Cargando…

Large‐scale distribution patterns of mangrove nematodes: A global meta‐analysis

Mangroves harbor diverse invertebrate communities, suggesting that macroecological distribution patterns of habitat‐forming foundation species drive the associated faunal distribution. Whether these are driven by mangrove biogeography is still ambiguous. For small‐bodied taxa, local factors and land...

Descripción completa

Detalles Bibliográficos
Autores principales: Brustolin, Marco C., Nagelkerken, Ivan, Fonseca, Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980601/
https://www.ncbi.nlm.nih.gov/pubmed/29876053
http://dx.doi.org/10.1002/ece3.3982
_version_ 1783327904331988992
author Brustolin, Marco C.
Nagelkerken, Ivan
Fonseca, Gustavo
author_facet Brustolin, Marco C.
Nagelkerken, Ivan
Fonseca, Gustavo
author_sort Brustolin, Marco C.
collection PubMed
description Mangroves harbor diverse invertebrate communities, suggesting that macroecological distribution patterns of habitat‐forming foundation species drive the associated faunal distribution. Whether these are driven by mangrove biogeography is still ambiguous. For small‐bodied taxa, local factors and landscape metrics might be as important as macroecology. We performed a meta‐analysis to address the following questions: (1) can richness of mangrove trees explain macroecological patterns of nematode richness? and (2) do local landscape attributes have equal or higher importance than biogeography in structuring nematode richness? Mangrove areas of Caribbean‐Southwest Atlantic, Western Indian, Central Indo‐Pacific, and Southwest Pacific biogeographic regions. We used random‐effects meta‐analyses based on natural logarithm of the response ratio (lnRR) to assess the importance of macroecology (i.e., biogeographic regions, latitude, longitude), local factors (i.e., aboveground mangrove biomass and tree richness), and landscape metrics (forest area and shape) in structuring nematode richness from 34 mangroves sites around the world. Latitude, mangrove forest area, and forest shape index explained 19% of the heterogeneity across studies. Richness was higher at low latitudes, closer to the equator. At local scales, richness increased slightly with landscape complexity and decreased with forest shape index. Our results contrast with biogeographic diversity patterns of mangrove‐associated taxa. Global‐scale nematode diversity may have evolved independently of mangrove tree richness, and diversity of small‐bodied metazoans is probably more closely driven by latitude and associated climates, rather than local, landscape, or global biogeographic patterns.
format Online
Article
Text
id pubmed-5980601
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-59806012018-06-06 Large‐scale distribution patterns of mangrove nematodes: A global meta‐analysis Brustolin, Marco C. Nagelkerken, Ivan Fonseca, Gustavo Ecol Evol Original Research Mangroves harbor diverse invertebrate communities, suggesting that macroecological distribution patterns of habitat‐forming foundation species drive the associated faunal distribution. Whether these are driven by mangrove biogeography is still ambiguous. For small‐bodied taxa, local factors and landscape metrics might be as important as macroecology. We performed a meta‐analysis to address the following questions: (1) can richness of mangrove trees explain macroecological patterns of nematode richness? and (2) do local landscape attributes have equal or higher importance than biogeography in structuring nematode richness? Mangrove areas of Caribbean‐Southwest Atlantic, Western Indian, Central Indo‐Pacific, and Southwest Pacific biogeographic regions. We used random‐effects meta‐analyses based on natural logarithm of the response ratio (lnRR) to assess the importance of macroecology (i.e., biogeographic regions, latitude, longitude), local factors (i.e., aboveground mangrove biomass and tree richness), and landscape metrics (forest area and shape) in structuring nematode richness from 34 mangroves sites around the world. Latitude, mangrove forest area, and forest shape index explained 19% of the heterogeneity across studies. Richness was higher at low latitudes, closer to the equator. At local scales, richness increased slightly with landscape complexity and decreased with forest shape index. Our results contrast with biogeographic diversity patterns of mangrove‐associated taxa. Global‐scale nematode diversity may have evolved independently of mangrove tree richness, and diversity of small‐bodied metazoans is probably more closely driven by latitude and associated climates, rather than local, landscape, or global biogeographic patterns. John Wiley and Sons Inc. 2018-04-16 /pmc/articles/PMC5980601/ /pubmed/29876053 http://dx.doi.org/10.1002/ece3.3982 Text en © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Brustolin, Marco C.
Nagelkerken, Ivan
Fonseca, Gustavo
Large‐scale distribution patterns of mangrove nematodes: A global meta‐analysis
title Large‐scale distribution patterns of mangrove nematodes: A global meta‐analysis
title_full Large‐scale distribution patterns of mangrove nematodes: A global meta‐analysis
title_fullStr Large‐scale distribution patterns of mangrove nematodes: A global meta‐analysis
title_full_unstemmed Large‐scale distribution patterns of mangrove nematodes: A global meta‐analysis
title_short Large‐scale distribution patterns of mangrove nematodes: A global meta‐analysis
title_sort large‐scale distribution patterns of mangrove nematodes: a global meta‐analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980601/
https://www.ncbi.nlm.nih.gov/pubmed/29876053
http://dx.doi.org/10.1002/ece3.3982
work_keys_str_mv AT brustolinmarcoc largescaledistributionpatternsofmangrovenematodesaglobalmetaanalysis
AT nagelkerkenivan largescaledistributionpatternsofmangrovenematodesaglobalmetaanalysis
AT fonsecagustavo largescaledistributionpatternsofmangrovenematodesaglobalmetaanalysis