Response of grassland net primary productivity to dry and wet climatic events in four grassland types in Inner Mongolia.

Q3 Agricultural and Biological Sciences
Plant-environment interactions (Hoboken, N.J.) Pub Date : 2021-10-07 eCollection Date: 2021-10-01 DOI:10.1002/pei3.10064
Md Lokman Hossain, Md Humayain Kabir, Mst Umme Salma Nila, Ashik Rubaiyat
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Abstract

Increasing frequency and intensity of climate extremes have profound impacts on grassland biodiversity functioning and stability. Using Moderate Resolution Imaging Spectroradiometer (MODIS) net primary productivity (NPP) data and standardized precipitation evapotranspiration index, we assessed the response of NPP to growing-season and annual climate extremes and time-lag of climatic conditions across four grassland types (meadow steppe, typical steppe, steppe desert, and desert steppe) in Inner Mongolia, China from the period 2000 to 2019. Results showed that annual NPP varied significantly across four grassland types, with the highest NPP in meadow steppe and the lowest in desert steppe. Annual NPP of all grassland types increased over the past 20 years, but NPP in meadow steppe and typical steppe decreased for the period 2012-2019. Irrespective of grassland type, the 1- and 2-month time-lag of climatic conditions showed significant effects on annual NPP. Growing-season climate was found the better predictor of annual NPP in all grassland types than the annual climate. Compared with growing-season normal climates, annual NPP was lowest in extreme dry events in all grasslands, while highest in extreme wet events in meadow steppe and typical steppe, and in moderate wet events in steppe desert and desert steppe. Typical steppe and steppe desert are highly vulnerable to the increasing intensity of climate extremes, as we found that the losses of NPP in these grasslands in extreme dry were almost double than that of moderate dry events. Surprisingly, for meadow steppe and desert steppe, the losses of NPP for both moderate and extreme dry events were almost the same, which highlights that a low-intensity drought may have profound impacts on the annual NPP of these grasslands. The study provides the key insight in scientific basis to improve our understanding of the effects of climate extremes on grassland NPP, which is critical to sustainable management of grassland and maintain ecosystem stability.

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内蒙古四种草地类型的草地净初级生产力对干湿气候事件的响应。
极端气候频率和强度的增加对草地生物多样性的功能和稳定性产生了深远的影响。利用中分辨率成像分光仪(MODIS)净初级生产力(NPP)数据和标准化降水蒸散指数,我们评估了2000-2019年中国内蒙古四种草原类型(草甸草原、典型草原、荒漠草原和荒漠草原)的净初级生产力对生长季和年度极端气候以及气候条件时滞的响应。结果表明,四种草原类型的年NPP差异显著,其中草甸草原的NPP最高,荒漠草原的NPP最低。在过去的20年中,所有草地类型的年净生产力都有所上升,但草甸草原和典型草原的净生产力在2012-2019年期间有所下降。无论哪种草原类型,气候条件的 1 个月和 2 个月时差对年净生产力都有显著影响。在所有草地类型中,生长季气候比全年气候更能预测年NPP。与生长季正常气候相比,所有草地在极端干旱情况下的年净生产力最低,而在极端潮湿情况下,草甸草原和典型草原的年净生产力最高,在中度潮湿情况下,草原荒漠和荒漠草原的年净生产力最高。典型草原和荒漠草原极易受到极端气候强度增加的影响,因为我们发现这些草原在极端干旱事件中的净生产力损失几乎是中等干旱事件的两倍。令人惊讶的是,草甸草原和荒漠草原在中度干旱和极端干旱事件中的净生产力损失几乎相同,这突出表明低强度干旱可能会对这些草原的年净生产力产生深远影响。该研究为我们更好地理解极端气候对草地净生产力的影响提供了重要的科学依据,这对草地的可持续管理和维持生态系统的稳定至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.70
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