Your browser doesn't support javascript.
loading
Experimental evidence of spatial signatures of approaching regime shifts in macroalgal canopies.
Rindi, L; Dal Bello, M; Benedetti-Cecchi, L.
Affiliation
  • Rindi L; Department of Biology, University of Pisa, CoNISMa, Via Derna 1, Pisa, Italy.
  • Dal Bello M; Department of Biology, University of Pisa, CoNISMa, Via Derna 1, Pisa, Italy.
  • Benedetti-Cecchi L; Department of Biology, University of Pisa, CoNISMa, Via Derna 1, Pisa, Italy.
Ecology ; 99(8): 1709-1715, 2018 08.
Article in En | MEDLINE | ID: mdl-29797316
ABSTRACT
Developing early warning signals to predict regime shifts in ecosystems is a central issue in current ecological research. While there are many studies addressing temporal early warning indicators, research into spatial indicators is far behind, with field experiments even more rare. Here, we tested the performance of spatial early warning signals in an intertidal macroalgal system, where removal of algal canopies pushed the system toward a tipping point (corresponding to approximately 75% of canopy loss), marking the transition between a canopy- to a turf-dominated state. We performed a two-year experiment where spatial early warning indicators were assessed in transects where the canopy was differentially removed (from 0 to 100%). Unlike Moran correlation coefficient at lag-1, spatial variance, skewness, and spatial spectra at low frequency increased along the gradient of canopy degradation and dropped, or did not show any further increase beyond the transition point from a canopy- to a turf-dominated state (100% canopy removal). Our study provides direct evidence of the suitability of spatial early warning signals to anticipate regime shifts in natural ecosystems, emphasizing the importance of field experiments as a powerful tool to establish causal relationships between environmental stressors and early warning indicators.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Ecology Language: En Journal: Ecology Year: 2018 Type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Ecology Language: En Journal: Ecology Year: 2018 Type: Article Affiliation country: Italy