Bibliographic Details
| Title: |
Spectral Signatures of Macroalgae on Hawaiian Reefs |
| Authors: |
Kimberly Fuller, Roberta E. Martin, Gregory P. Asner |
| Source: |
Remote Sensing, Vol 16, Iss 7, p 1140 (2024) |
| Publisher Information: |
MDPI AG, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Science |
| Subject Terms: |
algae, benthic mapping, biodiversity, Hawaiʻi, remote sensing, spectroscopy, Science |
| More Details: |
In Hawaiʻi, native macroalgae or “limu” are of ecological, cultural, and economic value. Invasive algae threaten native macroalgae and coral, which serve a key role in the reef ecosystem. Spectroscopy can be a valuable tool for species discrimination, while simultaneously providing insight into chemical processes occurring within photosynthetic organisms. The spectral identity and separability of Hawaiian macroalgal taxonomic groups and invasive and native macroalgae are poorly known and thus were the focus of this study. A macroalgal spectroscopic library of 30 species and species complexes found in Hawaiʻi was created. Spectral reflectance signatures were aligned with known absorption bands of taxonomic division-specific photosynthetic pigments. Quadratic discriminant analysis was used to explore if taxonomic groups of algae and native versus invasive algae could be classified spectrally. Algae were correctly classified based on taxonomic divisions 96.5% of the time and by species 83.2% of the time. Invasive versus native algae were correctly classified at a rate of 93% and higher, although the number of invasive algal species tested was limited. Analyses suggest that there is promise for the spectral separability of algae investigated in this study by algal taxonomic divisions and native-invasive status. This study created a spectral library that lays the groundwork for testing the spectral mapping of algae using current airborne and forthcoming spaceborne imaging spectroscopy, which could have significant implications for coastal management. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2072-4292 |
| Relation: |
https://www.mdpi.com/2072-4292/16/7/1140; https://doaj.org/toc/2072-4292 |
| DOI: |
10.3390/rs16071140 |
| Access URL: |
https://doaj.org/article/79759b1e143e4a878e142366d1dcd261 |
| Accession Number: |
edsdoj.79759b1e143e4a878e142366d1dcd261 |
| Database: |
Directory of Open Access Journals |
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