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Ecosystem dynamics under 'top-down' and 'bottom-up' control situations generated by intensive harvesting rates

机译:集约化收获率在“自上而下”和“自下而上”控制情况下的生态系统动态

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"Top-down" and "bottom-up" control processes in exploited ecosystems have been characterised using their impacts on the mean trophic level of catches, changes in biomass, and certain ecosystem attributes. Most scientific contributions have been based on case studies of particular ecosystems. So, the aim of this study is to identify and understand ecosystem processes governing their response to fishing in a more global sense. Simulations were developed using different ecosystems models using the Ecopath with Ecosim suite of programs. Two cases were examined by selecting target species to be exploited during simulations experiments. A high trophic level group (sharks) and a low trophic level group (shrimp) were chosen to represent potential "top-down" and "bottom-up" control situations, respectively. For both cases, a gradient of exploitation was simulated, and ecosystem attributes were estimated. Harvest rates (HR) varied along a gradient of HR = 0.4 to HR = 0.7 for sharks and HR = 0.3 to HR = 0.8 for shrimp. For each simulation, only the target group was modified. Principal Components Analysis was applied, and outputs were obtained using ecosystems as variables and attributes as factors, and vice versa. For sharks, outputs indicate that under a low HR, group attributes govern the response to exploitation. However, when a high HR was applied (higher than the maximum sustainable yield), ecosystem attributes emerged as relevant instead of stock attributes. For sharks, representing "top-down" control, a graphical arrangement of the first two components clearly shows a gradual pattern of response reflecting the transition from stock-level to ecosystem-level processes as HR increases. For shrimp, representing "bottom-up" control, no clear patterns emerged; in this case, the same relevant stock and ecosystem attributes appear across all HRs applied. These results are explained in terms of stock life histories, trophic level, and transfer efficiencies through the food web, suggesting that ecosystem processes behind overfishing are related to the trophic level, and then, fisheries management practice must recognise such particularities.
机译:已开发的生态系统中的“自上而下”和“自下而上”的控制过程已通过其对渔获物平均营养水平,生物量变化和某些生态系统属性的影响来表征。大多数科学贡献都是基于对特定生态系统的案例研究。因此,本研究的目的是从更全球的意义上识别和理解控制其对捕鱼反应的生态系统过程。使用带有Ecosim程序套件的Ecopath,使用不同的生态系统模型开发了仿真程序。通过选择在模拟实验中要开发的目标物种来检查两个案例。选择高营养水平组(鲨鱼)和低营养水平组(虾)分别代表潜在的“自上而下”和“自下而上”的控制情况。对于这两种情况,都模拟了开采的梯度,并估计了生态系统属性。鲨鱼的收获率(HR)沿HR = 0.4到HR = 0.7的梯度变化,对虾的HR = 0.3到HR = 0.8的梯度变化。对于每个模拟,仅修改目标组。应用主成分分析,并使用生态系统作为变量,属性作为因子来获得输出,反之亦然。对于鲨鱼,输出表明在较低的人力资源下,群体属性决定着对剥削的反应。但是,当采用较高的人力资源(高于最大的可持续产量)时,生态系统属性就显得重要了,而不是种群属性。对于代表“自上而下”控制的鲨鱼,前两个组成部分的图形排列清楚地显示了一种逐渐形成的响应模式,反映了随着人力资源增加从种群级流程向生态系统级流程的过渡。对于代表“自下而上”控制的虾,没有清晰的图案出现。在这种情况下,相同的相关种群和生态系统属性会出现在所有应用的人力资源中。这些结果从种群生命史,营养水平和通过食物网的转移效率方面进行了解释,表明过度捕捞背后的生态系统过程与营养水平有关,然后,渔业管理实践必须认识到这种特殊性。

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