Solar irradiance and ENSO affect food security in Lake Tanganyika, a major African inland fishery

McGlue, Michael M.; Ivory, Sarah J.; Stone, Jeffery R.; Cohen, Andrew S.; Kamulali, Tumaini M.; Latimer, Jennifer C.; Brannon, M. A.; Kimirei, Ismael A.; Soreghan, Michael J.

doi:10.1126/sciadv.abb2191

Cited by 16 publications

(13 citation statements)

References 50 publications

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“…ERA5 has been used in several climate and health studies. Topics include the exposure of human populations to heatwaves and droughts (Chambers, 2020; Zhang et al, 2021), heat‐related mortality (de Schrijver et al, 2021; Royé et al, 2020; Urban et al, 2021), heat‐related labour loss and productivity (Dasgupta et al, 2021; Kong & Huber, 2022; Parsons et al, 2021), mental health (Florido Ngu et al, 2021) and food insecurity in terrestrial and marine systems (Dasgupta & Robinson, 2022; Laudien et al, 2022; McGlue et al, 2020; Post et al, 2021; Shettigar et al, 2020; Verschuur et al, 2021; Zhou et al, 2021). These ERA5‐based research topics align with those addressed and tracked by Lancet Countdown indicators.…”

Section: Global Climate Reanalysis In the Lancet Countdownmentioning

confidence: 99%

The role of global reanalyses in climate services for health: Insights from the Lancet Countdown

Napoli

Romanello

Minor

et al. 2023

Meteorological Applications

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As the linkages between extreme weather events, changes in climatic conditions and health impacts in exposed populations become clearer, so does the need for climate‐smart decisions aimed at making the public health sector more responsive and resilient. By integrating climate and health information, climate services for health provide robust decision‐support tools. The Lancet Countdown monitoring system uses global climate reanalyses products to track annual changes in a set of health‐related outcomes. In the monitoring system, multiple variables from reanalysis datasets such as ERA5 and ERA5‐Land are retrieved and processed to capture heatwaves, precipitation extremes, wildfires, droughts, warming and ecosystem changes across the globe and over multiple decades. This reanalysis‐derived information is then input into a hazard–exposure–vulnerability framework that delivers, as outcomes, indicators tracking the year‐by‐year impacts of climate‐related hazards on human mortality, labour capacity, physical activity, sentiment, infectious disease transmission, and food security and undernutrition. Building on the reanalysis gridded format, the indicators create worldwide ‘maps without gaps’ of climate–health linkages. Our experience shows that reanalysis datasets allow standardization across the climate information used in the framework, making the system potentially adaptable to multiple geographical scales. An ongoing challenge is to quantify how the inherent bias of global reanalyses influences indicator outcomes. We foresee the health sector as a key user of reanalysis products. Therefore, public health professionals and health impact modellers should be involved in the co‐development of future iterations of reanalysis datasets, to reach finer spatial resolutions and provide a wider set of health‐relevant climate variables.

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Section: Global Climate Reanalysis In the Lancet Countdownmentioning

confidence: 99%

The role of global reanalyses in climate services for health: Insights from the Lancet Countdown

Napoli

Romanello

Minor

et al. 2023

Meteorological Applications

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“…In this isotopic framework, the 13 C/ 12 C ratio or δ 13 C increases only little from one trophic level to the next and therefore reflects the source of primary production [43][44][45]. Differences in primary productivity can alter the δ 13 C of particulate organic matter (POM): high primary productivity results typically in high values of δ 13 C, due to the ongoing depletion of the of the DIC pool and decreasing discrimination against 13 C by phytoplankton [46][47][48][49][50][51]. Seasonal changes in δ 13 C at the base of the food web can be tracked across trophic levels from plankton to fish in lake ecosystems [52].…”

Section: Plos Onementioning

confidence: 99%

“…The pelagic fish stocks suffer from heavy fishing [2,10] and from a long term decline that was attributed to climate change [11][12][13]. The increased warming of the surface waters caused by climate change leads to steep temperature gradients in the water column.…”

Section: Introductionmentioning

confidence: 99%

Isotopic signatures induced by upwelling reveal regional fish stocks in Lake Tanganyika

Ehrenfels,

Junker,

Namutebi

et al. 2023

PLoS ONE

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Lake Tanganyika’s pelagic fish sustain the second largest inland fishery in Africa and are under pressure from heavy fishing and global warming related increases in stratification. The strength of water column stratification varies regionally, with a more stratified north and an upwelling-driven, biologically more productive south. Only little is known about whether such regional hydrodynamic regimes induce ecological or genetic differences among populations of highly mobile, pelagic fish inhabiting these different areas. Here, we examine whether the regional contrasts leave distinct isotopic imprints in the pelagic fish of Lake Tanganyika, which may reveal differences in diet or lipid content. We conducted two lake-wide campaigns during different seasons and collected physical, nutrient, chlorophyll, phytoplankton and zooplankton data. Additionally, we analyzed the pelagic fish–the clupeids Stolothrissa tanganicae, Limnothrissa miodon and four Lates species–for their isotopic and elemental carbon (C) and nitrogen (N) compositions. The δ13C values were significantly higher in the productive south after the upwelling/mixing period across all trophic levels, implying that the fish have regional foraging grounds, and thus record these latitudinal isotope gradients. By combining our isotope data with previous genetic results showing little geographic structure, we demonstrate that the fish reside in a region for a season or longer. Between specimens from the north and south we found no strong evidence for varying trophic levels or lipid contents, based on their bulk δ15N and C:N ratios. We suggest that the development of regional trophic or physiological differences may be inhibited by the lake-wide gene flow on the long term. Overall, our findings show that the pelagic fish species, despite not showing evidence for genetic structure at the basin scale, form regional stocks at the seasonal timescales. This implies that sustainable management strategies may consider adopting regional fishing quotas.

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“…Little is known about the sedimentary geology of the deepest parts of the Rift. Shallow coring of the Holocene and Upper Pleistocene sections penetrated diatomaceous ooze‐rich shale, sands, siltstone, and localized carbonates (Felton et al., 2007; Livingstone, 1965; McGlue et al., 2008, 2020; Scholz et al., 2003; Tiercelin et al., 1988, 1992). The LTR contains more than ∼6 km of syn‐rift lacustrine sediments in some areas, as evident in 2‐D seismic reflection data (Morley, 1988, Muirhead et al., 2019; Rosendahl, 1987; Shaban et al., 2021; Wright et al., 2020; Figure 1b) distributed in at least six depositional units (Figures 2b and 2c; Muirhead et al., 2019; Shaban et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

The Deep Basin and Underlying Basement Structure of the Tanganyika Rift

2023

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The oldest structures in a rift basin define incipient rift architecture, and commonly modulate the patterns of landscape evolution, sedimentation, and associated hazards in subsequent phases of rift development. However, due to deep burial beneath younger, thick syn‐rift sequences, and limited resolution of seismic imaging, critical early‐rift processes remain poorly understood. In the Tanganyika Rift, East Africa, we augment existing 2‐dimensional (2‐D) seismic reflection data with newly acquired aeromagnetic and Full‐Tensor Gradiometry data to assess the deep basin and underlying basement structure. Aeromagnetic and gravity grids show a dominance of NW‐trending long‐wavelength (>5 km) structural fabrics corresponding to the deeper basement, and dominant NW‐trending with a secondary NNE‐trending shorter‐wavelength (<3 km) fabric representing shallower, intra‐basin structures. Seismically‐constrained 2‐D forward modeling of the aeromagnetic and gravity data reveals: (a) an anomalously high‐density (2.35–2.45 g/cc) deep‐seated, fault‐bounded wedge‐shaped sedimentary unit that directly overlies the pre‐rift basement, likely of Mesozoic (Karoo) origin; (b) ∼4 km‐wide sub‐vertical low‐density (2.71 g/cc) structures within the 3.2 g/cc basement, interpreted to be inherited basement shear zones, (c) early‐rift intra‐basin faults co‐located with the modeled shear zone margins, in some places defining a persistent structurally‐controlled intra‐basin “high,” and (d) a shallow intra‐sedimentary V‐shaped zone of comparatively dense material (∼2.2 g/cc), interpreted to be a younger axial channel complex confined between the intra‐basin “high” and border fault. These results provide new insight into the earliest basin architecture of the Tanganyika Rift, controlled by inherited basement structure, and provide evidence of their persistent influence on the subsequent basin evolution.

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Solar irradiance and ENSO affect food security in Lake Tanganyika, a major African inland fishery

Cited by 16 publications

References 50 publications

The role of global reanalyses in climate services for health: Insights from the Lancet Countdown

The role of global reanalyses in climate services for health: Insights from the Lancet Countdown

Isotopic signatures induced by upwelling reveal regional fish stocks in Lake Tanganyika

The Deep Basin and Underlying Basement Structure of the Tanganyika Rift

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