Literature DB >> 19537551

Peeking at ecosystem stability: making use of a natural disturbance experiment to analyze resistance and resilience.

Helge Bruelheide1, Ute Luginbühl.   

Abstract

To determine which factors contribute most to the stability of species composition in a beech forest after profound disturbance, we made use of a natural experiment caused by a severe windthrow that occurred at a permanent monitoring site in an old beech forest in Lower Saxony (Germany). The floristic composition was recorded for the succeeding five years after the disturbance and used to derive measures of resistance and resilience for plots as well as for individual species. Due to the existence of previously established randomly distributed permanent plots, we had precise information of the pre-disturbance state, including initial cover of the herb layer, species richness, and species composition. Variables describing the floristic change, resistance, and resilience were derived from correspondence analysis allowing for partitioning the effects of variation among plots from those of temporal change. We asked to which degree these variables could be predicted by pre-disturbance state and disturbance intensity. We found that both the pre-disturbance state and the disturbance intensity were good predictors for floristic change and resistance, while they failed to predict resilience. Among the descriptors of the pre-disturbance state the initial cover of the herb layer turned out to be a useful predictor, which is explained by a high vegetation cover buffering against losses and preventing establishment of newcomers. In contrast, species number neither showed a relationship to floristic change nor to resistance. Putative positive effects of species number on stability according to the insurance hypothesis might have been counterbalanced by a disruption of niche complementarity in species-rich communities. Among the descriptors of disturbance intensity, the loss in canopy cover and the change in photosynthetically active radiation after the storm were equally good predictors for the change in floristic composition and resistance. The analysis of the responses of single species on initial vegetation cover and disturbance intensity revealed that a wide range of different mechanisms were involved. Resistance and resilience did not depend on the presence of particular species or on specific traits.

Mesh:

Year:  2009        PMID: 19537551     DOI: 10.1890/07-2148.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  4 in total

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Journal:  Oecologia       Date:  2011-04-06       Impact factor: 3.225

2.  Reviewing the Use of Resilience Concepts in Forest Sciences.

Authors:  L Nikinmaa; M Lindner; E Cantarello; A S Jump; R Seidl; G Winkel; B Muys
Journal:  Curr For Rep       Date:  2020-07-13       Impact factor: 10.975

3.  ReSurveyGermany: Vegetation-plot time-series over the past hundred years in Germany.

Authors:  Ute Jandt; Helge Bruelheide; Christian Berg; Markus Bernhardt-Römermann; Volker Blüml; Frank Bode; Jürgen Dengler; Martin Diekmann; Hartmut Dierschke; Inken Doerfler; Ute Döring; Stefan Dullinger; Werner Härdtle; Sylvia Haider; Thilo Heinken; Peter Horchler; Florian Jansen; Thomas Kudernatsch; Gisbert Kuhn; Martin Lindner; Silvia Matesanz; Katrin Metze; Stefan Meyer; Frank Müller; Norbert Müller; Tobias Naaf; Cord Peppler-Lisbach; Peter Poschlod; Christiane Roscher; Gert Rosenthal; Sabine B Rumpf; Wolfgang Schmidt; Joachim Schrautzer; Angelika Schwabe; Peter Schwartze; Thomas Sperle; Nils Stanik; Hans-Georg Stroh; Christian Storm; Winfried Voigt; Andreas von Heßberg; Goddert von Oheimb; Eva-Rosa Wagner; Uwe Wegener; Karsten Wesche; Burghard Wittig; Monika Wulf
Journal:  Sci Data       Date:  2022-10-19       Impact factor: 8.501

4.  Understanding the Spatio-Temporal Response of Coral Reef Fish Communities to Natural Disturbances: Insights from Beta-Diversity Decomposition.

Authors:  Thomas Lamy; Pierre Legendre; Yannick Chancerelle; Gilles Siu; Joachim Claudet
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

  4 in total

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