Data from: How structured is the entangled bank? The surprisingly simple organization of multiplex ecological networks leads to increased persistence and resilience

• Main Authors: Kéfi, Sonia, Miele, Vincent, Wieters, Evie A., Navarrete, Sergio A., Berlow, Eric L.
• Format: Dataset
• Language: English
• Published: Dryad 2017
• Subjects: Chiton cummingii; Acanthopleura echinata; Tonicia elegans; Scurria viridula; Stichaster striatus; Petrolisthes angulosus; Onchidella; Petroglossum spp.; Enteromorpha compressa; Sarcothalia; Anthotoe spp.; Petrolisthes spinifrons; Adenocystis utricularis; Schyzimenia doryophora; Polysiphonia spp.; Scurria scurra; Acanthina monodon; Lottia orbigny; Bunodactis spp.; Siphonaria lesoni; Chaetopleura peruviana; rocky intertidal; Fissurella limbata; stochastic block model; Colpomenia sinuosa; Chiton latus; Acanthocyclus hassleri; Rhizoclonium cilindricum; Semimytilus algosus; Tegula atra; Phragmatopoma spp.; Codium dimorpha; Tonicia benaventii; Fissurella cummingii; Petrolisthes punctatus; Nothogenia; Scythosiphon lomentaria; Plocamium cartilageneum; Montemaria horridula; Gymnogongrus furcellatus; Prionitis spp.; Heliaster helianthus; Cladophora spp.; Multiplex Network; Scurria zebrina; Concholepas concholepas; Scurria ceciliana; Fissurella puhlcra; Parantheopsis; Bryopsis spp.; Gelidium rex; Trimusculus peruvianus; Hildenbrandia lecanelieri; Fissurella crassa; Rhodymenia sp.; Colpomenia phaeodactyla; Nothobalanus flosculus; Ceramium spp.; Trematocarpus; Ulvella spp.; Enoplochiton niger; Fissurella costata; Isolauctis spp.; Brachidontes granulata; ecological network; marine ecosystem; Fissurella picta; Pyura chilensis; gulls; Scurria plana; Austrolittorina araucana; Rama novazelandensis; Perumytilus purpuratus; Scurria variabilis; Glossophora kunthii; Halopteris funicularis; Centroceras spp.; Phymactis spp.; Ahnfeltiopsis spp.; Schottera nicaensis; Petalonia fascia; Nodolittorina peruviana; Petrolisthes tuberculosus; Balanus laevis; cincloides; Fissurella maxima; Lessonia nigrescens; Nothochthamalus scabrosus; Ulva rigida; Petrolisthes tuberculatus; rocky intertidal; Ralfsia californica; Porphyra spp.; Scurria araucana; Acanthocyclus gayi; Grateloupia; Ectocarpus silicosus; Austromegabalanus psittacus; Corallina offcinalis var. chilensis; Lithothamnion spp.; Mazzaella laminarioides; Chaetomorpha spp.; Chondrus canaliculatus; Laurencia chilensis; Tonicia chilensis; Peysonella spp.; Gelidium spp.; Jhelius cirratus; Durvillaea antarctica; Chiton granosus; Antarc*; Antarctica
• Online Access: https://dx.doi.org/10.5061/dryad.b4vg0; http://datadryad.org/stash/dataset/doi:10.5061/dryad.b4vg0

Species are linked to each other by a myriad of positive and negative interactions. This complex spectrum of interactions constitutes a network of links that mediates ecological communities’ response to perturbations, such as exploitation and climate change. In the last decades, there have been great advances in the study of intricate ecological networks. We have, nonetheless, lacked both the data and the tools to more rigorously understand the patterning of multiple interaction types between species (i.e., “multiplex networks”), as well as their consequences for community dynamics. Using network statistical modeling applied to a comprehensive ecological network, which includes trophic and diverse non-trophic links, we provide a first glimpse at what the full “entangled bank” of species looks like. The community exhibits clear multidimensional structure, which is taxonomically coherent and broadly predictable from species traits. Moreover, dynamic simulations suggest that this non-random patterning of how diverse non-trophic interactions map onto the food web could allow for higher species persistence and higher total biomass than expected by chance and tends to promote a higher robustness to extinctions. : ReadMeAdjacency matrix for the trophic layerThe file is TAB-delimited and contains 107 lines and 108 columns. The first line is composed by two TAB-keys followed by the numerical IDs of the 106 species. The 106 following lines are composed as follows. The first and second columns display the numerical ID and the name of the species respectively. The species name can include whitespace characters. The remaining columns are the adjancency matrix values, i.e. 1/0 for presence/absence of a link. A link between species i and j means species i is eaten by species j.chilean_TI.txtAdjacency matrix for the positive non-trophic layerSame format as chilean-TI.txt. A link between species i and j means that species i is the target of a positive interaction and species j is the source.chilean_NTIpos.txtSpecies properties and informationSpecies properties and information, in Excel formatchilean_metadata.xlsAdjacency matrix for the negative non-trophic layerAdjacency matrix for the negative non-trophic layer. Same format as chilean-TI.txt. A link between species i and j means that species i is the target of a negative interaction and species j is the source.chilean_NTIneg.txtFigure 2 dataIn/out degree for each species in the following order : trophic out, trophic In, positive out, positive in, negative out, negative in.figure2_degrees.txtFigure 3 datafigure3.xlsFigure S2 datafigureS2.txtFigure S3 datafigureS3.xlsFigure S4 dataIngoing links probabilities of each cluster for each type of interaction (3 matrices 14x14)figureS4.txtFigure S5 dataOutgoing links probabilities of each cluster for each type of interaction (3 matrices 14x14)figureS5.txtFigure S6 datafigureS6.csvFigure S7 dataEach line displays the biomass after the extinction of each of the 14 species. First line is the Chilean web, next lines are the 500 random networks.figureS7.txtFigure S8 datafigureS8.txtFigures S9-10 dataRandom network keeping the same sequence of in and out degrees as those of the Chilean web.figureS9-10.xlsFigure S11 dataDistance matrix between interaction parameters estimated by the probabilistic modeling for the different clusters.figureS11.txtFigure S12 dataMetadata required to run the regression tree analysisfigureS12_chilean_metadata.xls