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国家自然科学基金(30870442)

作品数:3 被引量:19H指数:2
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Species-dependent responses of soil microbial properties to fresh leaf inputs in a subtropical forest soil in South China
2014年
Aims Forest disturbance from extreme weather events due to climate change could increase the contribution of fresh green leaves to the litter layer of soil and subsequently alter the composition and activity of the soil microbial properties and soil carbon cycling.The objective of this study was to compare the effect of naturally fallen litter and fresh leaves on the soil microbial community composition and their activities.Methods Fresh leaves and normal fallen litter were collected from four tree species(Pinus elliottii,Schima superba,Acacia mangium,A.auriculaeformis)in subtropical China and mixed with soil.Soil microbial community composition was determined using PLFAs,and its activity was quantified by soil respiration.During a 12-month period,the decomposition rate of litter was measured bimonthly using a litterbag method.Soil microbial samples were collected after 6 and 12 months.Soil respiration was measured monthly.Important Findings We found that fresh leaves decomposed faster than their conspecific fallen litter.Although total microbial biomass and bacterial biomass were similar among treatments,soil fungal biomass was higher in fresh leaf than fallen litter treatments,resulting in greater values of the Fungal phospholipid fatty acids(PLFAs)/Bacterial PLFAs ratio.Fungal PLFA values were greater for Schima superba than the other species.The effect of litter type on soil respiration was species-dependent.Specifically,fallen litter released 35%more CO_(2) than fresh leaves of the conifer P.elliottii.The opposite pattern was observed in the broadleaf species whose fresh leaf treatments emitted 17%–32%more CO_(2) than fallen litter.Given future predictions that global climate change will cause more disturbances to forests,these results indicate that conifer and broadleaf forests in subtropical China may respond differently to increased fresh litter inputs,with net soil microbial respiration decreasing in conifer forests and increasing in broadleaf forests.
Faming WangJin LiuBi ZouDeborah A.NeherWeixing ZhuZhian Li
华南典型人工林土壤有机碳库及其稳定性特征研究被引量:2
2010年
研究了华南地区4种25年林龄的典型人工林土壤有机碳库及其稳定性特征。测定了林内0~10 cm和10~20 cm层土壤的有机碳(Total organic carbon,TOC)含量、易分解碳库/稳定性碳库大小以及土壤微生物生物量碳。结果表明,4种林型土壤TOC含量为:马占相思林>大叶相思林>湿地松林>荷木林,其中豆科人工林(马占相思和大叶相思林)的TOC含量显著高于非豆科人工林(湿地松和荷木林)。在表土层(0~10 cm),荷木林易分解碳库最大(7.80 mg g-1),易分解性碳潜在周转时间最短(49 d),马占相思林易分解碳库最小(2.14 mg g-1),占总碳量也最小(8.63%),说明马占相思林土壤有机碳库比其它人工林具有更好的稳定性。4种人工林表土层土壤微生物量碳含量为马占相思林>湿地松林>大叶相思林>荷木林,马占相思林显著高于其它3种人工林,表土层微生物量碳含量格局与土壤有机碳含量相似,较高的微生物量有利于更多的枯枝落叶转化为土壤有机碳。在亚表土层(10~20 cm),大叶相思林土壤微生物量碳最大,马占相思林最小,与表土层的格局相反,但亚表土层微生物碳总含量并不高。因而,人工林土壤有机碳积累水平与土壤有机碳的稳定性及表层土壤微生物量有关。
刘瑾孙毓鑫王法明邹碧李志安
关键词:人工林土壤有机碳
森林土壤固碳机理研究进展被引量:17
2013年
全球碳平衡中,土壤有机碳储量为2 000 Pg,植被碳储量500 Pg,大气碳储量785 Pg,土壤中有机碳变化是影响大气温室气体含量的重要因素。中国人工林总量世界第一,可以通过造林树种的选择,增加森林土壤的碳汇功能,它主要通过4种机理来实现,包括稳定性有机-矿物复合体的形成、持久性封存的深层碳的增加、耐分解有机物成份的积累、以及土壤团聚体结构中碳的物理性保护。中国近年来对木材的需求上升,导致大量短轮伐期人工林的种植,采伐、火烧炼山、施肥与整地等营林措施对土壤碳汇功能形成重大影响。因而,通过加强对中国人工林土壤固碳机理的研究,通过人为措施实现具有较强固碳能力的森林类型,从而提高人工森林生态系统的固碳能力,它对中国减排增汇战略具有重要意义,而加强对不同营林措施对碳汇功能影响的研究是中国当前面临的重大课题。
许炼烽徐谙为李志安
关键词:人工林营林措施土壤固碳
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