Next Article in Journal
Developing Integrated Strategies to Address Emerging Weed Management Challenges in Christmas Tree Production
Next Article in Special Issue
Evaluating the Impact of Long-Term Land Use Change and Age since Disturbance on Soil Faunal Diversity
Previous Article in Journal
Bioaccumulation and Health Risk Assessment of Nickel Uptake by Five Wild Edible Saprotrophic Mushroom Species Collected from Croatia
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Soil Organic Carbon and pH Dominate the Effects of Nitrogen Addition on Soil Microarthropods in a Poplar Plantation in Coastal Eastern China

1
Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
2
NFU Academy of Chinese Ecological Progress and Forestry Development Studies, Nanjing 210037, China
3
College of Art, Henan University of Animal Husbandry and Economy, Zhengzhou 450046, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Forests 2023, 14(5), 880; https://doi.org/10.3390/f14050880
Submission received: 24 March 2023 / Revised: 15 April 2023 / Accepted: 20 April 2023 / Published: 25 April 2023
(This article belongs to the Special Issue Soil Faunal Diversity and Ecological Functions in Forest Ecosystems)

Abstract

:
Soil biodiversity and fuction have been altered by the increasing levels of nitrogen as a result of fertilization and atmospheric deposition. Although soil microarthropods are a crucial component of soil biodiversity and play a key role in a diverse range of soil functions, our understanding of the mechanisms by which N addition affects them remains limited. Using a long-term nitrogen addition experiment (2012–2016) in poplar plantations (Populus deltoides L. CL‘35′) located along the coast of Yellow Sea Forest Park in northern Jiangsu, eastern China (32°52′ N and 120°49′ E), where the soil was entisols, we examined the response of soil microarthropods across three soil depths (0–15 cm, 15–25 cm, 25–40 cm) to five N input levels (0, 5, 10, 15, 30 g N m−2 year−1) over four seasons. We found that the number of microarthropods per unit area initially grew and then dropped as more nitrogen was added to soils. Soil organic carbon (positive correlation, R2 = 0.53) and pH (negative correlation, R2 = 0.19) were the two dominant factors driving the effects of nitrogen addition on soil microarthropod densities at all soil depths. These results suggest that nitrogen input enhances the density of soil microarthropods via the increase in fresh organic matter input. However, the increase in organic matter may be offset by an indirect increase in acidity under high levels of N addition, providing one possible explanation for the reduced density of microarthropods in heavily fertilized soils.

1. Introduction

Soil microarthropods contribute to carbon turnover and maintain soil fertility. Common soil microarthropods, such as free-living Acari and Collembola, decompose fresh organic matter and increase the amount of inorganic N in soils, which commensurately improves primary productivity [1,2,3].
Forest ecosystems, especially in the plantations of coastal eastern China, have experienced increased nitrogen (N) additions resulting from fertilization and atmosphere deposition [4,5,6]. N pollution is likely to continue as fertilization practices and fossil-fuel use increase in industrialized countries. This crisis is further exacerbated by land clearing and burning regimes in developing regions [7,8,9]. Elevated levels of N deposition have only a small effect on aboveground carbon (C) sequestration, but they impact underground C processes significantly [10,11,12]. An extraordinarily high N concentration can reduce the feeding activity and fecundity of microarthropods, which may lead to reduced density and individual death [7,13]. Given our understanding of the important role that microarthropods play in the turnover of organic N, it is likely that their reduced abundance in high-N soils may impact the carbon storage potential of these ecosystems. Despite this, the exact role that N addition plays in microarthropod communities in forest soils is still poorly understood due to the complexity of the interactions between C and N cycles.
In their review, Nijssen et al. concluded that the main effects of increased N deposition on microarthropods were indirect [14], by altering food supply and abiotic conditions [15]. Although these mechanisms were not understood, they did observe an influence of N-deposition on microarthropod communities. Ochoa-Hueso et al. conducted a study on the shrub ecosystem in the semi-arid region of the Mediterranean Sea, indicating that nitrogen addition reduced the number of small and medium-sized arthropods by 44%. The addition of nitrogen has a significant impact on the individual number of Acari. The abundance of Acari first increases and then decreases with the increase in nitrogen application concentration. The addition of nitrogen has a promoting effect on the abundance of Oribatida, and different species of Oribatida have different responses to nitrogen addition. Ochoa-Hueso et al. also observed that the addition of 50 kg N ha−1 year−1 nitrogen is beneficial to the growth of Pauropoda [16].
There are many reasons why N may influence microarthropod communities. First, N deposition affects the food supply of soil microarthropods. Extra N input influences plant productivity, both above- and below-ground, which then alters soil carbon accumulation [16,17]. N addition also causes a shift in soil microbial communities by removing N limitation [18] and changing soil chemical properties [7,19], which is specifically harmful to some soil microarthropods, including many species of Prostigmata [20]. The addition of N can also cause soil acidification, which affects various soil ecological processes [21]. Importantly, the abundance of soil microarthropods may be reduced in alkaline soils [22,23]. In addition, N deposition has been shown to facilitate a buffered microclimate (levelled temperatures and greater humidity) mainly by increasing vegetation density [24,25,26]. The dominant factors influencing soil microarthropods may differ between different ecosystem types.
Soil microarthropods also exhibit temporal and spatial heterogeneity [27,28]. The seasonal dynamics of temperature and plant species composition regulate litter decomposition and soil microarthropod density [29,30,31]. Because of this, the effects of N addition on soil biological processes may be magnified during the growing season [32]. The food source of microarthropods is typically some form of vertically declining biomass of bacteria, fungi and saprophagous soil fauna. The changes that occur with soil depth may also lead to a decrease in predatory soil microarthropods [33]. Furthermore, the impact of N application is expected to weaken with increased soil depth [34]. Plantations are important contributors to global forest function and diversity, particularly in China. China has the largest area of poplar (Populus) plantation (more than 7 × 104 km2) in the world, concentrated in a vast area along the coast [35,36]. The rapidly growing poplars have multiple commercial uses and can also be used to fix carbon dioxide to combat global climate change [37]. Previous research conducted in a costal agroecosystem illustrated that total SOC in topsoil increased by about 14% under the treatment of reduced tilliage with green manure when compared to the no-tillage treatment [38]. Moreover, the afforestation of poplar benefits saline–alkali coastal areas as it can tolerate high-salinity environmental conditions and enhances the aggregation and enrichment of soil organic carbon (SOC) [6].
The objectives of this study were to: (1) examine the effects of inorganic N addition on soil microarthropods in poplar plantations in coastal soils, and (2) evaluate any relationships between soil moisture content and pH (representing the abiotic conditions important to soil microarthropods), between SOC and soil microbial biomass carbon (SMBC) (representing the food supply of soil microarthropods), and the density of Acari and Collembola, the dominant orders of microarthropods in the study area, as shown in our previous research [23,39,40].

2. Materials and Methods

2.1. Site Description

The research site is a coastal area of Yellow Sea Forest Park in northern Jiangsu, eastern China (32°52′ N and 120°49′ E). It lies between the subtropical zone and warm temperate zone, experiencing a conventional monsoon climate with distinct seasons and concentrated rainfall. Temperatures reach a mean of 14.6 °C, and the area has approximately 1050 mm of rainfall each year. The total annual duration of solar radiation is 2200 h [41].
Soils were predominantly entisols and had been desalinated before the reseach area was converted into farmlands or forests. Originally, the soil was allunial soil. The soil is now a sandy loam with high porosity and compressibility, with alkaline pH and a conductivity of 2.68 ± 0.58 ds/m [6]. Farmland covers a total area of 3000 hm2, over 80% of which is occupied with forests which takes up 2500 hm2. The terrain is relatively flat, the stratum is mudstone interbedded with frequent siltstone, and the geological structure could be categorized as an overlying loose layer. The main species of the forest farm include Populus deltoides L., Metasequoia glyptostroboides Hu et Cheng, Ginkgo biloba L., Cinnamomum camphora (L.) Presl, Robinia pseudoacacia L. with understory as Imperata cylindrica (L.) Beauv., Apocynum venetum L., Rosa multiflora Thunb., etc.

2.2. Experimental Design

Treatments were conducted in a 12-year-old pure poplar plantation (Populus deltoids L. ‘35’) with understory vegetation mainly comprising Erigeron annuus, Artemisia argyi and Oplismenus undulatifolius. The planting density of poplar trees was 333 stand ha−1. The canopy coverage was 60% in the study area, and the average tree height was 21.2 m with a mean diameter at breast height (DBH) of 23.2 cm. N was applied six times in the liquid form of NH4NO3 throughout each growing season (approximately once per month from May to October). The amount of water added to the soil through this N application was equivalent to 1.2 mm rainfall, which is negligible.

2.3. Experimental Setup

We established three blocks in 2012, each 30 m × 190 m, spaced > 1 km. Within each block, we established five plots (25 m × 30 m), with 10 m spacing between plots. The N addition treatments were 0, 5, 10, 15, 30 g N m−2 year−1. Soil samples were taken from the 0–15, 15–25 and 25–40 cm soil layer in each of the 15 plots in March, June, September and December 2016. Five soil cores (2.5 cm diameter) were randomly taken in each of the three soil layers in four sampling periods in all fifteen plots. All 5 cores were then homogenized into 1 composite sample, leading to a total of 180 observations.

2.4. Sample Measurements

2.4.1. Soil Microarthropods Identification

We extracted soil microarthropods from 100 g of soil (fresh weight) with modified Tullgren extractors [42]. The soil microarthropod density was calculated as the number found per 100 g dry soil. This collection strategy depended on the efficiency of the extraction technique. All extracted microarthropod samples were preserved in 75% ethanol before they were sorted under a dissecting microscope (LeicaMZ 125, Leica Microsystems, Wetzlar, Germany). Soil microarthropod community biodiversity was classified according to taxonomic group, e.g., Oribatid, Mesostigmatid and Prostigmata, Collembola and Hymenoptera [43]. Our results showed that the Collembola, Oribatida and Prostigmata account for 12.36%, 46.38% and 19.25% of soil fauna, respectively, which is the dominant group of soil fauna, accounting for 77.99% of the total. As a result, we only used data on the communities of Oribatida, Prostigmata and Collembola in this research.

2.4.2. Soil Analysis

To calculate soil moisture content, we baked 10 grams of the fresh soil samples in the oven at 105 °C for 12–24 h until achieving a constant weight. To determine SOC, we hydrolyzed the air-dried samples with HCL and then heated them at 60 °C to dry the samples, as described previously by Chen et al. and Marin et al. [44,45]. Total C and N were measured from the original air-dried samples with an elemental analyzer (Elementar Vario EL, Hanau, Germany). C, N elements in samples were burned, producing CO2 and NO2. The produced gas passed through a sensor that determines the elemental composition of the gas based on its adsorption spectra. Soil pH was determined using a glass electrode in a 1:2.5 soil: water solution (w/v). We used the fumigation–extraction method, which was first described by Vance et al. for soil microbial biomass carbon (SMBC) measured by TOC − VCPH + TNM − 1 (Shimazu Inc., Kyoto, Japan) [6,46]. The microbial cell contents were released into soil after chloroform fumigation, which would greatly increase the extractable carbon, nitrogen, phosphorus and sulfur in the soil. The contents of total carbon and nitrogen in the extractive solution from the soil were extracted by potassium bisulfate. Then, the the contents of microbial biomass carbon and nitrogen were calculated by the comparison of total carbon and nitrogen in both extractive solutions, with or without fumigation.

2.5. Statistical Analysis

To analyse the impacts of the addition to N to pH and SOC, and the abundance of the three microarthropod orders as a whole and individually across four sampling dates and three soil depths, the following linear mixed model was applied:
Y i j k l m = N i + L j + D k + N i × L j + N i × D k + L j × D k + N i × L j × D k + π | B l + ε m ( i j k l )
where Yijklm is soil microarthropod density, SOC or pH; Ni (i = 0, 1, 2, 3, 4) is the level of N addition (0, 5, 10, 15, 30 g N m−2 year−1); Lj (j = 1, 2, 3) is soil layer (0–15, 15–25, 25–40 cm); Dk (k = 1, 2, 3, 4) is sample date (March, June, September and December); π | B l represents random plot effect (l = 1, 2, …9) nested in the three random blocks; and εm(ijkl) (m = 1, 2, 3) is sampling error. We conducted the linear mixed effect analysis using the restricted maximum likelihood estimation within the ‘lme4’ package [47].
To further study the mechanisms associated with changes in soil microarthropod density, we tested how SOC, soil pH, soil moisture and SMBC responded to N application rate, soil layer and sampling date using Equation 1. We then used Pearson correlation analysis, performed using the ‘PerformanceAnalysis’ package [48], to examine the association between soil microarthropod density and these variables. All analyses were performed using R Statistical Software [49].

3. Results

The density of soil microarthropods significantly varied with N application rate, soil layer and sampling season (Table 1, Figure 1). Microarthropod density increased with increases in N application up to a rate of 15 g N m−2 year−1. Beyond that, the addition of N decreased soil microarthropod density (Figure 1A). Microarthropod density decreased sharply from the topsoil to deep soil layers (Figure 1B). Across the four sampling dates, microarthropod density increased from March to September and then decreased in December (Figure 1C). Oribatida were most common, followed by Prostigmata and Collembola. The response to N application rate, soil layer and sampling date was similar in each group (Figure 1).
The effects of N application on soil microarthropod density was dependent on soil depth and sampling season, as we identified a significant interaction among the three factors (Table 1). In the topsoil, microarthropod density was insensitive or increased with low N application rates and declined with high N application rates across all sampling dates, although we identified that the point of change in N rate was dependent on the sampling date (Figure 2). In both March and September, topsoil microarthropod density peaked at an N application rate of 15 g N m−2 year−1, while it peaked at 10 g N m−2 year−1 in June and 15 g N m−2 year−1 in December. Moreover, the seasonal patterns in the responses to N application rate differed among the three soil layers (Figure 2).
Soil organic carbon and soil pH showed a significant response to N application rate, soil depth and sampling date, with multiple significant interaction terms (Table 2). N application accounted for the majority of the variation in SOC and pH, but did not affect soil’s relative moisture content or soil’s microbial biomass carbon (Table 2). Soil organic carbon increased with N application rate, decreased with soil depth, and was higher in September and December than in March and June, whereas soil pH showed contrasting responses (Figure 3).
Pearson correlation analysis showed that soil microarthropod density was positively related to SOC and negatively related to soil pH (Figure 4). Soil moisture was positively related to SOC but negatively related to soil pH. Soil microarthropod density was not significantly related to soil microbial biomass carbon, although microbial soil carbon was positively correlated with soil pH.

4. Discussion

We found that the density of soil microarthropods increased at low N application rates. Soil microarthropod communities are expected to be affected by N-driven ecosystem changes [50]. The addition of N was shown to enhance microarthropod density at first, due to the additional litter input and improved litter quality [25]. Soil microarthropod density was shown to vary in its response to N addition, depending on the duration of the experiment and the intensity of the N addition. In the short term (addition for fewer than 3 years), the impacts of N addition were varied, possibly leading to positive linear increases in soil microarthropod biomass and density or the lack of any relationship [23,51,52]. However, our data showed that soil microarthropod density decreased after only five years of heavy N addition (30 g N m−2 year−1). This finding suggests that, under high-N conditions, the decrease in soil pH may affect soil’s physical and chemical properties, potentially leading to a change in the osmotic potential of a number of soil ions [53], which may create an environment that is toxic to soil microarthropods [54,55]. The decrease in soil pH may also restrict predation and increase the incidence of epidermal burns on microarthropods. We observed that the moderate addition of nitrogen is beneficial for the growth of Oribatida. The density of Oribatida first increases and then decreases with the increase in nitrogen concentration, which is consistent with the trend of changes in the total density of soil fauna (Figure 1). Origami mites can serve as indicator organisms to reflect the impact of nitrogen addition on soil animals.
We found a strong effect of soil layer on soil microarthropod density. Soil depth stratification was observed, likely due to the soil compaction and lower biological activity in the lower layer [56]. Soil animals have previously been reported to gradually decrease in number and diversity in deep soils [57]. Correspondingly, we observed that soil fauna living in the 0–10, 10–25, 25–40 cm layer account for 60.71%, 24.18% and 15.12% of the total, respectively. This may be related to the decrease in root biomass, soil organic matter, temperature and water at these lower depths [58,59,60]. Our analysis provides direct evidence that SOC decreased while soil pH increased with depth, and we also observed that soil microarthropod density was strongly related to both soil organic matter and soil pH, although we acknowledge that the correlation between pH and soil microarthropods density was weaker than the influence of SOC (Figure 4). We observed that both SOC and soil microarthopod density were extremely variable.
Unsurprisingly, we found strong seasonal variations in soil microarthropod density. In winter, the change in soil microarthropods with the increasing amounts of nitrogen application was not as obvious as in other seasons (Figure 2), likely due to the increase in environmental stress, such as the lower temperature, precipitation [61] and the loss of food availability [62].
As Nijssen et al. reviewed, microarthropods are most affected by how an increased N deposition alters their environmental stressors and habitat suitability, including changes in fresh organic matter input and competitive predator–prey relationships [14]. Our results show that SOC and pH were the two most dominant factors driving soil microarthropod density with N addition. It has been reported that short-term N addition enhances SOC via extra litter input. Nitrogen input can promote plant growth and facilitate the net accumulation of plant biomass, thereby increasing the input of SOC through plant litter. This is because nitrogen is an important nutrient, which is necessary to produce the chlorophyll and enzymes responsible for photosynthesis. Because of this, nitrogen input directly impacts photosynthesis and, thus, the plant’s carbon sequestration ability [19,63]. In our study, we found that SOC reached its peak with the addition of 15 g N m−2 year−1, but a further rise in N led to either no increase or a slight decline in SOC. This finding corroborates that long-term and excessive N addition decreases SOC by changing the biomass allocation of plants [64]. The three types of soil fauna involved in this research were as follows: the Oribatida is saprophagous; most of the Prostigmata feed on microorganisms; there are both plant-eating, saprophagous and fungivorous soil microarthropods in the order Collembola. The increase in vegetation biomass and SOC caused by the addition of nitrogen, as well as the increase in soil microbial biomass caused by increased organic matter input, increased the food source for these three types of soil microarthropods, thus increasing their density.
Our results showed that N-induced acidification reduced soil microarthropod density, mitigating the positive effects of N-induced increases in SOC. However, soil was alkaline in our plantations, and even under the highest level of N addition, the soil was still alkaline (Figure 3). Because of this buffered system, the direct effect of reduced pH on soil microarthropods in our sites may be minimal. Instead, we suggest that the effect of N addition on pH could be mediated by two mechanisms: First, when soils are saturated with N, the excess NO3- then induces the leachate of Ca2+, Mg2+ and other base cations, reducing the pH of the soil and increasing the flux of toxic cations such as Al3+, Mn2+ and Rb+ [65]. Secondly, the additional N input could lead to an increase in free acidic soil solution due to the enhanced decomposition of litter [66], which was supported by the correlation analysis in our results (Figure 4). These can be taken up by soil microarthropods directly, but they are toxic [67].
Soil moisture was positively correlated with SOC and negatively correlated with pH in our study, although no significant correlation between soil moisture and microarthropod density was detected. N-addition-induced increases in SOC may enhance the increase in soil moisture, mainly via changing the physical structure of the soil [68]. In turn, this wetter soil could provide a more suitable habitat for soil biota [69]. We suggest that, given time, wetter soils may enhance soil microarthopod density, although this was not observed over the course of this experiment. The effects of soil moisture on pH depended on the initial pH [70]. In our experimental site, soil pH was alkaline (>8.38 ± 0.26). Leaching rates are higher in moist soils, leading to a decrease in pH and soil neutralization [71], as shown in our results.

5. Conclusions

In summary, we found that the densities of soil microarthropods (Oribatid, Prostigmata and Collembola) in poplar plantations in coastal soil first increased and then decreased with the addition of inorganic N. The dominant driving forces for these changes were SOC and pH, although SOC played a much more important role. The results indicated that the increased input of fresh organic matter, which was mainly caused by the increase in plant litter, dominated the effect of N addition on soil microarthropods in these young and sandy plantation soils.

Author Contributions

Z.G., H.X., Y.P. and H.R. designed the project. Z.G. and H.R. provided the funding. Z.G., Y.P. and L.M. performed the bioinformatics and statistical analysis. H.X. collected the samples and conducted the laboratory analysis. Z.G. wrote the original draft of the paper. S.P., Y.P. and H.R. revised the manuscript and contributed to the conception. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Key Research and Development Program of China [2021YFD2200403], Strategic Priority Research Program of the Chinese Academy of Sciences [grant number XDB31000000], the National Natural Science Foundation of China [grant numbers 31870506], Jiangsu Social Development Project [BE2022792], Jiangsu Forestry Science and Technology Innovation and Promotion Program (LYKJ [2021] 25, LYKJ [2022] 16).

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

We would like to thank Guohua Cao for his field assistance and Joseph Elliot at the University of Kansas for his assistance with English language and grammatical editing of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Benedek, K.; Bálint, J.; Máthé, I.; Mara, G.; Felföldi, T.; Szabó, A.; Fazakas, C.; Albert, C.; Buchkowski, R.W.; Schmitz, O.J.; et al. Linking intraspecific variation in plant chemical defence with arthropod and soil bacterial community structure and N allocation. Plant Soil 2019, 444, 383–397. [Google Scholar] [CrossRef]
  2. Feng, X.; Wang, R.; Yu, Q.; Cao, Y.; Jiang, Y. Decoupling of plant and soil metal nutrients as affected by nitrogen addition in a meadow steppe. Plant Soil 2019, 443, 337–351. [Google Scholar] [CrossRef]
  3. Maisto, G.; Santorufo, L.; Milano, V.; Arena, C. Relationships between Quercus ilex L. litter characteristics and soil microarthropod community in an urban environment at different climatic conditions. Appl. Soil Ecol. 2016, 99, 98–109. [Google Scholar] [CrossRef]
  4. Braun, S.; Thomas, V.F.; Quiring, R.; Flückiger, W. Does nitrogen deposition increase forest production? The role of phosphorus. Environ. Pollut. 2010, 158, 2043–2052. [Google Scholar] [CrossRef] [PubMed]
  5. Divito, G.A.; Rozas, H.R.S.; Echeverría, H.E.; Studdert, G.A.; Wyngaard, N. Long term nitrogen fertilization: Soil property changes in an Argentinean Pampas soil under no tillage. Soil Tillage Res. 2011, 114, 117–126. [Google Scholar] [CrossRef]
  6. Ge, Z.; Fang, S.; Chen, H.; Zhu, R.; Peng, S.; Ruan, H. Soil Aggregation and Organic Carbon Dynamics in Poplar Plantations. Forests 2018, 9, 508. [Google Scholar] [CrossRef]
  7. Carson, C.M.; Jumpponen, A.; Blair, J.M.; Zeglin, L.H. Soil fungal community changes in response to long-term fire cessation and N fertilization in tallgrass prairie. Funct. Ecol. 2019, 41, 45–55. [Google Scholar] [CrossRef]
  8. Knorr, M.; Frey, S.D.; Curtis, P.S. Nitrogen additions and litter decomposition: A meta-analysis. Ecology 2005, 86, 3252–3257. [Google Scholar] [CrossRef]
  9. Lu, X.; Gilliam, F.S.; Yu, G.; Li, L.; Mao, Q.; Chen, H.; Mo, J. Long-term nitrogen addition decreases carbon leaching in a nitrogen-rich forest ecosystem. Biogeosciences 2013, 10, 3931–3941. [Google Scholar] [CrossRef]
  10. Bai, Y.; Wu, J.; Clark, C.M.; Naeem, S.; Pan, Q.; Huang, J.; Zhang, L.; Han, X. Tradeoffs and thresholds in the effects of nitrogen addition on biodiversity and ecosystem functioning: Evidence from inner Mongolia Grasslands. Glob. Chang. Biol. 2010, 16, 358–372. [Google Scholar] [CrossRef]
  11. Evans, C.D.; Goodale, C.L.; Caporn, S.J.M.; Dise, N.B.; Emmett, B.A.; Fernandez, I.J.; Field, C.D.; Findlay, S.E.G.; Lovett, G.M.; Meesenburg, H.; et al. Does elevated nitrogen deposition or ecosystem recovery from acidification drive increased dissolved organic carbon loss from upland soil? A review of evidence from field nitrogen addition experiments. Biogeochemistry 2008, 91, 13–35. [Google Scholar] [CrossRef]
  12. Treseder, K.K.; Allen, E.B.; Egerton-Warburton, L.M.; Hart, M.M.; Klironomos, J.N.; Maherali, H.; Tedersoo, L. Arbuscular mycorrhizal fungi as mediators of ecosystem responses to nitrogen deposition: A trait-based predictive framework. J. Ecol. 2018, 106, 480–489. [Google Scholar] [CrossRef]
  13. Corredor, B.B.; Lang, B.; Russell, D. Effects of nitrogen fertilization on soil fauna—A global meta-analysis. In Proceedings of the EGU General Assembly Conference Abstracts, Online, 19 April 2021. [Google Scholar]
  14. Nijssen, M.E.; WallisDeVries, M.F.; Siepel, H. Pathways for the effects of increased nitrogen deposition on fauna. Biol. Conserv. 2017, 212, 423–431. [Google Scholar] [CrossRef]
  15. Zheng, C.; Ouyang, F.; Liu, X.; Ma, J.; Ge, F. Effect of coupled reduced irrigation and nitrogen fertilizer on soil mite community composition in a wheat field. Ecol. Evol. 2019, 9, 11367–11378. [Google Scholar] [CrossRef]
  16. Ochoa-Hueso, R.; Rocha, I.; Stevens, C.J.; Manrique, E.; Lucianez, M.J. Simulated nitrogen deposition affects soil fauna from a semiarid Mediterranean ecosystem in central Spain. Biol. Fert. Soils 2014, 50, 191–196. [Google Scholar] [CrossRef]
  17. Xu, C.; Xu, X.; Ju, C.; Chen, H.Y.; Wilsey, B.J.; Luo, Y.; Fan, W. Long-term, amplified responses of soil organic carbon to nitrogen addition worldwide. Glob. Chang. Biol. 2021, 27, 1170–1180. [Google Scholar] [CrossRef]
  18. Peguero, G.; Folch, E.; Liu, L.; Ogaya, R.; Penuelas, J. Divergent effects of drought and nitrogen deposition on microbial and arthropod soil communities in a Mediterranean forest. Eur. J. Soil Biol. 2021, 103, 103275. [Google Scholar] [CrossRef]
  19. Tan, X.; Machmuller, M.B.; Cotrufo, M.F.; Shen, W. Shifts in fungal biomass and activities of hydrolase and oxidative enzymes explain different responses of litter decomposition to nitrogen addition. Biol. Fertil. Soils 2020, 56, 423–438. [Google Scholar] [CrossRef]
  20. Berg, M.; Ruiter, P.D.; Didden, W.; Janssen, M.; Schouten, T.; Verhoef, H. Community food web, decomposition and nitrogen mineralisation in a stratified Scots pine forest soil. Oikos 2010, 94, 130–142. [Google Scholar] [CrossRef]
  21. Fang, Y.; Xun, F.; Bai, W.; Zhang, W.; Li, L. Long-term nitrogen addition leads to loss of species richness due to litter accumulation and soil acidification in a temperate steppe. PLoS ONE 2012, 7, e47369. [Google Scholar] [CrossRef]
  22. Eckert, M.; Gaigher, R.; Pryke, J.S.; Samways, M.J. Rapid recovery of soil arthropod assemblages after exotic plantation tree removal from hydromorphic soils in a grassland-timber production mosaic. Restor. Ecol. 2019, 27, 1357–1368. [Google Scholar] [CrossRef]
  23. Wang, S.; Tan, Y.; Fan, H.; Ruan, H.; Zheng, A. Responses of soil microarthropods to inorganic and organic fertilizers in a poplar plantation in a coastal area of eastern China. Appl. Soil Ecol. 2015, 89, 69–75. [Google Scholar] [CrossRef]
  24. Chi, L.; Yao, M.; Stegen, J.C.; Rui, J.; Li, J.; Li, X. Long-term nitrogen addition affects the phylogenetic turnover of soil microbial community responding to moisture pulse. Sci. Rep. 2017, 7, 17492. [Google Scholar]
  25. Xue, W.; Rui, C.; Wu, X.; Eisenhauer, N.; Sun, S. Effect of water table decline on the abundances of soil mites, springtails, and nematodes in the Zoige peatland of eastern Tibetan Plateau. Appl. Soil Ecol. 2018, 129, 77–83. [Google Scholar]
  26. Zhou, Y.; Liu, C.; Ai, N.; Tuo, X.; Zhang, Z.; Gao, R.; Qin, J.; Yuan, C. Characteristics of soil macrofauna and its coupling relationship with environmental factors in the loess area of Northern Shaanxi. Sustainability 2022, 14, 2484. [Google Scholar] [CrossRef]
  27. Jiang, Y.; Yin, X.; Wang, F. Composition and Spatial Distribution of Soil Mesofauna Along an Elevation Gradient on the North Slope of the Changbai Mountains, China. Pedosphere 2015, 25, 811–824. [Google Scholar] [CrossRef]
  28. Betancur-Corredor, B.; Lang, B.; Russell, D.J. Organic nitrogen fertilization benefits selected soil fauna in global agroecosystems. Biol. Fertil. Soils 2023, 59, 1–16. [Google Scholar] [CrossRef]
  29. Dickson, C.H.; Underhay, V.S.H.; Ross, V. Effect of season, soil fauna and water content on the decomposition of cattle dung pats. New Phytol. 1981, 88, 129–141. [Google Scholar] [CrossRef]
  30. Liu, S.; Yang, X.; Ives, A.R.; Feng, Z.; Sha, L. Effects of Seasonal and Perennial Grazing on Soil Fauna Community and Microbial Biomass Carbon in the Subalpine Meadows of Yunnan, Southwest China. Pedosphere 2017, 27, 371–379. [Google Scholar] [CrossRef]
  31. Marshall, V.G. Seasonal and vertical distribution of soil fauna in a thinned and urea-fertilized Douglas-fir forest. Can. J. Soil Sci. 1974, 54, 491–500. [Google Scholar] [CrossRef]
  32. Manning, P.; Saunders, M.; Bardgett, R.D.; Bonkowski, M.; Bradford, M.A.; Ellis, R.J.; Kandeler, E.; Marhan, S.; Tscherko, D. Direct and indirect effects of nitrogen deposition on litter decomposition. Soil Biol. Biochem. 2008, 40, 688–698. [Google Scholar] [CrossRef]
  33. Sayer, E.J. Using experimental manipulation to assess the roles of leaf litter in the functioning of forest ecosystems. Biol. Rev. 2010, 81, 1–31. [Google Scholar] [CrossRef]
  34. Boxman, A.W.; Roelofs, J. Effects of liming, sod-cutting and fertilization at ambient and decreased nitrogen deposition on the soil solution chemistry in a scots pine forest in The Netherlands. For. Ecol. Manag. 2006, 237, 237–245. [Google Scholar] [CrossRef]
  35. Fang, S.; Xie, B.; Liu, J. Soil nutrient availability, poplar growth and biomass production on degraded agricultural soil under fresh grass mulch. For. Ecol. Manag. 2008, 255, 1802–1809. [Google Scholar] [CrossRef]
  36. Xie, T.; Zheng, A.B.; Wang, G.B.; Ruan, H.H.; Xu, Y.M.; Xu, C.B.; Ge, Z.W. Seasonal variation patterns of soil labile organic carbon in poplar plantations with different ages in northern Jiangsu. Chin. J. Ecol. 2012, 31, 1171–1178. [Google Scholar]
  37. Wang, G.B.; Deng, F.F.; Xu, W.H.; Chen, H.Y.H.; Ruan, H.H. Poplar plantations in coastal China: Towards the identification of the best rotation age for optimal soil carbon sequestration. Soil Use Manag. 2016, 32, 303–310. [Google Scholar] [CrossRef]
  38. Garcia-Franco, N.; Albaladejo, J.; Almagro, M.; Martínez-Mena, M. Beneficial effects of reduced tillage and green manure on soil aggregation and stabilization of organic carbon in a Mediterranean agroecosystem. Soil Tillage Res. 2015, 153, 66–75. [Google Scholar] [CrossRef]
  39. Tan, Y.; Wang, S.; Ruan, H.; Fan, H.; Xu, K.; Xu, Y.; Xu, C.; Cao, G. Community structure of soil fauna in different age poplar plantations. J. Nanjing For. Univer. (Nat. Sci. Ed.) 2014, 38, 8–12. [Google Scholar]
  40. Yang, B.; Zhang, W.; Fan, H.; Wang, S.; Ruan, H.; Shen, C.; Cao, G. Community structure of soil fauna under different land use types in the coastal area of Northern Jiangsu Province. J. Nanjing For. Univer. (Nat. Sci. Ed.) 2017, 41, 120–126. [Google Scholar]
  41. National Meteorological Information Center. Annual Data Sets of Meteorological Observation in China. Available online: http://data.cma.cn/ (accessed on 20 December 2020).
  42. Wallwork, J.A. The Distribution and Diversity of Soil Fauna; Academic Press: New York, NY, USA, 1976; p. 355. [Google Scholar]
  43. Yin, W. Pictorial Keys to Soil Animals of China; Science Press: Beijing, China, 2000. [Google Scholar]
  44. Chen, G.S.; Yang, Z.J.; Gao, R.; Xie, J.S.; Guo, J.F.; Huang, Z.Q.; Yang, Y.S. Carbon storage in a chronosequence of Chinese fir plantations in southern China. For. Ecol. Manag. 2013, 300, 68–76. [Google Scholar] [CrossRef]
  45. Marin, S.; Andrea, L.E.; Ramona, S.L. Assessment of metals bioavailability to vegetables under field conditions using DGT, single extractions and multivariate statistics. Chem. Cent. J. 2012, 6, 119. [Google Scholar]
  46. Vance, E.; Brookes, P.; Jenkinson, D. An extraction method for measuring soil microbial biomass C. Soil Biol. Biochem. 1987, 19, 703–707. [Google Scholar] [CrossRef]
  47. Bates, D.; Bolker, B.; Walker, S.; Christensen, R.H.B.; Singmann, H.; Dai, B.; Grothendieck, G. lme4: Linear Mixed-Effects Models Using Eigen and S4. R Package Version 2017. Available online: https://cran.r-project.org/web/packages/lme4/ (accessed on 3 March 2020).
  48. Peterson, B.G.; Carl, P.; Boudt, K.; Bennett, R.; Ulrich, J.; Zivot, E.; Lestel, M.; Balkissoon, K.; Wuertz, D. Package ‘PerformanceAnalytics’. 2018. Available online: https://github.com/braverock/PerformanceAnalytics (accessed on 3 March 2020).
  49. R Development Core Team. R: A Language and Environment for for Statistical Computing. Version 3.6.3. 2020. Available online: https://cran.r-project.org/bin/windows/base/old/ (accessed on 3 March 2020).
  50. Cole, L.; Dromph, K.M.; Boaglio, V.; Bardgett, R.D. Effect of density and species richness of soil mesofauna on nutrient mineralisation and plant growth. Biol. Fertil. Soils 2004, 39, 337–343. [Google Scholar] [CrossRef]
  51. Wang, S.; Chen, H.Y.; Tan, Y.; Fan, H.; Ruan, H. Fertilizer regime impacts on abundance and diversity of soil fauna across a poplar plantation chronosequence in coastal Eastern China. Sci. Rep. 2016, 6, 20816. [Google Scholar] [CrossRef]
  52. Boxman, A.W.; Blanck, K.; Brandrud, T.E.; Emmett, B.A.; Gundersen, P.; Hogervorst, R.F.; Kjønaas, O.J.; Perssom, T.; Timmermann, V. Vegetation and soil biota response to experimentally-changed nitrogen inputs in coniferous forest ecosystems of the NITREX project. For. Ecol. Manag. 1998, 101, 65–79. [Google Scholar] [CrossRef]
  53. Meunier, C.L.; Gundale, M.J.; Sanchez, I.S.; Liess, A. Impact of nitrogen deposition on forest and lake food webs in nitrogen-limited environments. Glob. Chang. Biol. 2016, 22, 164–179. [Google Scholar] [CrossRef]
  54. Matson, P.; Lohse, K.A.; Hall, S.J. The Globalization of Nitrogen Deposition: Consequences for Terrestrial Ecosystems. Ambio 2002, 31, 113–119. [Google Scholar] [CrossRef]
  55. Wei, C.; Zheng, H.; Li, Q.; Lu, X.; Yu, Q.; Zhang, H.; Chen, Q.; He, N.; Kardol, P.; Liang, W.; et al. Nitrogen addition regulates soil nematode community composition through ammonium suppression. PLoS ONE 2012, 7, e43384. [Google Scholar] [CrossRef]
  56. Xin, X.L.; Yang, W.L.; Zhu, Q.G.; Zhang, X.F.; Zhu, A.N.; Zhang, J.B.; Goss, M. Abundance and depth stratification of soil arthropods as influenced by tillage regimes in a sandy loam soil. Soil Use Manag. 2018, 34, 286–296. [Google Scholar] [CrossRef]
  57. Whitford, W.G.; Freckman, D.W.; Elkins, N.Z.; Parker, L.W.; Parmalee, R.; Phillips, J.; Tucker, S. Diurnal migration and responses to simulated rainfall in desert soil microarthropods and nematodes. Soil Biol. Biochem. 1981, 13, 417–425. [Google Scholar] [CrossRef]
  58. Kuťáková, E.; Cesarz, S.; Münzbergová, Z.; Eisenhauer, N. Soil microarthropods alter the outcome of plant-soil feedback experiments. Sci. Rep. 2018, 8, 12139–12145. [Google Scholar] [CrossRef]
  59. Soong, J.L.; Nielsen, U.N. The role of microarthropods in emerging models of soil organic matter. Soil Biol. Biochem. 2016, 102, 37–39. [Google Scholar] [CrossRef]
  60. Tsiafouli, M.A.; Kallimanis, A.S.; Katana, E.; Stamou, G.P.; Sgardelis, S.P. Responses of soil microarthropods to experimental short-term manipulations of soil moisture. Appl. Soil Ecol. 2005, 29, 17–26. [Google Scholar] [CrossRef]
  61. Zhang, N.; Liu, W.; Yang, H.; Yu, X.; Gutknecht, J.L.M.; Zhang, Z.; Wan, S.; Ma, K. Soil microbial responses to warming and increased precipitation and their implications for ecosystem C cycling. Oecologia 2013, 173, 1125–1142. [Google Scholar] [CrossRef]
  62. Qiu, L.; Yin, X.; Jiang, Y. Contributions of Soil Meso- and Microfauna to Nutrient Release During Broadleaved Tree Litter Decomposition in the Changbai Mountains. Environ. Entomol. 2019, 48, 395–403. [Google Scholar] [CrossRef] [PubMed]
  63. Zhang, J.; Li, H.; Zhang, H.; Tang, Z. Responses of Litter Decomposition and Nutrient Dynamics to Nitrogen Addition in Temperate Shrublands of North China. Front. Plant Sci. 2021, 11, 2233. [Google Scholar] [CrossRef]
  64. Kleyer, M.; Trinogga, J.; Cebrián-Piqueras, M.A.; Trenkamp, A.; Fløjgaard, C.; Ejrnæs, R.; Bouma, T.J.; Minden, V.; Maier, M.; Mantilla-Contreras, J.; et al. Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants. J. Ecol. 2018, 107, 829–842. [Google Scholar] [CrossRef]
  65. Kinraide, T.B. Toxicity factors in acidic forest soils: Attempts to evaluate separately the toxic effects of excessive Al3+ and H+ and insufficient Ca2+ and Mg2+ upon root elongation. Eur. J. Soil Sci. 2003, 54, 232–333. [Google Scholar] [CrossRef]
  66. He, Z.; A.Tazisong, I.; Yin, X.; B.Watts, D.; Senwo, Z.N.; Torbert, H.A. Long-Term Cropping System, Tillage, and Poultry Litter Application Affect the Chemical Properties of an Alabama Ultisol. Pedosphere 2019, 29, 180–194. [Google Scholar] [CrossRef]
  67. Xu, G.L.; Schleppi, P.; Li, M.H.; Fu, S.L. Negative responses of Collembola in a forest soil (Alptal, Switzerland) under experimentally increased N deposition. Environ. Pollut. 2009, 157, 2030–2036. [Google Scholar] [CrossRef]
  68. Von Haden, A.C.; Dornbush, M.E. Patterns of root decomposition in response to soil moisture best explain high soil organic carbon heterogeneity within a mesic, restored prairie. Agric. Ecosyst. Environ. 2014, 185, 188–196. [Google Scholar] [CrossRef]
  69. Andriuzzi, W.S.; Adams, B.J.; Barrett, J.E.; Virginia, R.A.; Wall, D.H. Observed trends of soil fauna in the Antarctic Dry Valleys: Early signs of shifts predicted under climate change. Ecology 2018, 99, 312–321. [Google Scholar] [CrossRef] [PubMed]
  70. Zárate-Valdez, J.L.; Zasoski, R.J.; Läuchli, A.E. Short-term effects of moisture content on soil solution pH and soil Eh. Soil Sci. 2006, 171, 423–431. [Google Scholar]
  71. Wang, H.; Liu, W.; Zhang, C.L. Dependence of the cyclization of branched tetraethers on soil moisture in alkaline soils from arid–subhumid China: Implications for palaeorainfall reconstructions on the Chinese Loess Plateau. Biogeosciences 2014, 11, 6755–6768. [Google Scholar] [CrossRef]
Figure 1. The response of soil microarthropod density to nitrogen application rate (A) at three soil depths (B) over four sampling dates (C). Values are means with bootstrapped 95% confidence intervals (CI). Differences are significant at α = 0.05 when the CIs do not overlap with the means of other groups.
Figure 1. The response of soil microarthropod density to nitrogen application rate (A) at three soil depths (B) over four sampling dates (C). Values are means with bootstrapped 95% confidence intervals (CI). Differences are significant at α = 0.05 when the CIs do not overlap with the means of other groups.
Forests 14 00880 g001
Figure 2. Soil fauna density in response to nitrogen application rate by soil layers and sampling dates. Values are means with bootstrapped 95% confidence intervals (CI). Differences are significant at α = 0.05 when the CIs do not overlap with the means of other groups.
Figure 2. Soil fauna density in response to nitrogen application rate by soil layers and sampling dates. Values are means with bootstrapped 95% confidence intervals (CI). Differences are significant at α = 0.05 when the CIs do not overlap with the means of other groups.
Forests 14 00880 g002
Figure 3. The responses of soil organic carbon ((A) for correlation between N addition and soil organic carbon, (C) for correlation between soil layer and soil organic carbon, (E) for correlation between sampling date and soil organic carbon) and pH ((B) for correlation between N addition and soil pH, (D) for correlation between soil layer and soil pH, (F) for correlation between sampling date and soil pH) to nitrogen application rate in three soil depths over four sampling dates. Values are means with bootstrapped 95% confidence intervals (CI). Differences are significant at α = 0.05 when the CIs do not overlap with the means of other groups.
Figure 3. The responses of soil organic carbon ((A) for correlation between N addition and soil organic carbon, (C) for correlation between soil layer and soil organic carbon, (E) for correlation between sampling date and soil organic carbon) and pH ((B) for correlation between N addition and soil pH, (D) for correlation between soil layer and soil pH, (F) for correlation between sampling date and soil pH) to nitrogen application rate in three soil depths over four sampling dates. Values are means with bootstrapped 95% confidence intervals (CI). Differences are significant at α = 0.05 when the CIs do not overlap with the means of other groups.
Forests 14 00880 g003
Figure 4. Pearson correlations between soil microarthropod density (Abund), soil organic carbon (SOC), soil pH, soil moisture (humidity) and soil microbial biomass carbon (SMBC). Below the diagonal are the bivariate scatter plots with a smooth line. Above the diagonal, the correlation coefficients and the significance level (* p < 0.05, *** p < 0.001) are shown. Units associated with variables are shown in Figure 1, Figure 2 and Figure 3.
Figure 4. Pearson correlations between soil microarthropod density (Abund), soil organic carbon (SOC), soil pH, soil moisture (humidity) and soil microbial biomass carbon (SMBC). Below the diagonal are the bivariate scatter plots with a smooth line. Above the diagonal, the correlation coefficients and the significance level (* p < 0.05, *** p < 0.001) are shown. Units associated with variables are shown in Figure 1, Figure 2 and Figure 3.
Forests 14 00880 g004
Table 1. The effects of nitrogen application rate (N), soil layer (L), sampling date (D) and their interactions on soil microarthropod density. The linear mixed-effects model used the Kenward–Roger method as the denominator of degrees of freedom.
Table 1. The effects of nitrogen application rate (N), soil layer (L), sampling date (D) and their interactions on soil microarthropod density. The linear mixed-effects model used the Kenward–Roger method as the denominator of degrees of freedom.
SourcedfSum Squares (×103)Fp
N4, 812.48.30.006
L2, 110144.7194.0<0.001
D3, 11026.824.0<0.001
N × L8, 1101.40.50.877
N × D12, 1108.51.90.042
D × L6, 11010.84.8<0.001
N × D × L24, 1104.80.50.958
Bold font indicates statistical significance (α = 0.05). The columns provide the degree of freedom (df), the sum squares, F and p values.
Table 2. The effects of nitrogen application rate (N), soil layer (L), sampling date (D) and their interactions on soil organic carbon (SOC), pH, humidity and microbial biomass carbon (SMBC). The linear mixed-effects model used the Kenward–Roger method as the denominator of degrees of freedom.
Table 2. The effects of nitrogen application rate (N), soil layer (L), sampling date (D) and their interactions on soil organic carbon (SOC), pH, humidity and microbial biomass carbon (SMBC). The linear mixed-effects model used the Kenward–Roger method as the denominator of degrees of freedom.
EffectsSOCpHHumiditySMBC
SSFpSSFpSSFpSS (×103)Fp
N316.083.0<0.0010.733.9<0.0010.0061.30.35020.30.30.866
L2656.71396.3<0.0013.3341.9<0.0010.159.2<0.001390.611.7<0.001
D242.585.0<0.0016.7460.6<0.0010.133.1<0.0016936.6139.0<0.001
N × L38.65.1<0.0010.11.30.2360.0070.80.64578.20.60.786
N × D42.03.7<0.0010.46.2<0.0010.011.10.403214.11.10.390
D × L38.86.8<0.0010.14.8<0.0010.034.5<0.001244.12.40.029
N × D × L81.53.6<0.0010.32.40.0010.031.00.425334.90.80.680
Bold font indicates statistical significance (α = 0.05). The columns provide the sum squares (SS), F and p values.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ge, Z.; Xiao, H.; Pang, Y.; Peng, S.; Mao, L.; Ruan, H. Soil Organic Carbon and pH Dominate the Effects of Nitrogen Addition on Soil Microarthropods in a Poplar Plantation in Coastal Eastern China. Forests 2023, 14, 880. https://doi.org/10.3390/f14050880

AMA Style

Ge Z, Xiao H, Pang Y, Peng S, Mao L, Ruan H. Soil Organic Carbon and pH Dominate the Effects of Nitrogen Addition on Soil Microarthropods in a Poplar Plantation in Coastal Eastern China. Forests. 2023; 14(5):880. https://doi.org/10.3390/f14050880

Chicago/Turabian Style

Ge, Zhiwei, Hanran Xiao, Yanbing Pang, Sili Peng, Lingfeng Mao, and Honghua Ruan. 2023. "Soil Organic Carbon and pH Dominate the Effects of Nitrogen Addition on Soil Microarthropods in a Poplar Plantation in Coastal Eastern China" Forests 14, no. 5: 880. https://doi.org/10.3390/f14050880

APA Style

Ge, Z., Xiao, H., Pang, Y., Peng, S., Mao, L., & Ruan, H. (2023). Soil Organic Carbon and pH Dominate the Effects of Nitrogen Addition on Soil Microarthropods in a Poplar Plantation in Coastal Eastern China. Forests, 14(5), 880. https://doi.org/10.3390/f14050880

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop