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不同草原生态系统在不同干旱水平下的净初级生产力损失。

Net Primary Productivity Loss under different drought levels in different grassland ecosystems.

机构信息

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing, 100038, China; China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China.

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing, 100038, China; China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China.

出版信息

J Environ Manage. 2020 Nov 15;274:111144. doi: 10.1016/j.jenvman.2020.111144. Epub 2020 Aug 13.

Abstract

Drought is one of the most prominent natural threats to grassland productivity, although the magnitude of this threat is uncertain due to the different drought-levels. However, drought-productivity dynamics has not yet received much attention. It is necessary to establish the method to evaluate quantitatively the effect of different drought-levels on grassland productivity. To better understand the impact of different drought-levels on productivity dynamics, an assessment method to assess the quantitative effects of different drought-levels on grassland productivity was proposed based-on long-term observation data, standardized precipitation index (SPI) and Biome-BGC process model. Based-on assessment indicator of net primary productivity (NPP), NPP loss caused by moderate, severe and extreme drought was dramatically different in grasslands with a significant exponential change with gradient of different drought-levels. Furthermore, NPP loss variation in different grassland types under the same drought level was significantly different. Besides, the effect of drought on NPP gradually decreased by an exponential relationship in desert, typical and meadow steppe. However, the percentage of NPP loss in desert, typical and meadow steppe reduced by 20.5%, 13.1% and 17.5% with U-shaped, respectively. Meanwhile, our results can offer scientific basis to improve assessment impact of extreme climate events used by ecosystem model and data, and cope with carbon cycling management and climate change.

摘要

干旱是草原生产力面临的最主要的自然威胁之一,但由于干旱水平不同,这种威胁的程度尚不确定。然而,干旱生产力动态尚未得到太多关注。有必要建立一种方法来定量评估不同干旱水平对草原生产力的影响。为了更好地了解不同干旱水平对生产力动态的影响,基于长期观测数据、标准化降水指数(SPI)和生物地球化学过程模型,提出了一种评估不同干旱水平对草原生产力定量影响的评估方法。基于净初级生产力(NPP)评估指标,中度、严重和极端干旱对草原生产力造成的 NPP 损失差异很大,与不同干旱水平的梯度呈显著指数变化。此外,在相同干旱水平下,不同草原类型的 NPP 损失变化差异显著。此外,干旱对 NPP 的影响呈指数关系逐渐减弱,在沙漠、典型草原和草甸草原中。然而,沙漠、典型草原和草甸草原的 NPP 损失百分比分别减少了 20.5%、13.1%和 17.5%,呈 U 形。同时,我们的研究结果可为提高生态系统模型和数据对极端气候事件的评估影响提供科学依据,并有助于进行碳循环管理和应对气候变化。

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