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Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models
Accurate establishment of baseline conditions is critical to successful management and habitat restoration. We demonstrate the ability to robustly estimate historical fish community composition and assess the current status of the urbanized Barton Creek watershed in central Texas, U.S.A. Fish specie...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3178614/ https://www.ncbi.nlm.nih.gov/pubmed/21966438 http://dx.doi.org/10.1371/journal.pone.0025145 |
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author | Labay, Ben Cohen, Adam E. Sissel, Blake Hendrickson, Dean A. Martin, F. Douglas Sarkar, Sahotra |
author_facet | Labay, Ben Cohen, Adam E. Sissel, Blake Hendrickson, Dean A. Martin, F. Douglas Sarkar, Sahotra |
author_sort | Labay, Ben |
collection | PubMed |
description | Accurate establishment of baseline conditions is critical to successful management and habitat restoration. We demonstrate the ability to robustly estimate historical fish community composition and assess the current status of the urbanized Barton Creek watershed in central Texas, U.S.A. Fish species were surveyed in 2008 and the resulting data compared to three sources of fish occurrence information: (i) historical records from a museum specimen database and literature searches; (ii) a nearly identical survey conducted 15 years earlier; and (iii) a modeled historical community constructed with species distribution models (SDMs). This holistic approach, and especially the application of SDMs, allowed us to discover that the fish community in Barton Creek was more diverse than the historical data and survey methods alone indicated. Sixteen native species with high modeled probability of occurrence within the watershed were not found in the 2008 survey, seven of these were not found in either survey or in any of the historical collection records. Our approach allowed us to more rigorously establish the true baseline for the pre-development fish fauna and then to more accurately assess trends and develop hypotheses regarding factors driving current fish community composition to better inform management decisions and future restoration efforts. Smaller, urbanized freshwater systems, like Barton Creek, typically have a relatively poor historical biodiversity inventory coupled with long histories of alteration, and thus there is a propensity for land managers and researchers to apply inaccurate baseline standards. Our methods provide a way around that limitation by using SDMs derived from larger and richer biodiversity databases of a broader geographic scope. Broadly applied, we propose that this technique has potential to overcome limitations of popular bioassessment metrics (e.g., IBI) to become a versatile and robust management tool for determining status of freshwater biotic communities. |
format | Online Article Text |
id | pubmed-3178614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31786142011-09-30 Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models Labay, Ben Cohen, Adam E. Sissel, Blake Hendrickson, Dean A. Martin, F. Douglas Sarkar, Sahotra PLoS One Research Article Accurate establishment of baseline conditions is critical to successful management and habitat restoration. We demonstrate the ability to robustly estimate historical fish community composition and assess the current status of the urbanized Barton Creek watershed in central Texas, U.S.A. Fish species were surveyed in 2008 and the resulting data compared to three sources of fish occurrence information: (i) historical records from a museum specimen database and literature searches; (ii) a nearly identical survey conducted 15 years earlier; and (iii) a modeled historical community constructed with species distribution models (SDMs). This holistic approach, and especially the application of SDMs, allowed us to discover that the fish community in Barton Creek was more diverse than the historical data and survey methods alone indicated. Sixteen native species with high modeled probability of occurrence within the watershed were not found in the 2008 survey, seven of these were not found in either survey or in any of the historical collection records. Our approach allowed us to more rigorously establish the true baseline for the pre-development fish fauna and then to more accurately assess trends and develop hypotheses regarding factors driving current fish community composition to better inform management decisions and future restoration efforts. Smaller, urbanized freshwater systems, like Barton Creek, typically have a relatively poor historical biodiversity inventory coupled with long histories of alteration, and thus there is a propensity for land managers and researchers to apply inaccurate baseline standards. Our methods provide a way around that limitation by using SDMs derived from larger and richer biodiversity databases of a broader geographic scope. Broadly applied, we propose that this technique has potential to overcome limitations of popular bioassessment metrics (e.g., IBI) to become a versatile and robust management tool for determining status of freshwater biotic communities. Public Library of Science 2011-09-22 /pmc/articles/PMC3178614/ /pubmed/21966438 http://dx.doi.org/10.1371/journal.pone.0025145 Text en Labay 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Labay, Ben Cohen, Adam E. Sissel, Blake Hendrickson, Dean A. Martin, F. Douglas Sarkar, Sahotra Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models |
title | Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models |
title_full | Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models |
title_fullStr | Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models |
title_full_unstemmed | Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models |
title_short | Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models |
title_sort | assessing historical fish community composition using surveys, historical collection data, and species distribution models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3178614/ https://www.ncbi.nlm.nih.gov/pubmed/21966438 http://dx.doi.org/10.1371/journal.pone.0025145 |
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