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Effects of Temperature and Precipitation on Spatiotemporal Variations of Net Primary Productivity in the Qinling Mountains, China
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Effects of Temperature and Precipitation on Spatiotemporal Variations of Net Primary Productivity in the Qinling Mountains, China
College of Geomatics, Xi’an University of Science and Technology, 58 Yanta Road, Xi’an, China
Shandong Branch of China National Geological Exploration Center of Building Materials Industry, 32 Shanda North Road, Jinan, China
Ocean Wood Mapping Information Technology Limited Company, 69 South Second Ring Road, Xi’an, China
College of Geomatics, Xi’an University of Science and Technology, 58 Yanta Road, 710054, Xi'an, China
Final revision date: 2020-05-24
Online publication date: 2020-09-02
Pol. J. Environ. Stud. 2021;30(1):409–422
The Qinling Mountains are an important geographic boundary in central and eastern China. The region has diverse and complex mountain ecosystems that are ideal to study the response of terrestrial ecosystems in the context of global climate change. Based on GIMMS NDVI data, meteorological data, and DEM and vegetation type data, we used the Comprehensive and CASA (Carnegie Ames Stanford Approach) models simulate NPP (Net Primary Productivity) and the response to climate change in the Qinling Mountains from 1982 to 2015. The research includes three main aspects: (1) MOD17A3 NPP data was used to compare the accuracy of the NPP values obtained by different methods. The NPP values calculated using the CASA model and GIMMS NDVI were most accurate without considering the vegetation type. (2) Changes in NPP were analyzed. The change trend of inter-annual and seasonal NPP was not significant temporally, but the inter-annual and spring NPP increased significantly, reaching 35.49% and 57.84% of the total study area, respectively, while the area of winter NPP significantly reduced by 22.87%. (3) The relationship between NPP and air temperature and precipitation was analyzed. The proportion of significant positively correlated inter-annual and spring NPP and precipitation values were higher, reaching 31.20% and 21.20%, respectively, while the proportion of significant positively correlated spring and autumn NPP values were only 10.80% and 10.20%, respectively. The complexity of the Qinling mountainous system enhances the heterogeneity of spatial and temporal variations in NPP and the response to climate change.
Spatio-Temporal Variations and Driving Factors of Greywater Footprint in the Yangtze River Economic Belt, China
Evaluation of Eco-Environmental Quality and Analysis on Spatio-Temporal Variation in Jinan, China
Spatial Heterogeneity and Cause Analysis of Water Quality of Coastal City River System in Flood and Non-Flood Season: a Case Study of Haikou, China
Analysis of Influence of Urban Spatial Morphologies on Thermal Microenvironment
Variation Characteristics and Influencing Factors on the Number of Livestock in the Hohhot Area from 1986 to 2015
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