Applied Soil Ecology最新文献

{"title":"Drivers of denitrification and nitrification in a dryland agroecosystem: The role of abiotic and biotic factors","authors":"Zhou Fang ,&nbsp;Zhenling Peng ,&nbsp;Yali Zhang ,&nbsp;Jiayao Han ,&nbsp;Jianbin Pan ,&nbsp;Qi Zhang ,&nbsp;Lin Mao ,&nbsp;Guoxi Shi ,&nbsp;Yongjun Liu ,&nbsp;Huyuan Feng ,&nbsp;Xavier Le Roux","doi":"10.1016/j.apsoil.2024.105691","DOIUrl":"10.1016/j.apsoil.2024.105691","url":null,"abstract":"<div><div>Agricultural practices such as tillage and fertilization impact soil nitrogen (N) cycling processes, but how they alter the coupling between the activity, abundance and diversity of N-cycling microbes remains to be understood. Here, we used a fifteen-year trial in a dryland agroecosystem on the Loess Plateau of China (two tillage regimes crossed with six fertilization treatments) to understand how (de)nitrification potentials are determined by soil abiotic conditions and the abundances and compositions of the (de)nitrifier communities. We measured the abundances of bacterial (AOB) and archaeal (AOA) ammonia oxidizers and <em>nirK</em>- and <em>nirS</em>-nitrite reducers, their community compositions, potential nitrification (PNA) and denitrification (PDA), and soil abiotic conditions. PNA and PDA across the 12 treatments were positively correlated to AOB abundance and <em>nirS</em> abundance, respectively. Co-occurrence network analysis revealed the presence of dominant ecological modules of (de)nitrifiers sensitive to agricultural treatments, and more complex network under no-tilled than tilled conditions as well as under multiple fertilizers than unfertilized conditions. Path analysis and random forest analysis both showed that PNA was explained by AOB abundances and the relative abundance of one module of (de)nitrifiers driven by soil ammonium concentration, while PDA was most related to soil organic carbon concentration, pH and to a lesser extent <em>nirS</em> abundance. These findings demonstrate that, in agricultural soils, the potential of denitrification –a facultative activity for denitrifiers– is mainly predicted by abiotic conditions, while the potential of nitrification –an obligate activity for nitrifiers– is determined by biotic variables, here AOB abundances and a particular cluster of microbial populations.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"204 ","pages":"Article 105691"},"PeriodicalIF":4.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445575","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":"Effects of organic nitrogen addition on soil microbial community assembly patterns in the Sanjiang Plain wetlands, northeastern China","authors":"Mingyu Wang ,&nbsp;Beat Frey ,&nbsp;Detian Li ,&nbsp;Xiangyu Liu ,&nbsp;Chengrong Chen ,&nbsp;Yingnan Liu ,&nbsp;Rongtao Zhang ,&nbsp;Xin Sui ,&nbsp;Mai-He Li","doi":"10.1016/j.apsoil.2024.105685","DOIUrl":"10.1016/j.apsoil.2024.105685","url":null,"abstract":"<div><div>Soil microorganisms are pivotal in global biogeochemical cycles, significantly influencing energy flow and climate regulation. The <em>Deyeuxia angustifolia</em> wetland in the Sanjiang Plain, northeastern China, represents a key ecological area, yet the impact of organic nitrogen (Urea) addition on its soil microbial community remains largely unexplored. This study delves into the assembly patterns and processes of soil microbial communities following seven years of urea addition in this wetland, utilizing high-throughput sequencing technology. Our findings reveal that urea addition leads to a decrease in soil pH and an increase in various soil nutrients, including dissolved organic carbon, total nitrogen, organic carbon, dissolved organic nitrogen, nitrate, and ammonia nitrogen. While urea addition significantly alters soil bacterial and fungal β-diversity, it does not affect their α-diversities. Comparative analysis across nitrogen treatments shows significant shifts in 24 bacterial and 21 fungal taxa. The abundance of a few bacterial genera (<em>Bradyrhizobium</em> and <em>Haliangium</em>) decreases with increasing N addition; while the abundance of a few fungal genera (<em>Penicillium</em> and <em>Coniochaeta</em>) increases with the increasing N addition. Random forest models revealed that rare genera (e.g., <em>Syntrophorhabdus</em>, <em>Terrimonas</em>, <em>Galerina</em>, and <em>Mariannaea</em>) also play an important role during organic nitrogen addition. Co-occurrence network analysis indicates a weakening interaction between bacteria and fungi with increased urea addition, accompanied by shifts in dominant bacterial and fungal phyla. Mantel test revealed a correlation between bacterial community diversity, network topology properties and various soil physico-chemical properties, while only network topology properties were correlated with soil physicochemical properties in the fungal community. Structural equation modeling (SEM) suggested that organic nitrogen addition affect soil bacterial and fungal structure by influencing plant diversity, plant biomass, and environmental factors. Community assembly analysis reveals a stochastic dominance in bacterial communities and a deterministic dominance in fungal communities under urea addition. Overall, this study enhances our understanding of soil microbial community responses to organic nitrogen addition in wetland ecosystems, offering insights for their sustainable management.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"204 ","pages":"Article 105685"},"PeriodicalIF":4.8,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanotechnology in the soil system: An ecological approach towards sustainable management","authors":"Hassan El-Ramady ,&nbsp;József Prokisch ,&nbsp;Daniella Sári ,&nbsp;Abhishek Singh ,&nbsp;Karen Ghazaryan ,&nbsp;Vishnu D. Rajput ,&nbsp;Eric C. Brevik","doi":"10.1016/j.apsoil.2024.105669","DOIUrl":"10.1016/j.apsoil.2024.105669","url":null,"abstract":"<div><div>Soil ecology is significant in agroecosystems due to its influence on numerous environmental components, including soil, water, air, fauna, flora, and human health. The soil system has a substantial history with nanotechnology, beginning with the recognition that soil itself is considered a nanosystems, as components such as clays, organic matter, and oxides found in soil can be classified within the nanoparticle range. From this perspective, nanotechnology in the soil system is a long-established topic that requires reevaluation within the framework of contemporary nanotechnology-based knowledge. Nano-farming is gaining increasing attention and has ecological consequences for the soil system. This review focuses on nano-soil ecology through selected issues, including nano-remediation for soil quality, soil nano-fertilization to improve crop growth, nano-crop protection, nano-management of agro-wastes, and the potential for nano-toxicity in soil. Expected challenges facing sustainable nanotechnology-based farming and the global farming community were also highlighted, including soil nanoparticle-associated toxicity and its impacts on soil microbiota, plants, and others, such as humans, that depend on the soil system. The review confirmed that sustainable nanotechnology-based farming development must consider the impact of nanomanagement on potential toxicity in the soil ecological system. It was concluded that nanotechnology has shown promise in improving almost all aspects of the agricultural system, from pre-planting treatments to packaging and shipping. However, several urgent questions regarding nanotechnology-based farming remain. These include the following: What practices or regulations are needed to avoid nanotoxicity that would negatively affect the soil ecosystem? What are the expected obstacles to an agrotechnological revolution based on nanotechnology? What are the expected toxic effects of various nano-compounds on plants, animals, and soil microbes?</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"204 ","pages":"Article 105669"},"PeriodicalIF":4.8,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142437788","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":"Enhancing soil moisture retrieval in semi-arid regions using machine learning algorithms and remote sensing data","authors":"Xulong Duan ,&nbsp;Ahsen Maqsoom ,&nbsp;Umer Khalil ,&nbsp;Bilal Aslam ,&nbsp;Talal Amjad ,&nbsp;Rana Faisal Tufail ,&nbsp;Saad S. Alarifi ,&nbsp;Aqil Tariq","doi":"10.1016/j.apsoil.2024.105687","DOIUrl":"10.1016/j.apsoil.2024.105687","url":null,"abstract":"<div><div>Soil moisture is an essential quantitative characteristic in hydrological processes and agricultural production. Satellite remote sensing has been extensively used to estimate topsoil moisture. However, gathering Soil Moisture Content (SMC) data with high spatial resolution in diverse watersheds takes a lot of work and money to maintain. In this research, a significant soil moisture retrieval analysis in a semi-arid region of Pakistan was done to investigate the potential use of machine learning algorithms in the agricultural field. Various machine learning algorithms, i.e., Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN), and Elastic Net Regression (EN), were applied to retrieve soil moisture using Landsat 8 thermal and optical sensors. As a result, enhancing retrieval from remote sensing data is critical, which is vital for land resource planning and management. Many techniques for estimating soil moisture content in various geographical and climatic circumstances based on satellite-derived vegetation indices have been established. Machine learning, statistical approaches, and physical modeling techniques were used to retrieve soil moisture. Compared to other ML models, it shows a Nash-Sutcliffe efficiency of 1.9, an index of agreement 2.08 for predicted SMC for the RF model. According to the data analysis, the RF technique showed superior performance with the maximum Nash–Sutcliffe Efficiency value (0.73) for soil moisture retrieval across all land-use categories sound reflectivity, and supplemental geographical data can be combined with the outputs of this research to give more helpful insight for estimation of SMC having precise agricultural applications.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"204 ","pages":"Article 105687"},"PeriodicalIF":4.8,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441121","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":"Niche adaptation strategies of comammox Nitrospira in response to nitrogen addition in different types of soil","authors":"Wenxin Zou ,&nbsp;Shunli Liu ,&nbsp;Jian Jiao ,&nbsp;Wushuai Zhang ,&nbsp;Yuanxue Chen ,&nbsp;Prakash Lakshmanan ,&nbsp;Ming Lang ,&nbsp;Xinping Chen","doi":"10.1016/j.apsoil.2024.105682","DOIUrl":"10.1016/j.apsoil.2024.105682","url":null,"abstract":"<div><div>Comammox <em>Nitrospira</em> (CMX) is a no<u>vel</u> discovered “one-step” nitrifying microorganism, and the understanding of its niche specialization and response to agricultural practices in intensive ecosystems is still in its infancy. In this study, we investigated the effect of CMX community activated by nitrogen (N) inputs and soil types on two long-term maize N fertilizer experiments in the main maize-producing areas of North China (calcareous fluvo-aquic soil) and Southwest China (acidic purple soil). CMX includes clade A and clade B, with clade B detected only in the purple soil. The results indicated that the abundance and alpha diversity of CMX in the purple soil were higher than those in fluvo-aquic soil. Greater network complexity and enhanced cooperation have led to a broader ecological niche for CMX in acidic purple soils, but not in fluvo-aquic soil. The clade A community were affected mainly by soil organic carbon (C), N contents in fluvo-aquic soil, while pH and the ratio of C:N were the primary factors for CMX in purple soil. Moreover, the alpha diversity and niche breadth of clade A in fluvo-aquic soil and clade B in the purple soil increased under optimal N application (148 kg N ha⁻¹ for fluvo-aquic soil,180 kg N ha⁻¹ for purple soil). Overall, these findings provide new insights into the adaptation mechanisms of CMX communities under distinct agricultural soil conditions and offers microbial perspective of optimizing N fertilizer management strategies. It refines our understanding of the microbial-soil nutrient cycling processes, promoting the development of future microbe-driven soil management strategies.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"203 ","pages":"Article 105682"},"PeriodicalIF":4.8,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142431983","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":"Impacts of spent mushroom substrate amendment and season on microbial communities in a semiarid vineyard soil","authors":"José M. Igual ,&nbsp;María Soledad Andrades ,&nbsp;Cristina Frade ,&nbsp;M. José Carpio ,&nbsp;Jesús M. Marín-Benito ,&nbsp;M. Sonia Rodríguez-Cruz ,&nbsp;Angel Valverde","doi":"10.1016/j.apsoil.2024.105689","DOIUrl":"10.1016/j.apsoil.2024.105689","url":null,"abstract":"<div><div>Spent mushroom substrate (SMS) amendment provides multiple benefits to the soil and therefore can increase the sustainability of agroecosystems. However, very little is known on how SMS fertilization can affect microbial community diversity and composition. To bridge this gap, we collected soils in two seasons (Spring and Autumn) from replicated plots with two doses of SMS (25 and 100 Mg ha⁻¹) maintained at a vineyard in La Rioja, Spain. Using Illumina sequencing of both the 16S rRNA gene and the ITS, we found that the changes in soil chemistry, as a consequence of SMS amendment, did not influence microbial alpha-diversities, but shaped bacterial beta-diversity regardless of the season. This implies that bacterial beta-diversity patterns remain consistently stable across treatments over time. However, our research also underscores the significant role of seasonal dynamics in shaping the structure and composition of microbial communities, as we noted a noteworthy decrease in beta-diversity during Autumn (after the dry summer) compared to Spring. The resulting biotic homogenization of both fungal and bacterial communities led to reduced relative abundances of N-fixing bacteria, as well as fungal and bacterial pathogens in Autumn as opposed to Spring. Altogether, our findings indicate that vineyard soil microbial communities are influenced by both resource availability and the varying environmental conditions. This information is essential for steering soil microbial communities to enhance plant productivity. The results of this study may contribute to more effective management of Mediterranean vineyards in accordance with the principles of the circular economy.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"203 ","pages":"Article 105689"},"PeriodicalIF":4.8,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142431957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen availability of mung bean in plant-soil system and soil microbial community structure affected by intercropping and nitrogen fertilizer","authors":"Xiangwei Gong ,&nbsp;Xuelian Wang ,&nbsp;Ke Dang ,&nbsp;Yuchuan Zhang ,&nbsp;Xinjie Ji ,&nbsp;Anran Long ,&nbsp;Jingwen Yang ,&nbsp;Liyun Chang ,&nbsp;Baili Feng","doi":"10.1016/j.apsoil.2024.105692","DOIUrl":"10.1016/j.apsoil.2024.105692","url":null,"abstract":"<div><div>Cereal/legume intercropping can effectively boost farmland productivity and ecosystem functions through aboveground and belowground interaction. However, the impacts of intercropping on the growth performance of inferior crops and soil microbial community structure remain unclear, especially combined with different nitrogen (N) fertilizer input. This study investigated two cropping layouts: sole mung bean (SM), proso millet/mung bean intercropping (IM), each subjected to four N levels: 0 kg N ha⁻¹ (N0), 45 kg N ha⁻¹ (N1), 90 kg N ha⁻¹ (N2), and 135 kg N ha⁻¹ (N3). The results showed that compared with SM, IM significantly decreased the dry matter accumulation and N uptake of mung bean, resulting in lower N use efficiency and grain yield. Suitable application of N fertilizer was conducive to promoting the growth of intercropped mung bean, however, it still cannot reach the state of monoculture. Intercropping and N fertilizer significantly increased total N content, microbial biomass N content, as well as N-related enzyme activities in rhizosphere soil of mung bean, but decreased ammonium N and nitrate N content. These changes affected the community structure and diversity of soil microorganisms. The effect of intercropping on microbial diversity was greater than that of N fertilizer, as showed by Chao1 index and Shannon index. Redundancy analysis revealed that plant N uptake and stem N content were key factors affecting bacterial and fungal community structure. Intercropping and N fertilizer altered the topological network properties of soil microbial communities; the ecological connectivity of bacterial taxa was tighter than that of fungi. Our findings underscore the importance of field agricultural practices in affecting N availability of mung bean in plant-soil system and shaping rhizosphere community, thereby impacting the productivity of intercropping system. These results would provide important understanding for optimizing N utilization and management in legume-based intercropping systems.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"203 ","pages":"Article 105692"},"PeriodicalIF":4.8,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142431982","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":"Warming mitigates the effects of nitrogen addition on the soil diazotrophic community in a subtropical forest","authors":"Jiling Cao ,&nbsp;Lin Li ,&nbsp;Yu Han ,&nbsp;Zhiyuan Liu ,&nbsp;Faying Lai ,&nbsp;Yusheng Yang","doi":"10.1016/j.apsoil.2024.105686","DOIUrl":"10.1016/j.apsoil.2024.105686","url":null,"abstract":"<div><div>Current models predict that climate warming and nitrogen (N) deposition will continue to increase in the coming years. However, information regarding how warming and N deposition together impact soil diazotrophs (N-fixing microbes) is still limited. Therefore, the soil N₂-fixation activity and structure of diazotrophic communities were examined in a subtropical forest after three years of warming and N addition. The ecological networks and community assembly were also investigated. We found that N addition decreased soil N₂-fixation activity and diazotrophic abundance and diversity and caused a significant shift in community structure. In contrast, warming had positive effects on soil N₂-fixation activity and diazotrophic abundance, with minor impacts on diazotrophic community composition. The combination of warming and N addition caused a less variation in the diazotrophic community composition and lower associations in the ecological networks than did N addition alone. The assembly of diazotrophic communities was shaped mainly by stochastic processes, with an increase in deterministic processes under N addition. These findings suggest that warming and N addition have differential impacts on soil diazotrophs and that warming might mitigate the changes in soil diazotrophic communities caused by N addition in subtropical forests. Additionally, the results indicate that soil diazotrophic communities are less sensitive to a combination of warming and N addition than to N addition alone. Therefore, the influences of multiple global change factors on soil diazotrophs cannot be overestimated.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"203 ","pages":"Article 105686"},"PeriodicalIF":4.8,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142431984","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 biological nitrogen fixation is closely associated with soil ammonium nitrogen content in a mowing semiarid natural grassland","authors":"Jiaojiao Liu ,&nbsp;Jiayue Liu ,&nbsp;Shuwen Wang ,&nbsp;Qiang Fu ,&nbsp;Taogetao Baoyin ,&nbsp;Zhihua Bao ,&nbsp;Frank Yonghong Li","doi":"10.1016/j.apsoil.2024.105690","DOIUrl":"10.1016/j.apsoil.2024.105690","url":null,"abstract":"<div><div>Soil biological nitrogen fixation (BNF) plays a significant role in N input in terrestrial ecosystems, and can be largely altered by management. In semi-arid region of Northern China, natural grasslands rely on soil BNF to maintain nitrogen input under long-mowing, but the effects of mowing on BNF remain unclear. Here we assessed the soil BNF rate and the <em>nifH</em> gene abundance in soil (0–10 cm) of the grasslands subject to long-term (19 years) annual mowing (MO) versus no mowing (NM) in a semiarid natural steppe grassland. Our results indicated that mowing significantly increased the BNF rate (<em>P</em> &lt; 0.01) from 11.48 g N ha⁻¹ d⁻¹ (NM) to 25.16 g N ha⁻¹ d⁻¹ (MO); mowing also significantly increased average N fixation activity per <em>nifH</em> gene (<em>P</em> &lt; 0.05), while reduced the <em>nifH</em> gene abundance (<em>P</em> &lt; 0.05). The <em>nifH</em> gene abundance was not significantly correlated with the BNF rate (<em>P</em> &gt; 0.05), suggesting that the <em>nifH</em> gene abundance based on DNA analysis was not indicative for BNF rate; while soil ammonium nitrogen (<span><math><msubsup><mi>NH</mi><mn>4</mn><mo>+</mo></msubsup></math></span>-N) content was identified by stepwise multiple regression the only variable that can significantly explain the variation in BNF rate. Our results suggest that soil <span><math><msubsup><mi>NH</mi><mn>4</mn><mo>+</mo></msubsup></math></span>-N content is the most efficient predictor of BNF rate instead of <em>nifH</em> gene abundance, and it is more crucial to quantify the impacts of soil <span><math><msubsup><mi>NH</mi><mn>4</mn><mo>+</mo></msubsup></math></span>-N than the effects of diazotrophic abundance in predicting the changes in BNF rate in response to mowing management in semiarid grassland.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"203 ","pages":"Article 105690"},"PeriodicalIF":4.8,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142431959","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":"Dynamic changes of soil metabolite profiles during Moso bamboo (Phyllostachys edulis (Carrière) J. Houz.) expansion into adjacent planted forests in a typical karst river basin, South China","authors":"Lin Ai ,&nbsp;Yuxin Dai ,&nbsp;Feng Chen ,&nbsp;Jiaojiao Zhang ,&nbsp;Jiangming Ma ,&nbsp;Kundong Bai ,&nbsp;Zhangqi Yang ,&nbsp;Hao Yang","doi":"10.1016/j.apsoil.2024.105671","DOIUrl":"10.1016/j.apsoil.2024.105671","url":null,"abstract":"<div><div>Moso bamboo (<em>Phyllostachys edulis</em> (Carrière) J. Houz.) exhibits robust cloning and propagation capabilities, enabling its expansion into adjacent forest communities. However, previous studies on Moso bamboo expansion have predominantly focused on virgin forests, and studies on its effects on planted forests, particularly adjacent coniferous forests, remain limited. Therefore, this study investigated the effect of Moso bamboo expansion into planted forests of Masson pine (<em>Pinus massoniana</em> Lamb.) on soil metabolites. The study was conducted using untargeted metabolomics under different slope directions and positions in a typical karst river basin, and the relationships with soil metabolites and environmental factors were delineated. Moso bamboo expansion primarily affected glycerophospholipid metabolism and flavonoid biosynthesis in the soil. The alpha diversity of soil metabolites increased with the slope position (<em>p</em> &lt; 0.05). However, no significant difference in soil metabolites was observed between different slopes. The effects of soil organic matter, total phosphorus, and soil microbial community composition on soil metabolites were significant (<em>p</em> &lt; 0.05). Structural equation modeling suggested the existence of these two potential pathways of influence; the slope position and direction jointly affected soil metabolism through soil properties including pH (37.6 %), OM (49.3 %), Ca (14.4 %), HN (10.1 %), and TP (10.4 %), and microbial communities by Observed Species (19.3 %), Chao1 (12.3 %), ACE (12.1 %), and Shannon indices (20.3 %). Furthermore, the influence of slope positions and directions directly affected soil properties, subsequently affecting soil metabolism through the mediation of soil microbial communities by Observed Species (70.6 %), Chao1 (59.9 %), ACE (57.9 %), and Shannon indices (52.5 %). Therefore, we propose that assessing the rapid response on soil metabolites under varying slope positions and directions, along with their connection to soil environmental indicators, may provide insight into the ecological implications of Moso bamboo expansion. Our findings provide valuable insights for understanding how Moso bamboo cover dynamics affect soil metabolites in a typical karst river basin.</div></div>","PeriodicalId":8099,"journal":{"name":"Applied Soil Ecology","volume":"203 ","pages":"Article 105671"},"PeriodicalIF":4.8,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421606","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}