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Shade trees have higher impact on soil nutrient availability and food web in organic than conventional coffee agroforestry.遮荫树对有机咖啡农林系统中土壤养分有效性和食物网的影响大于传统咖啡农林系统。
Sci Total Environ. 2019 Feb 1;649:1065-1074. doi: 10.1016/j.scitotenv.2018.08.291. Epub 2018 Aug 25.
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Biological attributes of rehabilitated soils contaminated with heavy metals.受重金属污染的修复土壤的生物学特性。
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4
Microbiological and faunal soil attributes of coffee cultivation under different management systems in Brazil.巴西不同管理系统下咖啡种植的土壤微生物和动物区系属性
Braz J Biol. 2015 Nov;75(4):894-905. doi: 10.1590/1519-6984.02414. Epub 2015 Nov 18.
5
Soil microbial biomass, basal respiration and enzyme activity of main forest types in the Qinling Mountains.秦岭主要森林类型土壤微生物生物量、基础呼吸和酶活性。
PLoS One. 2013 Jun 28;8(6):e67353. doi: 10.1371/journal.pone.0067353. Print 2013.

巴西巴伊亚西南地区咖啡种植系统中土壤质量的微生物属性指标。

Microbiological attributes as indicators of soil quality in coffee growing systems in Southwest Bahia, Brazil.

机构信息

Department of Agricultural and Soil Engineering, State University of Southwest Bahia, Vitória da Conquista/BA, Brazil.

Department of Soil Sciences, Federal University of Lavras, Lavras, MG, Brazil.

出版信息

Braz J Microbiol. 2024 Jun;55(2):1841-1852. doi: 10.1007/s42770-024-01279-0. Epub 2024 Feb 24.

DOI:10.1007/s42770-024-01279-0
PMID:38401008
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11153454/
Abstract

Microorganisms are important indicators of soil quality due to their sensitivity to changes, reflecting the impacts caused by different land uses. The objective of this study was to evaluate the microbiological and physical-chemical attributes of the soil in areas cultivated with coffee under three different management systems (shaded coffee and full sun coffee with two spacings), as well as in adjacent areas under pasture and native forest, in Bahia, Brazil. The microbiological and physicochemical indicators evaluated were basal soil respiration (MBR), soil total organic carbon (TOC), microbial biomass carbon (MBC), metabolic quotient (qCO), microbial quotient (qMic), enzyme activities (urease, acid phosphatase and fluorescein diacetate hydrolysis (FDA)). Physical and chemical indicators (particle size, texture, pH, P, K, Ca, Mg, Al, and sum of bases) were also evaluated. Biological and chemical attributes were much more discriminative of study areas in the dry season. Microbial quotient (qMic) and metabolic quotient (qCO) in the dry season showed that pasture is the most degraded land use. Conversely, nature forest and coffee with Grevillea were similar and were the best ones. In general, soil quality indicators were more sensitive to discriminate pasture and native forest from coffee systems, which, in turn, were not well discriminated among themselves.

摘要

微生物是土壤质量的重要指标,因为它们对变化敏感,反映了不同土地利用方式造成的影响。本研究的目的是评估巴西巴伊亚州三种不同管理系统(遮荫咖啡和全日照咖啡,两种间距)下种植咖啡的土壤的微生物学和物理化学特性,以及相邻的牧场和原生林地区的土壤特性。评估的微生物学和物理化学指标包括基础土壤呼吸(MBR)、土壤总有机碳(TOC)、微生物生物量碳(MBC)、代谢商(qCO)、微生物商(qMic)、酶活性(脲酶、酸性磷酸酶和荧光素二乙酸水解(FDA))。还评估了物理和化学指标(粒径、质地、pH 值、P、K、Ca、Mg、Al 和碱基总和)。生物和化学属性在旱季更能区分研究区域。旱季的微生物商(qMic)和代谢商(qCO)表明,牧场是退化程度最高的土地利用方式。相反,自然森林和Grevillea 咖啡相似,是最好的。总的来说,土壤质量指标对区分牧场和原生林与咖啡系统更敏感,而咖啡系统之间则不能很好地区分。