Global Expansion of Marine Protected Areas and the Redistribution of Fishing Effort
No hay miniatura disponible
Fecha
Título de la revista
ISSN de la revista
Título del volumen
Editor
Washington, DC: World Bank
Resumen
Descripción
The expansion of marine protected
areas (MPAs) is a core focus of global conservation efforts,
with the “30x30” initiative to protect 30% of the ocean by
2030 serving as a prominent example of this trend. This
paper examines a series of proposed MPA network expansions
of various sizes and forecasts the impact that increased
protection could have on global patterns of fishing effort.
This is accomplished using a predictive machine learning
model trained on a global dataset of satellite-based fishing
vessel monitoring data, current MPA locations, and
spatiotemporal environmental, geographic, political, and
economic features. The model predicts future fishing effort
under various MPA expansion scenarios, compared to a
business-as-usual counterfactual scenario that includes no
new MPAs. The difference between these scenarios represents
the predicted change in fishing effort resulting from MPA
expansion. The results show that, regardless of the MPA
network's objective or size, fishing effort would
decrease inside the MPAs, though by much less than 100%.
Moreover, this reduction in fishing effort within MPAs does
not simply shift outside—fishing effort outside MPAs also
declines. The overall magnitude of the predicted decrease in
global fishing effort principally depends on where networks
are placed in relation to existing fishing effort. MPA
expansion will lead to a global redistribution of fishing
effort, which should be considered in network design,
implementation, and impact evaluation.
Palabras clave
MARINE PROTECTED AREAS, FISHERIES ECONOMICS, FISHER BEHAVIOR, PREDICTIVE MACHINE LEARNING
