Prioridades para prevenir el establecimiento y dispersión del lirio amarillo en regiones susceptibles

MARÍLIA MELO FAVALESSO; ALEJANDRO SOSA; PAULA GERVAZONI; PAULA GERVAZONI; DANIELA FUENTES RODRIGUEZ; DANIELA FUENTES RODRIGUEZ; MARTIN HILL; MARTIN HILL; CELESTE FRANCESCHINI; JULIE COETZEE; CELESTE FRANCESCHINI; JULIE COETZEE; MARÍLIA MELO FAVALESSO; ALEJANDRO SOSA

La Rioja

Congreso; VI Congreso Nacional de Conservación de la Biodiversidad; 2019

Universidad Nacional de La Rioja

The yellow flag (Irispseudacorus L.) is an invasive exotic macrophyte that due to its ornamentalvalue has been dispersed from the Palearctic to many countries of the world. InArgentina, it is found in natural, rural, urban and protected areas ofdifferent regions with a highly invasive behavior and causing serious damage,by altering the native biodiversity, invading agricultural territories,modifying the structure of riverbanks and the correct flow of water in drainsand drains. The aims of this study were to analyze the range of temperature andhumidity associated with the current presence of the Yellow flag and topredict, through niche modeling, the areas with potential to be invaded. Todetermine the distribution, literature, collections and sampling data wereobtained. The annual average temperature and precipitation variables wererelated to the points of presence. To predict the distribution, historical dataof 6 bioclimatic variables were combined through the Principal ComponentAnalysis (ACP), which resulted in two new variables. The distribution modelswere generated by combining five algorithms (Bioclim, Mahalanobis, Gower,Maxent and SVM), with 10 replicates each. The replicas were evaluated by theTSS index> 0.7. The average temperature and rainfall of the reportedlocations varied in a short range ranging from 13-19 ° C and 600-1600mm.According to these results and the Aridity map of De-Martonne, which combinesthese variables in its climatic classification, most of the reportscorresponded to temperate locations and humid climates. The niche modelingreflected projections that included affected areas, but also potential areasthat still lack presence reports and would be highly susceptible to invasion,especially in the Pampas region. These results constitute an important andnovel contribution to knowledge, usable in prevention campaigns