• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Global change biology >Responses of leaf nitrogen concentration and specific leaf area to atmospheric CO2 enrichment: a retrospective synthesis across 62 species
【24h】

Responses of leaf nitrogen concentration and specific leaf area to atmospheric CO2 enrichment: a retrospective synthesis across 62 species

机译：叶氮浓度和特定叶面积对大气CO2富集的响应：62种物种的回顾性合成

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Knowledge of leaf responses to elevated atmospheric [CO2 ] (CO2 concentration) is integral to understanding interactions between vegetation and global change. This work deals with responses of leaf mass-based nitrogen concentration (N (m) ) and specific leaf area (SLA). It assesses the statistical significance of factors perceived as influential on the responses, and quantifies how the responses vary with the significant factors identified, based on 170 data cases of 62 species compiled from the literature. Resultant equations capture about 41% of the variance in the data for percent responses of N (m) and SLA, or about 95% of the variance for N (m) and SLA at 57-320% normal [CO2 ]; these performance statistics also hold for leaf area-based N concentration and specific leaf weight. The equations generalize that: (i) both N (m) and SLA decline as [CO2 ] increases; (ii) proportional decline of N (m) is greater with deciduous woody species and with plants of normally low N (m) , increases with pot size in growth chamber and greenhouse settings and with temperature and photosynthetic photon flux density (PPFD), and is mitigated by N fertilization; and (iii) proportional decline of SLA depends on pot size and PPFD similarly to N (m) , increases with leaf life span and water vapour pressure deficit in enclosed experiments, and decreases with prolonged exposure to elevated [CO2 ] among broadleaf woody species in field conditions. The results highlight great uncertainty in the percent-response data and reveal the potential feasibility to estimate N (m) and SLA at various magnitudes of elevated [CO2 ] from a few key plant and environmental factors of broad data bases.
机译：叶片对升高的大气[CO2]（CO2浓度）响应的知识是理解植被与全球变化之间相互作用的必不可少的部分。这项工作处理基于叶质量的氮浓度（N（m））和特定叶面积（SLA）的响应。它根据文献中汇编的62个物种的170个数据案例，评估了认为对响应有影响的因子的统计显着性，并量化了响应随所识别的重要因子的变化。结果方程捕获了N（m）和SLA响应百分比的数据中约41％的方差，或在正常[CO2]为57-320％时N（m）和SLA的方差约95％。这些性能统计数据还适用于基于叶面积的氮浓度和特定叶重。这些方程式概括为：（i）N [m]和SLA都随着[CO2]的增加而下降; （ii）落叶木本植物和正常低氮（m）的植物中N（m）的比例下降更大，随着生长室和温室设置中的花盆大小以及温度和光合光子通量密度（PPFD）而增加，并且通过氮肥缓解; （iii）SLA的比例下降与N（m）相似，取决于罐的大小和PPFD，在封闭实验中随叶片寿命和水蒸气压亏缺而增加，而在阔叶木本植物中，随着长时间暴露于[CO2]升高而下降。现场条件。结果突出显示了百分比响应数据中的极大不确定性，并揭示了根据广泛数据库中的一些关键工厂和环境因素来估算各种浓度的[CO2]下N（m）和SLA的潜在可行性。

著录项

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