| Literature DB >> 26047487 |
John S Hargrove1, Olaf L F Weyl2, Micheal S Allen3, Neil R Deacon4.
Abstract
Fishes are one of the most commonly introduced aquatic taxa worldwide, and invasive fish species pose threats to biodiversity and ecosystem function in recipient waters. Considerable research efforts have focused on predicting the invasibility of different fish taxa; however, accurate records detailing the establishment and spread of invasive fishes are lacking for large numbers of fish around the globe. In response to these data limitations, a low-cost method of cataloging and quantifying the temporal and spatial status of fish invasions was explored. Specifically, angler catch data derived from competitive bass angling tournaments was used to document the distribution of 66 non-native populations of black bass (Micropterus spp.) in southern Africa. Additionally, catch data from standardized tournament events were used to assess the abundance and growth of non-native bass populations in southern Africa relative to their native distribution (southern and eastern United States). Differences in metrics of catch per unit effort (average number of fish retained per angler per day), daily bag weights (the average weight of fish retained per angler), and average fish weight were assessed using catch data from 14,890 angler days of tournament fishing (11,045 days from South Africa and Zimbabwe; 3,845 days from the United States). No significant differences were found between catch rates, average daily bag weight, or the average fish weight between countries, suggesting that bass populations in southern Africa reach comparable sizes and numbers relative to waters in their native distribution. Given the minimal cost associated with data collection (i.e. records are collected by tournament organizers), the standardized nature of the events, and consistent bias (i.e. selection for the biggest fish in a population), the use of angler catch data represents a novel approach to infer the status and distribution of invasive sport fish.Entities:
Mesh:
Year: 2015 PMID: 26047487 PMCID: PMC4457859 DOI: 10.1371/journal.pone.0130056
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Map of black bass tournament events held in southern Africa.
The distribution of black bass (Micropterus spp.) angling tournaments held in Botswana, Namibia, Mozambique, South Africa, and Zimbabwe from 1999 to 2013. Location data was projected using ArcGIS v.10.2.2 (ESRI, Redlands, CA, USA), and details (latitude, longitude, water body name) for each point are provided in S1 Table.
Fig 2Relative success of alien-invasive and native populations of black bass.
Average number of fish retained per angler per day (a), the average daily bag weight of retained fish (b), and the average weight of a fish retained in black bass (Micropterus spp.) tournaments held in the United States (white dots) and southern Africa (black dots) (c).
A list of B.A.S.S. affiliated tournament angling venues with the associated catch rates and fish weights from water bodies in the introduced (southern Africa) and native range (United States) of Micropterus salmoides, M. floridanus, and M. dolomieu.
| Region | Water Body | Province, Country | Average Daily Number of Fish Retained | Average Daily Bag Limit Weight (kg) | Average Fish Weight (kg) | Number of angler catch records | Number of Events |
|---|---|---|---|---|---|---|---|
| Southern Africa | |||||||
| Masvikadei | Mashonaland West, ZW | 2.52 (1.50) | 2.23 (1.93) | 0.89 | 436 | 4 | |
| Darwendale | Mashonaland West, ZW | 4.32 (1.09) | 4.68 (2.30) | 1.08 | 1139 | 10 | |
| Claw | Mashonaland West, ZW | 3.34 (1.41) | 2.71 (1.53) | 0.81 | 605 | 6 | |
| Kyle | Masvingo, ZW | 3.69 (1.36) | 3.40 (2.02) | 0.92 | 1407 | 18 | |
| Mayfair | Matabeleland South, ZW | 4.32 (1.12) | 4.26 (2.08) | 0.99 | 912 | 9 | |
| Manyuchi | Masvingo, ZW | 4.94 (0.36) | 3.98 (0.99) | 0.81 | 98 | 1 | |
| Tzaneen | Limpopo, ZA | 2.71 (2.30) | 2.00 (1.81) | 0.74 | 102 | 1 | |
| Rust de Winter | Limpopo, ZA | 2.95 (2.04) | 1.97 (1.55) | 0.67 | 200 | 2 | |
| Driekoppies | Mpumalanga, ZA | 3.11 (2.28) | 2.91 (2.69) | 0.94 | 128 | 1 | |
| Witbank | Mpumalanga, ZA | 2.50 (1.86) | 1.58 (1.44) | 0.63 | 168 | 3 | |
| Mokolo | Limpopo, ZA | 2.49 (1.84) | 2.23 (2.07) | 0.90 | 202 | 3 | |
| Vaal River | Gauteng, ZA | 1.60 (1.78) | 1.30 (1.66) | 0.83 | 199 | 3 | |
| Heyshope | Mpumalanga, ZA | 2.45 (2.09) | 1.80 (1.93) | 0.74 | 38 | 1 | |
| Bivane | KwaZulu-Natal, ZA | 1.79 (1.69) | 2.17 (2.23) | 1.22 | 168 | 2 | |
| Goedertrouw | KwaZulu-Natal, ZA | 3.02 (1.92) | 4.24 (3.58) | 1.40 | 358 | 4 | |
| Albert Falls | KwaZulu-Natal, ZA | 2.87 (1.94) | 2.19 (1.93) | 0.76 | 364 | 4 | |
| Midmar | KwaZulu-Natal, ZA | 3.00 (1.90) | 2.21 (1.87) | 0.74 | 236 | 3 | |
| Inanda | KwaZulu-Natal, ZA | 2.91 (1.92) | 2.46 (1.86) | 0.85 | 176 | 1 | |
| Clanwilliam | Western Cape, ZA | 3.91 (1.47) | 4.66 (2.49) | 1.21 | 816 | 11 | |
| Wriggleswade | Eastern Cape, ZA | 4.13 (1.47) | 2.90 (1.52) | 0.70 | 841 | 11 | |
| Misverstand | Western Cape, ZA | 2.05 (1.19) | 2.47 (1.64) | 1.20 | 121 | 6 | |
| Quaggaskloof | Western Cape, ZA | 3.51 (1.59) | 3.44 (2.13) | 1.01 | 615 | 14 | |
| Groenvlei | Western Cape, ZA | 3.70 (1.75) | 2.97 (1.91) | 0.80 | 685 | 9 | |
| Theewaterskloof | Western Cape, ZA | 2.70 (1.66) | 2.57 (2.30) | 1.02 | 280 | 9 | |
| Elandsjacht | Eastern Cape, ZA | 2.92 (1.99) | 1.69 (1.30) | 0.58 | 731 | 9 | |
| Average | 3.10 (0.82) | 2.76 (0.97) | 0.90 | ||||
| Total | 11,045 | 145 | |||||
| North America | |||||||
| Lake Okeechobee | Florida, US | 3.86 (1.76) | 4.10 (2.80) | 1.06 | 342 | 1 | |
| Lake Eufaula | Alabama, US | 3.53 (1.62) | 4.19 (2.34) | 1.19 | 206 | 1 | |
| Ouachita River | Louisiana, US | 3.77 (1.57) | 2.64 (1.45) | 0.70 | 162 | 1 | |
| Wheeler Lake | Alabama, US | 4.18 (1.39) | 3.63 (1.85) | 0.87 | 168 | 1 | |
| Lake Dardanelle | Arkansas, US | 3.40 (1.53) | 3.46 (1.92) | 1.02 | 168 | 1 | |
| Douglas Lake | Tennessee, US | 3.89 (1.62) | 3.43 (1.84) | 0.88 | 328 | 1 | |
| Kerr Reservoir | Virginia, US | 1.98 (1.51) | 1.73 (1.42) | 0.88 | 156 | 1 | |
| Barren River | Kentucky, US | 1.43 (1.46) | 1.71 (1.86) | 1.20 | 342 | 1 | |
| Upper Chesapeake River | Maryland, US | 2.58 (1.93) | 2.95 (2.33) | 1.14 | 294 | 1 | |
| Delaware River | New Jersey, US | 0.60 (0.91) | 0.50 (0.78) | 0.84 | 255 | 1 | |
| Lake Erie | Pennsylvania, US | 3.11 (1.39) | 3.90 (2.03) | 1.25 | 240 | 1 | |
| Charles River | Massachusetts, US | 1.28 (1.40) | 0.95 (1.07) | 0.75 | 358 | 1 | |
| Sebago Lake | Maine, US | 1.70 (1.59) | 1.18 (1.43) | 0.69 | 369 | 1 | |
| Lake Champlain | Vermont, US | 3.81 (1.89) | 4.17 (2.46) | 1.10 | 226 | 1 | |
| St. Lawrence River | New York, US | 3.89 (1.57) | 5.21 (2.60) | 1.34 | 231 | 1 | |
| Average | 2.87 (1.17) | 2.92 (1.40) | 0.99 | ||||
| Total | 3,845 | 15 |
ZW = Zimbabwe, ZA = South Africa, US = United States.
a indicates a reservoir where the predominant tournament catch is Micropterus dolomieu.
Average values and standard deviations (in parenthesis) for number of fish captured and bag limit weights were derived from angler catch records with one record equivalent to one angler day of tournament fishing. Water bodies are listed in latitudinal order within each country such that water bodies high on the list are closest to the equator.
Fig 3Catch characteristics from tournament angling events held in southern Africa and North America.
The average weight of black bass (Micropterus spp.) retained in 186 tournament angling events hosted by B.A.S.S. in North America and S.A.B.A.A. and Z.N.B.F. in southern Africa. Each column represents an individual impoundment, and boxes display the 25th and 75th quartiles. Dark lines in boxes indicate median values, whiskers denote the maximum and minimum values excluding outliers. Open circles represent outliers (values more than 1.5 times greater or lower than the maximum or minimum quartiles respectively).