BUSCADOR RECOLECTA

Urchin and Algal cover survey This file contains information on macroalgal cover to urchin biomasses from field surveys in two regions in the Mediterranean. Region 1 (high nutrient regions) and region 2 (low nutrient region). This data was obtained from 50x50cm quadrats in several locations in each region. Algae_Urchin_2013 (TRBase).txt Code R This file contains the R code used to determine thresholds, Predicting where state-changing thresholds lie can be inherently complex in ecosystems characterized by nonlinear dynamics. Unpacking the mechanisms underlying these transitions can help considerably reduce this unpredictability. We used empirical observations, field and laboratory experiments, and mathematical models to examine how differences in nutrient regimes mediate the capacity of macrophyte communities to sustain sea urchin grazing. In relatively nutrient-rich conditions, macrophyte systems were more resilient to grazing, shifting to barrens beyond 1 800 g m−2 (urchin biomass), more than twice the threshold of nutrient-poor conditions. The mechanisms driving these differences are linked to how nutrients mediate urchin foraging and algal growth: controlled experiments showed that low-nutrient regimes trigger compensatory feeding and reduce plant growth, mechanisms supported by our consumer–resource model. These mechanisms act together to halve macrophyte community resilience. Our study demonstrates that by mediating the underlying drivers, inherent conditions can strongly influence the buffer capacity of nonlinear systems., Peer reviewed

Dades primàries associades a un article publicat a la revista PLoS ONE http://doi.org/10.1371/journal.pone.0184698, Podeu consultar l'article a: http://hdl.handle.net/2445/119911, Dades obtingudes en assajos on es presenta una pista audiovisual associada a un esdeveniment futur ('target') que apareix a la dreta o a l'esquerra de la pantalla, després d'un interval de temps curt o llarg, segons la pista. Els assajos estan codificats de tal manera que es pot saber què ha vist cada particpant en cada un dels assajos (pista E= Elmo / pista G = Big Birg; S = Slow (4 sec interval) / F = Fast (2 sec interval); R = Right (right location) / L = Left (left location). Per tots els participants es va associaciar E/S i G/F. L'associació d'espai (R-L) i temps (S-F) es va contrabalancejar entre els participants. Dades generades amb raw data eye tracking system (Tobii). Els arxius contenen informació de l'edat dels participants per poder separar els dos grups (12 mesos i 15 mesos), codi del participant i una inicial (per a comprovacions internes).