Albacore tuna (Thunnus alalunga) is a highly economically important species in the western Indian Ocean. However, knowledge of its ecological and nutritional characteristics, essential for proper management of the species, is lacking in the region. The trophodynamics of the Indian Ocean albacore was thus examined using known fatty acid trophic markers (FATMs) of primary producers, nutritional condition indices (NCIs) (omega-3/omega-6 ratio and total fatty acid content (TFA)), and baseline and lipid corrected stable isotope of carbon (δ¹³C_corr) and nitrogen (δ¹⁵N_corr), measured in the muscle tissue. We applied generalized additive mixed models to understand the spatiotemporal patterns and drivers of these tracers, taking into consideration several intrinsic and extrinsic variables: fish size, fishing position, month, chlorophyll-a and sea surface temperature (SST). Both chlorophyll-a and SST were significant as single explanatory variables for all tracers with SST being the best predictor for docosahexaenoic acid/eicosapentaenoic acid ratio, the omega-6 protists FATM, omega-3/omega-6 ratio, δ¹³C_corr and δ¹⁵N_corr. TFA was best predicted by fish size only. Higher primary productivity, as inferred by high δ¹³C_corr values and diatom contribution, nutritional condition and trophic position, as inferred by high δ¹⁵N_corr values, were observed in albacore from the temperate southern waters than in the northern tropical regions. Relationships between environmental variables and corrected stable isotopes, FATMs confirm that ocean warming and changes in primary productivity will impact nutrient flow and energy transfer in the marine food web which may have negative nutritional outcomes for albacore. This knowledge is particularly crucial in areas where oceanographic conditions and seawater temperatures are changing at a fast rate and should also be taken into consideration by fisheries managers.

长鳍金枪鱼（Thunnus alalunga）在印度洋西部是一种在经济上非常重要的物种。但是，该地区缺乏对其物种的正确管理必不可少的其生态和营养特征的知识。因此，使用主要生产者的已知脂肪酸营养标记（FATM），营养状况指数（NCI）（omega-3 / omega-6比例和总脂肪酸含量（TFA））和基线检查了印度洋长鳍金鸡的营养动力学和脂质校正碳（δ的稳定同位素¹³ C ^_更正件）和氮（δ ¹⁵ ñ_科尔），在肌肉组织中测量。我们应用了广义加性混合模型，以了解这些示踪剂的时空模式和驱动因素，同时考虑了一些内在和外在变量：鱼的大小，捕鱼位置，月份，叶绿素a和海面温度（SST）。既叶绿素一个和SST是作为与SST是用于十二碳六烯酸/二十碳五烯酸的比例最好的预测，所述ω-6原生生物FATM，ω-3 /ω-6比值所有示踪剂单个解释变量显著，δ ¹³ Ç_更正件和δ ¹⁵ ñ_更正件。仅通过鱼的大小最好地预测TFA。更高初级生产力，为推断由高δ ¹³ C ^_科尔值和硅藻贡献，营养状况和营养位置，如通过推断高δ ^15个Ñ_科尔值，是在长鳍从温带地区水域观察到比在北部热带地区。FATM证实了环境变量与校正的稳定同位素之间的关系，海洋变暖和初级生产力的变化将影响海洋食物网中的营养流和能量转移，这可能会对长鳍金枪鱼的营养产生负面影响。在海洋条件和海水温度快速变化的地区，这一知识尤为重要，渔业管理人员也应考虑到这一点。