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Analysis on net primary productivity change of forests and its multi–level driving mechanism – A case study in Changbai Mountains in Northeast China
- Source :
- Technological Forecasting and Social Change. 153:119939
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- It is significant to clarify the driving mechanism of the forest ecosystem changes at different scales in Northeast China with serious forest degradation. With Changbai Mountains in Northeast China as the study area, this study integrated multi–source data to explore the spatio–temporal changes of Net Primary Productivity (NPP) and its spatial agglomeration patterns, and probed its multi–level driving mechanism based on the Hierarchical Linear Model (HLM). The results showed the overall NPP in the study area had a gradual declining trend from southeast to northwest from 2001 to 2015. Besides, the ecological risk regions, including Low-Low (L–L) and High–Low (H–L) cluster types, expanded from 27.56% during 2001–2008 to 28.21% during 2008–2015, suggesting the local departments should focus on optimizing these regions and strengthen the construction of complex forests with large age differences to make the ecological environment healthier. In addition, results from the HLM suggested that key driving factors, e.g., the precipitation and vegetation coverage rate, had significant promoting effects on NPP at the grid scale. Whereas the soil organic matter content, distance to the highway, irrigation rate, percentage of the disaster area had significant inhibitory effects (p
- Subjects :
- Driving factors
Irrigation
020209 energy
Soil organic matter
05 social sciences
Multilevel model
Primary production
02 engineering and technology
Vegetation
Management of Technology and Innovation
0502 economics and business
Forest ecology
0202 electrical engineering, electronic engineering, information engineering
Environmental science
Precipitation
Physical geography
Business and International Management
050203 business & management
Applied Psychology
Subjects
Details
- ISSN :
- 00401625
- Volume :
- 153
- Database :
- OpenAIRE
- Journal :
- Technological Forecasting and Social Change
- Accession number :
- edsair.doi...........9a7de0dd232f11be8e907703d1588a31