Geoderma Regional最新文献

{"title":"Oxalate-extractable aluminium is a key predictor of organic carbon content in Swedish agricultural topsoils","authors":"Miyanda Chilipamushi ,&nbsp;Claudia von Brömssen ,&nbsp;Tino Colombi ,&nbsp;Thomas Kätterer ,&nbsp;Mats Larsbo","doi":"10.1016/j.geodrs.2025.e01038","DOIUrl":"10.1016/j.geodrs.2025.e01038","url":null,"abstract":"<div><div>Previous research has shown the importance of oxalate-extractable aluminium (Alox) for predicting soil organic carbon (SOC) contents across diverse geographical regions. However, studies using data from humid continental climates are scarce, and the data used in these studies have not been statistically representative for larger scales. Our study aimed to 1) evaluate the influence of soil physical and geochemical properties (specifically Alox), farm management, and climate on the spatial distribution and storage potential of SOC in Swedish agricultural soils and 2) to assess whether estimates of aggregation, assumed to influence the protection of soil organic matter, could improve predictions. We analyzed a statistically representative subset of mineral soils with pH &lt; 7 from the Swedish soil and crop monitoring program, which covers the country's agricultural land. We identified the most important predictors for topsoil SOC contents using a random forest model. We employed partial dependence plots to visualize and interpret the interactions between key variables and SOC contents. Results showed that Alox was the most important predictor for SOC contents, as evidenced by its high relative importance score and the increased out-of-bag error when removed from the model. Notably, SOC content reached a plateau at Alox contents of about 3.5 g kg⁻¹, suggesting the possibility of SOC under-saturation. Climatic variables were of secondary importance, while farm management did not emerge as a significant predictor. Surprisingly, silt-sized aggregation was not identified as an important variable for predicting SOC content. Our findings emphasize the importance of incorporating geochemical properties, particularly Alox, in addition to soil texture, in predictive modelling and monitoring efforts for enhanced soil carbon management in humid climates.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01038"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of soil physicochemical properties on plant-parasitic nematode assemblages in contrasting agricultural soils","authors":"Nagarathnam Thiruchchelvan ,&nbsp;Manjula Kularathna ,&nbsp;Romy Moukarzel ,&nbsp;Leo Condron ,&nbsp;Seona Casonato","doi":"10.1016/j.geodrs.2026.e01056","DOIUrl":"10.1016/j.geodrs.2026.e01056","url":null,"abstract":"<div><div>This study investigates the spatial variation of plant-parasitic nematode (PPN) communities and their association with soil physicochemical properties across contrasting agricultural soils in three major regions of New Zealand: Waikato, Canterbury, and Manawatū-Whanganui. PPN assemblages were dominated by root-lesion and spiral nematodes, with Canterbury showing the highest Shannon and Simpson diversity and species richness, followed by Waikato and Manawatū-Whanganui. Non-metric multidimensional scaling (NMDS) and hierarchical clustering revealed partial regional separation of nematode communities, and multivariate analyses confirmed significant regional variation (<em>p</em> &lt; 0.05). Spearman correlations indicated weak to moderate associations between PPNs, diversity, and soil properties: lesion nematodes were negatively correlated with pH and moisture, root-knot nematodes were weakly positively correlated with Shannon diversity and richness, and <em>Tylenchus</em> showed weak positive associations with diversity and C/N ratio. Diversity increased with silt but decreased with sand, phosphorus, carbon, and nitrogen. Additionally, canonical correspondence analysis (CCA) demonstrated that soil parameters collectively explained 20–25% of the variation in PPN community structure, with significant influences from phosphorus, pH, sand, clay, C/N ratio, and moisture content. Key associations, as indicated by their proximity to the corresponding environmental vectors, were observed between lesion nematodes and clay, spiral nematodes and moisture content, and ring nematodes and soil moisture and sand%. These findings provide the first detailed account of PPN ecology in New Zealand, highlighting the significant influence of regional soil characteristics on the composition of PPN communities. While valuable baseline data are presented, further research is recommended to explore seasonal dynamics, long-term trends, and the impact of different agronomic practices, informing more effective, region-specific PPN management strategies.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01056"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil color serves as a key pedogenic indicator in the Godavari Basin, India","authors":"Gizachew Ayalew Tiruneh ,&nbsp;Bhaskara Phaneendra ,&nbsp;Ciro Abbud Righi","doi":"10.1016/j.geodrs.2025.e01046","DOIUrl":"10.1016/j.geodrs.2025.e01046","url":null,"abstract":"<div><div>The Godavari River basin, a major rice —producing region, requires an accurate understanding of soil drainage to enhance crop productivity. Soil color-evaluated using the Munsell chart and converted to the CIE Lab system, acts as a reliable indicator of soil moisture, texture, and drainage. In this system, L* denotes lightness, a* redness, and b* yellowness. A drainage index was derived using Mahalanobis distance based on these color parameters. A total of forty-two soil profiles were opened from three landforms—fluvial, fluviomarine, and marine—using a 1:250,000-scale soil resource inventory. Fluvial soils exhibited clay to silty clay textures with Ap horizons (0–18 cm) and Bg horizons extending beyond 100 cm, indicating sustained alluvial deposition. Fluviomarine soils displayed stratified silty clay to silty clay loam and sand layers with subsoil effervescence, indicating carbonate accumulation under combined fluvial and marine influence. In contrast, marine soils showed lighter silt loam to sandy textures, reflecting slower pedogenesis. CIE Lab analysis showed marine soils are lighter (L* = 50.65) with higher b* values (23.76), while fluvial soils are darker (L* = 33.88) and more reddish-yellow (b* = 12.32). Fluviomarine soils exhibited the highest color variability, reflecting heterogeneous sediment mixing and fluctuating redox conditions. Drainage assessments showed moderate to poor subsoil drainage in fluvial and fluviomarine soils, which influenced root growth, water retention, and soil color. These results demonstrated strong relationships between soil color, texture, and drainage, emphasizing the need for site-specific management to optimize irrigation, fertility, and pedogenesis in the Godavari rice landscapes.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01046"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term effects of converting degraded pasture to silvopastoral systems on soil carbon and nitrogen dynamics in a Brazilian Oxisol","authors":"Róberson Machado Pimentel ,&nbsp;Dilermando Miranda da Fonseca ,&nbsp;Emanuelle Mercês Barros Soares ,&nbsp;Sílvio Nolasco de Oliveira Neto ,&nbsp;Geraldo Fábio Viana Bayão ,&nbsp;Rafael da Silva Teixeira ,&nbsp;Igor Lima Bretas ,&nbsp;Wesley dos Santos Souza ,&nbsp;Rafael Gonçalves Tonucci ,&nbsp;Bruno Grossi Costa Homem ,&nbsp;Fernanda Helena Martins Chizzotti","doi":"10.1016/j.geodrs.2025.e01042","DOIUrl":"10.1016/j.geodrs.2025.e01042","url":null,"abstract":"<div><div>Integrated crop–livestock–forestry systems is a strategy for removing atmospheric CO₂ emissions and enhancing the resilience of agricultural to climate change. This study assessed recovery of degraded areas through silvopastoral systems (SPS) and their monocultures on soil carbon (C) and nitrogen (N) stocks six years after establishment. The systems included: SPS with intrarow spacings of 2 or 4 m and an interrow spacing of 12 m; <em>Eucalyptus</em> spp. monoculture (3 × 3 m); renovated pasture monoculture; degraded pasture; and native vegetation. The total C and N stocks were calculated up to 100 cm and expressed on an equivalent soil mass basis, using native vegetation as the reference. Monoculture systems, whether renovated pasture (112.2 Mg C ha⁻¹ and 7.9 Mg N ha⁻¹) or Eucalyptus (101.3 Mg C ha⁻¹ and 7.9 Mg N ha⁻¹), did not restore soil C and N stocks to levels comparable with native vegetation (122.4 Mg C ha⁻¹ and 10.0 Mg N ha⁻¹). In contrast, the SPS (118.7 Mg C ha⁻¹ and 9.3 Mg N ha⁻¹) had greater C and N stocks than those in degraded pasture (104.8 Mg C ha⁻¹ and 6.6 Mg N ha⁻¹) and N stocks similar for the native vegetation. Moreover, SPS significantly increased C in particulate organic matter (POM<img>C) and improved the C management index at 20–40 cm (CMI = 59) and 40–60 cm (CMI = 90) depths compared to degraded pasture (CMI = 23 and 28, respectively). These findings underscore the potential of SPS as a sustainable strategy for recovering degraded pastures and improving soil quality.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01042"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil fertility and maize response to subsoil deep tillage and termite mound amendments in strongly weathered plinthic soils","authors":"John Banza Mukalay ,&nbsp;Jeroen Meersmans ,&nbsp;Joost Wellens ,&nbsp;Yannick Useni Sikuzani ,&nbsp;Emery Kasongo Lenge Mukonzo ,&nbsp;Gilles Colinet","doi":"10.1016/j.geodrs.2026.e01066","DOIUrl":"10.1016/j.geodrs.2026.e01066","url":null,"abstract":"<div><div>Plinthite, an iron-rich and humus-poor clay horizon that hardens irreversibly, poses major constraints to agriculture in the Lubumbashi region. Termite mound materials, which are enriched in basic cations, combined with subsoiling to fragment and remove plinthite, may improve soil fertility. This study evaluated the combined effects of subsoiling and termite mound amendments on Plinthosols under maize across ten blocks covering 660 ha. Surface soils (0–10 cm) were sampled, soil profiles were described, and maize yields were measured over two growing seasons. Spatial patterns of soil properties and yield were mapped using the Spline With Barriers method, and stepwise regression was applied to identify key variables controlling yield.</div><div>Soil thickness ranged from &lt;9 cm in areas requiring secondary subsoiling to &gt;73 cm in blocks B2, B5, B6, and B9. Soil pH (KCl) ranged from 4.1 to 7.8, while pH in water ranged from 4.9 to 8.7, with stronger acidity observed in blocks B8–B10. Total organic carbon (TOC) was generally low (0.4–2.5%). Nutrient contents were highly heterogeneous: P ranged from 5.1 to 145.5 mg kg⁻¹; Ca from 1360 to 18,268 mg kg⁻¹; K from 130.2 to 942.0 mg kg⁻¹; and Mg from 238.8 to 2987 mg kg⁻¹. Available Al (44–293 mg kg⁻¹), Fe (28.1–351.7 mg kg⁻¹), Mn (4.4–669 mg kg⁻¹) and Cu (1.9–25.8 mg kg⁻¹) also showed strong spatial variability. Bulk density decreased with depth, and although Ksat remained low, water retention was improved in the surface layer. Maize grain yield ranged from 2.3 to 11.1 t ha⁻¹, with seasonal means of 7.1–8.2 t ha⁻¹. Regression models identified soil pH, Ca, and TOC as the main positive determinants of maize yield, whereas high concentrations of Fe, Cu, and Mn were associated with reduced yields.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01066"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of autumn crop-coverage in nitrate leaching: A Daisy model scenario analysis comparing catch-crops and winter cereals across multiple sites and climatic conditions in Denmark","authors":"Magdalena Vinkler Schwartzkopff ,&nbsp;Per Abrahamsen ,&nbsp;Jørgen Eriksen ,&nbsp;Lars Stoumann Jensen","doi":"10.1016/j.geodrs.2025.e01033","DOIUrl":"10.1016/j.geodrs.2025.e01033","url":null,"abstract":"<div><div>Understanding the intra-annual dynamics of nitrogen (N) turnover across entire crop rotations is essential for minimizing N losses, as these dynamics carry legacy effects spanning agrohydrological years. While catch-crops (CCs) are widely adopted to mitigate N leaching, there is uncertainty of how their effectiveness varies across soil conditions and climates. This study used the agroecological model Daisy to evaluate regional variations, caused by differences in soil- and climatic-conditions, on N leaching in crop rotations with varying proportions of CCs, spring-, and winter-cereals as crop cover. This study utilized four soil types, from coarse sand to clay, and constructed eight 24-year crop rotation scenarios to quantify how differing levels of CC and winter cereal cover reduced annual N leaching and affected other key N-dynamics. Results confirmed that soil type alone could not explain differences in N leaching across crop rotations, but conditions such as early CC termination, restricted root development, high autumn precipitation, and percolation patterns, meant that winter wheat as an autumn cover could be equally effective as CCs in reducing annual N leaching. Although increasing CC-cover generally led to a near-linear reduction in N leaching, the magnitude of reduction varied depending on soil, CC species, and annual weather variability, ranging from 9 to 75 %. Differences between rotations could be largely explained by accounting for the intra-annual dynamics of N cycling. Finally, the high annual and site-specific variability in N leaching highlights the need for adaptive management strategies to ensure consistent reductions under increasingly unpredictable weather conditions.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01033"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pedotransfer functions for Peruvian soils: A web tool for dry bulk density estimation","authors":"Carlos Mestanza ,&nbsp;Miguel Chicchon ,&nbsp;Jonathan Vásquez ,&nbsp;Alexandre ten Caten ,&nbsp;César Beltrán","doi":"10.1016/j.geodrs.2026.e01054","DOIUrl":"10.1016/j.geodrs.2026.e01054","url":null,"abstract":"<div><div>Dry bulk density measurements are crucial in soil science for calculating soil mass and absolute contents of compounds such as carbon, nutrients, or contaminants. Despite its importance, bulk density is often omitted in soil survey due to the specialized equipment and time required for direct measurement. Pedotransfer functions provide an accurately and cost-effective alternative for estimating bulk density from readily available soil data. However, these equations face two key limitations: they lack universal applicability, requiring country-specific production or recalibration to account for national soil conditions and laboratory protocols, and their implementation remains challenging for end-users (e.g., farmers and agronomists), who need simplified tools to implement functions in field settings. Here we developed dry bulk density pedotransfer functions for Peruvian soil conditions and an open-access web tool to facilitate their application. A total of 15 pedotransfer functions were developed, 4 traditional and 11 machine learning-based, the latter including 3 models based on tabular deep learning. Model performance was evaluated based on the root mean square error (RMSE), goodness of fit (R²), and training time (TT). Statistical comparisons between the model predictions were performed with the Friedman test. Our results show that eXtreme Gradient Boosting machine (RMSE = 0.2215 Mg·m⁻³, R² = 0.56, TT = 0.24 s) achieve the highest predictive performance. However, Friedman test revealed no statistically differences among most models, suggesting that traditional approaches, like the multiple linear regression (RMSE = 0.2475 Mg·m⁻³, R² = 0.45, TT = 0.02 s), retain practical advantages due to their simplicity and practicality. Among tabular deep learning, only the Feature Tokenizer Transformer demonstrated competitive performance (RMSE = 0.2278 Mg·m⁻³, R² = 0.54, TT = 223 s), other models showed limited predictive capability, likely due to constraints imposed by our training dataset size. The pedotransfer functions web tool enables end-users to access and utilize the developed models, thereby reducing the knowledge and application gaps.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01054"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can cohesive soils still have functional pores? An analysis based on X-ray microtomography","authors":"José V. Gaspareto ,&nbsp;Thaís N. Pessoa ,&nbsp;Talita R. Ferreira ,&nbsp;Luiz F. Pires","doi":"10.1016/j.geodrs.2025.e01041","DOIUrl":"10.1016/j.geodrs.2025.e01041","url":null,"abstract":"<div><div>Cohesive soils account for over 100,000 km² of the Brazilian territory and support extensive agricultural areas, particularly in coastal regions. However, they present challenges for farming because they harden considerably when dry. Therefore, it is essential to study how the pore network of these soils changes during drying. This understanding is essential for promoting sustainable soil management and more efficient use of water resources. This study utilized X-ray microtomography (voxel size: 9.7 μm) to characterize the pore architecture of a cohesive Oxisol under Semideciduous Seasonal Forest, known for its high bulk density. The average imaged porosity was 11.16 % (<em>n</em> = 5), reflecting the soil's dense nature, with the average macroporosity (pores with an equivalent radius &gt; 40 μm) accounting for 63.02 % of the total pore volume. The predominance of macropores contributes to a porous system with a predominant contribution from larger-diameter pores (volume &gt; 10.0 mm³). Despite the low imaged porosity, the soil demonstrated low tortuosity and intermediate pore connectivity, suggesting effective potential pathways for water and gas flow in multiple directions. Pore shape analysis revealed a predominance of elongated pores (prolate and triaxial shapes), which may be associated with biological activity and the natural dynamics of soil matrix reorganization. Principal component analysis (PCA) further supported these findings, showing that the presence of larger pores contributed significantly to imaged porosity and structural complexity, while smaller pores primarily determined the total number of pores. These findings emphasize the importance of examining the micrometric scale pore architecture to understand the functionality of cohesive soils. They demonstrate that the high bulk density typical of cohesive soil horizons does not preclude the presence of a functionally relevant porous system, essential for soil hydrodynamics.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01041"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Topsoil development along a litho-climatic sequence of deposited aeolian sediments in the semiarid Pampas (Argentina)","authors":"M.G. Berger ,&nbsp;R. Funk ,&nbsp;M. Leue ,&nbsp;M. Sommer ,&nbsp;D.E. Buschiazzo ,&nbsp;L.A. Iturri","doi":"10.1016/j.geodrs.2026.e01068","DOIUrl":"10.1016/j.geodrs.2026.e01068","url":null,"abstract":"<div><div>The remaining Caldenal forests patches in the semiarid Pampas are a sink for aeolian sediments originating from the neighboring agricultural lands. The A horizon inside these patches has developed above a volcanic ash layer deposited in 1932. This particularity allows quantifying the thickening rate and soil development in a relatively short period (since 1932 to present). To evaluate the possible soil development in a semiarid environment under variable texture and climatic conditions, the A horizons of six SW to NE ordered sites were analyzed. Results showed that A horizons thickness increased from SW to NE, in agreement with the direction of the prevailing winds. Soil texture was finer in the same direction, with means of 130.4 μm (fine sand, SW extreme) and 82.4 μm (very fine sand, NE extreme). The size and the rounded shape of the particles composing the A horizons agree with an aeolian origin of the sediments. Higher soil development, expressed by darker colors, better structure (granular and subangular aggregate types of moderate to strong degree) and higher organic C concentrations (4.5%), was detected to the NE, which coincided with finer texture and higher mean annual precipitation and temperature. Results showed that forest patches are not only sinks for C enriched wind-blown sediments in semiarid environments, but also promote topsoil development even in a short period. Outcomes may be useful to couple to studies on dust and C distribution in the agroecosystem, with the aim off achieving the land neutrality at landscape scale.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01068"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil multifunctionality and changes in the microbiome community following the transition from forest to agriculture in southern Spain","authors":"Ricardo Andrés Oviedo Celis ,&nbsp;Maria Patiño ,&nbsp;Felipe Bastida ,&nbsp;Cristhian Hernández Gamboa ,&nbsp;José Antonio Pascual ,&nbsp;Margarita Ros","doi":"10.1016/j.geodrs.2026.e01050","DOIUrl":"10.1016/j.geodrs.2026.e01050","url":null,"abstract":"<div><div>The conversion of forests to cropland, driven primarily by agricultural expansion, can significantly alter ecosystem services and soil multifunctionality. In this study, we examined the effects of forest-to-cropland conversion in two semi-arid areas of Spain on soil chemical properties, microbial activity, and community structure. Sampling sites included perennial crops in soil A and annual crops in soil B, compared to Aleppo pine (<em>Pinus halepensis</em>) forests in both locations (PS and PC). Forest-to-cropland conversion and land use type influenced soil properties, microbial activity, and carbon and nitrogen cycles. We also observed significant differences (<em>P</em> &lt; 0.05) in nutrient content for the two agricultural systems compared to the PS and PC forest soils. The annual crop showed a 61% decrease in total organic carbon, which reduced enzymatic activity compared to the forest soil (PS), where the implementation of perennial crops resulted in up to four times higher levels of nutrients such as phosphorus (P). The multifunctionality of the forest (PS) in soil B showed higher values than those of the cultivated lands, while in soil A, the forest (PS) only showed greater microbial activity. According to our study, the conversion of forests to perennial crops can promote soil management in semi-arid regions. These findings highlight the importance of implementing appropriate soil management strategies after the conversion of forest lands to agricultural use, prioritizing systems that maximize overall ecosystem functioning.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01050"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}