pone.0246222.s009.pdf (113.86 kB)
Species interaction inference model intercomparison.
journal contribution
posted on 2021-10-20, 17:25 authored by Jie Li, Matteo ConvertinoA: causal interaction inference CCM model developed by [63]. B: linear association between species computed as Pearson correlation coefficient. TE-based causal interaction inference using Kernel and Gaussian estimators (C and D, respectively) in JIDT developed by [62].
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work provides dataorder phase transitioninteraction patterns derivedhorse mackerel dynamic dominant eigenvaluedecreasing dominant eigenvaluescreated pressing challengesbecoming exceedingly abundantatemporal seasonal sensitivityassess ecosystem susceptibilityenhanced community variabilityfish ecosystem experiencesglobal food securityglobal ecosystem healthdespite higher time20 ° ccoastal fish communitythreaten species existencespecies interaction organizationcommercially valuable speciesfish stock despitemonitoring fish ecosystemsseason critical transitionshigh temperatures statesdiv >< pdistinct temperature rangescooperative decaying speciessalient fish biodiversitybased species interactionscommunity abundance duefish communityfish ecosystemscooperative speciesglobal warmingsummer duespectrum transitionssalient linkslocal 20higher ecocritical slowingcarbon stockbiodiversity dynamicsvenomous speciesspecies dynamicskeystone speciesinvasive speciesvia cooperativemarine ecosystemstopologically differentterm trendsterm reductiontaxonomic richnesspoint resilienceobservations showmaizuru baylower cooperationlow temperatureslocally stablelarge decayjapanese anchovyimportant roleglobally unstablefree comparedecological productivitydriven toolscritically importantclimatic memory21st century2014 underpins
