THE ENVIRONMENTAL PARAMETERS CONTROLLING THE HABITAT OF INVASIVE ALIEN SPECIES, SPARTINA ALTERNIFLORA IDENTIFIED BY PREDICTIVE MODELING

Abstract

Spartina alterniflora introduced worldwide has impacted local Japanese ecosystems. Then the management methods of the species are seriously required. In 2019, the invasion of the species was reported at Aichi Prefecture, Japan. The vegetation of the species was grown up to 449 m2 for 5 years. However, the relationship between the habitation of the species and environmental factors remains unclear. Therefore, we made a habitat prediction model using GLM (general linear model) to define the environment of the S. alterniflora habitat of Aichi Pref., incorporating data in 2019. That measured population density, location, ignition loss of physical environmental data, pH, NaCl concentration and altitude over the sea level by us. Our analysis showed that the standardization parameter altitude over the sea level was the main effect in the predictive model (estimate 4.158) and had the greatest absolute value. And the Wald value is significantly large (42.426). Secondary the reciprocal relationship expression between the altitude and pH was high value, 1.007. The species likes the habitat that altitude is high and pH is 7.1–7.3. For the GLM, we made the distribution for the species, the reappearance is well done. Then the avoidance of the species expansion, the bank of the tidal area should erase the higher riverbed.