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秦岭林区主要树种叶片凋落物性质的研究 被引量:13
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作者 何帆 王得祥 +2 位作者 雷瑞德 王宇超 余鸽 《西北林学院学报》 CSCD 北大核心 2008年第4期30-33,共4页
本文对秦岭林区不同海拔的华山松(Pinus armandii)、油松(Pinus tabulaeformis)、锐齿栎(Quercus alienavar.acuteserrata)、华北落叶松(Larix principis-rupprechtii)叶片凋落物的养分元素、有机成分和热值进行比较研究。研究结果表明:... 本文对秦岭林区不同海拔的华山松(Pinus armandii)、油松(Pinus tabulaeformis)、锐齿栎(Quercus alienavar.acuteserrata)、华北落叶松(Larix principis-rupprechtii)叶片凋落物的养分元素、有机成分和热值进行比较研究。研究结果表明:4种凋落叶的粗纤维、粗脂肪含量和热值大小均为油松>华山松>华北落叶松>锐齿栎。养分元素全氮和全磷含量大小为锐齿栎>华北落叶松>华山松>油松。油松、华山松、华北落叶松叶片凋落物的C/N、C/P、粗纤维/N均大于锐齿栎,差异性极显著(P<0.01)。油松的C/N、C/P、粗纤维/N均最高,分别为72.33、1311.28、36.98,是锐齿栎各项比值的1.9~2.5倍。4种树种的凋落叶性质存在差异,但海拔的变化对相同树种凋落叶的性质并没有显著的影响(P>0.05)。 展开更多
关键词 凋落叶性质 养分元素 有机成分
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不同化学性质叶凋落物添加对土壤有机碳矿化及激发效应的影响 被引量:16
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作者 陈甜 元方慧 +1 位作者 张琳梅 胡亚林 《应用生态学报》 CAS CSCD 北大核心 2022年第10期2602-2610,共9页
凋落物输入可显著影响土壤有机碳(SOC)矿化速率,但添加不同化学性质叶凋落物对土壤有机碳矿化释放CO_(2)及激发效应的影响及其机理仍不清楚。本研究将亚热带6种树种^(13)C标记的叶凋落物添加至天然次生林0~10 cm原位土柱中,比较不同树... 凋落物输入可显著影响土壤有机碳(SOC)矿化速率,但添加不同化学性质叶凋落物对土壤有机碳矿化释放CO_(2)及激发效应的影响及其机理仍不清楚。本研究将亚热带6种树种^(13)C标记的叶凋落物添加至天然次生林0~10 cm原位土柱中,比较不同树种叶凋落物添加对土壤总CO_(2)、外源凋落物和土壤来源CO_(2)释放速率和累积量以及激发效应的影响,并量化叶凋落物化学性质与土壤CO_(2)释放累积量、激发效应的相关关系。结果表明:添加叶凋落物能够显著提高土壤总CO_(2)和土壤来源CO_(2)释放量,存在显著正激发效应,激发效应值为68%~128%。不同树种叶凋落物添加对土壤有机碳矿化和激发效应的影响存在显著差异。Pearson相关分析和逐步多元线性回归分析发现,凋落物来源CO_(2)释放累积量与叶凋落物C、P和纤维素含量呈显著负相关,而土壤来源CO_(2)释放量与叶凋落物C∶N和木质素∶N呈显著正相关。综上,不同化学性质的叶凋落物对土壤有机碳矿化和激发效应的影响存在异质性,在亚热带地区森林类型转变过程中营造具有高质量叶凋落物的人工林将有助于减少森林土壤碳损失。 展开更多
关键词 亚热带森林 树种 凋落物化学性质 土壤有机碳矿化 激发效应
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Leaf litter decomposition characteristics and controlling factors across two contrasting forest types 被引量:1
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作者 Yuan-Yuan Zhao Zhuo-Ting Li +1 位作者 Ting Xu An-ru Lou 《Journal of Plant Ecology》 SCIE CSCD 2022年第6期1285-1301,共17页
Plant leaf litter decomposition provides a source of energy and nutrients in forest ecosystems.In addition to traditional environmental factors,the degradation process of litter is also affected by plant functional tr... Plant leaf litter decomposition provides a source of energy and nutrients in forest ecosystems.In addition to traditional environmental factors,the degradation process of litter is also affected by plant functional traits and litter quality.However,at the community level,it is still unclear whether the relative importance of plant traits and litter quality on the litter decomposition rate is consistent.A year-long mixed leaf litter decomposition experiment in a similar environment was implemented by using the litterbag method in seven typical forest types in Dongling Mountain,Beijing,North China,including six monodominant communities dominated by Juglans mandshurica,Populus cathayana,Betula dahurica,Betula platyphylla,Pinus tabuliformis and Larix gmelinii var.principis-rupprechtii and one codominant community dominated by Fraxinus rhynchophylla,Quercus mongolica and Tilia mongolica.The results showed that there were considerable differences in the litter decomposition rate(k-rate)among the different forest types.The community weighted mean(CWM)traits of green leaves and litter quality explained 35.60%and 9.05%of the k-rate variations,respectively,and the interpretation rate of their interaction was 23.37%,indicating that the CWM traits and their interaction with litter quality are the main factors affecting the k-rate variations.In the recommended daily allowance,leaf nitrogen content,leaf dry matter content,leaf tannin content and specific leaf area were the main factors affecting the k-rate variations.Therefore,we suggest that future studies should focus on the effects of the CWM traits of green leaves on litter decomposition at the community level. 展开更多
关键词 Dongling Mountain of Beijing warm temperate forest ecosystem controlling factors of leaf litter decomposition community-weighted mean traits plant functional traits litter quality
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