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
{"title":"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","authors":"K. Arun Kumar, Raj Deo Singh, Sanjat Kumar Sahu","doi":"10.1007/s10457-023-00879-3","DOIUrl":null,"url":null,"abstract":"<div><p>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 (<i>Quercus incana</i>), deodar (<i>Cedrus deodara</i>), or pine (<i>Pinus roxburghii</i>) 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.</p></div>","PeriodicalId":7610,"journal":{"name":"Agroforestry Systems","volume":"97 8","pages":"1571 - 1585"},"PeriodicalIF":2.0000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agroforestry Systems","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s10457-023-00879-3","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
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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.
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
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