Spatiotemporal Dynamics of Vegetation Net Primary Productivity and Its Responses to Evapotranspiration, Temperature, and Precipitation in the Mu Us Sandy Land (2001–2023)

Net primary productivity (NPP) and its response to global climate change are one of the hot topics in global change research. Based on Net primary productivity remote sensing data and meteorological data, this study analyzed the spatiotemporal variation in vegetation NPP in Maowusu sandy land by using Sen trend analysis, Mann–Kendall significance test, coefficient of variation stability analysis, partial correlation and complex correlation analysis, and quantitatively analyzed the response of vegetation NPP to climate factors. The results showed that from 2001 to 2023, the overall vegetation NPP showed a significant upward trend, and the annual average increased from 124.28 g·(m−2·a)−1 to 221.41 g·(m−2·a)−1. The Theil–Sen median slope of NPP was +3.87 g·(m−2·a)−1 with a coefficient of variation (CV) of 0.19, suggesting a robust but spatially variable greening trend. In total, 98.53% of the area showed an upward trend, with a very significant and significant increase area. The overall stability of vegetation NPP was strong, with an average coefficient of variation (CV) of 0.19 and a CV< of 0.30 in 97.96% of the regions, but the local area from southwest to east was highly volatile and there was a risk of secondary desertification. The influence of climate factors on vegetation NPP had significant spatial heterogeneity: precipitation was the key driving factor, and most areas were positively correlated. Potential evapotranspiration was positively correlated in the central and northern regions, and negatively correlated in some southern areas. The overall temperature has a negative effect, and only the local area has a weak promoting effect. Multi-correlation analysis shows that vegetation NPP is the result of the synergy of multiple climatic factors, and the hydrothermal coupling mechanism plays a decisive role in its spatial pattern. This study can provide a scientific basis for the restoration of vegetation ecosystems, environmental protection policy formulation, ecological protection and high-quality development of the Yellow River Basin in Maowusu Sandy Land.

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Publication Details

Journal
Land
Published
2026-04-15
DOI
https://doi.org/10.3390/land15040652
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Spatiotemporal Dynamics of Vegetation Net Primary Productivity and Its Responses to Evapotranspiration, Temperature, and Precipitation in the Mu Us Sandy Land (2001–2023)

Y Zhou, Cunhou Zhang, Weijie Zhang, Wenjun Wang et al.
Land
Plant Water Relations and Carbon Dynamics
article

Spatiotemporal Dynamics of Vegetation Net Primary Productivity and Its Responses to Evapotranspiration, Temperature, and Precipitation in the Mu Us Sandy Land (2001–2023)

Y Zhou, Cunhou Zhang, Weijie Zhang, Wenjun Wang, Shuang Zhao, Yingjie Wu, Zezhong Zhang
article en

Abstract

Net primary productivity (NPP) and its response to global climate change are one of the hot topics in global change research. Based on Net primary productivity remote sensing data and meteorological data, this study analyzed the spatiotemporal variation in vegetation NPP in Maowusu sandy land by using Sen trend analysis, Mann–Kendall significance test, coefficient of variation stability analysis, partial correlation and complex correlation analysis, and quantitatively analyzed the response of vegetation NPP to climate factors. The results showed that from 2001 to 2023, the overall vegetation NPP showed a significant upward trend, and the annual average increased from 124.28 g·(m−2·a)−1 to 221.41 g·(m−2·a)−1. The Theil–Sen median slope of NPP was +3.87 g·(m−2·a)−1 with a coefficient of variation (CV) of 0.19, suggesting a robust but spatially variable greening trend. In total, 98.53% of the area showed an upward trend, with a very significant and significant increase area. The overall stability of vegetation NPP was strong, with an average coefficient of variation (CV) of 0.19 and a CV< of 0.30 in 97.96% of the regions, but the local area from southwest to east was highly volatile and there was a risk of secondary desertification. The influence of climate factors on vegetation NPP had significant spatial heterogeneity: precipitation was the key driving factor, and most areas were positively correlated. Potential evapotranspiration was positively correlated in the central and northern regions, and negatively correlated in some southern areas. The overall temperature has a negative effect, and only the local area has a weak promoting effect. Multi-correlation analysis shows that vegetation NPP is the result of the synergy of multiple climatic factors, and the hydrothermal coupling mechanism plays a decisive role in its spatial pattern. This study can provide a scientific basis for the restoration of vegetation ecosystems, environmental protection policy formulation, ecological protection and high-quality development of the Yellow River Basin in Maowusu Sandy Land.

LandVol. 15(4)
North China University of Water Resources and Electric Power (CN), China Institute of Water Resources and Hydropower Research (CN), Inner Mongolia Autonomous Region Meteorological Bureau (CN), Ministry of Water Resources of the People's Republic of China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia, Department of Science and Technology of Inner Mongolia
Climate action
Openalex Percentile: Top 17%
Plant Water Relations and Carbon Dynamics
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