Characteristic Analysis of Carbon Sink Capacity Changes in Xinjiang’s Terrestrial Ecosystem Based on EEMD

Yongji Zhang, Jianghua Zheng (), Jianli Zhang, Chen Mu, Wanqiang Han and Liang Liu
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Yongji Zhang: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Jianghua Zheng: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Jianli Zhang: Prairie Station of Animal Husbandry Department in Xinjiang, Urumqi 830000, China
Chen Mu: Prairie Station of Animal Husbandry Department in Xinjiang, Urumqi 830000, China
Wanqiang Han: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
Liang Liu: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China

Sustainability, 2024, vol. 16, issue 6, 1-25

Abstract: Net Ecosystem Productivity (NEP) is an important measure to assess the carbon balance and dynamics of ecosystems, providing a direct measure of carbon source–sink dynamics in terrestrial ecosystems and finding widespread applications in carbon cycle research. However, the nonlinear characteristics of NEP in Xinjiang’s terrestrial ecosystems remain unclear. Additionally, the influence of land use patterns, temperature, and precipitation variations on carbon sink capacity remains unclear. Ensemble Empirical Mode Decomposition (EEMD) is used to investigate the nonlinear variation of NEP in Xinjiang. Landscape pattern analysis of Xinjiang’s land use patterns from 1981 to 2019 is conducted using a 30 km moving window, and the interannual relationships between NEP, land use patterns, and meteorological factors are investigated through EEMD detrending analysis and Pearson correlation. The findings indicate that: (1) NEP exhibits interannual variations, primarily concentrated in the foothills of the Tianshan Mountains, with a three-year cycle. (2) Although NEP changes in most regions are not significant, urban clusters on the northern slopes of the Tianshan Mountains show noteworthy trends, with initial decrease followed by an increase, covering around 34.87% of the total area. Areas at risk of NEP decline constitute approximately 7.32% of the total area. (3) Across Xinjiang, we observe a widespread rise in patch fragmentation and complexity, coupled with a decline in patch connectivity and the size of the dominant patch. Additionally, there is a notable increase in both the diversity and evenness of land use types. However, the correlation between land use patterns and NEP is generally found to be insignificant in the majority of areas, with a percentage exceeding 85%. (4) Approximately 62% of regions in Xinjiang have NEP that is positively correlated with temperature, with significance observed in 33% of these areas. Furthermore, almost 95% of regions demonstrate that NEP is positively correlated with precipitation, with significance noted in 83% of these regions. It appears that precipitation exerts a more pronounced influence on NEP fluctuations in Xinjiang when compared to temperature.

Keywords: net ecosystem productivity (NEP); nonlinear characteristics; ensemble empirical modal decomposition (EEMD); carbon source/sink; land use patterns (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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