Literature DB >> 12079525

Multiple states in river and lake ecosystems.

C Lisa Dent1, Graeme S Cumming, Stephen R Carpenter.   

Abstract

Nonlinear models of ecosystem dynamics that incorporate positive feedbacks and multiple, internally reinforced states have considerable explanatory power. However, linear models may be adequate, particularly if ecosystem behaviour is primarily controlled by external processes. In lake ecosystems, internal (mainly biotic) processes are thought to have major impacts on system behaviour, whereas in rivers, external (mainly physical) factors have traditionally been emphasized. We consider the hypothesis that models that exhibit multiple states are useful for understanding the behaviour of lake ecosystems, but not as useful for understanding stream ecosystems. Some of the best-known examples of multiple states come from lake ecosystems. We review some of these examples, and we also describe examples of multiple states in rivers. We conclude that the hypothesis is an oversimplification; the importance of physical forcing in rivers does not eliminate the possibility of internal feedbacks that create multiple states, although in rivers these feedbacks are likely to include physical as well as biotic processes. Nonlinear behaviour in aquatic ecosystems may be more common than current theory indicates.

Mesh:

Year:  2002        PMID: 12079525      PMCID: PMC1692979          DOI: 10.1098/rstb.2001.0991

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  2 in total

1.  Make your practice irresistible to health plans.

Authors:  D Murray
Journal:  Med Econ       Date:  1994-03-07

2.  Predation, Body Size, and Composition of Plankton.

Authors:  J L Brooks; S I Dodson
Journal:  Science       Date:  1965-10-01       Impact factor: 47.728

  2 in total
  8 in total

1.  Evidence for self-organization in determining spatial patterns of stream nutrients, despite primacy of the geomorphic template.

Authors:  Xiaoli Dong; Albert Ruhí; Nancy B Grimm
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-30       Impact factor: 11.205

2.  Cross-habitat effects shape the ecosystem consequences of co-invasion by a pelagic and a benthic consumer.

Authors:  David C Fryxell; Amber R Diluzio; Maya A Friedman; Nicklaus A Menge; Eric P Palkovacs
Journal:  Oecologia       Date:  2016-05-31       Impact factor: 3.225

3.  Shifting stream planform state decreases stream productivity yet increases riparian animal production.

Authors:  Michael P Venarsky; David M Walters; Robert O Hall; Bridget Livers; Ellen Wohl
Journal:  Oecologia       Date:  2018-03-06       Impact factor: 3.225

4.  A quantitative framework for assessing ecological resilience.

Authors:  Didier L Baho; Craig R Allen; Ahjond S Garmestani; Hannah B Fried-Petersen; Sophia E Renes; Lance H Gunderson; David G Angeler
Journal:  Ecol Soc       Date:  2017-09-01       Impact factor: 4.403

5.  Soil microbial community responses to climate extremes: resistance, resilience and transitions to alternative states.

Authors:  Richard D Bardgett; Tancredi Caruso
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-01-27       Impact factor: 6.237

6.  Common core themes in geomorphic, ecological, and social systems.

Authors:  Ellen Wohl; Andrea K Gerlak; N LeRoy Poff; Anne Chin
Journal:  Environ Manage       Date:  2013-06-08       Impact factor: 3.266

7.  Regime shifts in the anthropocene: drivers, risks, and resilience.

Authors:  Juan Carlos Rocha; Garry D Peterson; Reinette Biggs
Journal:  PLoS One       Date:  2015-08-12       Impact factor: 3.240

8.  Skill (or lack thereof) of data-model fusion techniques to provide an early warning signal for an approaching tipping point.

Authors:  Riddhi Singh; Julianne D Quinn; Patrick M Reed; Klaus Keller
Journal:  PLoS One       Date:  2018-02-01       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.