Snow Interacts With Defoliation Height to Drive Grassland Sustainability via Grass Biomass Maintenance
文献类型: 外文期刊
第一作者: Xu, Hengkang
作者: Xu, Hengkang;Liu, Nan;Yang, Gaowen;Zhang, Hao;Zhang, Yingjun;Xu, Hengkang;Liu, Nan;Zhang, Yingjun;Badgery, Warwick B.
作者机构:
关键词: Community assembly; Grassland utilization; Soil microbiome; Winter climate change; Winter snow cover; beta-Diversity
期刊名称:RANGELAND ECOLOGY & MANAGEMENT ( 影响因子:2.4; 五年影响因子:2.5 )
ISSN: 1550-7424
年卷期: 2025 年 98 卷
页码:
收录情况: SCI
摘要: Snow amounts and duration are susceptible to climate change and may significantly affect plant diversity and biomass in grassland ecosystems. Yet, the combined effects of grassland use (type and intensity) and snow depth on plant diversity and productivity remain poorly understood. We established two complementary field experiments to explore the mechanisms driving the effects of grassland use (type and intensity) and snow manipulation on plant diversity and productivity in the meadow steppe. An experiment on grassland use type and snow manipulation showed that lower snow cover in winter reduced soil moisture in the snowmelt period, significantly increased the abundance of ammonia-oxidizing archaea and ammonia-oxidizing bacteria, and initiated nitrification earlier, resulting in the loss of soil available nitrogen, and then reduced the aboveground biomass of early grasses. An experiment on grassland mowing intensity and snow manipulation showed that moderate mowing intensity can restrain the loss of grass biomass and soil nutrients and maintain grassland sustainability in winters with less snow. Stochasticity has played a more important role in plant community assembly in higher intensity of grassland use. Based on our results, we recommend that optimal defoliation height can restrain the loss of grass biomass and soil nutrients and maintain grassland sustainability in winters with less snow. This study has potential benefits for optimizing sustainable production and maintaining ecosystem function under winter snowfall changes in the future across large regions of arid and semiarid grasslands. (c) 2024 The Society for Range Management. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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