Literature DB >> 23530230

Anticipating land surface change.

Richard Streeter1, Andrew J Dugmore.   

Abstract

The interplay of human actions and natural processes over varied spatial and temporal scales can result in abrupt transitions between contrasting land surface states. Understanding these transitions is a key goal of sustainability science because they can represent abrupt losses of natural capital. This paper recognizes flickering between alternate land surface states in advance of threshold change and critical slowing down in advance of both threshold changes and noncritical transformation. The early warning signals we observe are rises in autocorrelation, variance, and skewness within millimeter-resolution thickness measurements of tephra layers deposited in A.D. 2010 and A.D. 2011. These signals reflect changing patterns of surface vegetation, which are known to provide early warning signals of critical transformations. They were observed toward migrating soil erosion fronts, cryoturbation limits, and expanding deflation zones, thus providing potential early warning signals of land surface change. The record of the spatial patterning of vegetation contained in contemporary tephra layers shows how proximity to land surface change could be assessed in the widespread regions affected by shallow layers of volcanic fallout (those that can be subsumed within the existing vegetation cover). This insight shows how we could use tephra layers in the stratigraphic record to identify "near misses," close encounters with thresholds that did not lead to tipping points, and thus provide additional tools for archaeology, sustainability science, and contemporary land management.

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Year:  2013        PMID: 23530230      PMCID: PMC3625346          DOI: 10.1073/pnas.1220161110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  16 in total

Review 1.  Self-organized patchiness and catastrophic shifts in ecosystems.

Authors:  Max Rietkerk; Stefan C Dekker; Peter C de Ruiter; Johan van de Koppel
Journal:  Science       Date:  2004-09-24       Impact factor: 47.728

2.  Recovery rates reflect distance to a tipping point in a living system.

Authors:  Annelies J Veraart; Elisabeth J Faassen; Vasilis Dakos; Egbert H van Nes; Miquel Lürling; Marten Scheffer
Journal:  Nature       Date:  2011-12-25       Impact factor: 49.962

3.  Plague and landscape resilience in premodern Iceland.

Authors:  Richard Streeter; Andrew J Dugmore; Orri Vésteinsson
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-27       Impact factor: 11.205

4.  Slow recovery from perturbations as a generic indicator of a nearby catastrophic shift.

Authors:  Egbert H van Nes; Marten Scheffer
Journal:  Am Nat       Date:  2007-04-17       Impact factor: 3.926

5.  Changing skewness: an early warning signal of regime shifts in ecosystems.

Authors:  Vishwesha Guttal; Ciriyam Jayaprakash
Journal:  Ecol Lett       Date:  2008-02-12       Impact factor: 9.492

6.  Turning back from the brink: detecting an impending regime shift in time to avert it.

Authors:  Reinette Biggs; Stephen R Carpenter; William A Brock
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-05       Impact factor: 11.205

7.  Slowing down as an early warning signal for abrupt climate change.

Authors:  Vasilis Dakos; Marten Scheffer; Egbert H van Nes; Victor Brovkin; Vladimir Petoukhov; Hermann Held
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-11       Impact factor: 11.205

Review 8.  Early-warning signals for critical transitions.

Authors:  Marten Scheffer; Jordi Bascompte; William A Brock; Victor Brovkin; Stephen R Carpenter; Vasilis Dakos; Hermann Held; Egbert H van Nes; Max Rietkerk; George Sugihara
Journal:  Nature       Date:  2009-09-03       Impact factor: 49.962

9.  Ash generation and distribution from the April-May 2010 eruption of Eyjafjallajökull, Iceland.

Authors:  Magnús T Gudmundsson; Thorvaldur Thordarson; Armann Höskuldsson; Gudrún Larsen; Halldór Björnsson; Fred J Prata; Björn Oddsson; Eyjólfur Magnússon; Thórdís Högnadóttir; Guðrún Nína Petersen; Chris L Hayward; John A Stevenson; Ingibjörg Jónsdóttir
Journal:  Sci Rep       Date:  2012-08-14       Impact factor: 4.379

10.  Methods for detecting early warnings of critical transitions in time series illustrated using simulated ecological data.

Authors:  Vasilis Dakos; Stephen R Carpenter; William A Brock; Aaron M Ellison; Vishwesha Guttal; Anthony R Ives; Sonia Kéfi; Valerie Livina; David A Seekell; Egbert H van Nes; Marten Scheffer
Journal:  PLoS One       Date:  2012-07-17       Impact factor: 3.240

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  7 in total

1.  European Neolithic societies showed early warning signals of population collapse.

Authors:  Sean S Downey; W Randall Haas; Stephen J Shennan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-30       Impact factor: 11.205

2.  Dynamics of a producer-freeloader ecosystem on the brink of collapse.

Authors:  Andrew Chen; Alvaro Sanchez; Lei Dai; Jeff Gore
Journal:  Nat Commun       Date:  2014-05-02       Impact factor: 14.919

3.  Impact of small-scale vegetation structure on tephra layer preservation.

Authors:  Nick A Cutler; Olivia M Shears; Richard T Streeter; Andrew J Dugmore
Journal:  Sci Rep       Date:  2016-11-15       Impact factor: 4.379

4.  Hidden early-warning signals in scale-free networks.

Authors:  Georg Jäger; Christian Hofer; Marie Kapeller; Manfred Füllsack
Journal:  PLoS One       Date:  2017-12-18       Impact factor: 3.240

5.  Systematically false positives in early warning signal analysis.

Authors:  Georg Jäger; Manfred Füllsack
Journal:  PLoS One       Date:  2019-02-06       Impact factor: 3.240

6.  An information theory-based approach to assessing spatial patterns in complex systems.

Authors:  Tarsha Eason; Wen Ching-Chuang; Shana Sundstrom; Heriberto Cabezas
Journal:  Entropy (Basel)       Date:  2019-02-15       Impact factor: 2.524

7.  Cryptotephras: the revolution in correlation and precision dating.

Authors:  Siwan M Davies
Journal:  J Quat Sci       Date:  2015-03-30       Impact factor: 2.738

  7 in total

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