Data from: Checkerboard score-area relationships reveal spatial scales of plant community structure
Identifying the spatial scale at which particular mechanisms influence plant community assembly is crucial to understanding the mechanisms structuring communities. It has long been recognized that many elements of community structure are sensitive to area; however the majority of studies examining p...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:99314 2023-07-02T03:31:34+02:00 Data from: Checkerboard score-area relationships reveal spatial scales of plant community structure McNickle, Gordon G. Lamb, Eric G. Lavender, Mike Cahill Jr., James F. Schamp, Brandon S. Siciliano, Steven D. Condit, Richard Hubbell, Stephen P. Baltzer, Jennifer L. 2017-10-06T17:10:39.000+02:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-7n-3bz5 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:99314 unknown doi:10.5061/dryad.5f876/1 doi:10.5061/dryad.5f876/2 doi:10.5061/dryad.5f876/3 doi:10.5061/dryad.5f876/4 doi:10.5061/dryad.5f876/5 doi:10.5061/dryad.5f876/6 doi:10.1111/oik.04620 http://nbn-resolving.org/urn:nbn:nl:ui:13-7n-3bz5 doi:10.5061/dryad.5f876 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:99314 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2017 ftdans https://doi.org/10.5061/dryad.5f876/110.5061/dryad.5f876/210.5061/dryad.5f876/310.5061/dryad.5f876/410.5061/dryad.5f876/510.5061/dryad.5f876/610.1111/oik.0462010.5061/dryad.5f876 2023-06-13T13:25:34Z Identifying the spatial scale at which particular mechanisms influence plant community assembly is crucial to understanding the mechanisms structuring communities. It has long been recognized that many elements of community structure are sensitive to area; however the majority of studies examining patterns of community structure use a single relatively small sampling area. As different assembly mechanisms likely cause patterns at different scales we investigate how plant species co-occurrence patterns change with sampling unit scale. We use the checkerboard score as an index of species segregation, and examine species C-score-sampling area patterns in two ways. First, we show via numerical simulation that the C-score-area relationship is necessarily hump shaped with respect to sample plot area. Second we examine empirical C-score-area relationships in arctic tundra, grassland, boreal forest, and tropical forest communities. The minimum sampling scale where species co-occurrence patterns were significantly different from the null model expectation was at 0.1 m2 in the tundra, 0.2 m2 in grassland, and 0.2 Ha in both the boreal and tropical forests. Species were most segregated in their co-occurrence (maximum C-score) at 0.3 m2 in the tundra (0.54 m by 0.54 m quadrats), 1.5 m2 in the grassland (1.2 by 1.2 m quadrats), 0.26 Ha in the tropical forest (71 m by 71 m quadrats), and a maximum was not reached at the largest sampling scale of 1.4 Ha in the boreal forest. The most important finding is that the dominant scales of community structure in these systems are large relative to plant body size, and hence we infer that the dominant mechanisms structuring these communities must be at similarly large scales. This provides a method for identifying the spatial scales at which communities are maximally structured; ecologists can use this information to develop hypotheses and experiments to test scale-specific mechanisms that structure communities. Other/Unknown Material Arctic Tundra Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Arctic |
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Open Polar |
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Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
op_collection_id |
ftdans |
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unknown |
topic |
Life sciences medicine and health care |
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Life sciences medicine and health care McNickle, Gordon G. Lamb, Eric G. Lavender, Mike Cahill Jr., James F. Schamp, Brandon S. Siciliano, Steven D. Condit, Richard Hubbell, Stephen P. Baltzer, Jennifer L. Data from: Checkerboard score-area relationships reveal spatial scales of plant community structure |
topic_facet |
Life sciences medicine and health care |
description |
Identifying the spatial scale at which particular mechanisms influence plant community assembly is crucial to understanding the mechanisms structuring communities. It has long been recognized that many elements of community structure are sensitive to area; however the majority of studies examining patterns of community structure use a single relatively small sampling area. As different assembly mechanisms likely cause patterns at different scales we investigate how plant species co-occurrence patterns change with sampling unit scale. We use the checkerboard score as an index of species segregation, and examine species C-score-sampling area patterns in two ways. First, we show via numerical simulation that the C-score-area relationship is necessarily hump shaped with respect to sample plot area. Second we examine empirical C-score-area relationships in arctic tundra, grassland, boreal forest, and tropical forest communities. The minimum sampling scale where species co-occurrence patterns were significantly different from the null model expectation was at 0.1 m2 in the tundra, 0.2 m2 in grassland, and 0.2 Ha in both the boreal and tropical forests. Species were most segregated in their co-occurrence (maximum C-score) at 0.3 m2 in the tundra (0.54 m by 0.54 m quadrats), 1.5 m2 in the grassland (1.2 by 1.2 m quadrats), 0.26 Ha in the tropical forest (71 m by 71 m quadrats), and a maximum was not reached at the largest sampling scale of 1.4 Ha in the boreal forest. The most important finding is that the dominant scales of community structure in these systems are large relative to plant body size, and hence we infer that the dominant mechanisms structuring these communities must be at similarly large scales. This provides a method for identifying the spatial scales at which communities are maximally structured; ecologists can use this information to develop hypotheses and experiments to test scale-specific mechanisms that structure communities. |
author |
McNickle, Gordon G. Lamb, Eric G. Lavender, Mike Cahill Jr., James F. Schamp, Brandon S. Siciliano, Steven D. Condit, Richard Hubbell, Stephen P. Baltzer, Jennifer L. |
author_facet |
McNickle, Gordon G. Lamb, Eric G. Lavender, Mike Cahill Jr., James F. Schamp, Brandon S. Siciliano, Steven D. Condit, Richard Hubbell, Stephen P. Baltzer, Jennifer L. |
author_sort |
McNickle, Gordon G. |
title |
Data from: Checkerboard score-area relationships reveal spatial scales of plant community structure |
title_short |
Data from: Checkerboard score-area relationships reveal spatial scales of plant community structure |
title_full |
Data from: Checkerboard score-area relationships reveal spatial scales of plant community structure |
title_fullStr |
Data from: Checkerboard score-area relationships reveal spatial scales of plant community structure |
title_full_unstemmed |
Data from: Checkerboard score-area relationships reveal spatial scales of plant community structure |
title_sort |
data from: checkerboard score-area relationships reveal spatial scales of plant community structure |
publishDate |
2017 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-7n-3bz5 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:99314 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_relation |
doi:10.5061/dryad.5f876/1 doi:10.5061/dryad.5f876/2 doi:10.5061/dryad.5f876/3 doi:10.5061/dryad.5f876/4 doi:10.5061/dryad.5f876/5 doi:10.5061/dryad.5f876/6 doi:10.1111/oik.04620 http://nbn-resolving.org/urn:nbn:nl:ui:13-7n-3bz5 doi:10.5061/dryad.5f876 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:99314 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.5f876/110.5061/dryad.5f876/210.5061/dryad.5f876/310.5061/dryad.5f876/410.5061/dryad.5f876/510.5061/dryad.5f876/610.1111/oik.0462010.5061/dryad.5f876 |
_version_ |
1770270937664454656 |