Predicting the spread of alligator weed (Alternanthera philoxeroides) in Wular lake, India: A mathematical approach

•We used a variable growth rate equation, to predict spread rate of alligator weed in Wular lake.•Our model is based on real-time data set of its spread over four years from 2008 to 2011 in the lake.•We also did sensitivity analysis to validate our mathematical model using data of first 3 years.•The...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ecological modelling 2013-08, Vol.263, p.119-125
Hauptverfasser: Masoodi, Ather, Sengupta, Anand, Khan, Fareed A., Sharma, Gyan P.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•We used a variable growth rate equation, to predict spread rate of alligator weed in Wular lake.•Our model is based on real-time data set of its spread over four years from 2008 to 2011 in the lake.•We also did sensitivity analysis to validate our mathematical model using data of first 3 years.•The results were in coherence with the previous model.•The study warrants an urgent need for a maintenance control program for alligator weed in Kashmir. Alligator weed (Alternanthera philoxeroides) is an amphibious weed invading worldwide. It was reported very recently from Wular lake, a Ramsar site in India. The weed forms isolated floating islands of variable sizes in this lake. Monitoring of the weed for 4 years reveals that the total number of patches increased from 6 in 2008 to 82 in 2011 with total area of all patches increasing from 41.3m2 in 2008 to 831m2 in 2011. We did predictive modeling with four years data using a variable growth rate equation, to estimate the spread rate of the weed assuming the entire lake area available for spread. Our model suggests that this weed may potentially cover entire lake in 13–19 years from 2008. The robustness of the mathematical model was also determined and validated using data from the first three years and it was in coherence with the previous model. We do caution, the predictive spread model of A. philoxeroides presented here has a strong bearing to the uncertainties of climate change, nutrient loading and competition effects. The study warrants an urgent need for rapid action involving manual removal before it actually assumes bigger dimensions in the lake and the region as more than ten thousand households completely depend on the resources of Wular lake, India.
ISSN:0304-3800
1872-7026
DOI:10.1016/j.ecolmodel.2013.04.021