Nitrogen cycling networks of coastal ecosystems: influence of trophic status and primary producer form

Christian, Robert R.; Forés, Elisenda; Comı́n, Francisco A.; Viaroli, Pierluigi; Naldi, Mariachiara; Ferrari, I.

doi:10.1016/0304-3800(95)00019-4

Cited by 68 publications

(38 citation statements)

References 20 publications

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“…It is a highly eutrophic coastal lagoon, intensely impacted by human use, with access to the northern Adriatic Sea restricted by sand bars. Freshwater comes from the Po River tributary, the Po di Goro, with a residence time varying from days to weeks, depending largely on the flow of the Po di Goro (Christian et al, 1996). The Po River is the largest Italian river (652 km), with a mean discharge rate into the Adriatic Sea of 1600 m 3 s À1 (Raicich, 1994), and it accounts for 49% of the total riverine inputs to the Adriatic Sea (Tankéré et al, 2000).…”

Section: Area Descriptionmentioning

confidence: 99%

Biological monitoring of wild thicklip grey mullet (Chelon labrosus), golden grey mullet (Liza aurata), thinlip mullet (Liza ramada) and flathead mullet (Mugil cephalus) (Pisces: Mugilidae) from different Adriatic sites: meristic counts and skeletal anomalies

Boglione

Costa

Giganti

et al. 2006

Ecological Indicators

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This paper reports on a part of PRISMA project, funded by the Italian Ministry of Education, University and Research (M.U.R.S.T.), involving the biomonitoring of fish populations in two different Adriatic Sea sites by using some integrated descriptors at organismic level (skeletal anomalies and meristic count variation). Given the scarcity of up-to-date data on biology, physical and chemical oceanography, and environmental geophysics, as well on the degree of pollution of this Sea, the goal of the project was to contribute at enhancing the knowledge on environmental biology of Adriatic Sea. In particular, this part of the project analyzed different samplings of some mullets species for the presence of skeletal malformations under the hypothesis that stressed environment should induce alteration in skeletal development pattern in fish, as indicated by many authors. So, the investigation on mullets skeletal structures was utilized to monitor two different Adriatic Sea sites, where exhaustive information (chemical analysis of water and sediment, i.e.) on environmental conditions lack.We observed a total of 2169 individuals, 79% of which were fry and the remainder sub-adults, collected during the seasonal migration in freshwater (spring and autumn 1997) by purse-seine. Chelon labrosus accounted for 18% of the samples, Liza aurata 24%, Liza ramada 22% and Mugil cephalus 36%. Fish were sampled in two Adriatic sites, Sacca di Goro (northern Italy, Po River delta) and Lake Lesina (southern Italy). Other samplings from Tyrrhenian Sea (Fiumicino, Tiber river mouth) and from an aquaculture facility (Grosseto) were used in order to obtain additional information on skeletal plasticity of Mugilidae. Observations included meristic counts and skeletal anomalies and some multi-parametric analyses were performed on the data set. The results showed significant differences among the type and rate of skeletal anomalies observed in the fish samples: as far as Adriatic samples are concerned, higher malformation charge was observed in the Sacca di Goro individuals than in Lesina ones. Further, L. aurata showed a non-specific skeletal pattern and the lowest frequency of deformed individual (8.6% of total

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Section: Area Descriptionmentioning

confidence: 99%

Biological monitoring of wild thicklip grey mullet (Chelon labrosus), golden grey mullet (Liza aurata), thinlip mullet (Liza ramada) and flathead mullet (Mugil cephalus) (Pisces: Mugilidae) from different Adriatic sites: meristic counts and skeletal anomalies

Boglione

Costa

Giganti

et al. 2006

Ecological Indicators

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“…Since the earlier developments of NA, there have been several applications to study ecosystem properties (e.g. Baird and Ulanowicz 1993;Christian et al 1996;Heymans et al 2002), but seldom to study agro-ecosystems (e.g. Fores and Christian 1993;Dalsgaard and Oficial 1997;Groot et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Analysing integration and diversity in agro-ecosystems by using indicators of network analysis

Rufino

Hengsdijk

Verhagen

2009

Nutr Cycl Agroecosyst

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Diversity of farming activities may increase income stability and reduce risks to resourcepoor households, while integration-using the outputs of one activity as input in another activity-may reduce dependency on external resources. In practice, diversity and integration are poorly defined, and there is no method to characterise them, hampering the exploration of their benefits. We introduce a method based on network analysis (NA) to assess the diversity and integration in farm household systems by using the Finn cycling index to characterise integration of farming activities, and the average mutual information, and the statistical uncertainty (H R ) to characterise diversity of flows. We used nitrogen (N) flows in an application of NA to crop-livestock systems of the highlands of Northern Ethiopia. N recycling was low (FCI \ 3%) in these systems independently of the farm type. Even with improved N management FCI was lower than 10%. Since large amounts of N are withdrawn from the system with the harvests, there are relatively few opportunities for recycling. The diversity in N flows increased from the poor to the wealthier farm households, but differences were small. The wealthier farm households did not recycle more N than the relatively less diverse and poorer farm household. The definition of the system and compartments boundaries must be made explicit in any application of the method as these strongly affect the results. NA appears useful to assess the effects of farm management practices on system performance and to support discussions on diversity and integration of agro-ecosystems.

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Section: Introductionmentioning

confidence: 99%

“…Measurements of biomass transfer between functional groups and trophic efficiency provide the needed information for evaluating the impact of change on some groups and their interrelations within the ecosystem via trophic interactions. [2][3][4].Estuaries of large rivers and their adjoining coastal waters are one of the typical marine ecosystems. The Pearl River is the second largest river in China, in terms of the flow rate.…”

mentioning

confidence: 99%

A trophic model of the Pearl River Delta coastal ecosystem

Duan

Liu

et al. 2009

Ocean & Coastal Management

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Nitrogen cycling networks of coastal ecosystems: influence of trophic status and primary producer form

Cited by 68 publications

References 20 publications

Biological monitoring of wild thicklip grey mullet (Chelon labrosus), golden grey mullet (Liza aurata), thinlip mullet (Liza ramada) and flathead mullet (Mugil cephalus) (Pisces: Mugilidae) from different Adriatic sites: meristic counts and skeletal anomalies

Biological monitoring of wild thicklip grey mullet (Chelon labrosus), golden grey mullet (Liza aurata), thinlip mullet (Liza ramada) and flathead mullet (Mugil cephalus) (Pisces: Mugilidae) from different Adriatic sites: meristic counts and skeletal anomalies

Analysing integration and diversity in agro-ecosystems by using indicators of network analysis

A trophic model of the Pearl River Delta coastal ecosystem

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