Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales
| dc.contributor.author | Benedetti-Cecchi, Lisandro | en_ZA |
| dc.contributor.author | Iken, Katrin | en_ZA |
| dc.contributor.author | Konar, Brenda | en_ZA |
| dc.contributor.author | Cruz-Motta, Juan | en_ZA |
| dc.contributor.author | Knowlton, Ann | en_ZA |
| dc.contributor.author | Pohle, Gerhard | en_ZA |
| dc.contributor.author | Castelli, Alberto | en_ZA |
| dc.contributor.author | Tamburello, Laura | en_ZA |
| dc.contributor.author | Mead, Angela | en_ZA |
| dc.contributor.author | Trott, Tom | en_ZA |
| dc.date.accessioned | 2015-11-16T04:14:16Z | |
| dc.date.available | 2015-11-16T04:14:16Z | |
| dc.date.issued | 2010 | en_ZA |
| dc.description.abstract | This study examined spatial relationships between rocky shore polychaete assemblages and environmental variables over broad geographical scales, using a database compiled within the Census of Marine Life NaGISA (Natural Geography In Shore Areas) research program. The database consisted of abundance measures of polychaetes classified at the genus and family levels for 74 and 93 sites, respectively, from nine geographic regions. We tested the general hypothesis that the set of environmental variables emerging as potentially important drivers of variation in polychaete assemblages depend on the spatial scale considered. Through Moran's eigenvector maps we indentified three submodels reflecting spatial relationships among sampling sites at intercontinental (>10000 km), continental (1000-5000 km) and regional (20-500 km) scales. Using redundancy analysis we found that most environmental variables contributed to explain a large and significant proportion of variation of the intercontinental submodel both for genera and families (54% and 53%, respectively). A subset of these variables, organic pollution, inorganic pollution, primary productivity and nutrient contamination was also significantly related to spatial variation at the continental scale, explaining 25% and 32% of the variance at the genus and family levels, respectively. These variables should therefore be preferably considered when forecasting large-scale spatial patterns of polychaete assemblages in relation to ongoing or predicted changes in environmental conditions. None of the variables considered in this study were significantly related to the regional submodel. | en_ZA |
| dc.identifier.apacitation | Benedetti-Cecchi, L., Iken, K., Konar, B., Cruz-Motta, J., Knowlton, A., Pohle, G., ... Trott, T. (2010). Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales. <i>PLoS One</i>, http://hdl.handle.net/11427/15035 | en_ZA |
| dc.identifier.chicagocitation | Benedetti-Cecchi, Lisandro, Katrin Iken, Brenda Konar, Juan Cruz-Motta, Ann Knowlton, Gerhard Pohle, Alberto Castelli, Laura Tamburello, Angela Mead, and Tom Trott "Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales." <i>PLoS One</i> (2010) http://hdl.handle.net/11427/15035 | en_ZA |
| dc.identifier.citation | Benedetti-Cecchi, L., Iken, K., Konar, B., Cruz-Motta, J., Knowlton, A., Pohle, G., ... & Maggi, E. (2010). Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales. PloS one, 5(9), e12946. doi:10.1371/journal.pone.0012946 | en_ZA |
| dc.identifier.ris | TY - Journal Article AU - Benedetti-Cecchi, Lisandro AU - Iken, Katrin AU - Konar, Brenda AU - Cruz-Motta, Juan AU - Knowlton, Ann AU - Pohle, Gerhard AU - Castelli, Alberto AU - Tamburello, Laura AU - Mead, Angela AU - Trott, Tom AB - This study examined spatial relationships between rocky shore polychaete assemblages and environmental variables over broad geographical scales, using a database compiled within the Census of Marine Life NaGISA (Natural Geography In Shore Areas) research program. The database consisted of abundance measures of polychaetes classified at the genus and family levels for 74 and 93 sites, respectively, from nine geographic regions. We tested the general hypothesis that the set of environmental variables emerging as potentially important drivers of variation in polychaete assemblages depend on the spatial scale considered. Through Moran's eigenvector maps we indentified three submodels reflecting spatial relationships among sampling sites at intercontinental (>10000 km), continental (1000-5000 km) and regional (20-500 km) scales. Using redundancy analysis we found that most environmental variables contributed to explain a large and significant proportion of variation of the intercontinental submodel both for genera and families (54% and 53%, respectively). A subset of these variables, organic pollution, inorganic pollution, primary productivity and nutrient contamination was also significantly related to spatial variation at the continental scale, explaining 25% and 32% of the variance at the genus and family levels, respectively. These variables should therefore be preferably considered when forecasting large-scale spatial patterns of polychaete assemblages in relation to ongoing or predicted changes in environmental conditions. None of the variables considered in this study were significantly related to the regional submodel. DA - 2010 DB - OpenUCT DO - 10.1371/journal.pone.0012946 DP - University of Cape Town J1 - PLoS One LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 T1 - Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales TI - Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales UR - http://hdl.handle.net/11427/15035 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/15035 | |
| dc.identifier.uri | http://dx.doi.org/10.1371/journal.pone.0012946 | |
| dc.identifier.vancouvercitation | Benedetti-Cecchi L, Iken K, Konar B, Cruz-Motta J, Knowlton A, Pohle G, et al. Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales. PLoS One. 2010; http://hdl.handle.net/11427/15035. | en_ZA |
| dc.language.iso | eng | en_ZA |
| dc.publisher | Public Library of Science | en_ZA |
| dc.publisher.department | Department of Biological Sciences | en_ZA |
| dc.publisher.faculty | Faculty of Science | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| dc.rights | This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | en_ZA |
| dc.rights.holder | © 2010 Benedetti-Cecchi et al | en_ZA |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0 | en_ZA |
| dc.source | PLoS One | en_ZA |
| dc.source.uri | http://journals.plos.org/plosone | en_ZA |
| dc.subject.other | Eigenvectors | en_ZA |
| dc.subject.other | Pollution | en_ZA |
| dc.subject.other | Brazil | en_ZA |
| dc.subject.other | Environmental geography | en_ZA |
| dc.subject.other | Spatial and landscape ecology | en_ZA |
| dc.subject.other | Marine ecology | en_ZA |
| dc.subject.other | Argentina | en_ZA |
| dc.subject.other | Colombia | en_ZA |
| dc.title | Spatial relationships between polychaete assemblages and environmental variables over broad geographical scales | en_ZA |
| dc.type | Journal Article | en_ZA |
| uct.type.filetype | Text | |
| uct.type.filetype | Image | |
| uct.type.publication | Research | en_ZA |
| uct.type.resource | Article | en_ZA |
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