嘉陵江流域不同土地利用類(lèi)型土壤微生物功能多樣性特征
本文選題:嘉陵江流域 + 土地利用。 參考:《水土保持研究》2017年05期
【摘要】:基于2013—2015年對(duì)嘉陵江流域中游(四川段)不同土地利用類(lèi)型(混交林、草甸、針葉林、闊葉林、灌叢和裸地)土壤生境的調(diào)查分析數(shù)據(jù),利用Biolog微平板法和磷脂脂肪酸甲酯法(FAMEs)系統(tǒng)研究了土壤微生物多樣性群落特征。不同土地利用類(lèi)型土壤養(yǎng)分和有效養(yǎng)分基本表現(xiàn)為混交林闊葉林針葉林灌叢草甸裸地。不同土地利用類(lèi)型土壤微生物群落代謝平均顏色變化率(AWCD)隨培養(yǎng)時(shí)間延長(zhǎng)而逐漸增加,土壤微生物群落代謝活性依次是混交林闊葉林針葉林灌叢草甸裸地。土壤微生物對(duì)不同種類(lèi)碳源的利用強(qiáng)度存在較大差異,碳水化合物和羧酸類(lèi)碳源是不同土地利用類(lèi)型土壤微生物的主要碳源,其次為氨基酸類(lèi)、酚酸類(lèi)和聚合物類(lèi),胺類(lèi)碳源的利用率最小。土壤微生物群落的物種豐富度指數(shù)(H)、均勻度指數(shù)(E)、優(yōu)勢(shì)度指數(shù)(Ds)和碳源利用豐富度指數(shù)(S)總體趨勢(shì)為混交林最高,針葉林和闊葉林次之,裸地最低,優(yōu)勢(shì)度指數(shù)在不同土地利用類(lèi)型差異并不顯著(p0.05)。主成分分析結(jié)果表明,從31個(gè)因素中提取的與碳源利用相關(guān)的主成分1,主成分2分別能解釋變量方差的65.154%和81.047%,在主成分分離中起主要貢獻(xiàn)作用的是胺類(lèi)和氨基酸類(lèi)碳源;土壤微生物多樣性指數(shù)與土壤養(yǎng)分之間呈正相關(guān),與pH值呈負(fù)相關(guān),而土壤全碳和全氮含量對(duì)土壤微生物多樣性貢獻(xiàn)較大,這是造成土壤微生物群落功能多樣性差異的主要原因。H,E和S與土壤養(yǎng)分各指標(biāo)的相關(guān)系數(shù)絕對(duì)值均高于Ds,說(shuō)明了土壤養(yǎng)分對(duì)土壤微生物群落優(yōu)勢(shì)度指數(shù)的影響作用較小。
[Abstract]:Based on the survey data of different land use types (mixed forest, meadow, coniferous forest, broad-leaved forest, shrub and bare land) in the middle reaches of Jialing River Basin (Sichuan section) from 2013 to 2015, Biolog microplate method and phospholipid fatty acid methyl ester method (FAMES) were used to study the community characteristics of soil microbial diversity. Soil nutrients and available nutrients of different land use types were basically mixed forest broad-leaved forest coniferous forest shrub meadow bare land. The average color change rate of soil microbial community (AWCD) of different land use types increased gradually with the increase of culture time, and the metabolic activity of soil microbial community was in the order of mixed forest broad-leaved forest shrub meadow bare land. The soil microbial utilization intensity of different carbon sources is different. Carbohydrates and carboxylic acid carbon sources are the main carbon sources of soil microbes of different land use types, followed by amino acids, phenolic acids and polymers. The utilization rate of amine carbon source was the lowest. The species richness index, evenness index, dominance index and carbon use richness index of soil microbial community were the highest in mixed forest, followed by coniferous forest and broad-leaved forest, and the lowest in bare land. The difference of dominance index in different land use types was not significant (p 0.05). The results of principal component analysis showed that principal component 1, which was related to the utilization of carbon source, extracted from 31 factors, could explain 65.154% and 81.047% of the variance of the variables, respectively. The carbon sources of amine and amino acids played a major role in the separation of principal components. Soil microbial diversity index was positively correlated with soil nutrients and negatively correlated with pH value, while soil total carbon and total nitrogen content contributed significantly to soil microbial diversity. This is the main reason for the difference of functional diversity of soil microbial communities. The absolute values of correlation coefficients between soil microbial communities and soil nutrient indexes are higher than those of Ds. it shows that soil nutrients have little effect on soil microbial community dominance index.
【作者單位】: 綿陽(yáng)師范學(xué)院資源環(huán)境工程學(xué)院;
【基金】:四川省生態(tài)重點(diǎn)實(shí)驗(yàn)室開(kāi)放項(xiàng)目“基于GIS的龍門(mén)山北段區(qū)域土地利用景觀格局演變及其生態(tài)效應(yīng)評(píng)價(jià)”
【分類(lèi)號(hào)】:S154.3
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