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The use of multivariate PCA dataset in identifying the underlying drivers of critical stressors, looking at global problems through a local lens
Palynology-based multivariate datasets including geological, ecological, and geochemical data identified the relative importance of the underlying drivers of critical stressors to coastal wetlands by identifying and distinguishing between fluvial flooding, saline water intrusion, delta switching, an...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867045/ https://www.ncbi.nlm.nih.gov/pubmed/35242928 http://dx.doi.org/10.1016/j.dib.2022.107946 |