Validating forest types based on geological and land-form features in central Amazonia

Figueiredo, Fernando Oliveira Gouvêa; Costa, Flávia Regina Capellotto; Nelson, Bruce Walker; Pimentel, Tânia Pena

Artigo

Validating forest types based on geological and land-form features in central Amazonia

Questions: Are topography-based forest types floristically consistent between sites in central Amazonia? Do broad landform and geological features control site-specific edaphic and floristic variation and therefore obfuscate the floristic classification based on local topographical classes? Is model...

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Autor principal:	Figueiredo, Fernando Oliveira Gouvêa
Outros Autores:	Costa, Flávia Regina Capellotto, Nelson, Bruce Walker, Pimentel, Tânia Pena
Grau:	Artigo
Idioma:	English
Publicado em:	Journal of Vegetation Science 2020
Assuntos:	Bayesian Analysis Chemical Property Community Composition Ecological Modeling Floristics Forest Soil Fuzzy Mathematics Herb Lithology Monocotyledon Topographic Effect Tropical Forest Variance Analysis Vegetation Classification Vegetation Mapping Amazonia Zingiberales
Acesso em linha:	https://repositorio.inpa.gov.br/handle/1/17651

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spelling	oai:repositorio:1-17651 Validating forest types based on geological and land-form features in central Amazonia Figueiredo, Fernando Oliveira Gouvêa Costa, Flávia Regina Capellotto Nelson, Bruce Walker Pimentel, Tânia Pena Bayesian Analysis Chemical Property Community Composition Ecological Modeling Floristics Forest Soil Fuzzy Mathematics Herb Lithology Monocotyledon Topographic Effect Tropical Forest Variance Analysis Vegetation Classification Vegetation Mapping Amazonia Zingiberales Questions: Are topography-based forest types floristically consistent between sites in central Amazonia? Do broad landform and geological features control site-specific edaphic and floristic variation and therefore obfuscate the floristic classification based on local topographical classes? Is model-based clustering a useful tool for floristic classification? Location: Non-inundated forest of central Amazonia, north of the Amazon River. Methods: We analysed species presence-absence of a group of terrestrial monocot herbs (Zingiberales) in 123 plots (250 × 2 m) concentrated in three sites of non-inundated forests. Distances between plots were 1-140 km. Floristic patterns were extracted by dimensionality reduction using geodesic floristic distance. We applied a model-based cluster analysis (MC) coupled with the Bayesian information criterion to determine the best floristic classification. We used geometric and non-geometric internal evaluators to compare the performance of MC to the agglomerative hierarchical clustering method UPGMA. The floristic clusters were tested for differences in edaphic and topographic features. Landform-geological classes were defined based on geological maps and a digital elevation model. We used the Kappa index and ANOVA to evaluate the agreement between landform-geological classes, floristic clusters and environmental features. Results: The best MC solution found four floristic clusters. Differences in soil chemical properties, which were linked with lithological classes and broad land-form features, explained abrupt floristic changes and floristic differences between the same topographical habitats of different sites. Within poor soils, floristic classes defined by elevation along the soil catena (upland and valley forests) were fuzzy. Valley sandy forest was not floristically consistent across sites due to subtle edaphic variation. Using a non-geometric internal evaluator, MC coupled with geodesic floristic distance estimation performed better overall than UPGMA. Main conclusions: Geological classes defined by lithology and broad landform features control the major variation of edaphic and floristic patterns in central Amazonia. MC proved to be a useful method to classify and interpret floristic patterns. Revised vegetation maps that account for lithology, broad land-form features and edaphic conditions would therefore be a better proxy for regional floristic variation than the presently used simple classes based on position along the catena. © 2013 International Association for Vegetation Science. 2020-06-15T21:48:38Z 2020-06-15T21:48:38Z 2014 Artigo https://repositorio.inpa.gov.br/handle/1/17651 10.1111/jvs.12078 en Volume 25, Número 1, Pags. 198-212 Restrito Journal of Vegetation Science
institution	Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection	INPA-RI
language	English
topic	Bayesian Analysis Chemical Property Community Composition Ecological Modeling Floristics Forest Soil Fuzzy Mathematics Herb Lithology Monocotyledon Topographic Effect Tropical Forest Variance Analysis Vegetation Classification Vegetation Mapping Amazonia Zingiberales
spellingShingle	Bayesian Analysis Chemical Property Community Composition Ecological Modeling Floristics Forest Soil Fuzzy Mathematics Herb Lithology Monocotyledon Topographic Effect Tropical Forest Variance Analysis Vegetation Classification Vegetation Mapping Amazonia Zingiberales Figueiredo, Fernando Oliveira Gouvêa Validating forest types based on geological and land-form features in central Amazonia
topic_facet	Bayesian Analysis Chemical Property Community Composition Ecological Modeling Floristics Forest Soil Fuzzy Mathematics Herb Lithology Monocotyledon Topographic Effect Tropical Forest Variance Analysis Vegetation Classification Vegetation Mapping Amazonia Zingiberales
description	Questions: Are topography-based forest types floristically consistent between sites in central Amazonia? Do broad landform and geological features control site-specific edaphic and floristic variation and therefore obfuscate the floristic classification based on local topographical classes? Is model-based clustering a useful tool for floristic classification? Location: Non-inundated forest of central Amazonia, north of the Amazon River. Methods: We analysed species presence-absence of a group of terrestrial monocot herbs (Zingiberales) in 123 plots (250 × 2 m) concentrated in three sites of non-inundated forests. Distances between plots were 1-140 km. Floristic patterns were extracted by dimensionality reduction using geodesic floristic distance. We applied a model-based cluster analysis (MC) coupled with the Bayesian information criterion to determine the best floristic classification. We used geometric and non-geometric internal evaluators to compare the performance of MC to the agglomerative hierarchical clustering method UPGMA. The floristic clusters were tested for differences in edaphic and topographic features. Landform-geological classes were defined based on geological maps and a digital elevation model. We used the Kappa index and ANOVA to evaluate the agreement between landform-geological classes, floristic clusters and environmental features. Results: The best MC solution found four floristic clusters. Differences in soil chemical properties, which were linked with lithological classes and broad land-form features, explained abrupt floristic changes and floristic differences between the same topographical habitats of different sites. Within poor soils, floristic classes defined by elevation along the soil catena (upland and valley forests) were fuzzy. Valley sandy forest was not floristically consistent across sites due to subtle edaphic variation. Using a non-geometric internal evaluator, MC coupled with geodesic floristic distance estimation performed better overall than UPGMA. Main conclusions: Geological classes defined by lithology and broad landform features control the major variation of edaphic and floristic patterns in central Amazonia. MC proved to be a useful method to classify and interpret floristic patterns. Revised vegetation maps that account for lithology, broad land-form features and edaphic conditions would therefore be a better proxy for regional floristic variation than the presently used simple classes based on position along the catena. © 2013 International Association for Vegetation Science.
format	Artigo
author	Figueiredo, Fernando Oliveira Gouvêa
author2	Costa, Flávia Regina Capellotto Nelson, Bruce Walker Pimentel, Tânia Pena
author2Str	Costa, Flávia Regina Capellotto Nelson, Bruce Walker Pimentel, Tânia Pena
title	Validating forest types based on geological and land-form features in central Amazonia
title_short	Validating forest types based on geological and land-form features in central Amazonia
title_full	Validating forest types based on geological and land-form features in central Amazonia
title_fullStr	Validating forest types based on geological and land-form features in central Amazonia
title_full_unstemmed	Validating forest types based on geological and land-form features in central Amazonia
title_sort	validating forest types based on geological and land-form features in central amazonia
publisher	Journal of Vegetation Science
publishDate	2020
url	https://repositorio.inpa.gov.br/handle/1/17651
_version_	1787145273251725312
score	11.755432

Validating forest types based on geological and land-form features in central Amazonia

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