Skip to main content

Climate and litter traits affect the response of litter decomposition to soil fauna

Abstract

Objectives

Soil fauna plays a crucial role in contributing to litter breakdown, accelerating the decomposition rate and enhancing the biogeochemical cycle in terrestrial ecosystems. Comprehending the specific fauna role of functional species in litter decomposition is challenging due to their vast numbers and diversity. Climate and litter quality are widely acknowledged as dominant drives of litter decomposition across large spatial scales. However, the pattern of climate and litter quality modulates the effect of soil fauna on litter decomposition remains largely unexplored. To address this gap, we conducted an extensive analysis using data from 81 studies to investigate how climate and litter traits affects soil fauna in the decomposition.

Data description

The paper describes fauna body size, climate zones (tropical, subtropical and temperate), ecosystem types (forest, grassland, wetland and farmland), soil types (sand, loam and clay), decomposed duration (< 180, 180–360, > 360 days), litter initial traits, average annual temperature and precipitation. The litter traits encompass various parameters such as concentrations of carbon, nitrogen, phosphorus, potassium, lignin, cellulose, total phenol, condensed tannin, hydrolysable tannin and other nutrient traits. These comprehensive datasets provide valuable insights into the role of soil fauna on the decomposition at global scale. Furthermore, the data will give researchers keys to assess how climate, litter quality and soil fauna interact to determine decomposition rates.

Peer Review reports

Objective

As a multifunctional heritage of plants, litter drives biogeochemical cycles and provides habitat and food resources for soil organisms [1, 2]. Its decomposition is an important ecological process that drives nutrient cycling, energy transfer and ecosystem sustainability [3, 4]. Soil fauna is an important driver of litter decomposition, soil structure stabilization, and nutrient cycling [5], but soil fauna remains relatively understudied compared to other soil organisms, such as archaea, bacteria and fungi [6]. The complexity of soil fauna species and their intricate interrelationships [5], makes it challenging to clarify contributions of individual species within the ecosystem. Many researchers have explored their ecological role in units of soil biological functional groups [7]. According to their individual size, soil fauna can be classified as small fauna (soil nematodes), medium fauna (mites, nematodes), and large fauna (earthworms, millipedes). Hence, understanding patterns of body size of soil fauna will enable us to better evaluate their contributions to the ecological processes of litter decomposition.

Climate and litter quality as pivotal factors that influence litter decomposition [8], which could explain about 60–70% of litter decomposition rates in a model [9], but the extent to which soil fauna contributes to this process remains unclear. Climate change the activity of soil fauna by altering the soil microclimate, such as litter layer temperature and humidity, thereby altering the ecosystem function and litter decomposition [10, 11]. Litter complex compounds and secondary compounds is more difficult to decompose, such as lignin, cellulose, hemicellulose, tannins and phenolics, often acting as defense mechanisms against herbivores and soil fauna attacks [12]. At the local scale, there is consensus that litter decomposition is primarily regulated by climate factors (temperature, precipitation and elevation) [8, 13], litter traits (lignin and cellulose) and soil fauna [12, 14]. However, very little is known about how climate and litter quality modulates the effect of soil fauna on litter decomposition at global scale. Our data will allow researchers to explore the relationships between environmental factors, litter initial traits, soil fauna and litter decomposition rates. To our knowledge, this dataset represents the freely available collection of data for climates, litter traits, soil fauna and litter decomposition rates from published on 81 studies (Table 1, Data file1).

Data description

Data collection

Data were collected from the Web of Science and the Chinese National Knowledge Infrastructure (CNKI) databases before 2022. We synthesized studies that the contribution of soil fauna on litter the decomposition in Web of Science using document search formula: TS=(decomposition* or breakdown* or processing* or decay*) and (litter* or leaf* or foliar*or trait*) and (soil fauna or soil invertebrate* or soil animal* or soil detritivore* or nematode* or earthworm* or enchytraeid* or isopod* or termite* or millipede* or tardigrade* or mite* or collembola or springtail* or snail* or gastropod* or arthropod* or protozoa* or ciliophora* or proteus* or flagellate* or coleoptera* or larvae* or insect* or spider* or scorpion* or pseudoscorpionida* or protur* or piplur* or ant* or slug* or lima* or microarthropod* or mesoarthropod* or macroarthropod* or microfauna or macrofauna or mesofauna or micro-* or meso-* or macro-*). In the China National Knowledge Infrastructure (CNKI), we used keywords such as (‘decomposition’ or ‘decay’) and (‘leaf’ or ‘litter’) and (‘soil fauna’ or ‘soil invertebrate’ or ‘soil animal’ or ‘soil detritivore’) and (‘litterbag’). This search yielded a total of 1400 references.

Data filtering

Several criteria were used to minimise potential publication bias: (i) studies had to quantitatively compare litter mass loss, or remaining mass, or calculate the decomposing constant k in field litterbags experiment with different soil fauna; (ii) experiments must incorporate two data categories (soil fauna being both excluded and present treatments); (iii) soil fauna being both excluded and included must possess available data on mean, sample size or replicate, and standard deviation (SD) or standard error (SE); (iv) the published article must have at least one of the following 37 variables: litter properties of mass loss, decomposing k, mass remaining, concentrations of carbon, nitrogen, phosphorus, potassium, sodium, calcium, magnesium, manganese, lignin, cellulose, hemicellulose, total phenol, condensed tannins, hydrolysable tannins, leaf thickness, leaf toughness; fauna properties of specific diversity (Simpson’s diversity index and Shannon–Wiener diversity index), species evenness (Pielou’s evenness index), species richness (Margalef’s richness index), individual density, number of fauna groups; soil quality parameters including soil moisture, soil temperature, pH, soil bulk density, soil total nitrogen, soil total phosphorus, soil organic carbon, soil calcium, soil microbial biomass, soil microbial biomass carbon, soil microbial biomass nitrogen, amount of litter, fine root biomass. In total, the database covered papers published on 81 studies performed at 75 separate sites (Table 1, Data file 1).

Table 1 Overview of data files/data sets

Limitations

(i) The climate types in this database were categorized as tropical, subtropical, and temperate zone. Tibetan Plateau belongs to the temperate zone, it may have a different climate from other temperate zones due to its elevated altitude, strong radiation and low temperature. Hence, it is advisable to consider segregating the Tibetan Plateau from the temperate zone in future research. (ii) The vegetation types in this study collected data from four distinct ecosystems: forest, grassland, wetland and farmland, but did not collect experimental data on ecosystem transition zone. The relationship between soil fauna and litter decomposition in ecological ecotones maybe differ from a single ecosystem. (iii) The methodology employed for positioning litter bag was not accurately recorded in this database, such as lay flat on the ground, the height above the ground, and the depth of burial into the ground, which may affect the experimental results.

Data availability

The data and methods described in this Data note can be freely and openly accessed on Science Data Bank under https://doi.org/10.57760/sciencedb.10380. Please see Table 1 and reference [15] for details and links to the data.

References

  1. Dias ATC, Cornelissen JHC, Ber MP. Litter for life: assessing the multifunctional legacy of plant traits. J Ecol. 2017;105(5):1163–8.

    Article  Google Scholar 

  2. Fujii S, Berg MP, Cornelissen JHC. Living litter: dynamic trait spectra predict fauna composition. Trends Ecol Evol. 2020;35(10):886–96.

    Article  PubMed  Google Scholar 

  3. Guo LB, Sims REH. Litter decomposition and nutrient release via litter decomposition in New Zealand eucalypt short rotation forests. Agr Ecosyst Environ. 1999;75(1–2):133–40.

    Article  CAS  Google Scholar 

  4. Giweta M. Role of litter production and its decomposition, and factors affecting the processes in a tropical forest ecosystem: a review. J Ecol Environ. 2020;44(1):11.

    Article  Google Scholar 

  5. Jones TH, Bradford MA. Assessing the functional implications of soil biodiversity in ecosystems. Eco Res. 2001;16:845–58.

    Article  Google Scholar 

  6. Coyle DR, Nagendra UJ, Taylor MK, Campbell JH, Cunard CE, Joslin AH, et al. Soil fauna responses to natural disturbances, invasive species, and global climate change: current state of the science and a call to action. Soil Biol Biochem. 2017;110:116–33.

    Article  CAS  Google Scholar 

  7. Coleman DC, Whitman WB. Linking species richness, biodiversity and ecosystem function in soil systems. Pedobiologia. 2005;49(6):479–97.

    Article  CAS  Google Scholar 

  8. Garcia-Palacios P, Maestre FT, Kattge J, Wall DH. Climate and litter quality differently modulate the effects of soil fauna on litter decomposition across biomes. Eco Lett. 2013;16(11):1418–8.

    Google Scholar 

  9. Parton W, Silver WL, Burke IC. Global-scale similarities in nitrogen release patterns during long-term decomposition. Science. 2007;315(5810):361–4.

    Article  CAS  PubMed  Google Scholar 

  10. Allison SD, Lu Y, Weihe C, Goulden ML, Martiny AC, Treseder KK, et al. Microbial abundance and composition influence litter decomposition response to environmental change. Ecology. 2013;94:714–25.

    Article  PubMed  Google Scholar 

  11. Yin R, Eisenhauer N, Auge H, Purahong W, Schmidt A, Schadler M. Additive effects of experimental climate change and land use on faunal contribution to litter decomposition. Soil Biol Biochem. 2019;131:141–8.

    Article  CAS  Google Scholar 

  12. Xu X, Sun Y, Sun JJ, Cao PH, Wang YC, Chen HYH, et al. Cellulose dominantly affects soil fauna in the decomposition of forest litter: a meta-analysis. Geoderma. 2020;378:114620.

    Article  CAS  Google Scholar 

  13. Gholz HL, Wedin DA, Smitherman SM, Harmon ME, Parton WJ. Long-term dynamics of pine and hardwood litter in contrasting environments: toward a global model of decomposition. Global Change Bio. 2000;6(7):751–65.

    Article  Google Scholar 

  14. García-Palacios P, Shaw EA, Wall DH, Hattenschwiler S. Temporal dynamics of biotic and abiotic drivers of litter decomposition. Eco Lett. 2016;19(5):554–63.

    Article  Google Scholar 

  15. Wang D, Xie W, Yuan F, Deng C, Qing R, Zhou H. Climate and litter traits affect the response of litter decomposition to soil fauna. Sci Data Bank. 2023. https://doi.org/10.57760/sciencedb.10380.

    Article  Google Scholar 

Download references

Acknowledgements

We are grateful to all authors of previously published articles included in our database. The first author of this study would like to express his gratitude to the scholarship provided by the China Scholarship Council (CSC) and the host lab (UMR AMAP 0931, France) for their joint support to make a one-year stay as a visiting scholar possible.

Funding

This study was supported by a China Scholarship Council to DJ Wang, a Second Tibetan Plateau Scientific Expedition and Research Program (2019QZKK0302-02) to HK Zhou, a Innovation Team Project of Natural Science Foundation of Qinghai Province (2021-ZJ-902) to HK Zhou and RM Qing.

Author information

Authors and Affiliations

Authors

Contributions

DW and HZ prepared the manuscript. JZ provided constructive comments. DW, FY, CD collected data. DW, WX, RQ filtered data. DW made ArcGis graph. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Huakun Zhou.

Ethics declarations

Ethical approval and consent to participate

Ethics committee approval was not required for this review.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, D., Xie, W., Yuan, F. et al. Climate and litter traits affect the response of litter decomposition to soil fauna. BMC Res Notes 16, 321 (2023). https://doi.org/10.1186/s13104-023-06601-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13104-023-06601-x

Keywords