2020
DOI: 10.1016/j.fooweb.2020.e00166
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Green vs brown food web: Effects of habitat type on multidimensional stability proxies for a highly-resolved Antarctic food web

Abstract: Please cite this article as: G. Cordone, V. Salinas, T.I. Marina, et al., Green vs brown food web: Effects of habitat type on multidimensional stability proxies for a highly-resolved Antarctic food web, Food Webs (2020),

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Cited by 28 publications
(26 citation statements)
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References 127 publications
(134 reference statements)
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“…Potter Cove had each of the four modules associated to an independent type of basal resource (1-macroalgae, 2-aged detritus, 3fresh detritus/necromass/diatoms and 4-phytoplankton) with different habitats. These results support the important role energy pathways and habitat type play in structuring Antarctic food webs (Cordone et al 2020). This pattern was not evident for Beagle Channel.…”
Section: Food Web Differencessupporting
confidence: 77%
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“…Potter Cove had each of the four modules associated to an independent type of basal resource (1-macroalgae, 2-aged detritus, 3fresh detritus/necromass/diatoms and 4-phytoplankton) with different habitats. These results support the important role energy pathways and habitat type play in structuring Antarctic food webs (Cordone et al 2020). This pattern was not evident for Beagle Channel.…”
Section: Food Web Differencessupporting
confidence: 77%
“…In order to perform a statistically robust comparison between food webs, we used the Strona Curveball algorithm (Strona et al 2014) to generate an ecological meaningful distribution of the metrics (Cordone et al 2020;Kéfi et al 2016). It randomizes the network structure maintaining the number of prey and predators for each species, meaning that species have the same degree, but allow them to interact with different species than in the original network.…”
Section: Food Web Structure and Stability Comparison Using A Randomization Algorithmmentioning
confidence: 99%
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“…Most Southern Ocean species have broad distributions with trophic interactions varying across seasons, regions, and habitats. Such variation impacts trajectories of network reorganisation following disturbances, illustrating the importance of accounting for spatial heterogeneity (Cordone et al, 2020; also see Section " Ecological Network Models" and Box 1 for a description of ecological networks and network modelling in a food web context). Whilst it is impossible to empirically document the spatial variability and scales of all trophic interactions across the Southern Ocean, significant progress has been made in recent decades toward characterising Southern Ocean food webs at a regional scale (see Figure 1 for locations).…”
Section: Introductionmentioning
confidence: 99%
“…Microbial organisms comprise 14% of all existing biomass on Earth (Bar-On et al, 2018;Flemming & Wuertz, 2019), while the entirety of the Animal Kingdom, for comparison, only represents 0.3% (Bar-On et al, 2018). Microbial decomposition is responsible for the recycling of organic matter back into food webs, thus partly subsidizing the flux of energy and matter in all ecosystems (Cordone et al, 2020;Mougi, 2020). Through respiration and decomposition of existing carbon pools, microorganisms are largely regarded as one of the most important biotic controls of the global carbon cycle (Bardgett et al, 2008;Gougoulias et al, 2014;Jansson & Hofmockel, 2020;Schimel & Schaeffer, 2012;Wang, 2018).…”
Section: Introductionmentioning
confidence: 99%