The bibliography for this study was completed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) procedure (Karimi et al., 2021). A global study was conducted using Scopus databases between 2000 and 2023, focused on articles primarily from the “Agricultural and Biological Sciences” category in Scopus, which encompasses a large portion of the literature relevant to the topic at hand. In this sense, four processes comprised the comprehensive search, which included publications based on PRISMA guidelines: identification, screening, eligibility, and selection of articles. For searching, the keywords used were: “Mining Rehabilitation,” “Phosphogypsum,” “Phosphate Sludge,” “Sewage Sludge.”

In bibliometrics, science mapping is a method used to create a visual depiction of network structures. Science mapping is an emerging field that combines scientometrics and information metrology. It encompasses the interdisciplinary areas of applied mathematics, information science, and computer science (Apori et al., 2022). In the past few decades, numerous researchers have employed a variety of scientific mapping approaches to analyze the possible dynamic mechanism of discipline change (Smyrnova-Trybulska et al., 2018; Vagelas and Leontopoulos, 2023). Because of their power and complementarity, CiteSpace and VOSviewer are the two tools for scientific mapping analysis. CiteSpace (https://sourceforge.net/projects/citespace, accessed on 11 June 2024) is a Java-based application software that was proposed by Professor Chen of Drexel University in 2004 (Apori et al., 2022). It uses the theory of co-citation analysis and the pathfinder algorithm, minimum spanning trees, to perform a quantitative analysis of literature in specific fields. This method is used to analyze and visualize trends and emerging patterns in scientific publications’ knowledge (Smyrnova-Trybulska et al., 2018). It provides unique advantages in literature, such as keyword analysis, cluster analysis, subject words, and author information. In addition, the software tool for literature analysis and knowledge visualization developed by van Eck and Waltman is VOSviewer (https://www.vosviewer.com/, accessed on June 11 June 2024) (Van Eck, 2011). It is capable of creating and visualizing keyword co-occurrence networks across a variety of fields. VOSviewer software has advantages over other visualization tools in terms of processing massive data and creating graphics, allowing it to more clearly depict hot spots and study subjects (Vagelas and Leontopoulos, 2023).

The articles underwent a thorough screening process in order to meet a number of inclusion requirements, including: 1) availability of full-text articles; 2) publication of articles in the English language; 3) The number of study sites sampled and the study site’s size were stated. 4) The investigations were either descriptive or cross-sectional in nature; 5) The research solely focused on mining, damaged soils, or agriculture; 6) We displayed the types of by-product sources, including phosphate sludge (PS), sewage sludge (SS), and phosphogypsum (PG), and their individual or combined utilization; 7) We displayed the physico-chemical parameter values (pH, organic matter, and conductivity) from PG, PS, and SS; 8) We explicitly indicated the nutrient and heavy metal values (mean value and standard deviation value) in PG, PS, and SS. We also applied the following exclusion criteria to the articles. We excluded: 1) books and review articles; 2) articles that presented figures of low quality; 3) not using English language; 4) no relevant outcomes. Lastly, we extracted the parameters of the heavy metal contents (As, Pb, Ni, Al, Cd, Cr, Cu, Zn, and Fe) and nutrients (N, P, K, Ca, and Mg) from PG, PS, and SS. We used the GetData Graph Digitizer (Version 2.22) (http://getdata-graph-digitizer.com) to extract the data for articles that contained graphical results.

An extensive analysis was conducted to increase the sample size and enhance the reliability of the findings. This was achieved by combining the results from various studies, focusing on the nutrient and heavy metal contents in PG, PS, and SS, using the mean and standard error (SE) measurements (Equation 1).

The SE was determined using the following Equation 1: S E = S D N (1)

SD represents the standard deviation, while N denotes the sample size.

This study collected and managed data using Microsoft Office 2016. The correlation study was performed using Metawin 3, and the graphs were created with SigmaPlot (version 14.5). A categorical meta-analysis was performed to reduce data heterogeneity and clarify the impacts of PG, PS, and SS treatments on nutrient and physicochemical parameter changes. The impacts of PG, PS, and SS applications on changes in nutrient and physicochemical parameters were evaluated using the “effect size” among the several subgroups (pH, EC, OM, N, P, K, Ca, and Mg). The effect size (Equation 2) of the various by-products was estimated using a natural logarithm of the response ratio (R = Xt/Xc) (Bohoussou et al., 2022). ln ⁡ R = lnXt  –  lnXc (2)

Where Xt and Xc represent the average values of PG, PS, and SS of the treatment (t) and control group (c) respectively.

The values were subsequently transformed into percentages by multiplying them by (R-1) and then multiplying the result by 100 (Bohoussou et al., 2023). Positive numbers imply a gain in physico-chemical qualities such as pH, electrical conductivity (EC), organic matter (OM), nutrients, and heavy metals relative to the baseline values. Conversely, negative values indicate a reduction. Bootstrapping procedures within the ‘boot’ package were used to generate 95% confidence intervals for weighted mean effect sizes using 4.999 iterations. Statistical significance was determined using 95% confidence intervals (CI), and if the value of the 95% CI overlapped with 0, it was considered nonsignificant.

Up until 1 February 2020, searches from Scopus in the “Agricultural and Biological Sciences” field area were conducted as part of the research selection procedure. 2,864 articles were found at first. Then, we eliminated 2,524, 74, 61, and 141 papers because they were duplicates or ineligible by automation tools, abstract, or complete text, books and review, figures of low quality, not using English language. Ultimately, 50 publications were determined to be suitable research for this review’s inclusion. In accordance with Cochrane procedures, the selection procedure for the examined studies is depicted in Figure 1.

A research hotspot is a network of links formed by researchers concentrating on a certain set of research problems or subjects for a predetermined amount of time. This drastically increases the number of publications in related literature. Keywords in an article serve to concisely define, extract, and summarize the main idea, as well as visually represent the direction and significance of the study findings, which are the article’s essential components (Apori et al., 2022).

In this study, we created a knowledge graph by visually analyzing the keywords in the published literature on the research topic using the VOSviewer software. A circular node represents each term, with its greater area and longer diameter indicating a higher frequency of the term in the study domain. The association curves that connect the circular nodes represent the terms’ co-occurrence. Furthermore, to differentiate between node clusters, VOSviewer uses a knowledge graph with distinct colors, each of which represents a distinct cluster.

The keyword co-occurrence map (Figure 2) clearly shows that “Sewage Sludge,” located in the middle of the image, is the focus of the keyword knowledge map for the entire topic area. Circular nodes of various diameters radiate outward from the center, encircling it. With “sewage sludge” (1052), “heavy metals” (392), “compost” (159), “biosolid” (153), and “soil” (119) reflecting the total link strength, we set the threshold value to 276 in order to clearly display the high-frequency keywords. The grouping of keywords in various hues inside the graph indicates that these high-frequency words function as a type of binding hub. These high-frequency words, which combine a variety of low-frequency phrases, have been a prominent frontier study issue in the discipline for the past 20 years.

We use the VOSviewer program’s special clustering density view function to further demonstrate the keyword clustering findings in order to more quickly, intuitively, and clearly identify and distill popular study topics in the field from the densely connected nodes and linkages (Figure 3). In the clustering density view, we can see the highlighted focal section very clearly, and the density of each node varies depending on the high and low frequency of the keywords that surround it. Both the number of nodes and the weights of the scattered nodes around each node directly influence the density of the nodes. The color of the nodes is closer to yellow (i.e., the darker the color) as the density of nodes in the center increases, indicating a higher research intensity for the topic and the key area of research. On the other hand, as the density of nodes on the edge decreases, the color becomes closer to blue, indicating that the research topic is not particularly popular. Consequently, the shift from the yellow area in the center to the blue area at the edge is indicative of the evolution in the research topic’s popularity. Based on the density clustering results in Figure 3, we extracted four frontier trending topics in the current research field (Table 1). We then analyze and discuss the research content and significant findings for each topic.

The utilization of different by-products resulted in significant variations (P < 0.05) in electrical conductivity (EC), organic matter (OM), and pH (Figure 4). Across all experiments, we discovered a positive EC effect on SS (56.36% increase), PS (285.74% increase), and PG (224.18% increase) applications. PS produced the most sensitive EC response when compared to SS and PG. The application of SS elevated pH by 46.15% when compared to the control. However, PS and PG are not relevant because they intersect with zero (the red line). Furthermore, our meta-analysis revealed that both SS (103.70%) and PG (87.88%) treatments resulted in significant increases in OM. This revealed that SS and PG applications was the most effective way to improve OM.

Variations in the soil EC value can be used to infer changes in the amount of soluble salt in the soil because the two quantities are directly proportional (Chi et al., 2012; Alam et al., 2020; Guéablé et al., 2022b). Applying PS causes the soil’s EC value to rise noticeably, which helps to explain this most sensitive response. Baiz et al. (2021) speculate that the elevated calcium and potassium content of PS may be the cause of the EC increase.

Soil pH is a key indicator of soil characteristic with a major influence on soil fertility (Neina, 2019). This pH value is higher than the increases in pH following the application of amendments found in another meta-analysis. Indeed, the addition of lime, biochar, by-products (phosphogypsum and caustic sludge), manure, straw, and a combination of amendments improved the pH of the soil by 15%, 12%, 15%, 13%, and 17%, respectively (Zhang et al., 2023). According to Balduíno et al. (2019), applying SS to the mined area increased substrate fertility by changing pH. Due to this modification, the research area’s edaphic environment is chemically different from the original soil. Zanuzzi et al. (2009) found that a single application of industrial waste such as SS caused a pH rise in mine soils. This mining site played a crucial role in extracting valuable mineral ores like sphalerite, galena, and pyrite. This is supported by the study conducted by Żukowska et al. (2023) which demonstrated that the use of SS as a substrate led to notable enhancements in soil properties. Applying SS can help by neutralizing the strong acidity or alkalinity, which can reduce the potential toxicity of heavy metals (Zanuzzi et al., 2013; Bolaños-Guerrón et al., 2021).

In addition, organic matter (OM) has been found to enhance the soil’s ability to retain nutrients and water, creating a favorable environment for plant growth and microbial activity (Zanuzzi et al., 2009). Our findings align with the meta-analysis conducted by Zhang et al. (2023). Soil OM showed a positive response to the application of biochar (50%), by-product (12%), manure (26%), straw (26%) and combined materials (40%). Many previous studies expressed increased organic matter concentration with increased amounts of SS (Wu et al., 2013; Luna et al., 2016; Khan et al., 2023). Nevertheless, the OM present in the mixture with PG originates from the addition of organic matter as a soil enhancer and fertilizer. Therefore, the studies conducted by, Guéablé et al. (2021) and Mahmoud et al. (2021) demonstrated that using SS along with PG greatly increased the amount of organic matter in the soil and was an important part of restoring land that had been damaged.

We have distinguished between macronutrients (N, P, K) (Figure 5) and secondary nutrients (Ca, Mg) (Figure 6). We observed a positive effect on P and K, regardless of the by-product. The most reliable effects were observed on SS (205.22%) and PG (113.28%), with a positive effect on P and K respectively. Additionally, we observed a general positive effect of N on SS and PG, and a non-significant effect of N on PS (Figure 5). While by-products altered the soil’s nutrient composition, PS and PG did not significantly alter P levels. By addition of PG, Ca increased significantly by 36.12%. Additionally, SS significantly increased Mg by 161.52% compared to PG (Figure 6).

The sludge application enhanced the soil’s total N, P, and Ca concentrations, as well as its pH. Rao et al (2001) also found that that all organic additions improved nitrogen, phosphorus, potassium, and magnesium contents. The most significant enhancement was achieved with SS. Utilizing SS is a viable approach to swiftly enhance soil fertility by introducing organic matter, nitrogen, and phosphorus (Moreno-Barriga et al., 2017). In their work, Cox and Whelan (2000) reforested an industrial site using an anthroposol that included SS and a combination of industrial wastes. Their investigation indicated that significant levels of N and P remained after 11 years, demonstrating the possibility for nutrient cycling. Furthermore, according to Czekala (1999) studies, one ton of SS contains an average of 543 kg of OM, 32 kg of N, and 16.6 kg of P. Kelly (2006) found that SS had similar characteristics to topsoil, concluding that SS can be a potential substitute for topsoil.

With over 92% calcium sulphate, PG is an excellent calcium (Ca) source; it is a by-product of the wet acid synthesis of phosphoric acid from rock phosphate (Bossolani et al., 2022). According to Takasu et al. (2006), found that using PG instead of Ca is a valuable fertilization method. The addition of PG greatly enhances the soil’s chemical and physical properties due to its high P, Ca, and S contents (Nayak et al., 2011; Mahmoud et al., 2021). Al-Enazy et al. (2018) pointed out PG application increased soil available P. However, no significant effect was observed on soil available K. The nutrient-rich nature of PG has led to an interest in using it both in agriculture and for rehabilitating degraded land or mining sites, rather than disposing of it in tailings ponds or heaps (Singh et al., 2018; Provenzano et al., 2020).

Although by-products change the soil’s nutrient contents, PS and PG do not significantly alter the P content. Our research showed that PG and PS did not significantly enhance the P content. This could be linked to the PS or PG method or the phosphate rock content used in the studies we selected for our work.

By-products (SS and PG) decreased the average concentrations of heavy metals in soil, as shown in Figure 7. The mean Cd, Pb, and Ni concentrations in SS significantly reduced by 30.46%, 30.70%, and 18.07%, respectively, across all investigations. Additionally, there was a considerable decrease in the mean amounts of Cd, Pb, and Cu in PG, with 47.71%, 36.14%, and 46.01%, respectively. However, we could not find any information on Cd, Pb, Cu, and Ni for PS, nor on Ni for PG. Metal pollution is a major concern due to its potential environmental effects (Li et al., 2019; Iyyappan et al., 2023). Heavy metals such as Pb, Zn, Cu, Cd, and Ni pose significant environmental hazards due to their indestructibility and hazardous effects on living creatures when their concentrations exceed a specific threshold (Mahmoud and Abd El-Kader, 2015; Guéablé et al., 2022a). The reductions in soil heavy metals were mostly attributable to their immobilization onto PG or SS particles, in addition to their indirect impacts on soil characteristics. This was the primary reason for the observations. There have been multiple investigations that have demonstrated that the by-products have a considerable impact on the levels of heavy metals that are present in the soil (Smaoui-Jardak et al., 2017; Turkyilmaz et al., 2020). There are several mechanisms that are responsible for the immobilization of heavy metals by by-products. These mechanisms include adsorption (Violante et al., 2010), ion exchange (Ding et al., 2017), complexation (Wijesekara et al., 2016), and precipitation processes (Guerrero et al., 2021). Nayak et al. (2013) reported that using PG as an amendment can dilute heavy metals. Additionally, the accumulation of heavy metals in the soil during site remediation is influenced by various physico-chemical parameters (Al-Lami et al., 2022; Qian et al., 2023). The current meta-analysis’s findings showed that adding SS and/or PG significantly raised soil pH, EC, OM, and nutrient levels, all of which are beneficial for reducing heavy metals pollution.

The solubility of large amounts of heavy metals is decreased when the pH of the environment is raised, as shown by Zanuzzi et al. (2009). An increase in pH causes a decrease in the solubility of contaminants in soil, including cadmium, copper, nickel, and zinc (Illera et al., 2004; Gosh and Singh, 2005). In addition, in dry regions, carbonate plays a crucial role in trapping heavy metals by creating a surface for adsorption or nucleation. It also helps maintain a stable pH level, which promotes the hydrolysis and precipitation of metals (Almendro-Candel et al., 2007). In a study conducted by Mahmoud and Abd El-Kader. (2015), it was found that the presence of PG in soil treatment leads to the formation of surface metal-complexes, which helps immobilize heavy metals. These complexes can be formed when the metal interacts with the surface sites of oxides found in the PG, such as Ca-OH, Fe-OH, Al-OH, and Si-OH. Furthermore, PG includes phosphate rocks that help to immobilize soil Pb by causing the formation of pyromorphite minerals (Mahmoud and El-Kader, 2013). One of the most important buffering mechanisms that governs lead movement and fixation in water, soils, and by-products is the interaction between lead and phosphorus, which occurs through the production of pyromorphite. Additionally, it decreases the bioavailability and solubility of lead (Mahmoud and El-Kader, 2013; Wijesekara et al., 2016). It is possible to use immobilization of inorganic contaminants as a restorative approach for soils that are contaminated with heavy metals (Li et al., 2022). According to Zanuzzi et al. (2013), SS is also capable of successfully reducing heavy metals through different mechanisms, including chelation, complexation, and adsorption between metals, and applied organic matter. It has been demonstrated through research carried out by Guéablé et al. (2021) that a mixture consisting of 65% PG, 30% PS, and 5% SS has the potential to facilitate the successful immobilization of heavy metals through the mine rehabilitation process. The conclusion that can be drawn from this finding is that the incorporation of by-products such as PG into SS has the potential to limit the solubility of heavy metals through the formation of complicated reactions. The use of by-products and their combinations must be beneficial to the soils or substrates with which they are mixed.

Meanwhile, in a study conducted by Liang et al. (2012), it was discovered that the effectiveness of immobilizing Cd, Zn, and Pb was 100%, 85.7%, and 62.2%, respectively, when 5% red mud was combined with SS. Moreover, the immobilization efficiencies of Cd, Zn, and Pb were found to be 100%, 92%, and 82%, respectively, when there was a combination of 10% red mud with SS. These by-products should contribute to the rehabilitation of soils or mines by representing no source of contamination.

Phosphogypsum (PG), a by-product of the phosphate fertilizer industry, includes naturally occurring radioactive materials (NORM), such as uranium (U), thorium (Th), and radium (Ra), which may pose environmental and health risks (Hamza et al., 2019; Akfas et al., 2024). The presence of radium-226 is concerning due to its extended half-life and its capacity to emit radon gas, a recognized carcinogen. Application of PG to soils for land rehabilitation may result in radon emissions into the atmosphere, thereby increasing the risk of lung cancer with extended exposure (Al-Hwaiti et al., 2010). Furthermore, PG may bring additional radionuclides into the soil, potentially impacting plant development and the food chain (Chakraborty et al., 2013). The radioactive characteristics must be meticulously evaluated when considering the application of PG for soil rehabilitation, as they pose significant safety and environmental challenges necessitating comprehensive assessment and mitigating strategies.

The rehabilitation of degraded land in general, and of mines in particular, requires a global consideration of the efficiency of the by-products to be used. Previous studies have similarly reported that SS, PS, and PG applications can significantly improve physico-chemical properties parameters of soils (Peregrina Alonso et al., 2006; Adusei-Gyamfi et al., 2019; Guéablé et al., 2022b). In order to address the degradation of arid and semi-arid areas that experience high erosion rates, it is crucial to establish a robust vegetation cover and restore the mining soil (Guéablé et al., 2022b). Plants in arid and semi-arid environments experience severe water stress as a result of the minimal rainfall that occurs in these regions (Outbakat et al., 2022). Usually, the species that are utilized are seedlings or greenhouse plants, both of which are susceptible to posttransplant shock upon sowing, which can be attributed to either inadequate moisture or inadequate nutrients (Peregrina Alonso et al., 2006; Bateman et al., 2021). It is thus vital to use plant species that are adapted to the water stress, nutrients available in the restored region, and the site’s climatology, as they have acquired morphological and physiological adaptations that allow them to live and flourish in challenging conditions (Alvarenga et al., 2018). For the purpose of preserving the ecological equilibrium, it is of interest to make use of species that are often found in the area that is going to be rehabilitated.

Furthermore, these plants serve as the foundation for organic ecological transition by adapting to climate and soil circumstances (Grandlic et al., 2008). Compared to plants imported from other ecosystems, they have higher chances of surviving, growing, and reproducing under stressful environmental conditions (Hindersah et al., 2018). Having a seed bank of species to exploit, or in the absence of one, preparing one using plants from the nearby environment under conditions similar to those originally present on the mine site, is a crucial and basic strategy in all mining operations. This will allow for the utilization of local species, which will increase the likelihood of effective revegetation. From the perspective of the soil and landscape, the advantages of revegetation are crucial (Yang et al., 2014). According to Feng et al. (2020) plants boost water penetration, decrease water erosion by catching rainwater, and encourage soil regeneration. Because there are more nutrients available when organic matter is used as a restoration approach by adding SS, plants develop more quickly (Moreno-Barriga et al., 2017). Therefore, the right mix of by-products and revegetation promotes plant development and, eventually, the restoration of the rehabilitated area’s landscape (Peñaranda Barba et al., 2020). By-product application did, in fact, result in more vegetation, which is important for land rehabilitation since vegetation enhances soil organic matter, stabilizes soil structure, reduces erosion, and minimizes it (Guéablé et al., 2022b; Guerrero et al., 2021).

Furthermore, establishing and supporting of vigorous plant growth requires irrigation in most climates. Thus, plant selection is an essential element and must be consistent with the site’s climate. Moreover, irrigation is required at the beginning of a vegetation project to support plant growth. It is typically supplied through drip irrigation systems (Scanlon et al., 2005; Venkatraman and Ashwath, 2010). Abandoned mines face further problems, as in most cases, they are located in very remote areas and may not have a local water supply. As observed at the webbs consols and mole river sites in Australia, the water associated with the site is often contaminated by a range of metal contaminants, high acidity, and high salinity (Bolan et al., 2017). In order to successfully revegetate damaged land, rehabilitation techniques must strike a compromise between immediate goals like soil stabilization and erosion management and long-term goals like boosting native biodiversity or growing woody vegetation. The unfavourable environmental conditions that frequently impede establishment can be lessened via site preparation and sowing (Wong, 2003; Li, 2006; Baethke et al., 2020; Kragt et al., 2019). Furthermore, higher nitrogen and phosphate availability may be the cause of the increased cover on seeded locations where biosolids have been applied (Meyer et al., 2009). When revegetating severely disturbed landscapes, agronomic species are often utilized to generate rapid cover by quickly utilizing available nutrients (Baethke et al., 2020). It will be crucial to choose plant species that can compete in this nutrient-rich environment when creating an anthroposol because there is currently little research on the application of species combinations in the rehabilitation of degraded land or former mines (Galfati et al., 2011; Santos et al., 2019). According to Kelly (2006), the by-products and their combinations must improve the spoil or current soil in order to promote revegetation without contaminating the soil. Thus, by-products should be characterized by:

- Rich in macronutrients (NPK) with certain trace elements such as Cu, Zn, and Mg.

For the purpose of revegetating an industrial site, Cox and Whelan (2000) developed an artificial soil combination that was prepared by combining SS and waste from industrial processes. The results of this study demonstrated that the soil underwent development over both the short and long term, with the first year exhibiting the most rapid alterations. Following 11 years, the nutrient cycling potential revealed significant levels of nitrogen and phosphorus, together with an abundance of organic carbon for the decomposition of microorganisms.