2000-2019年中国南方竹林区水分利用效率时空特征及驱动机制
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十四五重点研发计划课题"典型森林生态系统碳汇提升经营技术与增汇潜力"(2021YFD2200405);国家林业和草原局/北京市共建竹藤科学与技术重点实验室开放基金(ICBR-2020-16);城市与区域生态国家重点实验室开放基金(SKLURE2022-2-6);四川省社科重点研究基地国家公园研究中心项目(GJGY2022-ZD004)


Spatiotemporal patterns and driving mechanisms of water use efficiency in bamboo forest areas in southern China from 2000 to 2019
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    摘要:

    水分利用效率(Water Use Efficiency,WUE)是深入理解生态系统碳、水循环及两者耦合关系的重要指标,然而我国重要森林类型之一的竹林的WUE时空格局及其驱动机制研究不足。通过MODIS净初级生产力(NPP)和蒸散(ET)数据得到竹林区WUE,采用线性趋势法计算WUE年际变化率表征变化趋势,并应用地理加权回归(GWR)模型分析了WUE与气候和地形等10个驱动因子的关系,探究了中国南方竹林区近20年间(2000-2019) WUE驱动机制。结果表明:(1)2000-2019年中国南方竹林区WUE多年均值为0.89 gC m-2 mm-1,呈显著下降趋势,下降速率为0.0028 gC m-2 mm-1 a-1,ET上升速度大于NPP上升速度是造成WUE下降的主要原因;WUE呈南高北低的空间分布格局,83.5%区域的WUE呈下降趋势。(2)基于GWR模型的WUE驱动力分析发现,WUE变化最强的驱动因子是CO2浓度和年降水量,而海拔、坡度等地形因子的驱动作用较弱,人类活动因子在大部分区域对WUE存在较小的正向驱动作用。明晰了我国竹林区近20年间对气候与环境变化的响应规律,为制定竹林适应性管理措施,并更好地发挥竹林在缓解气候变化方面的作用提供科学依据。

    Abstract:

    Water use efficiency (WUE) is an important index to deeply understand the ecosystem carbon and water cycle and their coupling relationship. However, as one of the important forest types in China, the research on the WUE spatio-temporal pattern and its driving mechanism of bamboo forest is insufficient. In this study, we obtained WUE in bamboo forest areas from MODIS net primary productivity (NPP) and evapotranspiration (ET) data, used the linear trend method to calculate the interannual rate of change of WUE to characterize the change trend, and applied the geographically weighted regression (GWR) model to analyze the relationship between WUE and 10 driving factors, including climate and topography, to explore the WUE driving mechanisms in bamboo forest areas in southern China in 2000-2019. The results showed that:(1) the multi-year mean value of WUE in the bamboo forest areas of southern China was 0.89 gC m-2 mm-1 from 2000 to 2019, showing a decreasing trend, with an average annual decrease of 0.0028 gC m-2 mm-1, because the rising rate of evapotrans piration was greater than that of net primary productivity; WUE showed a spatial distribution pattern of high in the south and low in the north, with 83.5% of the area showing a decreasing trend. (2) The analysis of WUE drivers based on the GWR model showed that the strongest drivers of WUE were CO2 concentration and annual precipitation, while the topographic factors such as elevation and slope had a weaker driving effect, and human activities had a smaller positive driving effect on WUE in most areas. This study clarifies the response patterns of bamboo forests to climate and environmental changes in China, and provides a scientific basis for the development of adaptive management measures for bamboo forests, and for better utilization of bamboo forests in mitigating climate change.

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梁家凤,赵银兵,栾军伟,刘世荣,倪忠云,周国李,陈馨熠,罗宇豪.2000-2019年中国南方竹林区水分利用效率时空特征及驱动机制.生态学报,2023,43(12):5150~5161

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