首页> 外文期刊>Ecological research >Leaf phenological shifts and plant-microbe-soil interactions can determine forest productivity and nutrient cycling under climate change in an ecosystem model
【24h】

Leaf phenological shifts and plant-microbe-soil interactions can determine forest productivity and nutrient cycling under climate change in an ecosystem model

机译:在生态系统模型中,叶片物候变化和植物-微生物-土壤相互作用可以决定气候变化下的森林生产力和养分循环

获取原文
获取原文并翻译 | 示例
           

摘要

Climate change is expected to affect tree leaf phenology by extending the length of the growing season (LGS), which will affect the productivity and nutrient cycling of forests. Interactions between plants and microbes will mediate the ecosystem processes further through microbe-mediated plant-soil feedback (PSF). To investigate the possible consequences of interactions between the extension of the growing season (GS) and PSF under various conditions, we developed a simple theoretical model (LGS-PSF model). The LGS-PSF model predicts that microbe-mediated PSF will intensify the negative effects of increasing temperature on the size of soil carbon stock when compared with simulations without the PSF effect. The combined effects of increasing temperature and PSF on the size of soil carbon stock occurs through enhanced activity of individual microbes and increased microbial population size. More importantly, the model also demonstrated that a longer GS mitigates this negative effect on carbon accumulation in soil, not through increased net primary production, but through intensified competition for nutrients between plants and microbes, thus suppressing microbial population growth. Our model suggested that the interactive effects of the LGS and PSF on carbon and nitrogen dynamics in forests should be incorporated into larger scale quantitative models for better forecasting of future forest functions under climate change.
机译:预计气候变化将通过延长生长期(LGS)的长度来影响树叶的物候,这将影响森林的生产力和养分循环。植物与微生物之间的相互作用将通过微生物介导的植物-土壤反馈(PSF)进一步介导生态系统过程。为了研究在各种条件下生长季节的延长(GS)和PSF之间相互作用的可能后果,我们开发了一个简单的理论模型(LGS-PSF模型)。 LGS-PSF模型预测,与无PSF效应的模拟相比,微生物介导的PSF将加剧温度升高对土壤碳储量的负面影响。温度升高和PSF升高对土壤碳储量的综合影响是通过提高单个微生物的活性和增加微生物种群的规模而实现的。更重要的是,该模型还表明,更长的GS减轻了这种对土壤碳积累的不利影响,而不是通过增加净初级生产力,而是通过加剧植物与微生物之间养分的竞争,从而抑制了微生物种群的增长。我们的模型建议应将LGS和PSF对森林中碳和氮动态的相互作用影响纳入较大规模的定量模型中,以便更好地预测气候变化下的未来森林功能。

著录项

  • 来源
    《Ecological research》 |2016年第2期|263-274|共12页
  • 作者

    Miki Takeshi; Doi Hideyuki;

  • 作者单位

    Natl Taiwan Univ, Inst Oceanog, 1 Sect 4 Roosevelt Rd, Taipei 10764, Taiwan|Acad Sinica, Res Ctr Environm Changes, 128 Acad Rd,Sect 2, Taipei 11529, Taiwan;

    Hiroshima Univ, Inst Sustainable Sci & Dev, 1-3-1 Kagamiyama, Higashihiroshima, Japan|Univ Hyogo, Grad Sch Simulat Studies, Chuo Ku, 7-1-28 Minatojima Minami Machi, Kobe, Hyogo 6500047, Japan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Carbon and nitrogen cycling; Decomposition; Growing season; Plant-soil feedback; Temperature;

    机译:碳氮循环;分解;生长季节;植物-土壤反馈;温度;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号