Robust Trend Estimation From Temporally Irregular Recreational Fisheries Surveys: A Panel Modeling Framework for Sparse Time Series DOI Creative Commons
Ebenezer Afrifa‐Yamoah, Stephen M. Taylor, Ute Mueller

и другие.

Fisheries Management and Ecology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 30, 2025

ABSTRACT Monitoring of recreational fisheries faces ongoing challenges due to irregular data collection and sampling gaps. We used a robust statistical approach combining cross‐sectional panel modeling with generalized linear models analyze discontinuous time series data. modeled boating patterns across four distinct Western Australian locations using camera monitoring (2011–2014), integrated weather conditions temporal factors improve trend estimation. Environmental were strongly related activity, particularly wind effects north–south patterns. Recreational activity decreased at northern during easterly winds southern northerly winds. Cross‐validation demonstrated how environmental can be leveraged predict fishing efforts discontinuities. Advanced testing confirmed that environmental–boating relationships consistent when bridging significant This methodological framework provides researchers practical tools reliably estimate effort from intermittent programs enable more informed decision‐making despite the constraints sparse sampling. The readily applied other ecological systems where continuous is impractical or cost‐prohibitive.

Язык: Английский

Robust Trend Estimation From Temporally Irregular Recreational Fisheries Surveys: A Panel Modeling Framework for Sparse Time Series DOI Creative Commons
Ebenezer Afrifa‐Yamoah, Stephen M. Taylor, Ute Mueller

и другие.

Fisheries Management and Ecology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 30, 2025

ABSTRACT Monitoring of recreational fisheries faces ongoing challenges due to irregular data collection and sampling gaps. We used a robust statistical approach combining cross‐sectional panel modeling with generalized linear models analyze discontinuous time series data. modeled boating patterns across four distinct Western Australian locations using camera monitoring (2011–2014), integrated weather conditions temporal factors improve trend estimation. Environmental were strongly related activity, particularly wind effects north–south patterns. Recreational activity decreased at northern during easterly winds southern northerly winds. Cross‐validation demonstrated how environmental can be leveraged predict fishing efforts discontinuities. Advanced testing confirmed that environmental–boating relationships consistent when bridging significant This methodological framework provides researchers practical tools reliably estimate effort from intermittent programs enable more informed decision‐making despite the constraints sparse sampling. The readily applied other ecological systems where continuous is impractical or cost‐prohibitive.

Язык: Английский

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