Influence of land use on soil microbial communities of sub Himalayas of India: insights from phospholipid fatty acid profiles, ribosomal intergenic spacer profiles, soil enzymes, and carbon pools

IF 2 3区农林科学 Q2 AGRONOMY

Agroforestry Systems Pub Date : 2023-08-25 DOI:10.1007/s10457-023-00879-3

K. Arun Kumar, Raj Deo Singh, Sanjat Kumar Sahu

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Abstract

Land use and management practices have a significant impact on soil microbial populations and community composition, thereby influencing ecosystem processes. Soil microbial and biochemical indicators serve as highly sensitive tools for assessing the effects of land use systems. In this study, we investigated soils under ten different land use systems in the Central Himalayas, India, including natural forests dominated by oak (Quercus incana), deodar (Cedrus deodara), or pine (Pinus roxburghii) trees, orchards dominated by apple trees, and crop-based systems in uplands and valleys. We examined phospholipid ester-linked fatty acid (PLFA) profiles, soil enzymes, Ribosomal Intergenic Spacer Analysis (RISA) profiles, microbial biomass carbon and organic carbon as affected by land use. The results revealed that forest soils had significantly higher levels of soil enzymes compared to agricultural soils. Microbial biomass carbon and organic carbon showed a close relationship with the PLFA profiles across different land uses. Gram-positive bacteria (15:0 iso, 16:1 iso G, 16:1 iso H), gram-negative bacteria (10:0 2OH, 12:0 3OH, 17:0 cyc, 19:0cyc 8c, 18:1ω7c11), fungi (18:1ω9c), and arbuscular mycorrhizal fungi (AMF) (16:1) exhibited higher relative abundance in forest systems, whereas gram-positive PLFA markers (C15:0 anteiso, C17:0 iso, C17:0 anteiso) were more prominent in agro-ecosystems. Principal component analysis (PCA) of the PLFA profiles demonstrated that the microbial communities in deodar forest soils were compositionally distinct from other forest soils, while the cultivated soils were grouped together and exhibited higher similarity, except for the organic farming soil. The correlation between PLFA profiles and soil enzymes, microbial biomass carbon, and organic carbon providesinsights into the impact of different land use and management practices on soil microbial health and, consequently, soil health.

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土地利用对印度喜马拉雅山下土壤微生物群落的影响：磷脂脂肪酸图谱、核糖体基因间间隔区图谱、土壤酶和碳库

土地利用和管理实践对土壤微生物种群和群落组成有重大影响，从而影响生态系统过程。土壤微生物和生物化学指标是评估土地利用系统影响的高度敏感的工具。在这项研究中，我们调查了印度喜马拉雅山脉中部十种不同土地利用系统下的土壤，包括以橡树（Quercus incana）、雪松（Cedrus deodara）或松树（Pinus roxburghii）为主的天然林，以苹果树为主的果园，以及高地和山谷中的作物系统。我们检测了受土地利用影响的磷脂酯连接脂肪酸（PLFA）图谱、土壤酶、核糖体基因间间隔蛋白分析（RISA）图谱、微生物生物量碳和有机碳。结果表明，与农业土壤相比，森林土壤的土壤酶水平明显更高。微生物生物量碳和有机碳与不同土地利用的PLFA剖面关系密切。革兰氏阳性菌（15:0 iso，16:1 iso G，16:1 isoH）、革兰氏阴性菌（10:0 2OH，12:0 3OH，17:0 cyc，19:0cyc 8c，18:1ω7c11）、真菌（18:1ω9c）和丛枝菌根真菌（AMF）（16:1）在森林系统中表现出较高的相对丰度，而革兰氏阳性PLFA标记物（C15:0 anteiso，C17:0 iso，C17:0anteiso）在农业生态系统中更为突出。PLFA剖面的主成分分析（PCA）表明，除有机耕作土壤外，迪奥达尔森林土壤中的微生物群落在组成上与其他森林土壤不同，而耕作土壤则聚在一起，表现出更高的相似性。PLFA剖面与土壤酶、微生物生物量碳和有机碳之间的相关性提供了不同土地利用和管理实践对土壤微生物健康以及土壤健康的影响。

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来源期刊

Agroforestry Systems 农林科学-林学

CiteScore

5.30

自引率

9.10%

发文量

审稿时长

4.5 months

期刊介绍： Agroforestry Systems is an international scientific journal that publishes results of novel, high impact original research, critical reviews and short communications on any aspect of agroforestry. The journal particularly encourages contributions that demonstrate the role of agroforestry in providing commodity as well non-commodity benefits such as ecosystem services. Papers dealing with both biophysical and socioeconomic aspects are welcome. These include results of investigations of a fundamental or applied nature dealing with integrated systems involving trees and crops and/or livestock. Manuscripts that are purely descriptive in nature or confirmatory in nature of well-established findings, and with limited international scope are discouraged. To be acceptable for publication, the information presented must be relevant to a context wider than the specific location where the study was undertaken, and provide new insight or make a significant contribution to the agroforestry knowledge base