Cross-Scale Variation in Biodiversity-Environment Links Illustrated by Coastal Sandflat Communities.
Spatial variation in the composition of communities is the product of many biotic and environmental interactions. A neglected factor in the analysis of community distribution patterns is the multi-scale nature of the data, which has implications for understanding ecological processes and the develop...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0142411 |
| _version_ | 1818590213852626944 |
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| author | Casper Kraan Carsten F Dormann Barry L Greenfield Simon F Thrush |
| author_facet | Casper Kraan Carsten F Dormann Barry L Greenfield Simon F Thrush |
| author_sort | Casper Kraan |
| collection | DOAJ |
| description | Spatial variation in the composition of communities is the product of many biotic and environmental interactions. A neglected factor in the analysis of community distribution patterns is the multi-scale nature of the data, which has implications for understanding ecological processes and the development of conservation and environmental management practice. Drawing on recently established multivariate spatial analyses, we investigate whether including relationships between spatial structure and abiotic variables enable us to better discern patterns of species and communities across scales. Data comprised 1200 macrozoobenthic samples collected over an array of distances (30 cm to 1 km) in three New Zealand harbours, as well as commonly used abiotic variables, such as sediment characteristics and chlorophyll a concentrations, measured at the same scales. Moran's eigenvector mapping was used to extract spatial scales at which communities were structured. Benthic communities, representing primarily bivalves, polychaetes and crustaceans, were spatially structured at four spatial scales, i.e. >100 m, 50-100 m, 50-15 m, and < 15 m. A broad selection of abiotic variables contributed to the large-scale variation, whereas a more limited set explained part of the fine-scale community structure. Across all scales, less than 30% of the variation in spatial structure was captured by our analysis. The large number of species (48) making up the 10 highest species scores based on redundancy analyses illustrate the variability of species-scale associations. Our results emphasise that abiotic variables and biodiversity are related at all scales investigated and stress the importance of assessing the relationship between environmental variables and the abundance and distribution of biological assemblages across a range of different scales. |
| first_indexed | 2024-12-16T09:52:59Z |
| format | Article |
| id | doaj.art-36f41b3394e847578846fc08d85d8c28 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-16T09:52:59Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-36f41b3394e847578846fc08d85d8c282022-12-21T22:36:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011011e014241110.1371/journal.pone.0142411Cross-Scale Variation in Biodiversity-Environment Links Illustrated by Coastal Sandflat Communities.Casper KraanCarsten F DormannBarry L GreenfieldSimon F ThrushSpatial variation in the composition of communities is the product of many biotic and environmental interactions. A neglected factor in the analysis of community distribution patterns is the multi-scale nature of the data, which has implications for understanding ecological processes and the development of conservation and environmental management practice. Drawing on recently established multivariate spatial analyses, we investigate whether including relationships between spatial structure and abiotic variables enable us to better discern patterns of species and communities across scales. Data comprised 1200 macrozoobenthic samples collected over an array of distances (30 cm to 1 km) in three New Zealand harbours, as well as commonly used abiotic variables, such as sediment characteristics and chlorophyll a concentrations, measured at the same scales. Moran's eigenvector mapping was used to extract spatial scales at which communities were structured. Benthic communities, representing primarily bivalves, polychaetes and crustaceans, were spatially structured at four spatial scales, i.e. >100 m, 50-100 m, 50-15 m, and < 15 m. A broad selection of abiotic variables contributed to the large-scale variation, whereas a more limited set explained part of the fine-scale community structure. Across all scales, less than 30% of the variation in spatial structure was captured by our analysis. The large number of species (48) making up the 10 highest species scores based on redundancy analyses illustrate the variability of species-scale associations. Our results emphasise that abiotic variables and biodiversity are related at all scales investigated and stress the importance of assessing the relationship between environmental variables and the abundance and distribution of biological assemblages across a range of different scales.https://doi.org/10.1371/journal.pone.0142411 |
| spellingShingle | Casper Kraan Carsten F Dormann Barry L Greenfield Simon F Thrush Cross-Scale Variation in Biodiversity-Environment Links Illustrated by Coastal Sandflat Communities. PLoS ONE |
| title | Cross-Scale Variation in Biodiversity-Environment Links Illustrated by Coastal Sandflat Communities. |
| title_full | Cross-Scale Variation in Biodiversity-Environment Links Illustrated by Coastal Sandflat Communities. |
| title_fullStr | Cross-Scale Variation in Biodiversity-Environment Links Illustrated by Coastal Sandflat Communities. |
| title_full_unstemmed | Cross-Scale Variation in Biodiversity-Environment Links Illustrated by Coastal Sandflat Communities. |
| title_short | Cross-Scale Variation in Biodiversity-Environment Links Illustrated by Coastal Sandflat Communities. |
| title_sort | cross scale variation in biodiversity environment links illustrated by coastal sandflat communities |
| url | https://doi.org/10.1371/journal.pone.0142411 |
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