2009
DOI: 10.1098/rspb.2009.0661
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Forecasting the limits of resilience: integrating empirical research with theory

Abstract: Despite the increasing evidence of drastic and profound changes in many ecosystems, often referred to as regime shifts, we have little ability to understand the processes that provide insurance against such change (resilience). Modelling studies have suggested that increased variance may foreshadow a regime shift, but this requires long-term data and knowledge of the functional links between key processes. Field-based research and ground-truthing is an essential part of the heuristic that marries theoretical a… Show more

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Cited by 193 publications
(197 citation statements)
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References 76 publications
(102 reference statements)
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“…Thus, even with widespread climate change in the North (Serreze et al 2000), we can still expect substantial variation in the resilience of different landscape units and their vulnerability to change. A challenge remains to ecologists and managers to predict sets of conditions under which we expect the greatest potential for threshold changes and to adjust our management strategies accordingly , Thrush et al 2009). …”
Section: Discussionmentioning
confidence: 99%
“…Thus, even with widespread climate change in the North (Serreze et al 2000), we can still expect substantial variation in the resilience of different landscape units and their vulnerability to change. A challenge remains to ecologists and managers to predict sets of conditions under which we expect the greatest potential for threshold changes and to adjust our management strategies accordingly , Thrush et al 2009). …”
Section: Discussionmentioning
confidence: 99%
“…The unpredictability and irreversibility of the shifts can cause serious management problems and are seen as indicators of an ecosystem with multiple stable states (e.g. deYoung et al 2004, Huggett 2005, Bestelmeyer 2006, Groffman et al 2006, Suding & Hobbs 2009, Thrush et al 2009). …”
Section: Introductionmentioning
confidence: 99%
“…In the context of SGS, empirical evidence is more persuasive than theory, and the challenge of translating simple theoretical models into applications in real world ecosystems is significant (Thrush et al 2009. Shifting thinking from simple cause and effect relationships and single responses to considering networks of interactions and cumulative effects is particularly important.…”
Section: Gather Data and Search For Warning Signsmentioning
confidence: 99%
“…The language of resilience, regimes shifts, tipping points, thresholds and alternate states is confusing (Thrush et al 2009), but from a SGS perspective the consequence is surprise. Surprise can occur for many reasons e.g., unknown relationships and connections, lack of information on the pace of change, an over reliance on techno-fixes rather than reducing drivers of change, or restricting the number of strategies that may contribute to solutions (Toth 2008).…”
Section: Challengesmentioning
confidence: 99%