Drivers of biodiversity associated with rhodolith beds from euphotic and mesophotic zones: Insights for management and conservation
Ecologically important marine ecosystems should be identified and protected, as is the case of the poorly known SW Atlantic rhodolith beds. Understanding the main variables predicting biodiversity patterns is essential for determining priority areas for conservation. Here, we analyzed the macroinver...
Published in: | Perspectives in Ecology and Conservation |
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ftdoajarticles:oai:doaj.org/article:93f9c37162bb479b8a532366ba5955c3 2023-05-15T18:21:11+02:00 Drivers of biodiversity associated with rhodolith beds from euphotic and mesophotic zones: Insights for management and conservation Priscila de Cerqueira Veras Ivan Pierozzi-Jr. Jaqueline Barreto Lino Gilberto Menezes Amado-Filho André Resende de Senna Cinthya Simone Gomes Santos Rodrigo Leão de Moura Flávio Dias Passos Vinicius José Giglio Guilherme Henrique Pereira-Filho 2020-01-01T00:00:00Z https://doi.org/10.1016/j.pecon.2019.12.003 https://doaj.org/article/93f9c37162bb479b8a532366ba5955c3 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S2530064419301130 https://doaj.org/toc/2530-0644 2530-0644 doi:10.1016/j.pecon.2019.12.003 https://doaj.org/article/93f9c37162bb479b8a532366ba5955c3 Perspectives in Ecology and Conservation, Vol 18, Iss 1, Pp 37-43 (2020) Marine biodiversity Crustose coralline algae South Atlantic Ocean Reef systems Ecology QH540-549.5 General. Including nature conservation geographical distribution QH1-199.5 article 2020 ftdoajarticles https://doi.org/10.1016/j.pecon.2019.12.003 2022-12-31T12:22:49Z Ecologically important marine ecosystems should be identified and protected, as is the case of the poorly known SW Atlantic rhodolith beds. Understanding the main variables predicting biodiversity patterns is essential for determining priority areas for conservation. Here, we analyzed the macroinvertebrate associated with rhodoliths from euphotic and mesophotic zones from the Fernando de Noronha Archipelago investigating the drivers of diversity distribution in this habitat. Rhodoliths were sampled and vagile macroinvertebrates (>500 μm) were classified and quantified. We verified that estimated density of organisms associated with rhodoliths in the euphotic zone was 17 % greater than the mesophotic zone. The communities along depth zones show dissimilarities, suggesting that both environments are ecologically distinct. Comparisons with other ecosystems revealed that rhodolith beds have similar diversity of macroinvertebrates. We also found that four of the six tested variables predicted 85 % of the variability observed in the vagile macroinvertebrate community (i.e. average diameter, depth, biomass of macroalgae and density of rhodoliths in the bed). These variables should be taken into account in future research in modeling the biodiversity associated with the rhodolith beds. This is especially relevant in the SW Atlantic where the rhodolith beds seem to harbor an associated biodiversity greater than previous works had indicated, moreover, they represent one of the main ecosystems that are often superimposed with mining activities. Article in Journal/Newspaper South Atlantic Ocean Directory of Open Access Journals: DOAJ Articles Perspectives in Ecology and Conservation 18 1 37 43 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Marine biodiversity Crustose coralline algae South Atlantic Ocean Reef systems Ecology QH540-549.5 General. Including nature conservation geographical distribution QH1-199.5 |
spellingShingle |
Marine biodiversity Crustose coralline algae South Atlantic Ocean Reef systems Ecology QH540-549.5 General. Including nature conservation geographical distribution QH1-199.5 Priscila de Cerqueira Veras Ivan Pierozzi-Jr. Jaqueline Barreto Lino Gilberto Menezes Amado-Filho André Resende de Senna Cinthya Simone Gomes Santos Rodrigo Leão de Moura Flávio Dias Passos Vinicius José Giglio Guilherme Henrique Pereira-Filho Drivers of biodiversity associated with rhodolith beds from euphotic and mesophotic zones: Insights for management and conservation |
topic_facet |
Marine biodiversity Crustose coralline algae South Atlantic Ocean Reef systems Ecology QH540-549.5 General. Including nature conservation geographical distribution QH1-199.5 |
description |
Ecologically important marine ecosystems should be identified and protected, as is the case of the poorly known SW Atlantic rhodolith beds. Understanding the main variables predicting biodiversity patterns is essential for determining priority areas for conservation. Here, we analyzed the macroinvertebrate associated with rhodoliths from euphotic and mesophotic zones from the Fernando de Noronha Archipelago investigating the drivers of diversity distribution in this habitat. Rhodoliths were sampled and vagile macroinvertebrates (>500 μm) were classified and quantified. We verified that estimated density of organisms associated with rhodoliths in the euphotic zone was 17 % greater than the mesophotic zone. The communities along depth zones show dissimilarities, suggesting that both environments are ecologically distinct. Comparisons with other ecosystems revealed that rhodolith beds have similar diversity of macroinvertebrates. We also found that four of the six tested variables predicted 85 % of the variability observed in the vagile macroinvertebrate community (i.e. average diameter, depth, biomass of macroalgae and density of rhodoliths in the bed). These variables should be taken into account in future research in modeling the biodiversity associated with the rhodolith beds. This is especially relevant in the SW Atlantic where the rhodolith beds seem to harbor an associated biodiversity greater than previous works had indicated, moreover, they represent one of the main ecosystems that are often superimposed with mining activities. |
format |
Article in Journal/Newspaper |
author |
Priscila de Cerqueira Veras Ivan Pierozzi-Jr. Jaqueline Barreto Lino Gilberto Menezes Amado-Filho André Resende de Senna Cinthya Simone Gomes Santos Rodrigo Leão de Moura Flávio Dias Passos Vinicius José Giglio Guilherme Henrique Pereira-Filho |
author_facet |
Priscila de Cerqueira Veras Ivan Pierozzi-Jr. Jaqueline Barreto Lino Gilberto Menezes Amado-Filho André Resende de Senna Cinthya Simone Gomes Santos Rodrigo Leão de Moura Flávio Dias Passos Vinicius José Giglio Guilherme Henrique Pereira-Filho |
author_sort |
Priscila de Cerqueira Veras |
title |
Drivers of biodiversity associated with rhodolith beds from euphotic and mesophotic zones: Insights for management and conservation |
title_short |
Drivers of biodiversity associated with rhodolith beds from euphotic and mesophotic zones: Insights for management and conservation |
title_full |
Drivers of biodiversity associated with rhodolith beds from euphotic and mesophotic zones: Insights for management and conservation |
title_fullStr |
Drivers of biodiversity associated with rhodolith beds from euphotic and mesophotic zones: Insights for management and conservation |
title_full_unstemmed |
Drivers of biodiversity associated with rhodolith beds from euphotic and mesophotic zones: Insights for management and conservation |
title_sort |
drivers of biodiversity associated with rhodolith beds from euphotic and mesophotic zones: insights for management and conservation |
publisher |
Elsevier |
publishDate |
2020 |
url |
https://doi.org/10.1016/j.pecon.2019.12.003 https://doaj.org/article/93f9c37162bb479b8a532366ba5955c3 |
genre |
South Atlantic Ocean |
genre_facet |
South Atlantic Ocean |
op_source |
Perspectives in Ecology and Conservation, Vol 18, Iss 1, Pp 37-43 (2020) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S2530064419301130 https://doaj.org/toc/2530-0644 2530-0644 doi:10.1016/j.pecon.2019.12.003 https://doaj.org/article/93f9c37162bb479b8a532366ba5955c3 |
op_doi |
https://doi.org/10.1016/j.pecon.2019.12.003 |
container_title |
Perspectives in Ecology and Conservation |
container_volume |
18 |
container_issue |
1 |
container_start_page |
37 |
op_container_end_page |
43 |
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1766200331328290816 |