Using species abundance distribution models and diversity indices for biogeographical analyses
cited By 1 International audience We examine whether Species Abundance Distribution models (SADs) and diversity indices can describe how species colonization status influences species community assembly on oceanic islands. Our hypothesis is that, because of the lack of source-sink dynamics at the ar...
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ftunivnantes:oai:HAL:hal-01587697v1 2023-05-15T17:36:18+02:00 Using species abundance distribution models and diversity indices for biogeographical analyses Fattorini, Simone Rigal, François Cardoso, Pedro Borges, Paulo Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux (IPREM) Université de Pau et des Pays de l'Adour (UPPA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS) 2016 https://hal.archives-ouvertes.fr/hal-01587697 https://doi.org/10.1016/j.actao.2015.11.003 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.actao.2015.11.003 hal-01587697 https://hal.archives-ouvertes.fr/hal-01587697 doi:10.1016/j.actao.2015.11.003 ISSN: 1146-609X Acta Oecologica https://hal.archives-ouvertes.fr/hal-01587697 Acta Oecologica, Elsevier, 2016, 70, pp.21-28. ⟨10.1016/j.actao.2015.11.003⟩ [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2016 ftunivnantes https://doi.org/10.1016/j.actao.2015.11.003 2022-11-09T02:01:44Z cited By 1 International audience We examine whether Species Abundance Distribution models (SADs) and diversity indices can describe how species colonization status influences species community assembly on oceanic islands. Our hypothesis is that, because of the lack of source-sink dynamics at the archipelago scale, Single Island Endemics (SIEs), i.e. endemic species restricted to only one island, should be represented by few rare species and consequently have abundance patterns that differ from those of more widespread species. To test our hypothesis, we used arthropod data from the Azorean archipelago (North Atlantic). We divided the species into three colonization categories: SIEs, archipelagic endemics (AZEs, present in at least two islands) and native non-endemics (NATs). For each category, we modelled rank-abundance plots using both the geometric series and the Gambin model, a measure of distributional amplitude. We also calculated Shannon entropy and Buzas and Gibson's evenness. We show that the slopes of the regression lines modelling SADs were significantly higher for SIEs, which indicates a relative predominance of a few highly abundant species and a lack of rare species, which also depresses diversity indices. This may be a consequence of two factors: (i) some forest specialist SIEs may be at advantage over other, less adapted species; (ii) the entire populations of SIEs are by definition concentrated on a single island, without possibility for inter-island source-sink dynamics; hence all populations must have a minimum number of individuals to survive natural, often unpredictable, fluctuations. These findings are supported by higher values of the α parameter of the Gambin mode for SIEs. In contrast, AZEs and NATs had lower regression slopes, lower α but higher diversity indices, resulting from their widespread distribution over several islands. We conclude that these differences in the SAD models and diversity indices demonstrate that the study of these metrics is useful for biogeographical ... Article in Journal/Newspaper North Atlantic Single Island Université de Nantes: HAL-UNIV-NANTES Single Island ENVELOPE(68.667,68.667,-69.817,-69.817) Acta Oecologica 70 21 28 |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology Fattorini, Simone Rigal, François Cardoso, Pedro Borges, Paulo Using species abundance distribution models and diversity indices for biogeographical analyses |
topic_facet |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
cited By 1 International audience We examine whether Species Abundance Distribution models (SADs) and diversity indices can describe how species colonization status influences species community assembly on oceanic islands. Our hypothesis is that, because of the lack of source-sink dynamics at the archipelago scale, Single Island Endemics (SIEs), i.e. endemic species restricted to only one island, should be represented by few rare species and consequently have abundance patterns that differ from those of more widespread species. To test our hypothesis, we used arthropod data from the Azorean archipelago (North Atlantic). We divided the species into three colonization categories: SIEs, archipelagic endemics (AZEs, present in at least two islands) and native non-endemics (NATs). For each category, we modelled rank-abundance plots using both the geometric series and the Gambin model, a measure of distributional amplitude. We also calculated Shannon entropy and Buzas and Gibson's evenness. We show that the slopes of the regression lines modelling SADs were significantly higher for SIEs, which indicates a relative predominance of a few highly abundant species and a lack of rare species, which also depresses diversity indices. This may be a consequence of two factors: (i) some forest specialist SIEs may be at advantage over other, less adapted species; (ii) the entire populations of SIEs are by definition concentrated on a single island, without possibility for inter-island source-sink dynamics; hence all populations must have a minimum number of individuals to survive natural, often unpredictable, fluctuations. These findings are supported by higher values of the α parameter of the Gambin mode for SIEs. In contrast, AZEs and NATs had lower regression slopes, lower α but higher diversity indices, resulting from their widespread distribution over several islands. We conclude that these differences in the SAD models and diversity indices demonstrate that the study of these metrics is useful for biogeographical ... |
author2 |
Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux (IPREM) Université de Pau et des Pays de l'Adour (UPPA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Fattorini, Simone Rigal, François Cardoso, Pedro Borges, Paulo |
author_facet |
Fattorini, Simone Rigal, François Cardoso, Pedro Borges, Paulo |
author_sort |
Fattorini, Simone |
title |
Using species abundance distribution models and diversity indices for biogeographical analyses |
title_short |
Using species abundance distribution models and diversity indices for biogeographical analyses |
title_full |
Using species abundance distribution models and diversity indices for biogeographical analyses |
title_fullStr |
Using species abundance distribution models and diversity indices for biogeographical analyses |
title_full_unstemmed |
Using species abundance distribution models and diversity indices for biogeographical analyses |
title_sort |
using species abundance distribution models and diversity indices for biogeographical analyses |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.archives-ouvertes.fr/hal-01587697 https://doi.org/10.1016/j.actao.2015.11.003 |
long_lat |
ENVELOPE(68.667,68.667,-69.817,-69.817) |
geographic |
Single Island |
geographic_facet |
Single Island |
genre |
North Atlantic Single Island |
genre_facet |
North Atlantic Single Island |
op_source |
ISSN: 1146-609X Acta Oecologica https://hal.archives-ouvertes.fr/hal-01587697 Acta Oecologica, Elsevier, 2016, 70, pp.21-28. ⟨10.1016/j.actao.2015.11.003⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.actao.2015.11.003 hal-01587697 https://hal.archives-ouvertes.fr/hal-01587697 doi:10.1016/j.actao.2015.11.003 |
op_doi |
https://doi.org/10.1016/j.actao.2015.11.003 |
container_title |
Acta Oecologica |
container_volume |
70 |
container_start_page |
21 |
op_container_end_page |
28 |
_version_ |
1766135741323149312 |