@ecomplex_lab

Ecology and Complex Systems research group @CadicUshuaia | @ungsoficial @INEDES1 | @CONICETCenpat Account manager: @tomimarina1

 Argentina
github.com/EcoComplex
Joined August 2020
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Multiplex ecological network visualization with R package `multiweb` github.com/lsaravia/multiweb
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3) summarized observed food web changes and hypothesize on stressor impacts
Conceptual diagram: from species’ stressors to food web effects. A stressor (e.g., global warming) will affect one of the following species’ characteristics: metabolism, population biomass, distribution, and diet. Next, we considered node- and network-level properties relevant to the hypothesized stressor effects on the food webs.

ALT Conceptual diagram: from species’ stressors to food web effects. A stressor (e.g., global warming) will affect one of the following species’ characteristics: metabolism, population biomass, distribution, and diet. Next, we considered node- and network-level properties relevant to the hypothesized stressor effects on the food webs.

Summary of hypothesized food web (FW) effects according to the main stressors reported for each study area.

ALT Summary of hypothesized food web (FW) effects according to the main stressors reported for each study area.

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2) identified predominant global change-related stressors affecting each ecosystem
Just a glimpse of the recorded stressors.

ALT Just a glimpse of the recorded stressors.

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We: 1) described the structure of marine food webs along the latitudinal axis using a network approach
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We summarized potential stressor responses in marine food webs from the Southwest Atlantic to the Antarctic (45–78ºS): San Jorge Gulf, Beagle Channel, Burdwood Bank, Scotia Sea, & Potter Cove and the Weddell Sea in Antarctica
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🚨Pasantía y/o Tesis de Grado🚨 Buscamos estudiante avanzado de Biología de la @unpsjb_madryn que le interese hacer una pasantía con oportunidad de tesis de grado estudiando #peces y #RedesTróficas Postulaciones hasta el 15 de julio🗓️
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Res 2/2 We studied the #complexity #stability relationship of the #foodweb & found: (1) high sensitivity to small perturbations, suggesting that Potter Cove would be locally unstable; (2) high persistence to long-range perturbations, suggesting global #stability of the #ecosystem
Modularity versus connectance when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds on secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original connectance (0.04).

ALT Modularity versus connectance when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds on secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original connectance (0.04).

Quasi-Sign Stability versus connectance when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds on secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original connectance (0.037).

ALT Quasi-Sign Stability versus connectance when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds on secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original connectance (0.037).

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Res 1/2 We found different responses for #connectance & #modularity depending on the extinction criteria used, e.g., large increase in #modularity and rapid decrease in #stability when the most connected & relatively high-trophic level species were removed
Connectance changes when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds for secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original connectance (0.037).

ALT Connectance changes when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds for secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original connectance (0.037).

Modularity changes when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds for secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original modularity (0.37).

ALT Modularity changes when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds for secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original modularity (0.37).

Quasi-Sign Stability changes when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds for secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original QSS (2.76).

ALT Quasi-Sign Stability changes when removing species by degree (top panels) and trophic level (bottom panels), considering four thresholds for secondary extinction (0.2, 0.4, 0.6 and 0.8). Black triangle indicates the original QSS (2.76).

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M&M 1/2 We performed in silico #extinctions on the #foodweb of Potter Cove marine #ecosystem #Antarctica This ecosystem is a #biodiversity hotspot, where #GlobalWarming is impacting the benthic & pelagic communities
Map of Potter Cove, 25 de Mayo/King George Is.; the Argentinian scientific station, Carlini Base, is highlighted.

ALT Map of Potter Cove, 25 de Mayo/King George Is.; the Argentinian scientific station, Carlini Base, is highlighted.

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