首页> 外文期刊>Ecological indicators >Predicting litter decomposition rate for temperate forest tree species by the relative contribution of green leaf and litter traits in the Indian Himalayas region
【24h】

Predicting litter decomposition rate for temperate forest tree species by the relative contribution of green leaf and litter traits in the Indian Himalayas region

机译:印度喜马拉雅地区绿叶和垃圾特征的相对贡献预测温带林树种的凋落物分解率

获取原文
获取原文并翻译 | 示例
           

摘要

We examined eight green leaf traits (leaf area, specific leaf area, leaf dry matter, leaf water content, leaf carbon, nitrogen, phosphorous, and chlorophyll) and eight litter traits (cellulose, lignin, litter carbon, nitrogen, phosphorous, lignin: nitrogen, carbon: nitrogen and ash content) and the litter decomposition rates of 10 tree species from a temperate forest ecosystem. Amongst all green leaf and litter traits tested, cellulose content, lignin content and specific leaf area were identified as the best predictors of litter decomposition, with percentage contributions to litter decomposition of 40%, 36% and 8%, respectively. The results indicated that litter decomposition in the temperate forest ecosystem studied was not dependent solely on litter traits, as green leaf traits also contributed to nutrient cycling. Individual green leaf traits of living species and dead leaf characteristics both influenced the fate of leaves, affecting decomposition and nutrient and carbon cycling in the forest ecosystem. For a better overall understanding of the decomposition mechanisms operating in a temperate forest, both green leaf traits and litter traits thus need to be considered.
机译:我们检查了八个绿叶特征(叶面积,特定叶面积,叶片干物质,叶水含量,叶碳,氮气,磷和叶绿素)和八个垃圾特征(纤维素,木质素,垃圾碳,氮,磷,木质素:氮气,碳:氮气和灰分含量)和10树种类来自温带林生态系统的凋落物分解率。在测试的所有绿叶和凋落物性状中,纤维素含量,木质素含量和特异性叶面积被鉴定为凋落物分解的最佳预测因子,凋落物分别分别为40%,36%和8%。结果表明,研究的温带森林生态系统中的凋落物分解不仅依赖于凋落性状,因为绿叶特征也有助于营养循环。生活物种的个体绿叶特征和死叶特征都影响了叶片的命运,影响了森林生态系统中的分解和营养和碳循环。为了更好地了解在温带林中操作的分解机制,需要考虑绿叶特征和垃圾特征。

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