ORIGINAL RESEARCH
Effects of Temperature and Precipitation
on Spatiotemporal Variations of Net Primary
Productivity in the Qinling Mountains, China
| 1 | College of Geomatics, Xi’an University of Science and Technology, 58 Yanta Road, Xi’an, China |
| 2 | Shandong Branch of China National Geological Exploration Center of Building Materials Industry,
32 Shanda North Road, Jinan, China |
| 3 | Ocean Wood Mapping Information Technology Limited Company, 69 South Second Ring Road, Xi’an, China |
CORRESPONDING AUTHOR
Tao Wang
College of Geomatics, Xi’an University of Science and Technology, 58 Yanta Road, 710054, Xi'an, China
College of Geomatics, Xi’an University of Science and Technology, 58 Yanta Road, 710054, Xi'an, China
Submission date: 2019-12-24
Final revision date: 2020-05-24
Acceptance date: 2020-05-25
Online publication date: 2020-09-02
Publication date: 2020-10-05
Pol. J. Environ. Stud. 2021;30(1):409–422
KEYWORDS
TOPICS
ABSTRACT
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.
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