JOURNAL ARTICLE
Consequences of ten-year abandonment in a subalpine grassland: soil and litter decomposition changes.
Published In: Botanical Journal of the Linnean Society, 2025, v. 2027, n. 4. P. 424 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Oddi, Ludovica; Bergò, Simone Eusebio; Lerda, Cristina; Bresciani, Luca; Galvagno, Marta; Celi, Luisella Roberta; Siniscalco, Consolata 3 of 3
Abstract
This article investigates the early-stage effects of woody species encroachment on soil properties and litter decomposition in a subalpine Nardus grassland in the western Italian Alps. After approximately 10 years of shrub and tree colonization following grazing abandonment, the encroached shrubland exhibited higher soil temperature and moisture, increased dissolved organic carbon, and greater microbial carbon and nitrogen in the soil compared to adjacent grassland, while other soil chemical properties remained largely unchanged. Using standardized Nardus litter to control for litter quality, the study found an accelerated decomposition rate in the shrubland, driven by enhanced microbial activity and microclimatic conditions, without significant differences in the chemical pattern of decomposition. These findings suggest that woody encroachment can rapidly alter soil microenvironment and microbial dynamics, potentially increasing ecosystem carbon loss during early succession stages, although longer-term shifts in soil chemistry and microbial functioning may require more time to manifest.
Additional Information
- Source:Botanical Journal of the Linnean Society. 2025/04, Vol. 2027, Issue 4, p424
- Document Type:Article
- Subject Area:Science
- Publication Date:2025
- ISSN:0024-4074
- DOI:10.1093/botlinnean/boaf018
- Accession Number:184296683
- Copyright Statement:Copyright of Botanical Journal of the Linnean Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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