详细信息
温带过渡区4种典型天然林土壤有机碳组分与碳库管理指数变化特征
Characteristics of soil organic carbon fractions and carbon pool management index in four typical natural forests in temperature-transition zone
文献类型:期刊文献
中文题名:温带过渡区4种典型天然林土壤有机碳组分与碳库管理指数变化特征
英文题名:Characteristics of soil organic carbon fractions and carbon pool management index in four typical natural forests in temperature-transition zone
作者:胡璟[1] 吕世琪[3] 李冰[1] 马志波[2] 符利勇[2] 殷建章[1] 肖玖金[4] 闫佳源[1] 胡宗达[1]
第一作者:胡璟
机构:[1]自然资源部耕地资源调查监测与保护利用重点实验室,四川农业大学资源学院,成都611130;[2]中国林业科学研究院资源信息研究所,北京100091;[3]山西文峪河国家级湿地公园管理局,山西交城030500;[4]四川农业大学林学院,成都611130
年份:2025
卷号:49
期号:11
起止页码:1957-1972
中文期刊名:植物生态学报
外文期刊名:Chinese Journal of Plant Ecology
收录:;北大核心:【北大核心2023】;
基金:国家重点研发计划(2021YFD2200405);森林和湿地生态恢复与保育四川省重点实验室开放课题(2024KFKT03)资助。
语种:中文
中文关键词:林型;土壤有机碳;土壤有机碳组分;土壤碳库管理指数;温带过渡区
外文关键词:forest type;soil organic carbon;soil organic carbon fractions;soil carbon pool management index;temperate-transition zone
分类号:S714.2
摘要:探究温带过渡区典型天然林土壤有机碳组分与碳(C)库管理指数变化特征及其影响因素,对提升土壤C储量和林地质量并制定合理有效的营林管护措施具有十分重要的现实意义。以山西庞泉沟国家级自然保护区境内的白桦(Betula platyphylla)林(BP)、青杄(Picea wilsonii)+华北落叶松(Larix gmelinii var.principis-rupprechtii)+桦树(Betula)针阔混交林(PLB)、白杄(Picea meyeri)+青杄针叶混交林(PP)和华北落叶松林(LP)等4种林型为对象,以灌草地为对照(CK),采集0–20 cm土层土壤样品,分析了土壤有机碳(SOC)、可溶性有机碳(DOC)、易氧化有机碳(EOC)、微生物生物量碳(MBC)和惰性有机碳(ROC)含量以及C库管理指数(CPMI)对林型变化的响应及其影响因素。发现:(1)SOC含量为PP?PLB?BP?LP,较CK分别增加了74.22%、41.62%、39.05%和3.01%;4种天然林林型的DOC、EOC、MBC和ROC含量变化趋势与SOC相似,但DOC和MBC含量变化不显著。(2)DOC:SOC和ROC:SOC受林型显著影响,LP的DOC:SOC和BP的ROC:SOC分别显著高于和低于其他3种天然林;其余C组分含量对SOC含量的贡献未见显著变化,均表现为PP中最低和LP中最高。(3)CPMI受林型显著影响,其变化趋势与SOC含量相似。冗余分析和随机森林分析显示:全氮和硝态氮含量是影响C组分含量和CPMI的主导因素,其次是土壤含水量、有效钾含量和pH值。总体上,混交林尤其是针叶混交林提高了土壤C组分含量和CPMI,改善了土壤质量,有助于土壤C储存;土壤氮含量、水分含量及土壤酸碱度在预测温带过渡区森林生态系统土壤C库变化中起着关键的作用。因此,适当增加土壤氮含量和改善物种多样性可能是提高温带过渡区天然林土壤C固存的有效手段。
Aims The present study aimed to quantify the characteristics of soil organic carbon(SOC)fractions and the carbon(C)pool management index(CPMI)in the topsoil(0?20 cm)of the four different natural forest types in the temperate climate-transition area in Pangquangou National Nature Reserve,Shanxi Province.The study’s findings may offer a potential valuable reference and significant insight into enhancing soil C storage and the forestland quality,as well as the sustainable forest management within native woodlands in the future.Methods A total of four forest types,which were characterized by similar site conditions,were selected to investigate the variations and influencing factors of soil C fractions and the CPMI in the topsoil layer.Here,soil samples were collected from representative forestlands,including Betula platyphylla forest(BP),Picea wilsonii+Larix gmeliniivar.principis-rupprechtii+Betula conifer-broadleaf mixed forests(PLB),P.meyeri+P.wilsonii conifer mixed forest(PP),L.principis-rupprechtii forest(LP)and scrub-grass land(CK),respectively.The contents of SOC and its fractions were measured,and CPMI was calculated.Pearson correlation and redundancy analysis(RDA)were used to examine the relationships between soil environmental factors and carbon pool characteristics.Random forest analysis(RFA)was used to identify the soil properties significantly affecting the soil C fractions and CPMI.Important findings The buildup of SOC and its fractions,as well as soil C pool index(CPI)and CPMI,was influenced by the distinct species composition and forest structure of different forest types.First,the contents of SOC were as follows:PP?PLB?BP?LP,which increased by 74.22%,41.62%,39.05%and 3.01%respectively in the topsoil layer compared to CK.For soil C components,dissolved organic carbon(DOC),easily oxidizable organic carbon(EOC),microbial biomass carbon(MBC)and recalcitrant organic carbon(ROC)contents from the different forest types followed similar trends to the concentration of SOC at the surface layer where PP recorded the maximum concentration.Here we show that MBC and DOC contents did not vary significantly among different forest types.Second,our data clearly evidenced that the DOC:SOC and ROC:SOC were significantly higher and lower in LP and BP,respectively,in comparison to the other three forest types.Conversely,the EOC:SOC,MBC:SOC and AOC:SOC remained consistent,and no significant differences were observed among the four forest types,with the PP exhibiting the lowest values.Third,the variation tendency of CPMI followed the same trend as SOC,while the CPMI in LP was significantly lower than that observed in other forest types.RDA revealed that TN and NO3--N contents play a prominent role in the variation characteristics of soil C pools in the natural forests in the temperate climate-transition zone.Furthermore,we observed that soil water content and available potassium had a significant impact on soil C fractions,while the CPMI was significantly affected by soil water,pH and TP.Taken together,our findings demonstrate that both temperate mixed forests,especially coniferous mixed forests promoted SOC stock by increasing C pool fractions contents,which in turn promoted soil fertility and quality of the forest land in a temperate transition zone.The results of this study emphasize the key role of the interplay between soil nitrogen,soil water and soil pH in predicting soil C pool in temperate forests.Consequently,these results should be considered by the forestry sectors,and suggest that the forest ecological restoration should promote biodiversity especially conifer species in the context of improving C stock and soil quality in temperate forests.Thus,it is predicted that increasing soil nitrogen and species diversity may be an effective measure for improving soil C sequestration in natural forest ecosystems in the temperate climate-transition zone.
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