Instituto Federal de Roraima, Caracarai, Roraima, Brazil.
Departamento de Matemática, Universidade Federal do Amazonas, Manaus, Amazonas, Brazil.
PeerJ. 2023 Mar 7;11:e14989. doi: 10.7717/peerj.14989. eCollection 2023.
The increase in temperature resulting from global climate change can directly affect the survival of fish and therefore population parameters such as natural mortality (M). The estimation of this parameter and the understanding of the uncertainties in its estimates are enormous challenges for studies that evaluate fish stocks. In addition, the effects of increases in temperature may be associated with life strategies. Therefore, the fuzzy set theory was used to evaluate the effects of temperature increase on the natural mortality of fish, considering different life strategies. The model showed that the increase in temperature increased the uncertainties in M estimates for all species, regardless of the life strategy. However, opportunistic species present greater uncertainties in estimates of M compared to equilibrium species. The patterns found in uncertainties of M associated with species groupings by life strategies can be used in holistic approaches for the assessment and management of recently exploited fisheries resources or for those with limited biological data.
全球气候变化导致的温度升高会直接影响鱼类的生存,从而影响自然死亡率 (M) 等种群参数。对于评估鱼类种群的研究来说,估计这个参数并了解其估计值的不确定性是巨大的挑战。此外,温度升高的影响可能与生活策略有关。因此,模糊集理论被用于评估温度升高对考虑不同生活策略的鱼类自然死亡率的影响。该模型表明,无论生活策略如何,温度升高都会增加 M 估计值的不确定性。然而,与平衡物种相比,机会主义物种的 M 估计值不确定性更大。与按生活策略分组的物种相关的 M 不确定性模式可用于最近开发的渔业资源评估和管理的整体方法,或者用于那些生物数据有限的渔业资源评估和管理的整体方法。