Discovering floristic and geoecological gradients across Amazonia
Aim: To map and interpret floristic and geoecological patterns across the Amazon basin by combining extensive field data with basin-wide Landsat imagery and climatic data. Location: Amazonia. Taxon: Ground truth data on ferns and lycophytes; remote sensing results reflect forest canopy properties. M...
| Autor principal: | Tuomisto, Hanna |
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| Outros Autores: | Van Doninck, Jasper, Ruokolainen, Kalle, Moulatlet, Gabriel M., Figueiredo, Fernando Oliveira Gouvêa, Sirén, Anders Henrik, Cárdenas, Glenda G., Lehtonen, Samuli, Zuquim, Gabriela |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Journal of Biogeography
2020
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| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/16638 |
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oai:repositorio:1-16638 |
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dspace |
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oai:repositorio:1-16638 Discovering floristic and geoecological gradients across Amazonia Tuomisto, Hanna Van Doninck, Jasper Ruokolainen, Kalle Moulatlet, Gabriel M. Figueiredo, Fernando Oliveira Gouvêa Sirén, Anders Henrik Cárdenas, Glenda G. Lehtonen, Samuli Zuquim, Gabriela Biogeographical Region Canopy Reflectance Fern Forest Canopy Image Resolution Landsat Multispectral Image Rainforest Remote Sensing Satellite Imagery Surface Reflectance Tree Tropical Forest Understory Vegetation Type Amazonia Filicophyta Lycopodiophyta Aim: To map and interpret floristic and geoecological patterns across the Amazon basin by combining extensive field data with basin-wide Landsat imagery and climatic data. Location: Amazonia. Taxon: Ground truth data on ferns and lycophytes; remote sensing results reflect forest canopy properties. Methods: We used field plot data to assess main ecological gradients across Amazonia and to relate floristic ordination axes to soil base cation concentration, Climatologies at High Resolution for the Earth's Land Surface Areas (CHELSA) climatic variables and reflectance values from a basin-wide Landsat image composite with generalized linear models. Ordination axes were then predicted across all Amazonia using Landsat and CHELSA, and a regional subdivision was obtained using k-medoid classification. Results: The primary floristic gradient was strongly related to base cation concentration in the soil, and the secondary gradient to climatic variables. The Landsat image composite revealed a tapestry of broad-scale variation in canopy reflectance characteristics across Amazonia. Ordination axis scores predicted using Landsat and CHELSA variables produced spatial patterns consistent with existing knowledge on soils, geology and vegetation, but also suggested new floristic patterns. The clearest dichotomy was between central Amazonia and the peripheral areas, and the available data supported a classification into at least eight subregions. Main conclusions: Landsat data are capable of predicting soil-related species compositional patterns of understorey ferns and lycophytes across the Amazon basin with surprisingly high accuracy. Although the exact floristic relationships may differ among plant groups, the observed ecological gradients must be relevant for other plants as well, since surface reflectance recorded by satellites is mostly influenced by the tree canopy. This opens exciting prospects for species distribution modelling, conservation planning, and biogeographical and ecological studies on Amazonian biota. Our maps provide a preliminary geoecological subdivision of Amazonia that can now be tested and refined using field data of other plant groups and from hitherto unsampled areas. © 2019 John Wiley & Sons Ltd 2020-06-15T21:35:32Z 2020-06-15T21:35:32Z 2019 Artigo https://repositorio.inpa.gov.br/handle/1/16638 10.1111/jbi.13627 en Volume 46, Número 8, Pags. 1734-1748 Restrito Journal of Biogeography |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Biogeographical Region Canopy Reflectance Fern Forest Canopy Image Resolution Landsat Multispectral Image Rainforest Remote Sensing Satellite Imagery Surface Reflectance Tree Tropical Forest Understory Vegetation Type Amazonia Filicophyta Lycopodiophyta |
| spellingShingle |
Biogeographical Region Canopy Reflectance Fern Forest Canopy Image Resolution Landsat Multispectral Image Rainforest Remote Sensing Satellite Imagery Surface Reflectance Tree Tropical Forest Understory Vegetation Type Amazonia Filicophyta Lycopodiophyta Tuomisto, Hanna Discovering floristic and geoecological gradients across Amazonia |
| topic_facet |
Biogeographical Region Canopy Reflectance Fern Forest Canopy Image Resolution Landsat Multispectral Image Rainforest Remote Sensing Satellite Imagery Surface Reflectance Tree Tropical Forest Understory Vegetation Type Amazonia Filicophyta Lycopodiophyta |
| description |
Aim: To map and interpret floristic and geoecological patterns across the Amazon basin by combining extensive field data with basin-wide Landsat imagery and climatic data. Location: Amazonia. Taxon: Ground truth data on ferns and lycophytes; remote sensing results reflect forest canopy properties. Methods: We used field plot data to assess main ecological gradients across Amazonia and to relate floristic ordination axes to soil base cation concentration, Climatologies at High Resolution for the Earth's Land Surface Areas (CHELSA) climatic variables and reflectance values from a basin-wide Landsat image composite with generalized linear models. Ordination axes were then predicted across all Amazonia using Landsat and CHELSA, and a regional subdivision was obtained using k-medoid classification. Results: The primary floristic gradient was strongly related to base cation concentration in the soil, and the secondary gradient to climatic variables. The Landsat image composite revealed a tapestry of broad-scale variation in canopy reflectance characteristics across Amazonia. Ordination axis scores predicted using Landsat and CHELSA variables produced spatial patterns consistent with existing knowledge on soils, geology and vegetation, but also suggested new floristic patterns. The clearest dichotomy was between central Amazonia and the peripheral areas, and the available data supported a classification into at least eight subregions. Main conclusions: Landsat data are capable of predicting soil-related species compositional patterns of understorey ferns and lycophytes across the Amazon basin with surprisingly high accuracy. Although the exact floristic relationships may differ among plant groups, the observed ecological gradients must be relevant for other plants as well, since surface reflectance recorded by satellites is mostly influenced by the tree canopy. This opens exciting prospects for species distribution modelling, conservation planning, and biogeographical and ecological studies on Amazonian biota. Our maps provide a preliminary geoecological subdivision of Amazonia that can now be tested and refined using field data of other plant groups and from hitherto unsampled areas. © 2019 John Wiley & Sons Ltd |
| format |
Artigo |
| author |
Tuomisto, Hanna |
| author2 |
Van Doninck, Jasper Ruokolainen, Kalle Moulatlet, Gabriel M. Figueiredo, Fernando Oliveira Gouvêa Sirén, Anders Henrik Cárdenas, Glenda G. Lehtonen, Samuli Zuquim, Gabriela |
| author2Str |
Van Doninck, Jasper Ruokolainen, Kalle Moulatlet, Gabriel M. Figueiredo, Fernando Oliveira Gouvêa Sirén, Anders Henrik Cárdenas, Glenda G. Lehtonen, Samuli Zuquim, Gabriela |
| title |
Discovering floristic and geoecological gradients across Amazonia |
| title_short |
Discovering floristic and geoecological gradients across Amazonia |
| title_full |
Discovering floristic and geoecological gradients across Amazonia |
| title_fullStr |
Discovering floristic and geoecological gradients across Amazonia |
| title_full_unstemmed |
Discovering floristic and geoecological gradients across Amazonia |
| title_sort |
discovering floristic and geoecological gradients across amazonia |
| publisher |
Journal of Biogeography |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/16638 |
| _version_ |
1787145075176767488 |
| score |
11.755432 |