Literature DB >> 29712832

Hidden collapse is driven by fire and logging in a socioecological forest ecosystem.

David B Lindenmayer1,2, Chloe Sato3.   

Abstract

Increasing numbers of ecosystems globally are at risk of collapse. However, most descriptions of terrestrial ecosystem collapse are post hoc with few empirically based examples of ecosystems in the process of collapse. This limits learning about collapse and impedes development of effective early-warning indicators. Based on multidecadal and multifaceted monitoring, we present evidence that the Australian mainland Mountain Ash ecosystem is collapsing. Collapse is indicated by marked changes in ecosystem condition, particularly the rapid decline in populations of keystone ecosystem structures. There also has been significant decline in biodiversity strongly associated with these structures and disruptions of key ecosystem processes. In documenting the decline of the Mountain Ash ecosystem, we uncovered evidence of hidden collapse. This is where an ecosystem superficially appears to be relatively intact, but a prolonged period of decline coupled with long lag times for recovery of dominant ecosystem components mean that collapse is almost inevitable. In ecosystems susceptible to hidden collapse, management interventions will be required decades earlier than currently perceived by policy makers. Responding to hidden collapse is further complicated by our finding that different drivers produce different pathways to collapse, but these drivers can interact in ways that exacerbate and perpetuate collapse. Management must focus not only on reducing the number of critical stressors influencing an ecosystem but also on breaking feedbacks between stressors. We demonstrate the importance of multidecadal monitoring programs in measuring state variables that can inform quantitative predictions of collapse as well as help identify management responses that can avert system-wide collapse.

Keywords:  early-warning indicators; ecosystem collapse; forest ecosystems; multidecadal monitoring programs

Mesh:

Year:  2018        PMID: 29712832      PMCID: PMC5960307          DOI: 10.1073/pnas.1721738115

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


  19 in total

Review 1.  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

2.  Regime shifts in ecological systems can occur with no warning.

Authors:  Alan Hastings; Derin B Wysham
Journal:  Ecol Lett       Date:  2010-02-08       Impact factor: 9.492

3.  Transient dynamics of an altered large marine ecosystem.

Authors:  Kenneth T Frank; Brian Petrie; Jonathan A D Fisher; William C Leggett
Journal:  Nature       Date:  2011-07-27       Impact factor: 49.962

4.  Newly discovered landscape traps produce regime shifts in wet forests.

Authors:  David B Lindenmayer; Richard J Hobbs; Gene E Likens; Charles J Krebs; Samuel C Banks
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-29       Impact factor: 11.205

5.  Climate and conservation. Creating a safe operating space for iconic ecosystems.

Authors:  M Scheffer; S Barrett; S R Carpenter; C Folke; A J Green; M Holmgren; T P Hughes; S Kosten; I A van de Leemput; D C Nepstad; E H van Nes; E T H M Peeters; B Walker
Journal:  Science       Date:  2015-03-20       Impact factor: 47.728

Review 6.  The ecology, distribution, conservation and management of large old trees.

Authors:  David B Lindenmayer; William F Laurance
Journal:  Biol Rev Camb Philos Soc       Date:  2016-07-07

7.  Diversity loss with persistent human disturbance increases vulnerability to ecosystem collapse.

Authors:  A S MacDougall; K S McCann; G Gellner; R Turkington
Journal:  Nature       Date:  2013-02-07       Impact factor: 49.962

8.  Integration of ecological-biological thresholds in conservation decision making.

Authors:  Georgia Mavrommati; Kostas Bithas; Mark E Borsuk; Richard B Howarth
Journal:  Conserv Biol       Date:  2016-06-22       Impact factor: 6.560

9.  Interacting factors driving a major loss of large trees with cavities in a forest ecosystem.

Authors:  David B Lindenmayer; Wade Blanchard; Lachlan McBurney; David Blair; Sam Banks; Gene E Likens; Jerry F Franklin; William F Laurance; John A R Stein; Philip Gibbons
Journal:  PLoS One       Date:  2012-10-05       Impact factor: 3.240

10.  An empirical assessment and comparison of species-based and habitat-based surrogates: a case study of forest vertebrates and large old trees.

Authors:  David B Lindenmayer; Philip S Barton; Peter W Lane; Martin J Westgate; Lachlan McBurney; David Blair; Philip Gibbons; Gene E Likens
Journal:  PLoS One       Date:  2014-02-24       Impact factor: 3.240

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