Ecological Indicators最新文献

{"title":"Quantifying the effects of driving factors and runoff sensitivity on runoff variation based on the Budyko equation","authors":"Ling Jia,&nbsp;Zuirong Niu,&nbsp;Dongyuan Sun,&nbsp;Shuanghe Liang","doi":"10.1016/j.ecolind.2025.113555","DOIUrl":"10.1016/j.ecolind.2025.113555","url":null,"abstract":"<div><div>Changes in driving factors can directly impact runoff variation and indirectly alter it through the runoff sensitivity coefficients. This study has broken through the problem of ignoring the dynamic change of runoff sensitivity coefficients in previous studies, and attributed the runoff change to runoff sensitivity coefficients and driving factors. The contribution rate of runoff sensitivity coefficients to runoff change was quantified based on the improved Budyko equation. The results showed that: (1) From 1960 to 2022, the annual runoff of the main rivers in Gansu Province decreased from the southeast to the northwest, with a range of 9.1 mm- 309.6 mm. The number of significantly reduced rivers accounted for 75 %. The mutation years of annual runoff were mainly concentrated between 1970 and 2010. (2) From 1960 to 2022, the annual precipitation decreased from southeast to northwest, the annual potential evapotranspiration increased from southeast to northwest, and the annual temperature decreased from northeast to southwest. Land use conversion was frequent between 1980 and 2020, with a total conversion area of 30 %. (3) The runoff sensitivity coefficients had spatial and temporal heterogeneity. Precipitation and the characteristic parameters of the underlying surface were the main driving factors for the change of runoff sensitivity coefficients in most rivers. (4) In addition to the Dang River, Shiyang River, and Datong River, the primary factor contributing to the alteration in runoff in the remaining nine rivers was the impact of runoff sensitivity coefficients. Human activities were the main reason for the change of runoff in other rivers except for the Shule River, Dang River, and Heihe River Basin. The findings contribute to grasping the response of streamflow alterations to the driving factors and offer a new insight to effectively understand the mechanism of runoff variation under the changing environments.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113555"},"PeriodicalIF":7.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tritium distribution in environmental compartments of the impact zone of radioactively contaminated areas","authors":"Natalya Larionova,&nbsp;Lyubov Timonova,&nbsp;Anna Toporova,&nbsp;Almira Aidarkhanova","doi":"10.1016/j.ecolind.2025.113567","DOIUrl":"10.1016/j.ecolind.2025.113567","url":null,"abstract":"<div><div>Tritium (³H) remains a prominent radionuclide detected in notable quantities in all environmental compartments of the Semipalatinsk Test Site (STS). This study presents data describing the levels of ³H travel in areas of the impact zones of radioactively contaminated STS locations — the Degelen site. Water, soil, sediments, air, and fluorite ore (Karadzhanly deposit product) ³H activity concentrations (including the speciation) were measured using liquid scintillation with spectrometric equipment “TRI-CARB 2900 TR” (PerkinElmer, USA). Plant samples were measured using “QUANTULUS 1220” (PerkinElmer, USA). Plant samples were measured using “QUANTULUS 1220” (PerkinElmer, USA). The high values were set in free water ³H in plants (TFWT) – up to 41 kBq/kg, in soils and bottom sediments (TSAW) – 29 and 26 kBq/kg, respectively. The main source of ³H entering the environmental components is groundwater – up to 78 kBq/kg. Annual effective internal dose from ³H to personnel during operations at the Karadzhally fluorite deposit does not exceed Standards.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113567"},"PeriodicalIF":7.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attribution and scarcity analysis of blue and green water resources in a river basin under climate and environmental change","authors":"Yang Liu ,&nbsp;Zhaoyang Zeng ,&nbsp;Chengguang Lai ,&nbsp;Sijing He ,&nbsp;Jie Jiang ,&nbsp;Zhaoli Wang","doi":"10.1016/j.ecolind.2025.113574","DOIUrl":"10.1016/j.ecolind.2025.113574","url":null,"abstract":"<div><div>Water resources are pivotal for sustaining human development. Understanding the variations and driving mechanisms of blue and green water resources is essential for the effective management and planning of regional water resources. Based on land use and land cover (LULC) data from 1980, 2000, and 2015, three SWAT models were developed for the Hanjiang River Basin (HRB), and five simulation scenarios were designed to estimate the spatiotemporal evolution, driving factors, and scarcity of blue water (BW) and green water (GW). The results indicate that BW is more abundant in the northern HRB, while GW is more concentrated in the south. The green water coefficient ranges from 0.39 to 0.60. In HRB, climate change is the primary driver of variations in BW and GW, with relative contributions of 72.03–79.49% and 50.79–52.25%, respectively. Among different LULC types, forest and cropland are significant drivers of both BW and GW changes. The contribution of urban land is higher in the second period (2000–2015) than in the first period (1975–2000). BW is strongly driven by precipitation and negatively affected by potential evapotranspiration (PET), while GW is primarily influenced by PET. From 2003 to 2016, the HRB experienced moderate blue water scarcity (average of 1.16) and moderate green water scarcity (average of 0.70). The Falkenmark Index for the HRB ranges from 500 to 1700, with an average of 1126.21, indicating prevailing water stress and water scarcity. Both blue and green water scarcity are mainly affected by precipitation, PET, and the normalized difference vegetation index (NDVI); PET exacerbates both, while precipitation and NDVI mitigate them. This study jointly assessed the attribution and scarcity of BW and GW and further analyzed the individual impacts of multiple climatic and LULC factors, offering a more nuanced perspective compared to previous studies. The findings provide a scientific basis for regional water resource management, agricultural water use optimization, and enhancement of ecosystem resilience under changing climate and land use conditions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113574"},"PeriodicalIF":7.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolutionary characteristics and influencing factors of disaster resilience in rural areas of ecologically fragile zones —Empirical evidence from the upper Minjiang River, China","authors":"Mingshun Xiang ,&nbsp;Zhenni Wu ,&nbsp;Xiaofeng Yang ,&nbsp;Jin Yang ,&nbsp;Jianhua Li ,&nbsp;Linsen Duan ,&nbsp;Yan Liu","doi":"10.1016/j.ecolind.2025.113535","DOIUrl":"10.1016/j.ecolind.2025.113535","url":null,"abstract":"<div><div>Geological disaster-prone areas have fragile ecological environments, complex human-land relations, and weak rural disaster prevention and mitigation capacities, so improving the resilience of villages to disasters is crucial to promoting sustainable development. The development of rural disaster resilience in mountains and the elements that influence it, however, have not received much attention in previous research. Therefore, this paper developed an index system for evaluating the resilience to rural disasters based on the PSR model, applied the system to the upper reaches of the Minjiang River, and revealed the spatial and temporal evolution characteristics of the rural disaster resilience using the Standard deviational ellipse model, Spatial heterogeneity analysis, and identifying the key influencing factors through the Obstacle degree model. The results show that: (1) the average disaster resilience index (DRI) of the study area increased by 4.52 % from 2000 to 2020, but the average DRI was lower than 0.33, and the disaster resilience capacity was generally low; the disaster resilience of the countryside was greatly affected by the Wenchuan Earthquake, and the turning point affected by the elevation gradient at approximately 3,500 m. (2) The center of gravity of disaster resilience in the countryside shifts from northwest to southeast, with a total migration of 58.88 km; the features of spatial differentiation of DRI are obvious, and Moran’s I increases from 0.803 to 0.819, with the degree of spatial accumulation being continuously strengthened. (3) GDP (0.31), medical aid capacity (0.22), ecosystem service capacity (0.17), electricity consumption (0.16) and slope (0.10) are the key factors influencing the construction of disaster-ready resilience in the countryside of the study area, and the infrastructure should be improved and the ecosystem service capacity should be strengthened according to local conditions. The results of the study can provide decision support and reference for rural governance in the study area with similar regions, and promote the coordinated development of rural ecology-economy-society.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113535"},"PeriodicalIF":7.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vertical distribution patterns and potential activities of methanogenic and methanotrophic communities in permafrost peatlands of Greater Khingan Mountains","authors":"Anwen Liu ,&nbsp;Weiping Yin ,&nbsp;Dalong Ma ,&nbsp;Xu Wang ,&nbsp;Shuping Kan","doi":"10.1016/j.ecolind.2025.113539","DOIUrl":"10.1016/j.ecolind.2025.113539","url":null,"abstract":"<div><div>Peatlands are dominant sources of methane (CH₄), and warming-induced permafrost degradation alters vegetation composition and water table, which dramatically reshape the microbial-mediated CH₄ cycling processes, possibly resulting in strong positive feedbacks of carbon loss and climate change. It is essential to understand the biological mechanisms of CH₄ emission by peatlands for future climate projections. Here, we examined the vertical distribution patterns of methanogen and methanotroph community composition, abundance, and activities in three different peatlands along the peatland-forest ecotone transect of the Greater Khingan Mountains permafrost region in Northern China. The alpha diversity of methanogens and methanotrophs was higher in the transitional layer compared to the deep anoxic and upper oxic layers. Hydrogenotrophic methanogens were absolutely dominant in tussock peatland (TP), whereas methylotrophic methanogens increased in forested peatland (FP) and shrubby peatland (SP). Type II methanotrophs were dominant in FP and SP, while type I methanotrophs dominated in TP. Co-occurrence network analysis revealed that environmental filtering had a slight effect on methanogen communities, but the complexity and stability of methanotroph communities decreased from TP to FP. Potential methane production<!--> <!-->rates (MPR) and methane oxidation rates (MOR) reached<!--> <!-->a maximum in the deep anoxic and transitional layers, respectively, and <em>mcrA</em> gene abundance increased along the soil profiles, whereas <em>pmoA</em> displayed the opposite trend. Partial least squares path modeling (PLS-PM) analysis showed that abundance of <em>mcrA</em> and <em>pmoA</em>, as well as MOR, were all associated with soil water content (SWC) and dissolved organic carbon (DOC), while MPR was correlated with inorganic nitrogen content. These results provide unique insights into forecasting the response of microbial functional groups driving CH₄ cycling in peatlands to climate change in high-latitude permafrost regions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113539"},"PeriodicalIF":7.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Source trancing analysis of nitrogen in the upper reach of Xin’an River Basin based on SWAT model","authors":"Ai Wang ,&nbsp;Jiangyu Wang ,&nbsp;Benjie Luan ,&nbsp;Siru Wang ,&nbsp;Zhiguo Huo","doi":"10.1016/j.ecolind.2025.113554","DOIUrl":"10.1016/j.ecolind.2025.113554","url":null,"abstract":"<div><div>Non-point source nitrogen (N) pollution has presented significant challenges to the management of water resources and threatened environmental sustainability. The Xin’an River Basin is a crucial strategic water source in the Yangtze River Delta, and total nitrogen (TN) is the main pollution factor threatening the water quality in this region. This paper simulated the migration and transformation process of non-point source N pollution in the upper reaches of Xin’an River Basin based on SWAT model, and identified the main sources of TN through scenario analysis. The results indicated that the SWAT model accurately captured the rainfall-runoff processes and TN transport and transformation dynamics in the study area, with Ens and R² values exceeding 0.7 during both the calibration and validation periods. The annual TN load from hillslope into the rivers ranged from 7427.68 t to 16854.39 t during 2003–2018. The temporal variation of TN load was consistent with precipitation, while the spatial distribution was mainly affected by land use. Scenario simulation results revealed that atmospheric N deposition, fertilizer N application, and livestock N input represented the primary N sources in the area. It is noteworthy that, although atmospheric N deposition contributed a smaller input quantity in the model, its conversion rate (10.57 %) surpassed that of N fertilizer application (4.11 %) and livestock N input (9.41 %). Meanwhile, the reduction of atmospheric N deposition has a more significant effect on TN load mitigation and TN concentration at the outlet section than the reduction of fertilizer N application, especially during normal water years. The analysis highlighted that the trend of TN concentration variation at the outlet under different scenarios and hydrological conditions further underscored the importance of optimizing N management strategies based on hydrological years. These findings offer critical insights and a robust scientific basis for the effective management of non-point source N pollution in the upper reaches of the Xin’an River.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113554"},"PeriodicalIF":7.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Importance of the antecedent environmental factors’ memory effects on the temporal variation of terrestrial gross primary productivity","authors":"Weihua Liu ,&nbsp;Lili Feng ,&nbsp;Zhongen Niu ,&nbsp;Yan Lv ,&nbsp;Mengyu Zhang","doi":"10.1016/j.ecolind.2025.113558","DOIUrl":"10.1016/j.ecolind.2025.113558","url":null,"abstract":"<div><div>Quantitative estimation of temporal variation in ecosystem productivity is crucial for assessing the stability and sustainability of ecosystem carbon sinks. However, current assessments of temporal variation of gross primary productivity (GPP) suffer from inaccuracies due to oversight of the memory effect of GPP on antecedent environmental and vegetation changes. By introducing memory effect into a time-dependent deep learning model, we investigated the responses of GPP to antecedent environmental and vegetation factors, and further simulated and analyzed the temporal trend and interannual variation of GPP at site and spatial scales. Our results indicate that (i) incorporating memory effect significantly improves the explanatory power of environmental and vegetation factors on GPP magnitude, trend, and interannual variation compared to the model ignoring memory effect; (ii) the memory effect length of GPP response to antecedent environmental and vegetation factors varies across different ecosystems, ranging from 4 to 11 months. Precipitation has a longer cumulative effect on GPP compared to temperature, shortwave radiation and VPD (Vapor Pressure Deficit) in most ecosystems. The impact of NDVI (Normalized Difference Vegetation Index) on GPP was stronger than environmental variables, emphasizing the significance of vegetation state in GPP simulation; (iii) the global terrestrial ecosystem GPP estimated by the deep learning model considering memory effect showed an increasing trend and significant interannual variation from 1983 to 2015. This study enhanced the understanding on the driving mechanisms of antecedent environmental and vegetation factors on GPP and provided a reference for modeling of carbon cycle process.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113558"},"PeriodicalIF":7.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting current and future spatial patterns of nature’s contributions to people from species distribution models","authors":"P.L. Rey ,&nbsp;A. Adde ,&nbsp;N. Külling ,&nbsp;B. Petitpierre ,&nbsp;V. Vittoz ,&nbsp;A. Lehmann ,&nbsp;A. Guisan","doi":"10.1016/j.ecolind.2025.113528","DOIUrl":"10.1016/j.ecolind.2025.113528","url":null,"abstract":"<div><div>The degradation of climate and biodiversity are two major crises humans are facing and for which rapid action is needed. Both crises are partially linked and susceptible to threaten nature’s contribution to peoples (NCPs). Hence, it is essential to find efficient strategies for protecting key areas for both biodiversity and NCPs for a sustainable future. Studies at various scales have already used species distributions and NCP maps to identify the most optimal areas for safeguarding both components. Yet, an evaluation of how changes in species distributions could affect NCPs was still lacking. Here, based on a recently established table of relationships between more than 2,000 native vertebrate and tracheophyte species and 17 NCPs, we propose and illustrate a novel approach to predict the spatial distribution of NCPs from individual species predictions for the current period and four future time-scenarios in the Western Swiss Alps. Predictions of the different NCPs and their categories show varying degrees of spatial correlation, with some NCPs revealing very distinct patterns across time-scenarios. An overall decrease of NCP value is predicted for each future time-scenario. According to our results, NCPs would not increase at higher elevations in the subalpine and alpine belts and would remain high at mid-elevations in the montane belt along river valleys. Our study highlights the potential to predict NCPs directly from species predictions in biodiversity assessments, allowing a better understanding and a better anticipation of the way species contribute to NCP and human well-being. The species-based NCP prediction approach we propose constitutes a major new asset to improve spatial conservation planning, but the development of such species-NCP tables should continue, and larger databases be compiled.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113528"},"PeriodicalIF":7.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regional ecological risk assessment for Guangxi (China) based on entropy method and the pressure-capital-vulnerability-response model","authors":"Hui Wang","doi":"10.1016/j.ecolind.2025.113542","DOIUrl":"10.1016/j.ecolind.2025.113542","url":null,"abstract":"<div><div>Regional ecological risk assessment (RERA) is an important macroscopic environmental management tool and can provide specific approaches for ecological protection and sustainable development. In this research, through incorporating entropy method and pressure-capital-vulnerability-response (PCVR) model into RERA flowchart, the cause-effect-response relationship between human and environment was manifested within RERA context. Among the PCVR-RERA framework, production-living socioeconomic activities constitute human-caused ecological risk source pressures whereas land use ecology function forms the ecological risk receptor capital. Besides, circular economy (CE)-pertinent indexes were acquired for the characterization purpose of human response risk in coping with ecological issues and this CE-based human response risk manifestation scheme was an important improvement for RERA research. As for vulnerability, apart from slope, vegetation, soil and dryness factors, karst distribution index was also incorporated into the expression of final comprehensive eco-environmental vulnerability of Guangxi. The results of the study showed that: (1) the southeast part of Guangxi had higher human-caused ecological risk source pressure and lower integrated eco-environmental vulnerability, whereas the vast west and northeast parts had lower human-related ecological risk source pressure and higher comprehensive eco-environmental vulnerability. (2) Most developed cities within Guangxi, such as Liuzhou, Nanning, Guilin and Beihai, had lower human response risk whereas the less developed cities, like Baise, Chongzuo and Hechi, had higher human response risk, meaning that within developed cities, CE’s development was more satisfied. (3) Within Guangxi, the central and western parts had higher final ecological risk because of higher eco-environmental vulnerability and human response risk there. On the contrary, the Hezhou City had the lowest final ecological risk owing to its lower human production-living disturbance and eco-environmental vulnerability level. At last, this research made clear the foci of regional ecological risk management (RERM) for Guangxi, e.g., mitigating human response risk through reinforcing CE development with respect to natural resources’ reducing, reusing, and recycling, and enhancing karst ecological restoration to cope with anthropogenic and natural influences in western karst regions of Guangxi. All these RERM countermeasures will be helpful for the constructions of circular society and ecological civilization within Guangxi, China.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113542"},"PeriodicalIF":7.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Land use types and soil pH co-mediate bacterial community assembly processes: Application of the neutral community model and null model to determine stochastic and deterministic processes in a subtropical basin, China","authors":"Jinquan Huang ,&nbsp;Yujie Qi ,&nbsp;Die Chen ,&nbsp;Jigen Liu ,&nbsp;Li Li ,&nbsp;Wenjie Zhang ,&nbsp;Xiaolan Liu ,&nbsp;Weiwen Li ,&nbsp;Zhichao Mao","doi":"10.1016/j.ecolind.2025.113561","DOIUrl":"10.1016/j.ecolind.2025.113561","url":null,"abstract":"<div><div>Land use regimes strongly impact bacterial microbial communities. However, the ecological processes shaping bacterial community assembly under various land use types and the factors altering the balance between these processes remain poorly understood. To address these knowledge gaps, we investigated bacterial community assembly processes in four different land use types (paddy fields, forests, sloping fields and garden plots) within the Dongting Lake Basin (a subtropical region in China) using the neutral community model (NCM), null model, and high-throughput sequencing datasets. Among the tested land use types, bacterial communities in paddy fields exhibited the highest species richness (mean Sobs: 3695±495) and diversity (mean Shannon: 6.933±0.241), and had a significantly higher stochastic process contribution (71.9%) as well as greater migration rates (Nm=4922). In contrast, bacterial communities in forests and sloping fields were mainly governed by deterministic processes (50.1% and 56.1%, respectively), especially variable selection. Garden plots exhibited intermediate characteristics, with stochastic processes (64.7%) dominated by homogenizing dispersal. Redundancy analysis (RDA) identified soil pH as the strongest environmental factor influencing bacterial community structure (57.0% explanatory power, p&lt;0.01). Under acidic soil conditions (pH≤ 5.5), microbial assembly processes were more stochastic and driven primarily by homogenizing dispersal, whereas under neutral conditions (pH 5.5–8.5), deterministic processes, especially variable selection, dominated. In summary, homogenizing dispersal and variable selection primarily drive soil bacterial community assembly, with their relative importance being co-mediated by land use types and soil pH. By revealing the key mechanisms regulating soil bacterial assemblages under different agricultural practices and environmental conditions, our study offers farmers with strategies to enhance soil health through informed land management, assists policymakers in devising effective agricultural policies, and underscores the broader societal significance of conserving agroecosystems for environmental and economic stability.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113561"},"PeriodicalIF":7.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}