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Visibility from Roads Predict the Distribution of Invasive Fishes in Agricultural Ponds

Propagule pressure and habitat characteristics are important factors used to predict the distribution of invasive alien species. For species exhibiting strong propagule pressure because of human-mediated introduction of species, indicators of introduction potential must represent the behavioral char...

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Autores principales: Kizuka, Toshikazu, Akasaka, Munemitsu, Kadoya, Taku, Takamura, Noriko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055726/
https://www.ncbi.nlm.nih.gov/pubmed/24923423
http://dx.doi.org/10.1371/journal.pone.0099709
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author Kizuka, Toshikazu
Akasaka, Munemitsu
Kadoya, Taku
Takamura, Noriko
author_facet Kizuka, Toshikazu
Akasaka, Munemitsu
Kadoya, Taku
Takamura, Noriko
author_sort Kizuka, Toshikazu
collection PubMed
description Propagule pressure and habitat characteristics are important factors used to predict the distribution of invasive alien species. For species exhibiting strong propagule pressure because of human-mediated introduction of species, indicators of introduction potential must represent the behavioral characteristics of humans. This study examined 64 agricultural ponds to assess the visibility of ponds from surrounding roads and its value as a surrogate of propagule pressure to explain the presence and absence of two invasive fish species. A three-dimensional viewshed analysis using a geographic information system quantified the visual exposure of respective ponds to humans. Binary classification trees were developed as a function of their visibility from roads, as well as five environmental factors: river density, connectivity with upstream dam reservoirs, pond area, chlorophyll a concentration, and pond drainage. Traditional indicators of human-mediated introduction (road density and proportion of urban land-use area) were alternatively included for comparison instead of visual exposure. The presence of Bluegill (Lepomis macrochirus) was predicted by the ponds' higher visibility from roads and pond connection with upstream dam reservoirs. Results suggest that fish stocking into ponds and their dispersal from upstream sources facilitated species establishment. Largemouth bass (Micropterus salmoides) distribution was constrained by chlorophyll a concentration, suggesting their lower adaptability to various environments than that of Bluegill. Based on misclassifications from classification trees for Bluegill, pond visual exposure to roads showed greater predictive capability than traditional indicators of human-mediated introduction. Pond visibility is an effective predictor of invasive species distribution. Its wider use might improve management and mitigate further invasion. The visual exposure of recipient ecosystems to humans is important for many invasive species that spread with frequent instances of human-mediated introduction.
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spelling pubmed-40557262014-06-18 Visibility from Roads Predict the Distribution of Invasive Fishes in Agricultural Ponds Kizuka, Toshikazu Akasaka, Munemitsu Kadoya, Taku Takamura, Noriko PLoS One Research Article Propagule pressure and habitat characteristics are important factors used to predict the distribution of invasive alien species. For species exhibiting strong propagule pressure because of human-mediated introduction of species, indicators of introduction potential must represent the behavioral characteristics of humans. This study examined 64 agricultural ponds to assess the visibility of ponds from surrounding roads and its value as a surrogate of propagule pressure to explain the presence and absence of two invasive fish species. A three-dimensional viewshed analysis using a geographic information system quantified the visual exposure of respective ponds to humans. Binary classification trees were developed as a function of their visibility from roads, as well as five environmental factors: river density, connectivity with upstream dam reservoirs, pond area, chlorophyll a concentration, and pond drainage. Traditional indicators of human-mediated introduction (road density and proportion of urban land-use area) were alternatively included for comparison instead of visual exposure. The presence of Bluegill (Lepomis macrochirus) was predicted by the ponds' higher visibility from roads and pond connection with upstream dam reservoirs. Results suggest that fish stocking into ponds and their dispersal from upstream sources facilitated species establishment. Largemouth bass (Micropterus salmoides) distribution was constrained by chlorophyll a concentration, suggesting their lower adaptability to various environments than that of Bluegill. Based on misclassifications from classification trees for Bluegill, pond visual exposure to roads showed greater predictive capability than traditional indicators of human-mediated introduction. Pond visibility is an effective predictor of invasive species distribution. Its wider use might improve management and mitigate further invasion. The visual exposure of recipient ecosystems to humans is important for many invasive species that spread with frequent instances of human-mediated introduction. Public Library of Science 2014-06-12 /pmc/articles/PMC4055726/ /pubmed/24923423 http://dx.doi.org/10.1371/journal.pone.0099709 Text en © 2014 Kizuka 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
Kizuka, Toshikazu
Akasaka, Munemitsu
Kadoya, Taku
Takamura, Noriko
Visibility from Roads Predict the Distribution of Invasive Fishes in Agricultural Ponds
title Visibility from Roads Predict the Distribution of Invasive Fishes in Agricultural Ponds
title_full Visibility from Roads Predict the Distribution of Invasive Fishes in Agricultural Ponds
title_fullStr Visibility from Roads Predict the Distribution of Invasive Fishes in Agricultural Ponds
title_full_unstemmed Visibility from Roads Predict the Distribution of Invasive Fishes in Agricultural Ponds
title_short Visibility from Roads Predict the Distribution of Invasive Fishes in Agricultural Ponds
title_sort visibility from roads predict the distribution of invasive fishes in agricultural ponds
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055726/
https://www.ncbi.nlm.nih.gov/pubmed/24923423
http://dx.doi.org/10.1371/journal.pone.0099709
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