TY - JOUR
T1 - The dimensionality of stability depends on disturbance type
AU - Radchuk, Viktoriia
AU - De Laender, Frederik
AU - Cabral, Juliano Sarmento
AU - Boulangeat, Isabelle
AU - Crawford, Michael
AU - Bohn, Friedrich
AU - Raedt, Jonathan De
AU - Scherer, Cédric
AU - Svenning, Jens Christian
AU - Thonicke, Kirsten
AU - Schurr, Frank M.
AU - Grimm, Volker
AU - Kramer-Schadt, Stephanie
N1 - Funding Information:
This manuscript was initiated at the session ‘Ecological models as tools to assess persistence of ecological systems in face of environmental pressures’ organized by VR and SKS at the EcoSummit 2016 conference. We are grateful to Alban Sagouis and four anonymous reviewers for their feedback on the manuscript draft. CS was supported by the BioMove Research Training Group of the German Research Foundation (DFG-GRK 2118/1), MC was funded by DFG Priority Program 1374, “Infrastructure-Biodiversity-Exploratories” (DFG-JE 207/5-1) and JDR by the Research Foundation Flanders (Grant no FWO14/ASP/075). FDL received support from the Fund for Scientific Research, FNRS (PDR T.0048.16). JCS considers this work a contribution to his VILLUM Investigator project “Biodiversity Dynamics in a Changing World” funded by VILLUM FONDEN (grant 16549).
Publisher Copyright:
© 2019 John Wiley & Sons Ltd/CNRS
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Ecosystems respond in various ways to disturbances. Quantifying ecological stability therefore requires inspecting multiple stability properties, such as resistance, recovery, persistence, and invariability. Correlations among these properties can reduce the dimensionality of stability, simplifying the study of environmental effects on ecosystems. A key question is how the kind of disturbance affects these correlations. We here investigated the effect of three disturbance types (random, species-specific, local) applied at four intensity levels, on the dimensionality of stability at the population and community level. We used previously parameterized models that represent five natural communities, varying in species richness and the number of trophic levels. We found that disturbance type but not intensity affected the dimensionality of stability and only at the population level. The dimensionality of stability also varied greatly among species and communities. Therefore, studying stability cannot be simplified to using a single metric and multi-dimensional assessments are still to be recommended.
AB - Ecosystems respond in various ways to disturbances. Quantifying ecological stability therefore requires inspecting multiple stability properties, such as resistance, recovery, persistence, and invariability. Correlations among these properties can reduce the dimensionality of stability, simplifying the study of environmental effects on ecosystems. A key question is how the kind of disturbance affects these correlations. We here investigated the effect of three disturbance types (random, species-specific, local) applied at four intensity levels, on the dimensionality of stability at the population and community level. We used previously parameterized models that represent five natural communities, varying in species richness and the number of trophic levels. We found that disturbance type but not intensity affected the dimensionality of stability and only at the population level. The dimensionality of stability also varied greatly among species and communities. Therefore, studying stability cannot be simplified to using a single metric and multi-dimensional assessments are still to be recommended.
KW - Community model
KW - disturbance intensity
KW - disturbance type
KW - extinction
KW - individual-based model
KW - invariability
KW - persistence
KW - recovery
KW - resistance
UR - http://www.scopus.com/inward/record.url?scp=85061233861&partnerID=8YFLogxK
U2 - 10.1111/ele.13226
DO - 10.1111/ele.13226
M3 - Article
C2 - 30734447
AN - SCOPUS:85061233861
SN - 1461-023X
VL - 22
SP - 674
EP - 684
JO - Ecology Letters
JF - Ecology Letters
IS - 4
T2 - ECOSUMMIT 2016
Y2 - 29 August 2016 through 1 September 2016
ER -