Cited by 77Fish biology, ecology, and behaviorFish Ecology and Management StudiesAquatic Ecosystems and Biodiversity

Fishery yields vary with land cover on the Amazon River floodplain

Castello, Leandro, Hess, Laura L, Thapa, Ram, McGrath, David G, Arantes, Caroline C, Renó, Vivian F, Isaac, Victoria J·2018·Fish and Fisheries

Abstract

Inland fisheries underpin food security in many tropical countries. The most productive inland fisheries in tropical and subtropical developing countries occur in large river–floodplain systems that are often impacted by land cover changes. However, few studies to date have assessed the effects of changes in floodplain land cover on fishery yields. Here, we integrated fisheries and satellite‐mapped habitat data to evaluate the effects of floodplain deforestation on fishery yields in 68 floodplain lake systems of the lower Amazon River, representing a wide range in relative amounts of woody, herbaceous and non‐vegetated land cover. We modelled relative fish yields (fish capture per unit effort [CPUE]) in the floodplain lakes as a function of the relative amounts of forest, shrub, aquatic macrophyte and bare/herbaceous habitats surrounding them. We found that forest amount was positively related (p = .0003) to multispecies CPUE. The validity of these findings was supported by rejection of plausible alternative causative mechanisms involving habitat‐related differences in amount of piscivores, fishing effort, lake area, and habitat effects on CPUE of the nine taxa dominating multispecies yields. Our results provide support to the idea that removal of floodplain forests reduces fishery yields per unit effort. Increased protection of floodplain forests is necessary to maintain the food, income and livelihood security services provided by large river–floodplain fisheries.

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Crossref · 10.1111/faf.12261

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  • Forest cover is positively associated with fish biomass and fisheries yield in the Amazon River floodplain.

    “Forest cover is positively associated with fish biomass and fisheries yield in the Amazon River floodplain”
  • Prior research shows that low forest cover in the Amazon floodplain is generally associated with low abundance of large migratory, periodic strategist fishes.

    “In contrast, prior research shows that low forest cover in the Amazon floodplain is generally associated with low abundance of large migratory, periodic strategist fishes (Arantes et al., 2018; Arantes, Winemiller, Asher, et al., 2019; Castello et al., 2017; Freitas et al., 2018; Pereira et al., 2023).”

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Authors
Castello, L., Hess, L. L., Thapa, R., McGrath, D. G., Arantes, C. C., Renó, V. F., & Isaac, V. J.
Affiliations
  • Virginia Tech (US)
  • University of California, Santa Barbara (US)
  • Earth Innovation Institute San Francisco CA USA
  • Texas A&M University (US)
  • Instituto Nacional de Pesquisas Espaciais (BR)
  • Universidade Federal do Pará (BR)
Corresponding author
Castello, Leandro
Venue
Fish and Fisheries
Publisher
Wiley
Published
2017-12-14
Volume
19
Issue
3
Pages
431-440
ISSN
  • 1467-2960 (ISSN-L)
  • 1467-2979
OpenAlex
W2771759272
Cited by
77
References
2
Citations by year
2026: 4 · 2025: 10 · 2024: 6 · 2023: 9 · 2022: 10 · 2021: 11 · 2020: 13 · 2019: 7 · 2018: 7
FWCI
6.09
Type
journal article
Language
en
Open access
closed
Locations
  • Fish and Fisheries (publishedVersion)
  • Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) (submittedVersion)
Funders
National Aeronautics and Space Administration (NNX12AD27G, NNX14AD29G)
Topics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish biology, ecology, and behavior
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
  • Physical Sciences › Environmental Science › Ecology › Aquatic Ecosystems and Biodiversity
Keywords
inland fisheries, fishery yield, land cover change, Amazon River floodplain, floodplain lakes, catch per unit effort, forest cover, aquatic macrophytes, food security, livelihood security

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