Spatial vegetation patterns and imminent desertification in Mediterranean arid ecosystems
- PMID: 17851524
- DOI: 10.1038/nature06111
Spatial vegetation patterns and imminent desertification in Mediterranean arid ecosystems
Abstract
Humans and climate affect ecosystems and their services, which may involve continuous and discontinuous transitions from one stable state to another. Discontinuous transitions are abrupt, irreversible and among the most catastrophic changes of ecosystems identified. For terrestrial ecosystems, it has been hypothesized that vegetation patchiness could be used as a signature of imminent transitions. Here, we analyse how vegetation patchiness changes in arid ecosystems with different grazing pressures, using both field data and a modelling approach. In the modelling approach, we extrapolated our analysis to even higher grazing pressures to investigate the vegetation patchiness when desertification is imminent. In three arid Mediterranean ecosystems in Spain, Greece and Morocco, we found that the patch-size distribution of the vegetation follows a power law. Using a stochastic cellular automaton model, we show that local positive interactions among plants can explain such power-law distributions. Furthermore, with increasing grazing pressure, the field data revealed consistent deviations from power laws. Increased grazing pressure leads to similar deviations in the model. When grazing was further increased in the model, we found that these deviations always and only occurred close to transition to desert, independent of the type of transition, and regardless of the vegetation cover. Therefore, we propose that patch-size distributions may be a warning signal for the onset of desertification.
Comment in
-
Ecology: scaling laws in the drier.Nature. 2007 Sep 13;449(7159):151-3. doi: 10.1038/449151a. Nature. 2007. PMID: 17851503 No abstract available.
Similar articles
-
Local facilitation, bistability and transitions in arid ecosystems.Theor Popul Biol. 2007 May;71(3):367-79. doi: 10.1016/j.tpb.2006.09.003. Epub 2006 Sep 29. Theor Popul Biol. 2007. PMID: 17097700
-
Changing skewness: an early warning signal of regime shifts in ecosystems.Ecol Lett. 2008 May;11(5):450-60. doi: 10.1111/j.1461-0248.2008.01160.x. Epub 2008 Feb 12. Ecol Lett. 2008. PMID: 18279354
-
Slowing down in spatially patterned ecosystems at the brink of collapse.Am Nat. 2011 Jun;177(6):E153-66. doi: 10.1086/659945. Am Nat. 2011. PMID: 21597246
-
The role of ground water in arid/semiarid ecosystems, Northwest China.Ground Water. 2005 Jul-Aug;43(4):471-7. doi: 10.1111/j.1745-6584.2005.0063.x. Ground Water. 2005. PMID: 16029172 Review.
-
Resource pulses and mammalian dynamics: conceptual models for hummock grasslands and other Australian desert habitats.Biol Rev Camb Philos Soc. 2010 Aug;85(3):501-21. doi: 10.1111/j.1469-185X.2009.00113.x. Epub 2009 Dec 15. Biol Rev Camb Philos Soc. 2010. PMID: 20015313 Review.
Cited by
-
Network catastrophe: self-organized patterns reveal both the instability and the structure of complex networks.Sci Rep. 2015 Mar 30;5:9450. doi: 10.1038/srep09450. Sci Rep. 2015. PMID: 25822423 Free PMC article.
-
Early-warning signals for critical transitions.Nature. 2009 Sep 3;461(7260):53-9. doi: 10.1038/nature08227. Nature. 2009. PMID: 19727193 Review.
-
Periodic versus scale-free patterns in dryland vegetation.Proc Biol Sci. 2010 Jun 7;277(1688):1771-6. doi: 10.1098/rspb.2009.2208. Epub 2010 Feb 4. Proc Biol Sci. 2010. PMID: 20133355 Free PMC article.
-
Exploiting delayed transitions to sustain semiarid ecosystems after catastrophic shifts.J R Soc Interface. 2018 Jun;15(143):20180083. doi: 10.1098/rsif.2018.0083. J R Soc Interface. 2018. PMID: 29925580 Free PMC article.
-
Spatial early warning signals for impending regime shifts: A practical framework for application in real-world landscapes.Glob Chang Biol. 2019 Jun;25(6):1905-1921. doi: 10.1111/gcb.14591. Epub 2019 Apr 1. Glob Chang Biol. 2019. PMID: 30761695 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources