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城乡梯度下不同林分类型土壤团聚体分布及其稳定性     被引量:7

Distribution and Stability of Soil Aggregates in Different Forest Types Under an Urban-rural Gradient

文献类型:期刊文献

中文题名:城乡梯度下不同林分类型土壤团聚体分布及其稳定性

英文题名:Distribution and Stability of Soil Aggregates in Different Forest Types Under an Urban-rural Gradient

作者:杨洪炳[1,2] 肖以华[1] 许涵[1] 黄子峻[1,3] 李明[1] 郭晓敏[2] 游慧敏[1]

第一作者:杨洪炳

机构:[1]中国林业科学研究院热带林业研究所,广东广州510520;[2]江西农业大学林学院,江西南昌330045;[3]华南农业大学林学与风景园林学院,广东广州510642

年份:2022

卷号:35

期号:3

起止页码:82-92

中文期刊名:林业科学研究

外文期刊名:Forest Research

收录:CSTPCD;;Scopus;北大核心:【北大核心2020】;CSCD:【CSCD2021_2022】;

基金:中国林科院基本科研业务专项(CAFYBB2018ZB001-7);广州市林业与园林局“广州市城市森林生态系统效益监测、分析与研究项目(穗财编[2019]105号)”;广东林业生态定位监测网络平台建设项目(2020-KYXM-09)。

语种:中文

中文关键词:珠三角(PRD);城乡梯度;林分类型;团聚体稳定性;大团聚体

外文关键词:Pearl River Delta(PRD);urban-rural gradient;forest stand type;aggregate stability;macro aggregates

分类号:S152.4

摘要:[目的]探究城乡梯度和林分类型对森林土壤团聚体组成及其稳定性机制的影响,为阐明区域土壤质量评价提供理论依据。[方法]以珠江三角洲城市群城乡梯度下3种典型林分为研究对象,分析0~30 cm土层团聚体稳定性变化特征及其影响因素。[结果]3种林分类型土壤团聚体主要由大团聚体(>0.25 mm)组成。马尾松林(PF)和针阔混交林(MF)的水稳性团聚体呈现由大粒径向微团聚体(<0.25 mm)转变趋势,但常绿阔叶林(BF)土壤团聚体各粒级比例无明显变化趋势。土壤水稳性团聚体的平均重量直径(MWD)和几何平均直径(GMD)在城区随PF–MF–BF递进呈先升高后降低趋势,在近郊呈升高趋势,而在乡村呈先降低后升高趋势。质量分形维数(D_(m))和团聚体结构破坏率(PAD)与MWD、GMD变化趋势相反。近郊梯度下土壤团聚体稳定性(机械稳定性和水稳性)随PF–MF–BF递进呈升高趋势。针阔混交林土壤团聚体稳定性在梯度上呈现城区>近郊>乡村趋势。随土层深度增加,不同梯度的3种林分土壤团聚体水稳性降低,而其机械稳定性升高。土壤团聚体水稳性与土壤密度、含水量和有机碳(OC)、全氮(TN)、全磷(TP)含量等呈正相关,与pH及微团聚体含量呈负相关。冗余分析(RDA)结果表明,土壤团聚体在城乡梯度下不同林分类型中分布及其稳定性主要受OC、TN、TP、pH等因素影响,TN为关键影响因子。[结论]土壤团聚结构稳定性大小与城乡梯度、林分类型及其土层密切相关。将马尾松林改造为针阔混交林,可有效提高森林土壤质量及抗侵蚀能力。
[Objective]This study aims to investigate the effects of urban-rural gradient and forest stand type on the fractions of forest soil aggregates and their stability mechanisms and provide a theoretical basis for the elucidation of regional soil quality assessment.[Methods]Three typical forest stand types under the urban-rural gradient of the Pearl River Delta urban agglomerates were selected to analyze the characteristics of the stability of soil aggregates in the 0-30 cm soil layer,as well as their influencing factors.[Results]The soil aggregates of the three forest types mainly consisted of large aggregates(>0.25 mm).The water-stable aggregates of pinus massoniana forest(PF)and mixed coniferous and broad-leaved forest(MF)showed a shift from large size to micro aggregates(<0.25 mm),but the evergreen broad-leaved forest(BF)showed a shift from large size to micro aggregates(<0.25 mm).There was no significant trend in the proportion of soil agglomerates with grain size in evergreen broad-leaved forest(BF).The mean weight diameter(MWD)and geometric mean diameter(GMD)of soil water-stable agglomerates tended to increase and then decrease with PF to MF to BF in urban area,increase in suburban area,and decrease and then increase in rural area.The mass fractal dimension(D_(m))and the aggregate processing damage rate(PAD)of the agglomerates showed opposite comparing with MWD and GMD.The stability(mechanical stability and water stability)of soil aggregates under the suburban gradient increased with the progression of PF–MF–BF.The stability of soil aggregates in the mixed coniferous and broad-leaved forest showed a trend of urban>suburban>rural on the gradient.With the increase of soil depth,the water stability of soil aggregates in the three stands with different gradients decreased,while their mechanical stability increased.Soil aggregate water stability was positively correlated with soil density,water content,and organic carbon(OC),total nitrogen(TN),total phosphorus(TP)content.But it was negatively correlated with pH and micro agglomerate content.The redundancy analysis showed that the distribution and stability of soil agglomerates under the different stand types and the urban-rural gradient were mainly influenced by the OC,TN,TP,and pH.And TN was the dominant factor.[Conclusion]The soil agglomeration structure stability is closely related to urban-rural gradient,stand type,and soil layer.The transformation of pinus massoniana forest into mixed coniferous and broad-leaved forest can effectively improve the forest soil quality and erosion resistance.

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