Exploration of Trends in Interspecific Abundance-Occupancy Relationships Using Empirically Derived Simulated Communities
The interspecific abundance-occupancy relationship (AOR) is a widely used tool that describes patterns of habitat utilization and, when evaluated over time, may be used to identify large-scale changes in community structure. Our primary goal for this research was to validate the utility of AORs as t...
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ftpubmed:oai:pubmedcentral.nih.gov:5268422 2023-05-15T17:45:44+02:00 Exploration of Trends in Interspecific Abundance-Occupancy Relationships Using Empirically Derived Simulated Communities Martinez, Christopher M. Duplisea, Daniel E. Cerrato, Robert M. Frisk, Michael G. 2017-01-26 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268422/ http://www.ncbi.nlm.nih.gov/pubmed/28125670 https://doi.org/10.1371/journal.pone.0170816 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268422/ http://www.ncbi.nlm.nih.gov/pubmed/28125670 http://dx.doi.org/10.1371/journal.pone.0170816 © 2017 Martinez et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY Research Article Text 2017 ftpubmed https://doi.org/10.1371/journal.pone.0170816 2017-02-12T01:05:48Z The interspecific abundance-occupancy relationship (AOR) is a widely used tool that describes patterns of habitat utilization and, when evaluated over time, may be used to identify large-scale changes in community structure. Our primary goal for this research was to validate the utility of AORs as temporal indicators of community state. We used long-term survey data in four regions of the northwest Atlantic coastal shelf (NWACS) to estimate the diversity of spatial behaviors in each community, which we modeled with negative binomial (NB) distributions. NB parameters were used to generate time series data for simulated communities, from which AORs were then estimated and evaluated for temporal trends. We found that AORs from simulated communities were similar in year-to-year variation to empirical relationships. In order to further understand the role of spatial diversity in the generation of AOR trends, we did additional simulations where NB parameters were manually manipulated. In one instance, we ran simulations while holding species’ parameters constant over time. This treatment effectively removed trends, suggesting that temporal change in community relationships was the result of genuine variation in intraspecific spatial use. In another set of simulations, we conducted a case study to evaluate the impact of a select group of schooling and spatially aggregating species on an especially rapid shift in AORs in the Gulf of Maine from 1973 to 1983. Removals of these species reduced the magnitudes of most trends, demonstrating their importance to observed community changes. This research directly links variation in AORs to distribution and density-related processes and provides a potentially powerful framework to identify community-level change and to test ecological and mechanistic hypotheses. Text Northwest Atlantic PubMed Central (PMC) PLOS ONE 12 1 e0170816 |
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Research Article Martinez, Christopher M. Duplisea, Daniel E. Cerrato, Robert M. Frisk, Michael G. Exploration of Trends in Interspecific Abundance-Occupancy Relationships Using Empirically Derived Simulated Communities |
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Research Article |
description |
The interspecific abundance-occupancy relationship (AOR) is a widely used tool that describes patterns of habitat utilization and, when evaluated over time, may be used to identify large-scale changes in community structure. Our primary goal for this research was to validate the utility of AORs as temporal indicators of community state. We used long-term survey data in four regions of the northwest Atlantic coastal shelf (NWACS) to estimate the diversity of spatial behaviors in each community, which we modeled with negative binomial (NB) distributions. NB parameters were used to generate time series data for simulated communities, from which AORs were then estimated and evaluated for temporal trends. We found that AORs from simulated communities were similar in year-to-year variation to empirical relationships. In order to further understand the role of spatial diversity in the generation of AOR trends, we did additional simulations where NB parameters were manually manipulated. In one instance, we ran simulations while holding species’ parameters constant over time. This treatment effectively removed trends, suggesting that temporal change in community relationships was the result of genuine variation in intraspecific spatial use. In another set of simulations, we conducted a case study to evaluate the impact of a select group of schooling and spatially aggregating species on an especially rapid shift in AORs in the Gulf of Maine from 1973 to 1983. Removals of these species reduced the magnitudes of most trends, demonstrating their importance to observed community changes. This research directly links variation in AORs to distribution and density-related processes and provides a potentially powerful framework to identify community-level change and to test ecological and mechanistic hypotheses. |
format |
Text |
author |
Martinez, Christopher M. Duplisea, Daniel E. Cerrato, Robert M. Frisk, Michael G. |
author_facet |
Martinez, Christopher M. Duplisea, Daniel E. Cerrato, Robert M. Frisk, Michael G. |
author_sort |
Martinez, Christopher M. |
title |
Exploration of Trends in Interspecific Abundance-Occupancy Relationships Using Empirically Derived Simulated Communities |
title_short |
Exploration of Trends in Interspecific Abundance-Occupancy Relationships Using Empirically Derived Simulated Communities |
title_full |
Exploration of Trends in Interspecific Abundance-Occupancy Relationships Using Empirically Derived Simulated Communities |
title_fullStr |
Exploration of Trends in Interspecific Abundance-Occupancy Relationships Using Empirically Derived Simulated Communities |
title_full_unstemmed |
Exploration of Trends in Interspecific Abundance-Occupancy Relationships Using Empirically Derived Simulated Communities |
title_sort |
exploration of trends in interspecific abundance-occupancy relationships using empirically derived simulated communities |
publisher |
Public Library of Science |
publishDate |
2017 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268422/ http://www.ncbi.nlm.nih.gov/pubmed/28125670 https://doi.org/10.1371/journal.pone.0170816 |
genre |
Northwest Atlantic |
genre_facet |
Northwest Atlantic |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268422/ http://www.ncbi.nlm.nih.gov/pubmed/28125670 http://dx.doi.org/10.1371/journal.pone.0170816 |
op_rights |
© 2017 Martinez et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0170816 |
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PLOS ONE |
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12 |
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e0170816 |
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