Semantic Scholar Open Access 2023 14 sitasi

Global Status of Non-Native Largemouth Bass (Micropterus Salmoides, Centrachidae) and Smallmouth Bass (Micropterus Dolomieu, Centrarchidae): Disparate Views as Beloved Sportfish and Feared Invader

J. Long Lauren Seguy

Abstrak

Abstract Largemouth Bass (Micropterus salmoides, LMB) and Smallmouth Bass (Micropterus dolomieu, SMB) are among the most highly invasive species across the globe, but are simultaneously among the most highly sought-after game fish. To explain these disparate views, data on invasive status and angling participation of these two species were compiled at the country level. Largemouth Bass were found established in 62 countries on five continents, whereas SMB were found established in only nine countries on the same five continents. Invasive risk assessments were disparate between the species, with more for SMB (N = 29) than LMB (N = 27). In every instance save one (Finland), SMB were considered “invasive” compared to LMB, which were “invasive” in only 74% of assessments. Twenty-eight countries with non-native black bass have groups that participate in high-profile fishing tournament such the Black Bass World Championship, BASS (Bass Anglers Sportsmans Society) Nation, and Major League Fishing. Most countries with fishing tournaments occur in countries with established LMB populations than in countries with established SMB populations, suggesting a greater economic importance on LMB fishing. The struggle between conserving biodiversity and relying upon economic benefits from fishing for introduced species is a wicked problem likely to continue into the future.

Penulis (2)

J

J. Long

L

Lauren Seguy

Format Sitasi

Long, J., Seguy, L. (2023). Global Status of Non-Native Largemouth Bass (Micropterus Salmoides, Centrachidae) and Smallmouth Bass (Micropterus Dolomieu, Centrarchidae): Disparate Views as Beloved Sportfish and Feared Invader. https://doi.org/10.1080/23308249.2023.2244078

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Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
14×
Sumber Database
Semantic Scholar
DOI
10.1080/23308249.2023.2244078
Akses
Open Access ✓