotone, Phragmites, Marsh, Environmental science, Lidar, Wetland, Salt marsh, Ecology, Remote sensing, Geography, Habitat, BiologyTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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