Temporal associations between climate, socioeconomic drivers, and capture fisheries production in Kenya: a national-scale analysis

This study investigates the temporal associations between environmental and socioeconomic variables and capture fisheries production, aiming to guide sustainable fisheries management and policy development. Despite a growing body of literature on Kenya’s fisheries sector, the long-term national-scale lag structure, direction, and magnitude of temporal associations between capture fisheries production and its environmental and socioeconomic drivers remain poorly understood. To achieve this, various statistical techniques were employed to uncover these relationships. The Mann–Kendall test indicated significant increasing trends in mean annual temperature, greenhouse gas emissions (GHG), domestic credit to the private sector, agricultural land use, and population density, with no trend in freshwater withdrawals. Augmented Dickey–Fuller (ADF) test indicated stationarity for mean annual temperature and non-stationarity for all other predictors; while ARIMA differencing orders for pre-whitening were selected using automated information-criterion optimisation. Cross-correlation analysis identified a significant negative association between GHG emissions and capture fisheries production at a six-year lag ( r = -0.40), suggesting that increases in GHG emissions preceded declines in capture fisheries production. Agricultural land use and domestic credit to the private sector exhibited significant lagged associations with capture fisheries production, whereas annual mean temperature and population density demonstrated negative but statistically non-significant correlations. These findings highlight that fisheries sustainability in Kenya appears to be associated with complex, time-lagged interactions between environmental and socioeconomic factors. Although the observed lagged associations do not establish causality, they underscore the importance of integrated management strategies that align fisheries governance with climate action, sustainable land-use planning, and environmentally responsible financial policies. Accounting for delayed responses to environmental and socioeconomic change may be critical for enhancing the resilience and long-term sustainability of Kenya’s capture fisheries.

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Journal
Scientific Reports
Published
2026-09-16
DOI
https://doi.org/10.1038/s41598-026-70659-3
Primary Topic
Aquatic Ecosystems and Biodiversity
Type
article
Field-Weighted Citation Impact
0.00

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article

Temporal associations between climate, socioeconomic drivers, and capture fisheries production in Kenya: a national-scale analysis

Menaga Meenakshisundaram, Komi Agboka, Sevgan Subramanian, Sunday Ekesi et al.
Scientific Reports
Aquatic Ecosystems and Biodiversity
article

Temporal associations between climate, socioeconomic drivers, and capture fisheries production in Kenya: a national-scale analysis

Menaga Meenakshisundaram, Komi Agboka, Sevgan Subramanian, Sunday Ekesi, Daisy Salifu, Allan Nganga, Timothy Manyise, Chrysantus M. Tanga, Jimmy B. Mboya, Elfatih M. Abdel-Rahman
article en

Abstract

This study investigates the temporal associations between environmental and socioeconomic variables and capture fisheries production, aiming to guide sustainable fisheries management and policy development. Despite a growing body of literature on Kenya’s fisheries sector, the long-term national-scale lag structure, direction, and magnitude of temporal associations between capture fisheries production and its environmental and socioeconomic drivers remain poorly understood. To achieve this, various statistical techniques were employed to uncover these relationships. The Mann–Kendall test indicated significant increasing trends in mean annual temperature, greenhouse gas emissions (GHG), domestic credit to the private sector, agricultural land use, and population density, with no trend in freshwater withdrawals. Augmented Dickey–Fuller (ADF) test indicated stationarity for mean annual temperature and non-stationarity for all other predictors; while ARIMA differencing orders for pre-whitening were selected using automated information-criterion optimisation. Cross-correlation analysis identified a significant negative association between GHG emissions and capture fisheries production at a six-year lag ( r = -0.40), suggesting that increases in GHG emissions preceded declines in capture fisheries production. Agricultural land use and domestic credit to the private sector exhibited significant lagged associations with capture fisheries production, whereas annual mean temperature and population density demonstrated negative but statistically non-significant correlations. These findings highlight that fisheries sustainability in Kenya appears to be associated with complex, time-lagged interactions between environmental and socioeconomic factors. Although the observed lagged associations do not establish causality, they underscore the importance of integrated management strategies that align fisheries governance with climate action, sustainable land-use planning, and environmentally responsible financial policies. Accounting for delayed responses to environmental and socioeconomic change may be critical for enhancing the resilience and long-term sustainability of Kenya’s capture fisheries.

Scientific Reports
International Centre of Insect Physiology and Ecology (KE), University of Lomé (TG), WorldFish (MY), University of KwaZulu-Natal (ZA)
Bill and Melinda Gates Foundation, Styrelsen för Internationellt Utvecklingssamarbete, Government of the Republic of Kenya, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Novo Nordisk, Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung, Novo Nordisk Fonden, Direktoratet for Utviklingssamarbeid, HORIZON EUROPE Framework Programme, Australian Centre for International Agricultural Research
Climate action
Openalex Percentile: Top 11%
Aquatic Ecosystems and Biodiversity
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