Study On Cold Island Effect Of Urban Forest In Jinjiang

Context Land surface temperatures (LST) spatio-temporal distribution pattern of urban forests are influenced by many ecological factors; the identification of these factors can improve the urban cold island effect. This quantitative research requires an integrated method that combines multiple sources data with spatial statistical analysis.The purpose of this study was to clarify urban forest LST influence interaction between anthropogenic activities and multiple ecological factors using cluster analysis of hot and cold spots and Geogdetector model. We introduced the hypothesis that anthropogenic activity interacts with certain ecological factors, and their combination influences urban forests LST. We also assumed that spatio-temporal distributions of urban forest LST should be similar to those of ecological factors and can be represented quantitatively.We used Jinjiang as a representative city in China as a case study. Through a combination of spatial statistical analysis results, multi-source spatial data, and Geogdetector model, the driving mechanisms of urban forest LST were revealed. The results showed that the degree of spatial clustering of LSTs in urban forests decreased during rapid urbanization. Although different ecological factors have different influences on forest LST, in two periods with different hot spots and cold spots, the patch area and dominant tree species were the main factors contributing to LST clustering in urban forests. The interaction between anthropogenic activity and multiple ecological factors increased LST in urban forest stands, linearly and nonlinearly.In conclusion, in areas of urban clustering, quantitative studies based on spatial statistics should be conducted to elucidate the interaction between LST and the combination of anthropogenic activity and multiple ecological factors.