Relationship between net primary production and climate change in different vegetation zones based on EEMD detrending – A case study of Northwest China

Ecological Indicators

Zhaoyue Wang¹  Haibo Gong²  Junhe Jia³  Zhenshan Lin⁴  Huiyu Liu⁵ 

[1] College of Geography Science, Nanjing Normal University, Nanjing 210023, China;Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing Normal University, Nanjing 210023, China;Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China;State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing Normal University, Nanjing 210023, China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China;

关键词: Ensemble Empirical Mode Decomposition (EEMD) detrending;    Trend reversal;    Bioclimatic variables;    Interannual variations;    Nonlinearity;   

DOI  :  

来源: DOAJ

【 摘 要 】

The relationship between vegetation Net primary production (NPP) and climate change is critical for understanding the driving forces of vegetation changes, while less were studied based on detrending analysis and Bioclimatic variables. In this study, detrending analysis based on Ensemble Empirical Mode Decomposition (EEMD) method was adopted to assess the relationship between NPP and climate change in different vegetation zones in Northwest China. The results indicated that: (1) although monotonic increasing was the main type of vegetation NPP trend (49.42%), shifted trend accounted for 36.02% of the whole area. There were some risks of vegetation degradation in temperate desert and alpine region of the Qinghai Tibet Platea, but chances for vegetation recovery in temperate grassland and warm temperate deciduous broad-leaved forest zones; (2) EEMD-detrending analysis performed much better than linear detrending analysis for assessing the relationship between climate change and vegetation NPP; (3) compared with no detrending, EEMD-detrending reduced the importance of BIO1 (annual mean temperature) and BIO2 (mean temperature diurnal range) for vegetation NPP, but enhanced those of BIO13 (precipitation of the wettest month) and BIO15 (precipitation seasonality); (4) BIO1, BIO2, BIO12 (annual precipitation), and BIO13 mainly showed positive relationships with interannual NPP variations, except that BIO1 and BIO13 mainly showed negative relationship in temperate grassland and warm temperate deciduous broad-leaved forest zones. Interannual NPP variations were dominated by BIO12 and BIO13, except that alpine region of Tibet plateau was dominated by BIO1 and BIO2. Our results demonstrated that EEMD-detrending analysis and Bioclimatic variables can better explore the interannual vegetation-climate relationship.

【 授权许可】

Unknown