Factor Rankings in Influencing Spatial Pattern of Global Net Primary Production from 2005 to 2011
ABSTRACT Net primary production (NPP) is one of the fundamental sources of energy for human lives. Due to the tremendous speed of population growth and industrialization, the anthropogenic impact on natural resources is becoming more and more apparent. However, most methods in analyzing potential impact factors of NPP among biosphere parameters are based on process based models using experimental data mostly collected in the field, which are quite subjective and difficult to share. The process based models are limited by various premises due to various understandings in constructing the model. To objectively understand the impact factors on calculating global NPP, we build a data driven model to calculate NPP and analyze each feature variable importance. The features cover biosphere parameters, solar radiation parameters, anthropogenic activities, and atmospheric gas concentrations. The study shows our data driven model is capable to calculate NPP comparatively well than the process based model. It further suggests that anthropogenic activities, land cover type, and normalized vegetation index should be considered more in the future NPP relevant researches, compared with the commonly used biosphere features, such as aerosol index, soil moisture, and precipitation.