Soil carbon stability regulate carbon dynamics following large-scale afforestation DOI
Qi Zhang, Hanyu Liu,

Jiale He

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125032 - 125032

Опубликована: Март 23, 2025

Язык: Английский

Depth-dependent effects of tree species identity on soil microbial community characteristics and multifunctionality DOI
Zhiyuan Xu, Zhenhong Hu, Shuo Jiao

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 878, С. 162972 - 162972

Опубликована: Март 21, 2023

Язык: Английский

Процитировано

45

Microbial diversity and keystone species drive soil nutrient cycling and multifunctionality following mangrove restoration DOI
Minjie Hu, Jordi Sardans, Dongyao Sun

и другие.

Environmental Research, Год журнала: 2024, Номер 251, С. 118715 - 118715

Опубликована: Март 14, 2024

Язык: Английский

Процитировано

40

Spatiotemporal successions of N, S, C, Fe, and As cycling genes in groundwater of a wetland ecosystem: Enhanced heterogeneity in wet season DOI
Xianglong Chen, Yizhi Sheng, Guangcai Wang

и другие.

Water Research, Год журнала: 2024, Номер 251, С. 121105 - 121105

Опубликована: Янв. 3, 2024

Язык: Английский

Процитировано

28

Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project DOI Creative Commons
Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad

и другие.

Ecology and Evolution, Год журнала: 2025, Номер 15(2)

Опубликована: Фев. 1, 2025

ABSTRACT This study evaluates the Billion Tree Afforestation Project (BTAP) in Pakistan's Khyber Pakhtunkhwa (KPK) province using remote sensing and machine learning. Applying Random Forest (RF) classification to Sentinel‐2 imagery, we observed an increase tree cover from 25.02% 2015 29.99% 2023 a decrease barren land 20.64% 16.81%, with accuracy above 85%. Hotspot spatial clustering analyses revealed significant vegetation recovery, high‐confidence hotspots rising 36.76% 42.56%. A predictive model for Normalized Difference Vegetation Index (NDVI), supported by SHAP analysis, identified soil moisture precipitation as primary drivers of growth, ANN achieving R 2 0.8556 RMSE 0.0607 on testing dataset. These results demonstrate effectiveness integrating learning framework support data‐driven afforestation efforts inform sustainable environmental management practices.

Язык: Английский

Процитировано

3

Recruitment of specific rhizosphere microorganisms in saline-alkali tolerant rice improves adaptation to saline-alkali stress DOI

Jintian Lei,

Haidong Gu,

Zhuxiu Liu

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 963, С. 178413 - 178413

Опубликована: Янв. 17, 2025

Язык: Английский

Процитировано

2

Long-term application of nitrogen and phosphorus fertilizers changes the process of community construction by affecting keystone species of crop rhizosphere microorganisms DOI
Chunxiao Wu,

Benshuai Yan,

Furong Wei

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 897, С. 165239 - 165239

Опубликована: Июнь 30, 2023

Язык: Английский

Процитировано

35

Soil labile organic carbon fractions mediate microbial community assembly processes during long‐term vegetation succession in a semiarid region DOI Creative Commons
Jingwei Shi, Lin Yang, Yang Liao

и другие.

iMeta, Год журнала: 2023, Номер 2(4)

Опубликована: Окт. 22, 2023

Conceptual diagram for the labile organic carbon (OC) fractions mediating microbial assembly processes during long-term vegetation succession. Owing to its sparse and low soil (SOC) content, Loess Plateau is one of regions with highest (C) sequestration potential [1]. Vegetation succession a widely adopted strategy ecosystem recovery capacity rehabilitate degraded lands facilitate matter in semiarid region [2-5]. Additionally, it can influence underground community dynamics [6, 7]. The Ziwuling has undergone approximately 160 years secondary succession, making unique area complete sequence natural following farmland abandonment on [4]. Thus, this provide us better understanding patterns changes (Figure 1A Supporting Information: Table S1). Considering vital role microorganisms function, examining temporal communities crucial [8]. composition are essential function [9, 10]. Deterministic stochastic two primary ecological involved [11]. Traditionally, been regarded as being primarily influenced by deterministic processes, aligning principle that, "everything everywhere, but environment selects" [12]. Nevertheless, should not be disregarded when considering random extinctions or dispersal events [13]. Land use type also notable effect [14-16]. Stochastic have greater agricultural fields, whereas their impact diminishes forested soils, bacterial temperate grasslands [16]. Furthermore, there environmental differences between topsoil (0–20 cm) subsoil (20–40 terrestrial ecosystems [17]. Previous studies indicated that dominate assembly, drift prevailing limitation playing dominant subtropical paddy soils [18]. This indicates associations characteristics different spatial distributions, which may affect function. Although extensive research conducted process [12, 19, 20], uncertainties about remain owing resource balance strongly abiotic factors including nitrogen [19, 21, 22]. Research salt marsh plant shown fluctuations SOC exert strongest selective pressure assemblies [23]. Among eight indicators, had greatest [24]. commonly conceptualized stable C fraction storage models [25], easily oxidizable (EOC), particulate (POC), dissolved considered OC serve early indicators variation [26, 27]. In contrast, recalcitrant (ROC) mineral-associated highly [28]. functional diversity SOC, many these predominantly focused association 29, 30], leaving relationship relatively unclear. Within framework biotic cannot overlooked, could determine attributes niche occupancy 31]. Keystone taxa connected taxonomic groups play roles functionality [32]. For example, Sulfuricella, Rhodobacter, Comamonadaceae, drive mediated graphene derivatives [33]. However, keystone largely unknown ecosystems, enhancing comprehending functionality. To address issues, were selected progression explore structure, co-occurrence networks, relationships fractions. We hypothesized that: (1) stronger than because nutrient limitations, (2) given represents readily usable energy source microorganisms, likely mainly governed Long-term significantly increased accumulation 0–40 cm from pioneer weed stage onwards (p < 0.001; Figure 1B). content was higher all stages After shrubland stage, compared When reached forest (>110 years), gradually stabilized Succession age depth affected comprised phyla Proteobacteria, Actinobacteria, Acidobacteria, Gemmatimonadota, Chloroflexi 1C). Basidiomycota, Ascomycota, Mortierellomycota, Glomeromycota, Kixellomycota fungal abundances Actinobacterta, Mortierellomycota subsoil, those Chloroflexi, Ascomycota lower 0.05; relative Overall, decreased alpha communities, Chao 1 Shannon indices (Supporting S2). A combination NMDS analysis, ANOSIM, Adonis statistical tests varied 1D). Soil Tables S2 S3). along across depths investigated using null model analyses. results showed (|βNTI| > 2), especially homogeneous selection, critical bacteria fungi at both 2A–D). weaker subsoil. (homogeneous selection) later 2A,C). Drift limitations 2B,D). networks distinct each 2E–H). Edges average degree depth, demonstrating network more complex (Table S4). positive correlations cross-kingdom further explored S3), found nodes edges among climax forests S4), suggesting complexity networks. Network analysis identified genus Dongia (ASV901) amplicon variant (ASV) bacteria, genera MND1 (ASV155) MB-A2-108 (ASV266) 2E,F S5). ASVs included (ASV4), family Pezizaceae (ASV45), Fusarium (ASV136), class Sordarioclamycetes (ASV689) 2G Alternaria (ASV44), (ASV70), Filobasidium (ASV374), order Chaetothyriales (ASV250) 2H abundance negatively correlated 3A). It worth noting ASV901 correlation taxon–environment community. consisted 60 230 3B), while 44 104 3B). EOC (connection number: 42) most important closely associated EOC, POC, ROC (with connection numbers 20, respectively) linear regression reflected variations bacteria. providing suitable explanation Figures S5 S6). These demonstrated effectively explained OC. Therefore, used mediators illustrate impacts partial least squares path (PLS-PM) 3C–F). main drivers regulated affecting traits total (0.51) S7A), (−0.56) S7C). Bacterial impacted 3D,F S12). effects (0.73) (−0.97) respectively S7B,D). Microbial various life strategies generate responses, [34]. Based mineralization growth rates, classified into r- (copiotrophic, fast-growing) K-strategists (oligotrophic, slow-growing) [35]. study, shifted S8), agreement previous [36, 37]. increase ratio extracellular enzyme activity corroborates result S9 S10). produce enzymes degrade [38-40]. An unstable conducive rapid r-strategists [40], driven [39]. species reduce availability [41]. indicate community, shifts K-strategists, strengthens stability. resources, resulting ASV [42, 43]. Ecological comprising ratios negative due interactions decreasing oscillations disturbed [44, 45]. stability fungi. modularity revealed limiting losing [46]. 2E,H suggests depths. fewer perturbations maintain number nodes, edges, correlations, indicating tended stabilize stage. other generally pools [47]. Consequently, factor communities. suggest increases Clarifying [48]. dominated 2A−D). niche-based theory states structure [14]. Stronger extreme, low-resource general phenomenon [13], explains (lower βNTI) supports first hypothesis. Homogeneous selection usually determined similar conditions exerted significant forces, less expected happen chance [49]. despite still dominating consistent current views, advancement supply under weak Extreme pH acts strict filter phylogenetic clustering, regardless successional age, [50, 51]. we difference small S11), thought caused slow shift processes. importance suddenly 2A,B), related nutrients such PLS-PM driving mechanisms 3C–F S7), confirmed second an applied affects [26]. controlling they [42]. study suggested paramount increase, diminishes. βNTI supported observation pathogenic rhizosphere, decrease benefits maintenance rhizosphere [52, 53]. recognized beneficial bacterium aid pathogen resistance, Xanthomonadaceae, ensure healthy [54]. assembly. Interactions common facilitating 55]. 3C–F), conclusion attributed Some volatiles released antagonistic [56], decomposition [57]. summary, OC, regulating thereby process. illustrated fractions, Given key rather sequences. neutral hypothesis [23], highlighting non-negligible determining directly tested laboratory, so validation through controlled experiments required confirm relationship. new targeted therapy indicator microenvironment. examined cultured metagenomic metatranscriptomic approaches future studies. show drove taxa. addition, Taken together, provides insights link over long scales. Jingwei Shi Lin Yang conceived supervised study. Jiwei Li established experimental sites. Liao collected samples analyzed data. Shuo Jiao, Zhouping Shangguan, Lei Deng assisted data analysis. wrote manuscript input authors. National Natural Science Foundation China (42277471, 42307578, U2243225), Key Development Program Shaanxi Province (2021ZDLSF05-02), Funding Top Young Talents Ten Thousand Plan (2021) Forestry Grassland Administration (2020132601). authors declare no conflict interest. support findings available corresponding author upon reasonable request. DNA sequences generated Center Biotechnology Information's Gen-Bank database project accession PRJNA1022789 PRJNA1023009. scripts saved GitHub https://github.com/Shijingweisjw/iMETA-R-code. Materials (figures, tables, scripts, graphical abstract, slides, videos, Chinese translated version, updated materials) online DOI iMeta http://www.imeta.science/ Please note: publisher responsible any supporting information supplied Any queries (other missing content) directed article.

Язык: Английский

Процитировано

33

Unlocking the potential of soil microbes for sustainable desertification management DOI
Waqar Islam,

Fanjiang Zeng,

Modhi O. Alotaibi

и другие.

Earth-Science Reviews, Год журнала: 2024, Номер 252, С. 104738 - 104738

Опубликована: Март 8, 2024

Язык: Английский

Процитировано

12

Elevation Influences Belowground Biomass Proportion in Forests by Affecting Climatic Factors, Soil Nutrients and Key Leaf Traits DOI Creative Commons
Xing Zhang, Yun Wang, Jiangfeng Wang

и другие.

Plants, Год журнала: 2024, Номер 13(5), С. 674 - 674

Опубликована: Фев. 28, 2024

Forest biomass allocation is a direct manifestation of biological adaptation to environmental changes. Studying the distribution patterns forest along elevational gradients ecologically significant for understanding specific impacts global change on plant resource strategies. While aboveground has been extensively studied, research belowground remains relatively limited. Furthermore, and driving factors proportion (BGBP) are still unclear. In this study, we investigated influences climatic factors, soil nutrients, key leaf traits pattern BGBP using data from 926 forests at 94 sites across China. were calculated root depth 50 cm. Our findings indicate considerable variability in macro scale, showing increasing trend (p < 0.01). significantly decreases with temperature precipitation increases annual mean evapotranspiration (MAE) It phosphorus content pH Key (leaf nitrogen (LN) (LP)) positively correlated BGBP. Climatic (R2 = 0.46) have strongest explanatory power variation elevations, while 0.10) 0.08) also play roles. Elevation directly indirectly through influencing such as climate conditions, nutrient availability, traits, effects being more pronounced than indirect effects. This study reveals controlling forests’ gradients, providing vital ecological insights into impact strategies offering scientific guidance ecosystem management conservation.

Язык: Английский

Процитировано

11

Arbuscular mycorrhizal fungal interactions bridge the support of root‐associated microbiota for slope multifunctionality in an erosion‐prone ecosystem DOI Creative Commons
Tianyi Qiu, Josep Peñuelas, Yinglong Chen

и другие.

iMeta, Год журнала: 2024, Номер 3(3)

Опубликована: Март 25, 2024

Abstract The role of diverse soil microbiota in restoring erosion‐induced degraded lands is well recognized. Yet, the facilitative interactions among symbiotic arbuscular mycorrhizal (AM) fungi, rhizobia, and heterotrophic bacteria, which underpin multiple functions eroded ecosystems, remain unclear. Here, we utilized quantitative profiling ecological network analyses to explore interplay between diversity biotic associations root‐associated multifunctionality across an slope a Robinia pseudoacacia plantation on Loess Plateau. We found explicit variations different positions, associated with shifts limiting resources, including phosphorus (P) moisture. To cope P limitation, AM fungi were recruited by R. , assuming pivotal roles as keystones connectors within cross‐kingdom networks. Furthermore, facilitated assembly composition bacterial rhizobial communities, collectively driving multifunctionality. association rhizobia promoted through enhanced decomposition recalcitrant compounds, improved mineralization potential, optimized microbial metabolism. Overall, our findings highlight crucial fungal‐centered functional delivery landscapes, providing valuable insights for sustainable restoration ecosystems erosion‐prone regions.

Язык: Английский

Процитировано

11