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1. 中国科学院 新疆生态与地理研究所,新疆,乌鲁木齐,830011
2. 中国科学院 中亚生态与环境研究中心,新疆,乌鲁木齐,830011
3. 中国科学院大学,北京,100049
4. 新疆农业大学 草业学院,新疆,乌鲁木齐,830052
Published:2024
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Geng Yixin, Fan Lianlian, Ma Xuexi, et al. Spatiotemporal Characteristics of Vegetation Net Primary Productivity Changes and Influencing Factors in Altay Adjacent Area of China and Mongolia[J]. Bulletin of Soiland Water Conservation, 2024, 44(6): 298-307.
Geng Yixin, Fan Lianlian, Ma Xuexi, et al. Spatiotemporal Characteristics of Vegetation Net Primary Productivity Changes and Influencing Factors in Altay Adjacent Area of China and Mongolia[J]. Bulletin of Soiland Water Conservation, 2024, 44(6): 298-307. DOI: 10.13961/j.cnki.stbctb.2024.06.031.
[目的
]
探究中国新疆阿勒泰地区与蒙古国西部毗邻区植被净初级生产力(NPP)的时空变化特征及其影响因素,旨在为跨境区域生态保护和可持续发展提供参考依据。[方法
]
本研究采用回归分析方法揭示对中蒙阿勒泰毗邻区植被NPP时空变化;并运用相关性分析和地理探测器等方法,深入探索中蒙跨境地区植被NPP的主要影响因素。[结果
]
①2001—2021年,中国新疆阿勒泰地区植被NPP呈微弱下降趋势〔5.49 g/(m
2
·10 a)
以C计〕,而蒙古国西部植被NPP呈显著上升趋势〔27.06 g/(m
2
·10 a),p
<
0.05〕。②气温(0.49,p
<
0.05)和降水(0.31,p
<
0.05)分别是影响中国新疆阿勒泰地区和蒙古国西部植被NPP变化的主要因素。③气温和土地利用类型交互作用对中国新疆阿勒泰地区植被NPP解释力最强(0.68,p
<
0.05),降水和土地利用类型交互作用对蒙古国西部植被NPP解释力最强(0.37,p
<
0.05)。[结论
]
2001—2021年,中国阿勒泰地区植被NPP整体逐年下降,而蒙古国西部植被NPP整体逐年增长,气温、降水分别和土地利用类型的交互驱动是中国阿勒泰地区和蒙古国西部植被NPP的主要驱动类型。
[Objective] The spatiotemporal variation characteristics of vegetation net primary productivity (NPP) and their influencing factors were explored in Altay region of Xinjiang
China
and the adjacent area of Mongolia to provide a reference for cross-border regional ecological protection and sustainable development. [Methods] Regression analysis was used to reveal the spatiotemporal changes in vegetation NPP in Altay region adjacent to China and Mongolia
while correlation analysis and geographical detectors were applied to explore the main influencing factors of vegetation NPP in the cross-border area. [Results] ① From 2001 to 2021
the vegetation NPP in Altay region of Xinjiang
China
showed a slight decreasing trend of 5.49 g/(m2·10 a) (calculated by carbon)
while the vegetation NPP in the western part of Mongolia showed a significant increasing trend of 27.06 g/(m2·10 a
p<0.05). ② Temperature (0.49
p<0.05) and precipitation (0.31
p<0.05) were the main factors affecting vegetation NPP in Altay region of Xinjiang
China
and the western part of Mongolia
respectively. ③ The interaction between temperature and land use type had the strongest explanatory power for vegetation NPP in Altay region of Xinjiang
China (0.68
p<0.05)
while the interaction between precipitation and land use type had the strongest explanatory power for vegetation NPP in the western part of Mongolia (0.37
p<0.05). [Conclusion] From 2001 to 2021
the vegetation NPP in Altay region of China had been declining yearly
while the vegetation NPP in the western part of Mongolia had been increasing yearly. The interactive drivers of temperature
precipitation
and land use types are the main influences on vegetation NPP in both the Altay region of China and the western part of Mongolia.
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