WAND: an ecological network analysis user-friendly tool

Allesina, Stefano; Bondavalli, Cristina

doi:10.1016/j.envsoft.2003.10.002

Cited by 81 publications

(20 citation statements)

References 19 publications

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“…The software that can run these analyses is readily available (Ulanowicz & Kay 1991, Christensen & Pauly 1992, Allesina & Bondavalli 2004, Fath & Borret 2006, and can be downloaded from www. glerl.…”

Section: Introductionmentioning

confidence: 99%

Effect of invasive species on the structure and function of the Sylt-Rømø Bight ecosystem, northern Wadden Sea, over three time periods

Baird¹,

Asmus²,

Asmus³

2012

Mar. Ecol. Prog. Ser.

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, respectively, in 2010. Reasons for the increases in oysters and A. modestus are related to climate change which favored strong recruitment of the invasive species during unseasonably warm summers, and the subsequent decline to weak recruitment of the invasive species and an unseasonably cold 2009/2010 winter. We used ecological network analysis (ENA) to quantify ecosystem structure and function through analyses of energy (or carbon) transfer between living and non-living compartments in each of the 3 network models. Results from ENA show an increase in most of the system attributes, but a decline in number of cycles, the trophic efficiency, the ascendency ratios, and relative redundancy from 1995 to 2007; these are ascribed to the impact of the invasive species on system organization and function. Following the dramatic decline of the invasive species from 2007 to 2010 most of the system attributes decreased. The variance in the biomass and associated flows of other compartments in addition to that of the invasive species has also played a role in the changes in system attributes and function.

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Section: Introductionmentioning

confidence: 99%

Effect of invasive species on the structure and function of the Sylt-Rømø Bight ecosystem, northern Wadden Sea, over three time periods

Baird¹,

Asmus²,

Asmus³

2012

Mar. Ecol. Prog. Ser.

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“…Investigations on the elements C, N and P per trophic level, their transfer efficiencies and recycling rates were conducted by analysing all networks using the software WAND (Allesina and Bondavalli 2004). …”

Section: Calculation Of Nutrient Limitations and Limiting Sourcesmentioning

confidence: 99%

Variable nutrient stoichiometry (carbon:nitrogen:phosphorus) across trophic levels determines community and ecosystem properties in an oligotrophic mangrove system

et al. 2015

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Our study investigated the carbon:nitrogen:phosphorus (C:N:P) stoichiometry of mangrove island of the Mesoamerican Barrier Reef (Twin Cays, Belize). The C:N:P of abiotic and biotic components of this oligotrophic ecosystem was measured and served to build networks of nutrient flows for three distinct mangrove forest zones (tall seaward fringing forest, inland dwarf forests and a transitional zone). Between forest zones, the stoichiometry of primary producers, heterotrophs and abiotic components did not change significantly, but there was a significant difference in C:N:P, and C, N, and P biomass, between the functional groups mangrove trees, other primary producers, heterotrophs, and abiotic components. C:N:P decreased with increasing trophic level. Nutrient recycling in the food webs was highest for P, and high transfer efficiencies between trophic levels of P and N also indicated an overall shortage of these nutrients when compared to C. Heterotrophs were sometimes, but not always, limited by the same nutrient as the primary producers. Mangrove trees and the primary tree consumers were P limited, whereas the invertebrates consuming leaf litter and detritus were N limited. Most compartments were limited by P or N (not by C), and the relative depletion rate of food sources was fastest for P. P transfers thus constituted a bottleneck of nutrient transfer on Twin Cays. This is the first comprehensive ecosystem study of nutrient transfers in a mangrove ecosystem, illustrating some mechanisms (e.g. recycling rates, transfer efficiencies) which oligotrophic systems use in order to build up biomass and food webs spanning various trophic levels.

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“…These data were incorporated into an adjacency (diet) matrix which was constructed using diet information from system and non-system specific literature. This matrix was used as input into ecological network analysis software (Ulanowicz and Kay, 1991;Allesina and Bondavalli, 2004).…”

Section: Ecological Network Constructionmentioning

confidence: 99%

“…Here, an amount equivalent to 5% of the residual flow was allocated to each specified trophic link, until either the demand by the recipient, or the resource was exhausted. Thereafter, the model was mass balanced and analysed using the software WAND (Allesina and Bondavalli, 2004). Several ecosystem indices, which are described in more detail below, were used to compare the St Lucia ecosystem on a spatial (South and North Lake) and temporal scale (winter periods of [2006][2007][2008].…”

Section: Ecological Network Constructionmentioning

confidence: 99%

Network analysis indices reflect extreme hydrodynamic conditions in a shallow estuarine lake (Lake St Lucia), South Africa

Chrystal

Scharler

2014

Ecological Indicators

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WAND: an ecological network analysis user-friendly tool

Cited by 81 publications

References 19 publications

Effect of invasive species on the structure and function of the Sylt-Rømø Bight ecosystem, northern Wadden Sea, over three time periods

Effect of invasive species on the structure and function of the Sylt-Rømø Bight ecosystem, northern Wadden Sea, over three time periods

Variable nutrient stoichiometry (carbon:nitrogen:phosphorus) across trophic levels determines community and ecosystem properties in an oligotrophic mangrove system

Network analysis indices reflect extreme hydrodynamic conditions in a shallow estuarine lake (Lake St Lucia), South Africa

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