2.6. Bioclimatic differences between El Borouj and Sidi Hajjaj
In order to investigate the possible association between bioclimatic characteristics and the presence/absence of ACL in the two studied localities, a logistic regression analysis was carried out including as a dependent variable the locality and each bioclimatic variable under study as an independent variable. The bioclimatic data analysed were as follows: mean monthly average temperature (from January to December), maximum monthly average temperature (from January to December), minimum monthly average temperature (from January to December), maximum annual average temperature, minimum annual average temperature, monthly precipitation (from January to December), annual mean temperature (BIO1), mean diurnal range (mean of monthly –max temp-min temp-)( BIO2), isothermality (BIO2/BIO7)*100 (BIO3), temperature seasonality (standard deviation *100) (BIO4), max temperature of warmest month (BIO5), min temperature of coldest month (BIO6), temperature annual range (BIO5-BIO6) (BIO7), mean temperature of wettest quarter (BIO8), mean temperature of driest quarter (BIO9), mean temperature of warmest quarter (BIO10), mean temperature of coldest quarter (BIO11), annual precipitation (BIO12), precipitation of wettest month (BIO13), precipitation of driest month (BIO14), precipitation seasonality (coefficient of variation) (BIO15), precipitation of wettest quarter (BIO16), precipitation of driest quarter (BIO17), precipitation of warmest quarter (BIO18) and precipitation of coldest quarter (BIO19). This information was taken from the WorldClim global climate data (www.worldclim.org/) considering the average values from 2007 to 2015. Data were analysed with IBM SPSS Statistics 20.0 for Windows (IBM Corp., Armonk, NY, USA).