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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1016/j.ecolmodel.2017.09.009 |
Temporal variation of keystone species and their impact on system performance in a South African estuarine ecosystem. | |
Banerjee A; Scharler UM; Fath BD; Ray S | |
发表日期 | 2017 |
出处 | Ecological Modelling 363: 207-220 |
出版年 | 2017 |
语种 | 英语 |
摘要 | Anthropogenic intervention along with natural variability can both influence and compromise continued ecosystem functioning. Ecological network analysis (ENA) was used to explore ecosystem functioning following disturbances to food web networks of a South African estuary, Mdloti, under different seasons. Keystone species, in particular, play an important structural role in spite of having low levels of presence in terms of biomass. From networks of carbon exchanges, the keystone species are identified which include high trophic level carnivorous fish species like Argyrosomus japonicus, Caranx sexfasciatus and Monodactylus falciformis. It is observed that keystone species differed between seasons, according to changing conditions of the estuary. The positive and negative direct and indirect effects that the keystone species have on the different components of the system are evaluated by a Mixed Trophic Impacts (MTI) analysis and results of the direct-indirect impacts analysis are not consistent across seasons.Results reinforce the fact that the keystone species are context dependent as they show variation over the different networks following species composition change following alteration of the estuaries physical status and season. To simulate disturbance, the keystone species biomass in the initial five networks was changed by 10% in stepwise intervals up to ± 99% and it was observed that the system is somewhat resistant to the perturbation effects of the keystone species. |
主题 | Advanced Systems Analysis (ASA) ; Young Scientists Summer Program (YSSP) |
关键词 | Ecological network analysis Food web Keystoneness index Mdloti estuary Mixed trophic impacts |
URL | http://pure.iiasa.ac.at/id/eprint/14853/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131142 |
推荐引用方式 GB/T 7714 | Banerjee A,Scharler UM,Fath BD,et al. Temporal variation of keystone species and their impact on system performance in a South African estuarine ecosystem.. 2017. |
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