Abstract
Dryland grasslands cover approximately 16% of Earth’s land surface and support the livelihoods of people worldwide. However, the mechanisms driving their nutrient dynamics under changing environmental conditions remain poorly understood. This study, conducted in a dry savanna ecosystem in South Africa, investigated how grassland management interacted with drought and nitrogen addition in their effects on soil faunal activity and plant-available macro- and micronutrients. Extreme drought did not significantly affect soil invertebrates’ feeding activity in the top 8 cm, likely due to consistently dry conditions during the experimental period. In contrast, moderate grazing stimulated soil fauna feeding activity in the topsoil. Both nitrogen addition and grazing increased faunal activity, particularly at 7–8 cm depth. Drought conditions were associated with higher concentrations of manganese, zinc, and sulphur, while ambient rainfall conditions resulted in higher total nitrogen, magnesium, iron, and copper. Nitrogen addition enhanced mineral nitrogen availability and led to a fivefold increase in iron, and manganese, and doubling of copper. These findings suggest that moderate grazing management improves soil health in savanna grasslands, even under challenging climatic conditions.
Similar content being viewed by others
Introduction
Grasslands cover approximately 30% of the Earth’s land surface, making them the largest terrestrial biome1. They store an estimated 10–30% of the world’s soil organic carbon, serving as an important global carbon reservoir2. Grasslands also support the livelihoods of more than two billion people worldwide3 provide habitat for a rich diversity of flora and fauna, including many endemic and threatened species4 and play a critical role in global food production by sustaining the majority of the world’s grazing livestock.
Managed grasslands dominate the marginal bioclimatic and edaphic regions of drylands, which are defined by an aridity index (AI; mean annual precipitation divided by mean annual potential evapotranspiration) of less than 0.655. Here, grasslands and savanna grasslands represent the most widespread land cover type, occupying ca. 40% of dryland areas6 which corresponds to 16% of Earth’s terrestrial surface. Despite their relatively low primary productivity7 dryland grasslands contribute substantially to rural livelihoods, with livestock rearing being the primary land-use type8. They also sequester substantial amounts of carbon in their soils due to slow decomposition rates under limited water availability9,10. While water is a key limiting factor for plant growth11 nutrient availability – particularly nitrogen – is widely considered another main determinant of aboveground net primary production (ANPP) in dryland grasslands12. However, increasing evidence suggests that grassland productivity is co-limited by other nutrients, such as phosphorus13,14. Craine, et al.15 argue that several nutrients can simultaneously limit production, and others have shown that nutrient supply not only constrains grassland productivity but also affects plant species composition and diversity16,17. Assessing nutrient supply is therefore fundamental to understanding both the functioning and the structure of grassland ecosystems.
In this context, external nutrient inputs may have important effects on the nutrient supply of grassland ecosystems, with consequences for ecosystem functions and services. Here, airborne nitrogen deposition, which results primarily from nitrogen emissions into the atmosphere, is of major importance18. These emissions originate largely from agricultural activities such as livestock farming and fertilizer application, as well as from fossil fuel combustion19. Once in the atmosphere, reactive nitrogen compounds can be transported over long distances before being deposited onto ecosystems. Climate change may further influence nitrogen deposition patterns by altering precipitation regimes, atmospheric circulation, and chemical reaction rates, potentially increasing the spatial extent and variability of nitrogen inputs to terrestrial ecosystems20. The improved soil N availability may feed back to the soil environment21 and to soil fauna communities22 .
Global climate change is projected to increase the frequency and intensity of drought events, particularly in dryland regions, with far-reaching consequences for ecosystem functioning and the provision of key ecosystem services6,23. Drought can disrupt fundamental ecological processes such as nutrient cycling and organic matter decomposition24 both of which are closely linked to soil fauna activity and sensitive to changes in soil moisture availability25,26.
In addition to drought, livestock grazing significantly influences soil properties, fertility, and faunal communities. Herbivores contribute to nutrient inputs by depositing urine and dung, thereby affecting soil carbon and nitrogen pools and enhancing nutrient availability27. Conversely, trampling by herbivores can lead to soil compaction, reducing infiltration rates and negatively impacting soil fauna habitats28. Grazing management practices can thus modify soil properties, underscoring the complex interplay between biotic and abiotic factors in shaping soil ecosystem dynamics.
Despite the ecological and economic importance of dryland grasslands, the mechanisms underlying nutrient dynamics and soil fauna communities under changing environmental conditions remain poorly understood. Little is known about how grazing management interacts with global change drivers such as altered precipitation regimes and nitrogen deposition. While some studies have investigated these factors individually or in limited combinations29,30,31 few have addressed their joint effects with grazing. This has left substantial gaps regarding their combined and potentially interactive effects on biogeochemical processes and soil biological functioning under field conditions.
To address these knowledge gaps, this study aims to investigate how grazing, extreme drought, and nitrogen addition influence nutrient supply and soil fauna feeding activity in dryland grasslands. We hypothesise that (1) both moderate grazing and extreme drought reduce plant nutrient supply; (2) extreme drought decreases soil fauna feeding activity, whereas moderate grazing enhances it; and (3) nitrogen addition increases both plant nutrient supply and soil fauna feeding activity, which is expected to move to deeper soil layers below 5 mm.
In this study, we employed Plant root simulators (PRS) probes to assess nutrient supply rates. PRS probes are ion-exchange membranes encased in plastic supports that functionally mimic plant roots by adsorbing available nutrients from the soil solution over a specified burial period. This method provides a dynamic, in situ measurement of nutrient availability, effectively integrating the effects of soil moisture, temperature, and microbial activity on nutrient fluxes. Previous research has demonstrated that PSR probes correlate well with traditional soil analyses and accurately reflect plant nutrient uptake32,33. Additionally, we evaluated the feeding activity of soil invertebrates using bait lamina strips. By integrating PRS probes and bait lamina assessments, our study aimed to elucidate the complex interactions between grazing management, drought stress, nutrient supply, and soil biological activity in grassland ecosystems.
Results
Soil fauna feeding activity
We tested for the combined effects of grazing with two global change drivers (either severe drought or nitrogen addition) on the feeding activity of soil invertebrates across different soils depths (Table 1). Feeding activity was assessed in 0.5 mm intervals to a depth of 8 cm. Grazing had significant positive effects on soil faunal feeding activity in both the drought and nitrogen model compared to ungrazed conditions. Grazing also had significant interactive effects with soil depth in both drought and nitrogen models, and the three-way interaction was significant in the nitrogen model (Table 1B), highlighting the importance of aboveground feeding activities (grazing) for belowground activities. Unexpectedly, severe drought never exerted significant effects, neither alone nor in any interaction (Table 1A). In many soil depth classes, it was visually observed that there was higher invertebrate activity in grazed plots (G+) that received additional nitrogen (N+; see Fig. 1). A high feeding activity (more than 75% of partly or fully consumed bait substrate) was particularly observed in deeper soil layers (depth intervals of 7.0 to 8.0 cm), but also at 4 cm depth. Interestingly, nitrogen application under ungrazed conditions (N + G-) tended to negatively impact soil fauna feeding activity.
Feeding activity of soil fauna – quantified as the proportion of bait portions in bait lamina strips that was not consumed (black), partly consumed (dark grey) or fully consumed (light grey) – across the six treatment combinations and across all depth classes. Shown are combinations of nitrogen addition (yes: N+, no: N−), grazing (yes: G+, rested: G− and severe drought (yes: D+, ambient rainfall: D−) across 0.5 mm soil depth intervals.
Soil nutrient supply
As was to be expected, the application of nitrogen in the form of urea hugely improved the availability of total mineral nitrogen (total N) and its components ammonium (NH4+) and nitrate (NO3−; see Table 2). On average, total N experienced a fivefold increase, while the availability of NH4+ was increased 30-fold. Interestingly, the availability of the micronutrients iron (Fe) and manganese (Mn) also increased by more than five times, while copper (Cu) increased two-fold. Median values for iron increased from 3.71 (mad = 2.25) µg/10cm2 to 22.26 (8.82) µg/10cm2 while manganese increased from 7.68 (6.77) to 83.06 (54.13) µg P/10cm2. In the nitrogen model, nitrogen addition influenced total N, NO3−, NH4+, Ca, Fe, Mn and Cu while grazing only had an effect on K and S. In the same model the interaction between grazing and nitrogen had no effect on the supply of all the nutrients analysed. However, total mineral N, NO3− and NH4+ were higher in plots that were fertilized compared to plots that were not fertilized (regardless of the grazing treatment) (Fig. 2). A similar trend was also observed for Mn, Fe and Zn.
Combined effects of nitrogen application (yes: N+, no: N−)) and grazing (yes: G+, no: G−) on the uptake of macro- and micronutrients by resin membranes simulating plant roots. The nutrients: nitrates (NO3−–N), ammonium (NH4+–N), calcium (Ca), magnesium (Mg), potassium (K), phosphorus (P), iron (Fe), manganese (Mn), copper (Cu), zinc (Zn), and sulphur (S). All units are in µg/10cm2/160 days. Different letters indicate significant differences at p<0.05. If applicable, letters in brackets refer to an alternative threshold level of p<0.1.
Grazing – in combination with extreme drought– affected several plant-available macro- and micronutrients, specifically the supply of total N, NO3−, magnesium (Mg), zinc (Zn), iron (Fe), Mn, Cu and sulphur (S) (Table 2). Total N, Mg, Fe and Cu were all significantly higher under ambient conditions compared to extreme drought. Calcium and Mg were 33% lower under extreme drought compared to ambient rainfall. The impact of drought on NO3−, Mn, Zn and sulphur differed from the trend shown by total N, Ca and Mg as they were higher in the drought plots compared to under ambient conditions. Grazing increased total N and NO3− in soil but decreased the supply of bioavailable phosphorus by 29%. No grazing effect was observed for the other nutrients. Ungrazed plots supplied 0.55 (0.05) µg P/10cm2 over 23 weeks compared to 0.39 (0.08) µg P/10cm2 over the same period in grazed plots. In the drought model, the interaction of drought and grazing influenced the nutrient supply of total N, NO3−, K, Fe and Cu (Fig. 3). The bioavailability of several nutrients, including total N, NO3− and Fe, were significantly higher in plots that were subjected to drought and grazing. The trend was common for many other nutrients though not statistically significant.
Combined effects of drought (yes: D+; no: D−) with grazing (yes: G+; no: G−) on plant-available cations and anions (measured as their uptake by resin membranes simulating plant roots). The nutrients: nitrates (NO3- - N), ammonium (NH4+–N), calcium (Ca), magnesium (Mg), potassium (K), phosphorus (P), iron (Fe), manganese (Mn), copper (Cu), zinc (Zn), and sulphur (S). All units are in µg/10cm²/160 days. Different letters indicate a significant difference at p<0.05. If applicable, letters in brackets refer to an alternative threshold level of p<0.1.
Discussion
While the individual effects of global change drivers such as altered precipitation and nitrogen deposition are increasingly understood, their interactions with grassland management in dryland ecosystems remain poorly resolved24,34. Our findings contribute to narrowing this gap by examining how grazing influences nutrient dynamics and soil faunal activity jointly with extreme drought or nitrogen addition.
A key finding was the lack of a significant effect of drought on the feeding activity of soil fauna – a proxy for their contribution to decomposition processes35. This result was unexpected, as previous studies have consistently reported drought-induced reductions in soil biological activity (e.g36,37,38,39. Moreover, a previous study from the same experimental site as this study24 reported higher soil carbon stocks and lower soil CO2 emission rates under drought, which further supports the idea of a reduced decomposition activity under dry conditions. One possible explanation of our findings lies in the fact that the second half of the 2018/19 growing season (January to May) received only 35 mm of rainfall and thus more than 80% less than the long-term mean during these months, suggesting that baseline soil moisture was already low even in ambient treatments. Consequently, differences in water availability between drought and control plots may have been too small to elicit contrasting soil faunal responses. Similar underestimations of drought effects have been reported elsewhere40.
It is also possible that the drought led to a spatial redistribution of soil invertebrates rather than a reduction in their activity per se. Drier conditions in the topsoil often cause certain invertebrate groups to migrate to deeper soil layers41,42 with ants and termites being particularly dominant in southern Africa’s semi-arid grasslands43. In this context, we hypothesised that, under drought, soil fauna would shift their feeding activity to layers below the top 5 cm of the soil, the region for which Hamel, et al.44 and Filzek, et al.45 reported the highest activity, because moisture conditions are usually more favourable. Although the results are not conclusive, our findings (Fig. 1) indicate a slight increase in feeding activity at lower soil layers (7–8 cm) compared to the upper most layers. The limited response to drought may be explained by the minimal differences in soil moisture between treatments and the restricted depth of bait lamina insertion (max. 8 cm). It remains possible that greater feeding activity occurred below this depth, but this could not be captured with our method.
In contrast, the combination of nitrogen addition and grazing (N + G+) resulted in increased feeding activity throughout the topsoil. This likely reflects enhanced nutrient inputs: Urea provides inorganic nitrogen, while livestock contribute additional substrates for soil fauna in the form of urine and dung27. Urine is rich in nitrogen (in the form of urea), and dung provides organic carbon10 both of which stimulate microbial and invertebrate activity46. Moreover, livestock trampling helps incorporate surface litter into the soil47,48 making it more accessible to decomposers49. We found this effect to appear strongest in the upper 0–5 cm, with particularly elevated activity between 1 and 2 cm. In addition, grazing in subtropical grasslands may enhance belowground carbon allocation to roots50 providing further energy sources for soil biota.
Soil invertebrates play a key role in organic matter decomposition and nutrient mineralisation51 making their activity essential for plant nutrient supply52,53. Beyond faunal activity, our study also investigated how the treatments affected nutrient availability. We found that drought significantly reduced the supply of calcium (Ca) and magnesium (Mg) while increasing sulphur (S) availability. The latter aligns with findings from Sardans, et al.54 who also found increased soil sulphur due to drought. The reduced availability of Ca and Mg reflects their lower solubility or diffusivity in dry soils compared to other nutrients55.
Nitrogen addition increased not only ammonium and nitrate availability but also stimulated the availability of several micronutrients, particularly iron (Fe), manganese (Mn) and copper (Cu). The supply of Fe and Mn increased fivefold, while Cu supply doubled. These results are consistent with the findings of Rutkowska, et al.56 and Li, et al.57 who also reported enhanced micronutrient availability following nitrogen addition. Ammonium-based fertilizers tend to acidify the soil through nitrification58 and since micronutrient mobility increases under lower pH, this may explain the observed increase.
Our results suggest that even a modest nitrogen addition (3.3 g N/m2) can enhance the availability of essential nutrients in semi-arid grasslands, potentially leading to a higher primary productivity. Cattle grazing can also add nitrogen to the system through uneven but locally high deposition of urine and dung59 with faecal nitrogen from cattle averaging approx. 0.8 g N per 100 g of dry matter consumed, while nitrogen concentrations in urine range from 1 to 20 g/L60. This phenomenon is well-known from semi-arid grasslands, in particular from the biospheres around artificial water points61,62. Although not statistically significant, grazed plots in our study showed slightly higher mineral and total nitrogen levels, in line with these processes.
Conclusion
This study found that exposure to extreme drought did not significantly affect soil faunal activity. However, the very low ambient rainfall during the experimental period may have masked potential treatment effects by creating uniformly dry conditions across all plots. In contrast, the combination of livestock grazing and nitrogen addition enhanced soil faunal activity in the topsoil, likely due to increased nutrient inputs and improved litter incorporation. Furthermore, nitrogen addition in the form of ammonium not only increased the availability of inorganic nitrogen but also stimulated the supply of key micronutrients, including iron, manganese, and copper. These findings suggest that moderate nutrient inputs and grazing can support belowground processes in semi-arid grasslands, even under challenging climatic conditions.
Methodology
Study site
The study was conducted at the University of Limpopo’s Syferkuil experimental farm, Limpopo Province, South Africa (Fig. 4). The climate is classified as arid steppe hot climate63 which receives annual average rainfall ranging from 400 to 600 mm64. Average minimum and maximum temperatures are 4–20 °C in winter and 17–27 °C in summer.
Location of the DroughtAct experiment at the University of Limpopo’s experimental farm in South Africa’s Capricorn District of Limpopo Province (adopted from24.
Only 32 mm of rain fall was received from March to August 2020, the period in which the experiment was carried out. Daily temperature, rainfall and other weather data were recorded from an automatic weather station installed at the experimental farm. The maximum temperature, minimum temperature and rainfall recorded in the year 2020 are shown in (Fig. 5).
Rainfall, maximum and minimum temperature recorded in the year 2020 at the weather station situated in ca. 1 km distance to the field experiment. Minimum T = minimum temperature, Maximum T = maximum temperature. The arrows pointing downwards show the onset and end of the period when the bait lamina strips and the PRS probes were buried.
The soils are mainly shallow (30–50 cm), reddish-brown loamy sand soils, underlain by soft plinthic B horizon and classified as Plinthisols65,66. The vegetation has been described as an open thorn bush savanna belonging to the Pietersburg Plateau False Grassveld type (Acocks, 1994). The herbaceous layer is dominated by perennial C4 grasses such as Themeda triandra Forssk., Digitaria eriantha Steud., Schmidtia pappophoroides Steud. ex J.A.Schmidt and Eragrostis spp., while the woody component is dominated by Vachellia tortilis (Forssk.) Galasso & Banfi (Low and Rebelo, 1998).
The experimental site is part of a rotational camp system that is moderately grazed at a stocking density of 0.11 LSU ha− 1 where a Large Stock Unit (LSU) is equivalent to a mature cow with a bodyweight of 450 kg (Meissner, 1983). Grazing periods did not exceed 30 days, with intermittent recovery of not less than six weeks during the growing season (eight weeks during the dry season, respectively). The rotational management was established six years prior to the set-up of the experiment, resulting in good rangeland condition at the onset of treatments.
Experimental design
We conducted our experiment within the large field experiment ‘DroughtAct’, which combines a severe drought treatment with a resting treatment. A full factorial experimental design was applied, with crossed drought treatments (two levels: severe drought D+, or ambient rainfall D-); grazing treatments (two levels: moderate grazing G + or resting, G-) and nitrogen addition (two levels: nitrogen added N + or not added N-) replicated over four blocks. The resulting 24 plots (10 × 10 m) were separated by corridors with a width of 5 m. Cattle grazing on G- plots was excluded with the aid of permanent wire fences. On D + plots, rainfall was reduced by 66% through the use of large rainout shelters with a size of 36 m², established at the centre of the plots. The rainout shelters allowed for cattle to roam and graze under them. Because the shelters were open on all sides and had a minimum height of 2 m, they had negligible effects on the air temperature beneath them (data not shown). We also oriented the lower sides of the shelters to intercept rain from the dominant wind direction67. To prevent interference of lateral soil water movements, we trenched around the perimeter of the rainout shelters to maximum soil depth (≤ 70 cm) and inserted an impermeable plastic sheet. Sampling was restricted to a central subplot area in each plot (4.8 m x 4.8 m) to reduce marginal effects. Grazing and drought treatments were established in October 2014, i.e., before the vegetation period 2014/15. More information on the experimental layout can be obtained in Munjonji, et al.24.
In early 2019, at the onset of the fifth treatment year of DroughtAct, two nitrogen addition treatments were conducted as an add-on to the DroughtAct design. Specifically, we added nitrogen to grazed plots (N + G+) and to plots with grazing exclosure (N + G-), both under ambient rainfall conditions. In these treatments, 10 g N /m² in form of granular Urea (46% N) was applied in three single doses at a rates of 7.6 g Urea / m² equating 3.3 g N m-² (33 kg N ha− 2) in the first half of the rainy season 2019/2020. The latest application was about six weeks before installing the bait lamina strips and PRS probes. Nitrogen treatments were not combined with the ongoing drought treatment.
Assessment of soil fauna feeding activity
To assess the feeding activity of edaphic fauna under field conditions, bait laminas strips were used, which are a commonly applied, standardized field method68. Each strip had a size of 6 mm × 120 mm and contained 16 holes filled with an artificial organic bait substrate (1.5 mm in diameter) spaced at 5 mm intervals. Five replicate strips were carefully inserted vertically into the top 8 cm soil horizon, making sure that they did not break. Bait lamina strips were installed in the second half of the rain season, i.e., on 03 March 2020, and remained until well after the vegetation period (in total, 23 weeks). Upon retrieval on 23 August 2020, visual inspection was undertaken to evaluate feeding activity. For each hole, feeding activity was scored as empty (1), partly empty (0.5), or filled (0) for each of the bait-filled holes. When the hole was empty it meant that all the bait was fed on by the soil fauna and when partly empty means only a small part was consumed while filled meant that no feeding activity occurred.
After retrieval, the strips were visually inspected to evaluate feeding activity. For each hole, feeding was scored as: empty (1) if all the bait had been consumed, partly empty (0.5) if some bait remained, and filled (0) if no feeding activity was evident.
Assessment of plant nutrient supply
We used Plant Root Simulator (PRS®) probes (Western Ag Innovations, Saskatoon, SK, Canada) to assess plant-available nutrient supply rates in the rooting zone. Each PRS probe consists of a pair of ion exchange membranes – one for anions and one for cations – encapsulated in a plastic frame. These membranes have a high density of ion adsorption sites on their resin surface, enabling them to function as ion sinks when placed in soil, mimicking the nutrient uptake of plant roots. When placed in the soil during the growth period, they provide a seasonally integrated estimate of plant-available macro- und micronutrients, also in dryland grasslands69. In each plot, four pairs of PRS probes were installed vertically at a depth of 10 cm. The probes remained in the soil for 23 weeks, from 3 March to 11 August 2020. After retrieval, they were gently washed with deionised water to remove any adhering soil, then packed and sent to the Western Ag Innovations laboratory for analysis (see https://www.westernag.ca/innovations/technology/analysis_units). The analyses were conducted for micro and macro nutrients.
Burial period
The bait lamina strips and PRS probes were originally intended to remain in the ground for six weeks, until the end of April 2020; however, due to COVID-19 restrictions, they could only be retrieved in August 2020. This delay is unlikely to have affected the results, as the last significant rainfall occurred at the end of May and the plant growing season had already concluded by that time.
Data processing and statistical analysis
Soil fauna feeding activity was analyzed using two separate Cumulative Link Mixed Models (clmm from R-package ordinal70, whereby the response was a factor of three levels of feeding activity: no activity (filled holes), medium activity (partly filled holes), and high activity (empty holes) on the bait lamina strip. One model tested drought, grazing, depth and their interactions, the second nitrogen, grazing, depth and their interactions. In both models, the individual bait lamina strip was included as random effect. For the visualization, the proportion of no, medium, and high activity, was calculated for all treatments and depths separately.
The effects of drought and grazing and their interaction, as well as the effects of nitrogen and grazing and their interaction on cation/anion uptake were assessed via two separate linear mixed effect models considering the block as random factor and followed by a Type III-ANOVA with Satterthwait´s method, using lmerTest package71. If needed, the response variable was log-transformed prior to analysis to meet the assumptions of ANOVA. A Tukey-HSD test was further used for a pairwise comparison of treatments. We further calculated median values and median absolute deviation (mad) for cation/anion uptake for different treatments. All statistics were done with R72.
Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Suttie, J. M., Reynolds, S. G. & Batello, C. Grasslands of the World Vol. 34 (Food & Agriculture Org, 2005).
Zhou, G. et al. Effects of livestock grazing on grassland carbon storage and release override impacts associated with global climate change. Glob. Change Biol. 25, 1119–1132 (2019).
Squires, V. R., Dengler, J., Feng, H. & Hua, L. Grasslands of the World. Diversity, management and (2018).
Petermann, J. S. & Buzhdygan, O. Y. Grassland biodiversity. Curr. Biol. 31, R1195–R1201 (2021).
Cherlet, M. et al. World atlas of desertification. Publication office of the European union. Luxembourg [Google Scholar] (2018).
Maestre, F. T. et al. Biogeography of global drylands. New Phytol. 231, 540–558 (2021).
Ruppert, J. C. et al. Meta-analysis of ANPP and rain‐use efficiency confirms indicative value for degradation and supports non‐linear response along precipitation gradients in drylands. J. Veg. Sci. 23, 1035–1050 (2012).
Schwieger, D. A. M. et al. Understanding rangeland desertification at the village level: A comparative study with a Social-Ecological systems perspective in Namibia. Human Ecol., 1–20 (2025).
Lal, R. Carbon sequestration in dryland ecosystems. Environ. Manage. 33, 528–544 (2004).
Sandhage-Hofmann, A., Linstädter, A., Kindermann, L., Angombe, S. & Amelung, W. Conservation with elevated elephant densities sequesters carbon in soils despite losses of Woody biomass. Glob. Change Biol. 27, 4601–4614 (2021).
Wang, L. & Collins, S. L. The complex relationship between precipitation and productivity in drylands. Camb. Prisms: Drylands. 1, e1 (2024).
Fay, P. A. et al. Grassland productivity limited by multiple nutrients. Nat. Plants. 1, 1–5 (2015).
Ågren, G. I., Wetterstedt, J. M. & Billberger, M. F. Nutrient limitation on terrestrial plant growth–modeling the interaction between nitrogen and phosphorus. New Phytol. 194, 953–960 (2012).
Bracken, M. E. et al. Signatures of nutrient limitation and co-limitation: responses of autotroph internal nutrient concentrations to nitrogen and phosphorus additions. Oikos 124, 113–121 (2015).
Craine, J. M., Morrow, C. & Stock, W. D. Nutrient concentration ratios and co-limitation in South African grasslands. New Phytol. 179, 829–836 (2008).
Harpole, W. S. et al. Nutrient co-limitation of primary producer communities. Ecol. Lett. 14, 852–862 (2011).
Wragg, P. D. Multiple nutrients control threatened grassland vegetation in Eastern South Africa. South. Afr. J. Bot. 112, 225–236 (2017).
Han, Y. et al. Global and regional Estimation of net anthropogenic nitrogen inputs (NANI). Geoderma 361, 114066 (2020).
Erisman, J. W., Sutton, M. A., Galloway, J., Klimont, Z. & Winiwarter, W. How a century of ammonia synthesis changed the world. Nat. Geosci. 1, 636–639 (2008).
Norby, R. J. Nitrogen deposition: a component of global change analyses. New Phytol. 139, 189–200 (1998).
Wang, X. et al. Urea fertilization increased CO2 and CH4 emissions by enhancing C-cycling genes in semi-arid grasslands. J. Environ. Manage. 356, 120718 (2024).
Parfitt, R. L. et al. Effect of fertilizer, herbicide and grazing management of pastures on plant and soil communities. Appl. Soil. Ecol. 45, 175–186 (2010).
Ruppert, J. C. et al. Quantifying drylands’ drought resistance and recovery: the importance of drought intensity, dominant life history and grazing regime. Glob. Change Biol. 21, 1258–1270 (2015).
Munjonji, L. et al. Disentangling drought and grazing effects on soil carbon stocks and CO2 fluxes in a Semi-Arid African savanna. Front. Environ. Sci. 8 https://doi.org/10.3389/fenvs.2020.590665 (2020).
Lindberg, N., Engtsson, J. B. & Persson, T. Effects of experimental irrigation and drought on the composition and diversity of soil fauna in a coniferous stand. Journal Appl. Ecol., 924–936 (2002).
Müller, L. M. & Bahn, M. Drought legacies and ecosystem responses to subsequent drought. Glob. Change Biol. 28, 5086–5103 (2022).
Sitters, J. et al. Nutrient availability controls the impact of mammalian herbivores on soil carbon and nitrogen pools in grasslands. Glob. Change Biol. 26, 2060–2071 (2020).
da Silva, A. P., Imhoff, S. & Corsi, M. Evaluation of soil compaction in an irrigated short-duration grazing system. Soil Tillage. Res. 70, 83–90. https://doi.org/10.1016/S0167-1987(02)00122-8 (2003).
Borer, E. T. & Stevens, C. J. Nitrogen deposition and climate: an integrated synthesis. Trends Ecol. Evol. 37, 541–552 (2022).
Peng, Y. et al. Responses of soil fauna communities to the individual and combined effects of multiple global change factors. Ecol. Lett. 25, 1961–1973 (2022).
Siebert, J. et al. The effects of drought and nutrient addition on soil organisms vary across taxonomic groups, but are constant across seasons. Sci. Rep. 9, 639 (2019).
Meason, D. F. & Idol, T. W. Nutrient sorption dynamics of resin membranes and resin bags in a tropical forest. Soil Sci. Soc. Am. J. 72, 1806–1814 (2008).
Sulewski, C., Greer, K., Schoenau, J. & Baron, V. In Soils and Crops Workshop.
Duan, D. et al. Drought neutralizes positive effects of long-term grazing on grassland productivity through altering plant–soil interactions. Funct. Ecol. 37, 1827–1840 (2023).
Birkhofer, K., Baulechner, D., Diekötter, T., Zaitsev, A. & Wolters, V. Fertilization rapidly alters the feeding activity of grassland soil mesofauna independent of management history. Front. Ecol. Evol. 10, 864470 (2022).
da Silva, P. M. et al. More frequent droughts slow down litter decomposition across European agroecosystems and increase the importance of earthworm functional diversity. Appl. Soil. Ecol. 153, 103628. https://doi.org/10.1016/j.apsoil.2020.103628 (2020).
Gavín-Centol, M. P. et al. Severe drought and conventional farming affect detritivore feeding activity and its vertical distribution. Basic Appl. Ecol. 69, 49–59. https://doi.org/10.1016/j.baae.2023.03.006 (2023).
Moyano, F. E., Manzoni, S. & Chenu, C. Responses of soil heterotrophic respiration to moisture availability: an exploration of processes and models. Soil Biol. Biochem. 59, 72–85. https://doi.org/10.1016/j.soilbio.2013.01.002 (2013).
Sanaullah, M., Rumpel, C., Charrier, X. & Chabbi, A. How does drought stress influence the decomposition of plant litter with contrasting quality in a grassland ecosystem? Plant. Soil. 352, 277–288. https://doi.org/10.1007/s11104-011-0995-4 (2012).
Kröel-Dulay, G. et al. Field experiments underestimate aboveground biomass response to drought. Nat. Ecol. Evol. 6, 540–545. https://doi.org/10.1038/s41559-022-01685-3 (2022).
Coyle, D. R. 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. 110, 116–133. https://doi.org/10.1016/j.soilbio.2017.03.008 (2017).
Yin, R. et al. Climate change does not alter land-use effects on soil fauna communities. Appl. Soil. Ecol. 140, 1–10. https://doi.org/10.1016/j.apsoil.2019.03.026 (2019). https://doi.org/.
Janion-Scheepers, C. et al. Soil biota in a megadiverse country: current knowledge and future research directions in South Africa. Pedobiologia 59, 129–174 (2016).
Hamel, C., Schellenberg, M. P., Hanson, K. & Wang, H. Evaluation of the bait-lamina test to assess soil microfauna feeding activity in mixed grassland. Appl. Soil. Ecol. 36, 199–204 (2007).
Filzek, P. D. et al. Metal effects on soil invertebrate feeding: measurements using the bait lamina method. Ecotoxicology 13, 807–816 (2004).
Sitters, J. & Olde Venterink, H. Stoichiometric impact of herbivore Dung versus urine on soils and plants. Plant. Soil. 462, 59–65. https://doi.org/10.1007/s11104-021-04960-7 (2021).
Bilotta, G., Brazier, R. & Haygarth, P. The impacts of grazing animals on the quality of soils, vegetation, and surface waters in intensively managed grasslands. Adv. Agron. 94, 237–280 (2007).
Li, W. et al. Effects of grazing regime on vegetation structure, productivity, soil quality, carbon and nitrogen storage of alpine meadow on the Qinghai-Tibetan plateau. Ecol. Eng. 98, 123–133. https://doi.org/10.1016/j.ecoleng.2016.10.026 (2017).
Wei, Y. et al. Transformation of litter carbon to stable soil organic matter is facilitated by ungulate trampling. Geoderma 385, 114828. https://doi.org/10.1016/j.geoderma.2020.114828 (2021). https://doi.org/https://doi.org/
Wilson, C. H., Strickland, M. S., Hutchings, J. A., Bianchi, T. S. & Flory, S. L. Grazing enhances belowground carbon allocation, microbial biomass, and soil carbon in a subtropical grassland. Glob. Change Biol. 24, 2997–3009 (2018).
Thakur, M. P. et al. Reduced feeding activity of soil detritivores under warmer and drier conditions. Nat. Clim. Change. 8, 75–78. https://doi.org/10.1038/s41558-017-0032-6 (2018).
Carrillo, Y., Ball, B. A., Bradford, M. A., Jordan, C. F. & Molina, M. Soil fauna alter the effects of litter composition on nitrogen cycling in a mineral soil. Soil Biol. Biochem. 43, 1440–1449. https://doi.org/10.1016/j.soilbio.2011.03.011 (2011).
Huhta, V. The role of soil fauna in ecosystems: A historical review. Pedobiologia 50, 489–495. https://doi.org/10.1016/j.pedobi.2006.08.006 (2007). https://doi.org/https://
Sardans, J., Peñuelas, J. & Ogaya, R. Drought’s impact on ca, fe, mg, mo and S concentration and accumulation patterns in the plants and soil of a mediterranean evergreen Quercus ilex forest. Biogeochemistry 87, 49–69. https://doi.org/10.1007/s10533-007-9167-2 (2008).
Marschner, P. & Rengel, Z. in Marschner’s mineral nutrition of higher plants315–330 (Elsevier, 2012).
Rutkowska, B., Szulc, W., Sosulski, T. & Stępień, W. Soil micronutrient availability to crops affected by long-term inorganic and organic fertilizer applications. Plant. Soil. Environ. 60, 198–203 (2014).
Li, B. et al. Soil micronutrient availability to crops as affected by long-term inorganic and organic fertilizer applications. Soil Tillage. Res. 96, 166–173 (2007).
Tong, D. & Xu, R. Effects of Urea and (NH4)2SO4 on nitrification and acidification of ultisols from Southern China. J. Environ. Sci. 24, 682–689. https://doi.org/10.1016/S1001-0742(11)60832-2 (2012).
Carbonell, V., Merbold, L., Díaz-Pinés, E., Dowling, T. P. & Butterbach‐Bahl, K. Nitrogen cycling in pastoral livestock systems in Sub‐Saharan africa: knowns and unknowns. Ecol. Appl. 31, e02368 (2021).
Bolan, N. S., Saggar, S., Luo, J., Bhandral, R. & Singh, J. In Advances in Agronomy Vol. 84 37–120 (Academic Press, 2004).
Linstädter, A. et al. Are there consistent grazing indicators in drylands? Testing plant functional types of various complexity in South africa’s grassland and savanna biomes. PLoS One. 9, e104672 (2014).
Zimmer, K., Amputu, V., Schwarz, L. M., Linstädter, A. & Sandhage-Hofmann, A. Soil characteristics within vegetation patches are sensitive indicators of savanna rangeland degradation in central Namibia. Geoderma Reg. 36, e00771 (2024).
Kottek, M., Grieser, J., Beck, C., Rudolf, B. & Rubel, F. World map of the Köppen-Geiger climate classification updated. Meteorol. Z. 15, 259–263 (2006).
Benhin, J. K. Climate change and South African agriculture: Impacts and adaptation options. Pretoria: The Centre for Environmental Economics and Policy in Africa, University of Pretoria (2006).
WRB. World Reference Base for Soil Resources 2014. International soil classification system for naming soils and creating legends for soil maps. World Soil. Resour. Rep. (2014).
Dlamini, P., Mbanjwa, V., Gxasheka, M., Tyasi, L. & Sekhohola-Dlamini, L. Chemical stabilisation of carbon stocks by polyvalent cations in plinthic soil of a shrub-encroached savanna grassland, South Africa. CATENA 181, 104088. https://doi.org/10.1016/j.catena.2019.104088 (2019).
Carlyle, C. N., Fraser, L. H. & Turkington, R. Response of grassland biomass production to simulated climate change and clipping along an elevation gradient. Oecologia 174, 1065–1073 (2014).
Kratz, W. The bait-lamina test. Environ. Sci. Pollut. Res. 5, 94–96. https://doi.org/10.1007/BF02986394 (1998).
Brown, R. F. & Collins, S. L. Revisiting the bucket model: Long-term effects of rainfall variability and nitrogen enrichment on net primary production in a desert grassland. J. Ecol. 112, 629–641 (2024).
Christensen, R. H. B. (2023).
Kuznetsova, A., Brockhoff, P. B. & Christensen, R. H. LmerTest package: tests in linear mixed effects models. J. Stat. Softw. 82, 1–26 (2017).
Team, R. C. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/ (2016).
Acknowledgements
Jan C. Ruppert and Edwin I. Mudongo are acknowledged for their role in setting up the DroughtAct experiment. We thank the managers of Syferkuil Experimental Farm and the University of Limpopo security service for the maintenance and security of the DroughtAct experiment. We also acknowledge support with data collection and laboratory analyses from multiple student assistants from the University of Limpopo (RSA), as well as the Universities of Cologne and Bonn (Germany).
Funding
This study was mainly funded by the BMBF (German Federal Ministry of Education and Research) through the “Limpopo Living Landscapes” project (grant 01LL1304D) and the “SALLnet” project (grant 01LL1802C). Student bursary was also supported by the South African National Research Foundation and by the German Academic Exchange Service (DAAD). UN acknowledges support by the Australian Research Council (DP190101968), and AL acknowledges support by the NamTip project within the BioTip and GlobalTip funding lines (FKZ 01LC1821A and 01LC2321A).
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design, led by A Linstädter and K Behn. Funding acquisition: A Linstädter and KK Ayisi; data collection: K Behn and VM Mokoka; data analysis: L Munjonji, K Behn, and UN Nielsen. The first draft of the manuscript was written by L Munjonji, and all authors commented on subsequent versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare 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-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.
About this article
Cite this article
Munjonji, L., Behn, K., Vincent, M. et al. Drought, grazing, and nitrogen input influence nutrient supply and soil faunal activity in a semi-arid savannah grassland. Sci Rep 15, 34248 (2025). https://doi.org/10.1038/s41598-025-16281-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-025-16281-1