Aggregation of species with similar ecological properties is one of the effective methods to simplify food web researches.However,species aggregation will affect not only the complexity of modeling process but also th...Aggregation of species with similar ecological properties is one of the effective methods to simplify food web researches.However,species aggregation will affect not only the complexity of modeling process but also the accuracy of models’outputs.Selection of aggregation methods and the number of trophospecies are the keys to study the simplification of food web.In this study,three aggregation methods,including taxonomic aggregation(TA),structural equivalence aggregation(SEA),and self-organizing maps(SOM),were analyzed and compared with the linear inverse model–Markov Chain Monte Carlo(LIM-MCMC)model.Impacts of aggregation methods and trophospecies number on food webs were evaluated based on the robustness and unitless of ecological net-work indices.Results showed that aggregation method of SEA performed better than the other two methods in estimating food web structure and function indices.The effects of aggregation methods were driven by the differences in species aggregation principles,which will alter food web structure and function through the redistribution of energy flow.According to the results of mean absolute percentage error(MAPE)which can be applied to evaluate the accuracy of the model,we found that MAPE in food web indices will increase with the reducing trophospecies number,and MAPE in food web function indices were smaller and more stable than those in food web structure indices.Therefore,trade-off between simplifying food webs and reflecting the status of ecosystem should be con-sidered in food web studies.These findings highlight the importance of aggregation methods and trophospecies number in the analy-sis of food web simplification.This study provided a framework to explore the extent to which food web models are affected by dif-ferent species aggregation,and will provide scientific basis for the construction of food webs.展开更多
为了解双斑蟳栖息分布规律,实验根据2011—2016年多个季度航次在海州湾进行的渔业资源和环境调查数据,采用广义线性模型(GLM)、广义可加模型(GAM)以及随机森林3种物种分布模型(SDMs)方法,结合AIC(akaike information criterion)准则、...为了解双斑蟳栖息分布规律,实验根据2011—2016年多个季度航次在海州湾进行的渔业资源和环境调查数据,采用广义线性模型(GLM)、广义可加模型(GAM)以及随机森林3种物种分布模型(SDMs)方法,结合AIC(akaike information criterion)准则、累积偏差解释率和交叉检验等评判指标筛选和构建了双斑蟳栖息分布模型,并分析了环境因子对双斑蟳分布的影响。结果显示,3种模型在解释因子与响应变量间的关系上基本一致;其中GAM在模型拟合上具有优势,而随机森林的预测性能明显高于传统的GLM和GAM。双斑蟳相对渔获量在年份和月份间的变异性最为显著,两个因子的解释率分别在18%和3.8%以上。水深和表层盐度对双斑蟳资源分布的影响较大,均与双斑蟳相对丰度呈正相关关系;双斑蟳分布总体呈现冬季相对较高,夏季东北部海域高、西南部低的特点,与海州湾水深分布特点基本一致。本研究还根据FVCOM(finite-volume coasta ocean model)模拟环境数据,利用随机森林分布模型估计了双斑蟳在海州湾海域2011年各个季节的空间分布,为渔业资源的开发和保护提供依据。展开更多
基于2018年海州湾及邻近海域的渔业资源底拖网调查数据,运用Ecopath with Ecosim 6.5(EwE)软件构建由26个功能群组成的海州湾及邻近海域生态系统Ecopath模型,对现阶段该生态系统的营养结构、营养相互关系和系统总特征等进行分析,旨在为...基于2018年海州湾及邻近海域的渔业资源底拖网调查数据,运用Ecopath with Ecosim 6.5(EwE)软件构建由26个功能群组成的海州湾及邻近海域生态系统Ecopath模型,对现阶段该生态系统的营养结构、营养相互关系和系统总特征等进行分析,旨在为实施基于生态系统的渔业管理提供理论依据。结果表明:海州湾及邻近海域生态系统各功能群的营养级范围为1.00~4.19,其中鱼类营养级范围较广,为3.22~4.19;浮游动物和其他软体动物受初级生产者和捕食者的双重作用,处于重要的营养位置;生态系统总体特征分析显示,该生态系统的总初级生产量与总呼吸量的比值为7.096,总初级生产量与总生物量的比值为56.866,系统的连接指数和系统杂食指数分别为0.429和0.204,说明该生态系统目前处于不成熟、不稳定的状态,容易受外界扰动的影响。本文通过对海州湾及邻近海域生态系统模型进行研究,解析了该海域营养结构和系统发育状况,将为海州湾渔业资源的可持续利用和科学管理提供理论依据。展开更多
基金supported by the National Key R&D Program of China(Nos.2019YFD0901204,2019YFD 0901205).
文摘Aggregation of species with similar ecological properties is one of the effective methods to simplify food web researches.However,species aggregation will affect not only the complexity of modeling process but also the accuracy of models’outputs.Selection of aggregation methods and the number of trophospecies are the keys to study the simplification of food web.In this study,three aggregation methods,including taxonomic aggregation(TA),structural equivalence aggregation(SEA),and self-organizing maps(SOM),were analyzed and compared with the linear inverse model–Markov Chain Monte Carlo(LIM-MCMC)model.Impacts of aggregation methods and trophospecies number on food webs were evaluated based on the robustness and unitless of ecological net-work indices.Results showed that aggregation method of SEA performed better than the other two methods in estimating food web structure and function indices.The effects of aggregation methods were driven by the differences in species aggregation principles,which will alter food web structure and function through the redistribution of energy flow.According to the results of mean absolute percentage error(MAPE)which can be applied to evaluate the accuracy of the model,we found that MAPE in food web indices will increase with the reducing trophospecies number,and MAPE in food web function indices were smaller and more stable than those in food web structure indices.Therefore,trade-off between simplifying food webs and reflecting the status of ecosystem should be con-sidered in food web studies.These findings highlight the importance of aggregation methods and trophospecies number in the analy-sis of food web simplification.This study provided a framework to explore the extent to which food web models are affected by dif-ferent species aggregation,and will provide scientific basis for the construction of food webs.
文摘基于2018年海州湾及邻近海域的渔业资源底拖网调查数据,运用Ecopath with Ecosim 6.5(EwE)软件构建由26个功能群组成的海州湾及邻近海域生态系统Ecopath模型,对现阶段该生态系统的营养结构、营养相互关系和系统总特征等进行分析,旨在为实施基于生态系统的渔业管理提供理论依据。结果表明:海州湾及邻近海域生态系统各功能群的营养级范围为1.00~4.19,其中鱼类营养级范围较广,为3.22~4.19;浮游动物和其他软体动物受初级生产者和捕食者的双重作用,处于重要的营养位置;生态系统总体特征分析显示,该生态系统的总初级生产量与总呼吸量的比值为7.096,总初级生产量与总生物量的比值为56.866,系统的连接指数和系统杂食指数分别为0.429和0.204,说明该生态系统目前处于不成熟、不稳定的状态,容易受外界扰动的影响。本文通过对海州湾及邻近海域生态系统模型进行研究,解析了该海域营养结构和系统发育状况,将为海州湾渔业资源的可持续利用和科学管理提供理论依据。
