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...
Autores principales: | , , |
---|---|
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 |