Identification of the key landscape metrics indicating regional temperature at different spatial scales and vegetation transpiration

摘要: Abstract Land use changes are widely known as one of the drivers land surface temperature variation. However, influence composition various types and their configuration, i.e. landscape pattern, on regional is still unknown. We test hypotheses: (1) air would vary according to (2) these effects vary, demonstrating scale- site-dependence through different vegetation transpiration rates. The relationships 360 metrics, indicating multiple dimensions at five climatic zones spatial scales in southern hilly China were examined Pearson correlation analysis, stepwise regression redundancy analysis. area number grassland, building, dry cropland patches positively correlated with temperature; density forestland, shrubland, wet cropland, water have cooling effects. optimal scale metrics also between climate zones. Landscape-level transpiration, determined by dominant species, may partially explain why pattern affects temperature. These findings provide new insights for understanding use–temperature interactions designing adaptation mitigation strategies. Suitable scale, species should be considered planning management mitigate impacts projected warming.