The food web of the pristine river (site 1), size of nodes is proportional to six measures of importance: D (a), nBC (b), K (c), TI3 (d), IH(V) (e) and KH(V) (f).

Food web properties at each time step.

Hedvig K. Nenzén (627986)
Daniel Montoya (627987)
Sara Varela (4246159)

September 2014

(a) Species richness (number of species), (b) total links (total number of links or trophic inter...

Major dimensions in food-web structure properties

Vermaat, J.E.
Dunne, J. A.
Gilbert, A.J.

January 2009

The covariance among a range of 20 network structural properties of food webs plus net primary produ...

Productivity, disturbance and ecosystem size have no influence on food chain length in seasonally connected rivers.

Danielle M Warfe
Timothy D Jardine
Neil E Pettit
Stephen K Hamilton
Bradley J Pusey
Stuart E Bunn
Peter M Davies
Michael M Douglas

The food web is one of the oldest and most central organising concepts in ecology and for decades, f...

Importance ranks of trophic groups in the food web of the pristine river (site 1).

Ferenc Jordán (34183)
Nerta Gjata (153416)
Shu Mei (153425)
Catherine M. Yule (153431)

July 2012

Ranking is based on topological (D, nBC, K, TI3) and dynam...

Food web structure in riverine landscapes

Guy Woodward
Alan G. Hildrew

January 2002

1. Most research on freshwater (and other) food webs has focused on apparently discrete communities,...

Spatial variability of the Po River food web and its comparison with the Danube River food web

Patonai, Katalin
Jordán, Ferenc
Castaldelli, Giuseppe
Congiu, Leonardo
Gavioli, Anna

January 2023

Freshwater ecosystems are experiencing unprecedented pressure globally. To address environmental cha...

Model food web mean path length and dominant eigenvalue as a function of nominal size and connectance.

Jane Shevtsov (803549)
Rosalyn Rael (803550)

October 2015

Each boxplot shows the median, 75th and 25th percentiles for each data set, with whiskers extendi...

Flow diagram of the food web.

Davide Agnetta (6208328)
Fabio Badalamenti (732712)
Francesco Colloca (430348)
Giovanni D’Anna (5989403)
Manfredi Di Lorenzo (6208331)
Fabio Fiorentino (513649)
Germana Garofalo (513647)
Michele Gristina (513648)
Lucio Labanchi (6208334)
Bernardo Patti (592386)
Carlo Pipitone (5989397)
Cosimo Solidoro (108515)
Simone Libralato (237149)

January 2019

Functional groups (nodes) by trophic levels (TL, y-axis) and by benthic (gray), demersal (yellow) an...

Trophic level, food chain length and omnivory in the Paraná River: a food web model approach in a floodplain river system

Saigo, Miguel
Zilli, Florencia Lucila
Marchese Garello, Mercedes Rosa
Demonte, Lucio Danilo

September 2015

To determine the mean trophic level and food chain length and to quantify omnivory in a floodplain l...

32P pathways in river Kelvin food web with (left panel) and without (right panel) predators.

Edoardo Calizza (417963)
Loreto Rossi (417964)
Maria Letizia Costantini (417965)

June 2013

Basal resources, i.e. fungi colonizing leaf bags: 1 = A. niger, 2 = C. herbarum, 3 = P. proliferu...

Effect of spatial scale on the network properties of estuarine food webs

Vinagre, Catarina
Costa, Maria José
Dunne, Jennifer A.

January 2017

Determining the spatial scale is a crucial stage in any ecological study. However, knowledge on the ...

Food web structure and the evolution of complex networks

Caldarelli, Guido
Garlaschelli, Diego
Pietronero, Luciano

January 2003

In addition to traditional properties such as the degree distribution P(k), in this work we propose ...

FOOD WEB STRUCTURE BUT NOT ROBUSTNESS DIFFER BETWEEN RIVERS, LAKES AND ESTUARIES

Canning, Adam Douglas
Death, Russell

March 2019

The pervading physical habitat differences between lakes, rivers, and estuaries should result in str...

Sankey plots showing the food webs for the (a) Upper, (b) Middle, and (c) Lower sections of the Po River, composed of functional groups resulting from the aggregation process.

Katalin Patonai (11465287)
Ferenc Jordán (34183)
Giuseppe Castaldelli (4226608)
Leonardo Congiu (353984)
Anna Gavioli (6388874)

July 2023

In each color, the T2-T5 aggregation steps are indicated (T1: size and age aggregation, not relevant...

Global network metrics for the three river sections (Upper, Middle, Lower Po) and the combined Master food web, in each consecutive taxonomic aggregation step (T1-T5).

Katalin Patonai (11465287)
Ferenc Jordán (34183)
Giuseppe Castaldelli (4226608)
Leonardo Congiu (353984)
Anna Gavioli (6388874)

July 2023

Six global metrics were computed: N (number of nodes), L (number of links), D (network density), CL ...

Food web properties at each time step.

Hedvig K. Nenzén (627986)
Daniel Montoya (627987)
Sara Varela (4246159)

September 2014

(a) Species richness (number of species), (b) total links (total number of links or trophic inter...

Major dimensions in food-web structure properties

Vermaat, J.E.
Dunne, J. A.
Gilbert, A.J.

January 2009

The covariance among a range of 20 network structural properties of food webs plus net primary produ...

Productivity, disturbance and ecosystem size have no influence on food chain length in seasonally connected rivers.

Danielle M Warfe
Timothy D Jardine
Neil E Pettit
Stephen K Hamilton
Bradley J Pusey
Stuart E Bunn
Peter M Davies
Michael M Douglas

The food web is one of the oldest and most central organising concepts in ecology and for decades, f...

Importance ranks of trophic groups in the food web of the pristine river (site 1).

Ferenc Jordán (34183)
Nerta Gjata (153416)
Shu Mei (153425)
Catherine M. Yule (153431)

July 2012

Ranking is based on topological (D, nBC, K, TI3) and dynam...

Food web structure in riverine landscapes

Guy Woodward
Alan G. Hildrew

January 2002

1. Most research on freshwater (and other) food webs has focused on apparently discrete communities,...

Spatial variability of the Po River food web and its comparison with the Danube River food web

Patonai, Katalin
Jordán, Ferenc
Castaldelli, Giuseppe
Congiu, Leonardo
Gavioli, Anna

January 2023

Freshwater ecosystems are experiencing unprecedented pressure globally. To address environmental cha...

Model food web mean path length and dominant eigenvalue as a function of nominal size and connectance.

Jane Shevtsov (803549)
Rosalyn Rael (803550)

October 2015

Each boxplot shows the median, 75th and 25th percentiles for each data set, with whiskers extendi...

Flow diagram of the food web.

Davide Agnetta (6208328)
Fabio Badalamenti (732712)
Francesco Colloca (430348)
Giovanni D’Anna (5989403)
Manfredi Di Lorenzo (6208331)
Fabio Fiorentino (513649)
Germana Garofalo (513647)
Michele Gristina (513648)
Lucio Labanchi (6208334)
Bernardo Patti (592386)
Carlo Pipitone (5989397)
Cosimo Solidoro (108515)
Simone Libralato (237149)

January 2019

Functional groups (nodes) by trophic levels (TL, y-axis) and by benthic (gray), demersal (yellow) an...

Trophic level, food chain length and omnivory in the Paraná River: a food web model approach in a floodplain river system

Saigo, Miguel
Zilli, Florencia Lucila
Marchese Garello, Mercedes Rosa
Demonte, Lucio Danilo

September 2015

To determine the mean trophic level and food chain length and to quantify omnivory in a floodplain l...

32P pathways in river Kelvin food web with (left panel) and without (right panel) predators.

Edoardo Calizza (417963)
Loreto Rossi (417964)
Maria Letizia Costantini (417965)

June 2013

Basal resources, i.e. fungi colonizing leaf bags: 1 = A. niger, 2 = C. herbarum, 3 = P. proliferu...

Effect of spatial scale on the network properties of estuarine food webs

Vinagre, Catarina
Costa, Maria José
Dunne, Jennifer A.

January 2017

Determining the spatial scale is a crucial stage in any ecological study. However, knowledge on the ...

Food web structure and the evolution of complex networks

Caldarelli, Guido
Garlaschelli, Diego
Pietronero, Luciano

January 2003

In addition to traditional properties such as the degree distribution P(k), in this work we propose ...

FOOD WEB STRUCTURE BUT NOT ROBUSTNESS DIFFER BETWEEN RIVERS, LAKES AND ESTUARIES

Canning, Adam Douglas
Death, Russell

March 2019

The pervading physical habitat differences between lakes, rivers, and estuaries should result in str...

Sankey plots showing the food webs for the (a) Upper, (b) Middle, and (c) Lower sections of the Po River, composed of functional groups resulting from the aggregation process.

Katalin Patonai (11465287)
Ferenc Jordán (34183)
Giuseppe Castaldelli (4226608)
Leonardo Congiu (353984)
Anna Gavioli (6388874)

July 2023

In each color, the T2-T5 aggregation steps are indicated (T1: size and age aggregation, not relevant...

Global network metrics for the three river sections (Upper, Middle, Lower Po) and the combined Master food web, in each consecutive taxonomic aggregation step (T1-T5).

Katalin Patonai (11465287)
Ferenc Jordán (34183)
Giuseppe Castaldelli (4226608)
Leonardo Congiu (353984)
Anna Gavioli (6388874)

July 2023

Six global metrics were computed: N (number of nodes), L (number of links), D (network density), CL ...

Food web properties at each time step.

Hedvig K. Nenzén (627986)
Daniel Montoya (627987)
Sara Varela (4246159)

September 2014

(a) Species richness (number of species), (b) total links (total number of links or trophic inter...

Major dimensions in food-web structure properties

Vermaat, J.E.
Dunne, J. A.
Gilbert, A.J.

January 2009

The covariance among a range of 20 network structural properties of food webs plus net primary produ...

Productivity, disturbance and ecosystem size have no influence on food chain length in seasonally connected rivers.

Danielle M Warfe
Timothy D Jardine
Neil E Pettit
Stephen K Hamilton
Bradley J Pusey
Stuart E Bunn
Peter M Davies
Michael M Douglas

The food web is one of the oldest and most central organising concepts in ecology and for decades, f...

The food web of the pristine river (site 1), size of nodes is proportional to six measures of importance: <i>D</i> (a), <i>nBC</i> (b), <i>K</i> (c), <i>TI<sup>3</sup></i> (d), <i>I<sub>H</sub>(V)</i> (e) and <i>K<sub>H</sub>(V)</i> (f).

Abstract

Extracted data

The food web of the pristine river (site 1), size of nodes is proportional to six measures of importance: <i>D</i> (a), <i>nBC</i> (b), <i>K</i> (c), <i>TI<sup>3</sup></i> (d), <i>I<sub>H</sub>(V)</i> (e) and <i>K<sub>H</sub>(V)</i> (f).

Abstract

Extracted data

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