Empirical Dynamic Modelling Identifies different Responses of Aedes Polynesiensis Subpopulations to Natural Environmental Variables

Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201904101362
Open Access logo originally created by the Public Library of Science (PLoS)
Titel: Empirical Dynamic Modelling Identifies different Responses of Aedes Polynesiensis Subpopulations to Natural Environmental Variables
Autor(en): Grziwotz, Florian
Strauß, Jakob Friedrich
Hsieh, Chih-hao
Telschow, Arndt
Zusammenfassung: To control mosquito populations for managing vector-borne diseases, a critical need is to identify and predict their response to causal environmental variables. However, most existing attempts rely on linear approaches based on correlation, which cannot apply in complex, nonlinear natural systems, because correlation is neither a necessary nor sufficient condition for causation. Applying empirical dynamic modelling that acknowledges nonlinear dynamics on nine subpopulations of tiger mosquitos from three neighbouring reef islets of the Raiatea atoll, we identified temperature, precipitation, dew point, air pressure, and mean tide level as causal environmental variables. Interestingly, responses of subpopulations in close proximity (100–500 m) differed with respect to their causal environmental variables and the time delay of effect, highlighting complexity in mosquito-environment causality network. Moreover, we demonstrated how to explore the effects of changing environmental variables on number and strength of mosquito outbreaks, providing a new framework for pest control and disease vector ecology.
Bibliografische Angaben: Scientific Reports, Volume 8, Article number: 16768 (2018), S. 1-10
URL: https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201904101362
Schlagworte: Aedes Polynesiensis; vector-borne diseases; tiger mosquitos
Erscheinungsdatum: 13-Nov-2018
Lizenzbezeichnung: Attribution 4.0 International
URL der Lizenz: http://creativecommons.org/licenses/by/4.0/
Publikationstyp: Einzelbeitrag in einer wissenschaftlichen Zeitschrift [article]
Enthalten in den Sammlungen:FB06 - Hochschulschriften
Open-Access-Publikationsfonds

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
ScientificReports_8_16768_2018_Grziwotz.pdfResearch article2,13 MBAdobe PDF
ScientificReports_8_16768_2018_Grziwotz.pdf
Miniaturbild
Öffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons