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Palabras clave – provistas por la editorial

climate change; digital camera; MODIS; Mongolian oak; phenology; sap flow; urbanization; plant phenology; spatiotemporal patterns; structural equation model; Google Earth Engine; Three-River Headwaters region; GPP; carbon cycle; arctic; photosynthesis; remote sensing; crop sowing date; development stage; yield gap; yield potential; process-based model; land surface temperature; urban heat island effect; contribution; Hangzhou; land surface phenology; NDVI; spatiotemporal dynamics; different drivers; random forest model; data suitability; satellite data; spatial scaling effects; the Loess Plateau; autumn phenology; turning point; climate changes; human activities; Qinghai-Tibetan Plateau; snow phenology; driving factors; spatiotemporal variations; Northeast China; vegetation indexes; seasonally dry tropical forest; vegetation phenology; climatic limitation; solar-induced chlorophyll fluorescence; enhanced vegetation index; gross primary production; evapotranspiration; water use efficiency; NDPI; Qilian Mountains; snow cover; high elevation; soil moisture; vegetation dynamics; carbon exchange; n/a