Ecological Indicators最新文献

{"title":"Downscaled GRACE data reveals anthropogenic dominance in groundwater storage decline across China’s oases","authors":"Bochao Cui ,&nbsp;Dongping Xue ,&nbsp;Dongwei Gui ,&nbsp;Qi Liu ,&nbsp;Sameh Kotb. Abd-Elmabod ,&nbsp;Xiaonan Chen ,&nbsp;Peter Goethals ,&nbsp;Philippe De Maeyer","doi":"10.1016/j.ecolind.2025.114209","DOIUrl":"10.1016/j.ecolind.2025.114209","url":null,"abstract":"<div><div>Groundwater is vital for sustaining China’s oases, yet climate change, population growth, urbanization, and oasis expansion threaten these fragile ecosystems. To address limited understanding of groundwater dynamics, we combined GRACE/GRACE-FO satellite data with machine learning to generate high-resolution (0.1°) maps of total water storage (TWS) and groundwater storage (GWS) in China’s oases. Our spatiotemporal random forest model (RFst) produced monthly TWS anomalies (TWSA) and GWS anomalies (GWSA) consistent with original GRACE data (0.5° resolution; cross-validation R² = 0.97, RMSE = 0.59). Downscaled data improved agreement with groundwater levels from 103 monitoring wells, increasing wells with strong correlations (&gt;0.6) by 20 %. From 2002 to 2023, both TWS and GWS declined significantly (−5.29 mm/year and − 5.49 mm/year, respectively), with GWS accounting for 84 % of TWS loss. A two-stage generalized additive model (GAM) revealed that 78–90 % of GWS decline resulted from human activities—primarily population growth, cropland expansion, and urbanization. In contrast, oases near humid regions (e.g., Inner Mongolia, Ningxia) showed fluctuating GWS trends, where climate and human factors explained less variability (R² = 0.62–0.64), suggesting localized complexities. Spatial heterogeneity in groundwater depletion highlights varying pressures: arid-region oases (Xinjiang, Qinghai) faced severe declines driven by human demand, while transitional zones exhibited mixed responses. These findings underscore the need for region-specific water management strategies to address climate-human interactions. By enhancing resolution and validation, our study clarifies groundwater trends and provides a scientific foundation for sustainable oasis development in Northwest China’s arid regions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114209"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119016","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":"Strategies for regional environmental health management based on ecosystem services","authors":"Xuan Dong ,&nbsp;Qianwen Zhan ,&nbsp;Yushang Wang ,&nbsp;Xiaojia Wang ,&nbsp;Chuanfu Zang","doi":"10.1016/j.ecolind.2025.114223","DOIUrl":"10.1016/j.ecolind.2025.114223","url":null,"abstract":"<div><div>Ecosystems enhance physical and mental health through multidimensional services, including providing clean resources, climate regulation, and creating cultural-recreational spaces, thereby establishing synergistic mechanisms between ecological systems and environmental health. Guangdong is the largest economic province in China. Still, with the continuous growth of the economy and population, its environmental health problems are becoming more and more serious. Incorporating ecosystem services assessments into environmental health governance can streamline multi-factor management challenges and elevate environmental stewardship. The results show that: (1) Ecosystem services significantly affect environmental health risks. When the coordination degree among Ecosystem services exceeds 0.4, the decline rate of certain environmental health risks accelerate; around a coordination degree of 0.5, some risks are minimized. (2) Over the past two decades, the difference in average annual PM2.5 concentration between the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and the forested northern Guangdong reached 10%. Vegetation degradation resulting from urban expansion in the Shantou-Chaozhou-Jieyang, Zhanjiang-Maoming-Yangjiang, and GBA urban agglomerations has intensified the urban heat island effect, highlighting the need to improve the extent and quality of forest and vegetation coverage. (3) There is a pronounced spatial overlap between Ecosystem services cold spots and environmental health risk hotspots within the GBA. The results offer novel insights and references for environmental health research, provide a theoretical foundation for environmental health management in Guangdong and other comparable regions, and contribute to achieving sustainable development goals.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114223"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119018","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":"Modeling the response of Microcystis aeruginosa blooms to wind-induced turbulence in a stratified reservoir: Biomass and vertical distribution perspectives","authors":"Na Li,&nbsp;Xueping Gao,&nbsp;Bowen Sun","doi":"10.1016/j.ecolind.2025.114238","DOIUrl":"10.1016/j.ecolind.2025.114238","url":null,"abstract":"<div><div>Harmful algal blooms caused by <em>Microcystis</em> are a global ecological challenge. While wind-induced turbulence is a primary driver of algal spatial migration and biomass accumulation, existing studies on blooms in thermally stratified waters have predominantly focused on relationships between stratification indices and bloom dynamics, neglecting the pivotal role of turbulence in these processes. The spatiotemporal scale mismatch between turbulence and thermal stratification poses new challenges for investigating their synergistic effects on algae. This study focused on <em>Microcystis aeruginosa</em> (Kutzing) Kutzing (<em>M. aeruginosa</em>), the dominant species in algal blooms of the Daheiting Reservoir. It employed a cyanobacterial bloom model coupling turbulence-driven physical and physiological processes to investigate the spatiotemporal dynamics of <em>M. aeruginosa</em> biomass and vertical distribution in stratified waters, examining their responses to initial biomass, stratification intensity, mixed layer depth, and wind events. The results showed that turbulence nonlinearly affected the biomass of <em>M. aeruginosa</em>, with a maximum biomass increment occurring at a turbulent dissipation rate of 2.69 × 10⁻⁴ m²/s³. The critical turbulent dissipation rate for uniform distribution (Morisita’s index &lt; 1) was positively correlated with stratification intensity, but negatively correlated with mixed layer depth. Additionally, the critical turbulent dissipation rate increases with biomass, and when biomass exceeded 2.5 × 10⁵ cells/mL, <em>M. aeruginosa</em> consistently exhibited aggregated vertical distribution. The impacts of stratification intensity and mixed layer depth on biomass were contingent upon the initial biomass: stronger stratification and shallower mixed layers promoted biomass accumulation under low initial biomass, whereas the opposite held under high initial biomass. This study elucidates the synergistic mechanisms through which thermal stratification and wind-induced turbulence drive <em>M. aeruginosa</em> blooms, providing novel insights for harmful algal bloom control in stratified waters.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114238"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119075","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":"A global sea turtle climate vulnerability assessment","authors":"Matthew D. Lettrich ,&nbsp;Dorothy M. Dick ,&nbsp;Christina C. Fahy ,&nbsp;Roger B. Griffis ,&nbsp;Heather L. Haas ,&nbsp;T. Todd Jones ,&nbsp;Irene K. Kelly ,&nbsp;Dennis Klemm ,&nbsp;Ann Marie Lauritsen ,&nbsp;Christopher R. Sasso ,&nbsp;Barbara Schroeder ,&nbsp;Jeffrey A. Seminoff ,&nbsp;Carrie M. Upite ,&nbsp;Camryn Allen ,&nbsp;Paolo Casale ,&nbsp;Mariana M.P.B. Fuentes ,&nbsp;Alexander Gaos ,&nbsp;Mark Hamann ,&nbsp;Lauren Kurpita ,&nbsp;Michael J. Liles ,&nbsp;Jeanette Wyneken","doi":"10.1016/j.ecolind.2025.114143","DOIUrl":"10.1016/j.ecolind.2025.114143","url":null,"abstract":"<div><div>Climate change presents challenges to the conservation of sea turtle populations that are already experiencing multiple cumulative anthropogenic stressors including persistent stressors such as harvest, bycatch, and habitat destruction. To inform management and conservation decision-making, we applied a climate vulnerability assessment (CVA) using expert elicitation to provide a qualitative assessment of vulnerability, exposure, and sensitivity to climate change of 49 sea turtle management units (i.e., Regional Management Units and Distinct Population Segments). Eighteen sea turtle experts scored climate exposure (projected changes in climate and ocean conditions within the current population distribution compared with historical conditions) and climate sensitivity (using life history traits as proxies). Results indicate that all management units have either very high (88% of units) or high (12% of units) exposure to climate change, with the most influential factors across all regions being temperature, ocean acidification, dissolved oxygen, and sea level rise. Forty-three percent of the management units have very high sensitivity to climate change, 49% have high sensitivity, and 8% moderate sensitivity. Key factors for sensitivity included nest/egg sensitivity to temperature, in-water habitat specificity, abundance, and trend in population abundance, although primary drivers varied by species and region. The resulting climate vulnerability score was very high for 88% of the management units, high for 10%, and moderate for 2%. This assessment quantified the vulnerability of individual sea turtle management units to climate change, identified data gaps to help guide research, and established a baseline for comparison with future sea turtle assessment efforts.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114143"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119078","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":"A review of the application of coral reef condition indicators in conservation planning","authors":"Madeline Davey ,&nbsp;Carissa J Klein ,&nbsp;Chris Roelfsema ,&nbsp;Caitlin D Kuempel ,&nbsp;Hugh Possingham","doi":"10.1016/j.ecolind.2025.114222","DOIUrl":"10.1016/j.ecolind.2025.114222","url":null,"abstract":"<div><div>Monitoring data have shown declines in the condition of coral reefs. However, it is unclear how such monitoring data are used to inform spatial conservation planning decisions to slow and prevent further declines. At least six of the Kunming–Montreal Global Biodiversity Framework Targets (1, 2, 3, 8, 14 and 21) would be improved if coral condition monitoring was better connected to spatial conservation planning. Here, we review published literature for coral condition monitoring in coral reef conservation planning to identify why, how, and which indicators are used to determine coral reef condition. Across 219 monitoring studies, we found 159 different indicators have been used to monitor coral reef condition. While 48% of the studies recommended the use of monitoring data to improve conservation outcomes, only 10% used condition data to inform a spatial conservation plan, and 14% used condition data to measure a plan’s impact. Although monitoring data are useful for improving conservation outcomes, they are rarely applied in conservation planning. By synthesising the existing data and protocols, we provide recommendations of how to address and change the current disconnect between coral reef monitoring and informing spatial actions focusing on data democratisation to see increased data in decision making.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114222"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109709","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":"Flow regulation mitigates drought-induced degradation of fish habitats in river-lake systems","authors":"Jiajian Qiu ,&nbsp;Saiyu Yuan ,&nbsp;Hongwu Tang ,&nbsp;Yilin Deng ,&nbsp;Carlo Gualtieri","doi":"10.1016/j.ecolind.2025.114243","DOIUrl":"10.1016/j.ecolind.2025.114243","url":null,"abstract":"<div><div>Extreme droughts are becoming increasingly frequent and severe worldwide, and river–lake systems respond in complex ways due to the intricate hydrodynamic coupling and competing interactions between fluvial and lacustrine components. Fish communities, as sensitive bioindicators, exhibit heterogeneous responses to these dynamics, further complicating drought-induced ecological impacts. Understanding these interconnected ecohydrological processes is crucial for developing effective ecological management strategies. This study investigated the full-cycle ecohydrological impacts of an unprecedented drought in the Yangtze River-Poyang Lake system, characterized by strong hydrological connectivity and high fish biodiversity. Fish community metrics and habitat suitability index (HSI) were used as diagnostic indicators. Multi-stage field surveys combined with hydrodynamic simulations and species-specific HSI assessments revealed that, drought onset led to highly constrained fish distributions and sharply declined fish connectivity within river–lake connecting channels, with the lacustrine side serving as a critical refuge and the fluvial side becoming a major bottleneck for river–lake fish connectivity. Despite initial habitat compression, the most severe degradation in HSI occurred post-drought, indicating ecological hysteresis. Species-level indicator responses varied: small-bodied opportunistic species showed rapid post-drought rebound, while large periodic strategists experienced prolonged declines, underscoring life-history-dependent vulnerability. Early-stage moderate flow regulation could jointly improve habitat suitability across all fish species by expanding the available hydraulic niche, whereas delayed interventions failed to reverse habitat degradation, highlighting the importance of threshold-based adaptive regulation (e.g., HSI &lt; 0.4). These findings demonstrate the utility of HSI-based thresholds and fish community traits as ecological indicators to support adaptive, timely flow regulation strategies in response to intensifying droughts.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114243"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119076","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":"Coupling analysis of resident well-being and ecosystem services under sustainable development goals: A case study of China’s coastal regions","authors":"Lina Ke ,&nbsp;Qingli Jiang ,&nbsp;Yao Lu ,&nbsp;Shilin Zhang ,&nbsp;Nan Lei ,&nbsp;Changkun Yin ,&nbsp;Quanming Wang ,&nbsp;Mei Gai","doi":"10.1016/j.ecolind.2025.114234","DOIUrl":"10.1016/j.ecolind.2025.114234","url":null,"abstract":"<div><div>Rapid economic development and social transformation have exacerbated the conflicts between ecological systems and human needs, making the scientific coordination of ecosystem services (ES) and resident well-being (RWB) critical for sustainable development. The study<!--> <!-->took 11 coastal regions in China (excluding Hong Kong, Macau, and Taiwan) as case studies, integrated the Millennium Ecosystem Assessment (MA), Sustainable Development Goals (SDGs), and Human Needs Theory (HNT), and introduced geospatial data to construct a multilevel RWB indicator system. The Equivalent Factor Method was improved to evaluate ecosystem service value (ESV), and the interactions between ES and RWB were examined by applying a Coupling Coordination Degree Model (CCD). Finally, tailored urban planning strategies were proposed for each coastal province based on a four-quadrant framework. The results revealed that: ① From 2000 to 2022, RWB values exhibited an upward trend overall, with Shanghai, Zhejiang, Jiangsu, and Tianjin performing at higher levels. Economically developed regions showed higher basic needs and health levels but relatively poorer environmental quality. Most provinces experienced a decline in education satisfaction, whereas Shandong and Guangdong performed better in social relationships. ② Forest and farmland dominated the land use in coastal regions. Temporally, ESV declined initially before increasing, with regulating services remaining dominant. Spatially, ESV exhibited a “south-high, north-low” pattern. ③Most coupling coordination degrees were antagonistic, with imbalances in Tianjin, Shanghai, and Hainan, and ES lagging behind RWB. Based on the results of systematic evaluation, the development status of coastal regions was categorized into orderly development (I), ES lagging (II), RWB lagging (III), and development lagging (IV). The study systematically investigates the interaction between RWB and ES, offering a practical example for regional sustainable development planning and providing a scientific foundation for achieving the sustainable development goal of harmonious coexistence between humans and nature in China’s coastal regions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114234"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119077","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":"Integrating ecosystem services and ecological sensitivity to assess ecological restoration potential and determine thresholds in the Wujiang River Basin, southwest China","authors":"Jiayi Lin ,&nbsp;Shiliang Liu ,&nbsp;Wanting Wang ,&nbsp;Ziang Tian ,&nbsp;Yetong Li ,&nbsp;Gang Wu","doi":"10.1016/j.ecolind.2025.114233","DOIUrl":"10.1016/j.ecolind.2025.114233","url":null,"abstract":"<div><div>Understanding the ecological restoration potential of a region and the thresholds of its influencing factors is essential for evaluating ecosystem quality, guiding ecological restoration initiatives, and facilitating regional sustainable development. This study employs an integrated approach combining entropy and catastrophe progression methods to evaluate the ecological restoration potential of the Wujiang River Basin across three dimensions: ecosystem services, ecological sensitivity, and ecological quality. The results indicate that the ecological restoration potential exhibits a distinct spatial gradient, with higher values in the southwest and lower values in the northeast. Notably, the Guiyang-Qingzhen and Ertang-Langdai ecological functional areas, located in the central and western regions, have restoration potential values greater than 0.9. Using the constraint line method, we identified thresholds for key drivers of restoration potential: temperature (14.2 °C), annual precipitation (980 mm), elevation (1,757 m), and fractional vegetation cover (24 %). These insights clarify spatial patterns and limiting factors of ecological restoration potential within the basin. Based on these results, we propose targeted restoration measures for the major ecological areas of the basin, including natural forest conservation, soil and water conservation, rocky desertification mitigation, and pollution control. These recommendations aim to support basin-wide ecological protection and restoration, promote sustainable development, and enhance harmony between humans and nature.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114233"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119017","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":"Model residuals elucidate spatial effects on biomass of individual trees and their components in Pinus kesiya var. langbianensis forests from different origins","authors":"Chunxiao Liu ,&nbsp;Dapeng Luo ,&nbsp;Yong Wu ,&nbsp;Xiaoli Zhang ,&nbsp;Guoqi Chen ,&nbsp;Hongbin Luo ,&nbsp;Chi Lu ,&nbsp;Guangyu Zhu ,&nbsp;Guanglong Ou","doi":"10.1016/j.ecolind.2025.114196","DOIUrl":"10.1016/j.ecolind.2025.114196","url":null,"abstract":"<div><div>Understanding the spatial effects of biomass for individual tree and its components is essential for revealing stand spatial patterns and improving model accuracy. Yet using model residuals to reveal such effects has rarely been reported. This study aimed to i) evaluate the performance of biomass models for different biomass components across forest stands of different origins, and comparing the spatial autocorrelation and spatial heterogeneity of the model residuals. ii) compare the spatial patterns of the biomass itself with those of the corresponding model residuals. In this study, the ordinary least squares (OLS), spatial lag model (SLM), spatial error model (SEM), spatial Durbin model (SDM), and geographically weighted regression model (GWR) were applied to fit the biomass of individual tree components (wood, bark, branches, foliage) and AGB of <em>Pinus kesiya</em> var. <em>langbianensis</em> plantation and natural forest in Pu’er, Yunnan, China. Then, Moran’s <em>I</em> and the intra-group variance were calculated for biomass and model residuals to reflect the spatial autocorrelation and the spatial heterogeneity. Results indicated that the disparity in biomass fitting accuracy between the two origins was primarily contributed to by the bark, branches, and foliage. Biomass in the plantation exhibited stronger spatial autocorrelation than in the natural forest, while the residuals from the SEM and SDM showed relatively weaker spatial autocorrelation compared to other models. In contrast, biomass in natural forests showed higher spatial heterogeneity, which increased with lag distance and eventually stabilized. This pattern was better captured by the GWR. The results indicated that the residuals of biomass models effectively reflected the spatial structure of biomass, and that spatial regression models were able to accurately capture and explain this spatial structure. These findings enhance the understanding of spatial patterns in individual tree biomass and provide insights for improving biomass modeling and forest management.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114196"},"PeriodicalIF":7.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109711","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":"Revegetation of desert steppe soil enhances soil quality while decreasing microbial interdomain network stability","authors":"Zihao Li ,&nbsp;Gesangquzhen ,&nbsp;Xiaomeng Wang ,&nbsp;Ruoshi Ma ,&nbsp;Bingru Liu","doi":"10.1016/j.ecolind.2025.114232","DOIUrl":"10.1016/j.ecolind.2025.114232","url":null,"abstract":"<div><h3>Background</h3><div>Desert steppes and other arid and semi-arid ecosystems are highly susceptible to degradation. Revegetation has become a key strategy for improving soil quality and maintaining biodiversity. However, its effects on soil microbial diversity, community structure, and stability of microbial interdomain networks are still unknown, especially in arid restoration ecosystems. <strong>Methods:</strong> The study focused on Ningxia’s desert steppes, examining the influence of revegetation with three plants—<em>Sophora alopecuroides</em>, <em>Cynanchum hancockianum</em>, and <em>Artemisia ordosica</em>—on soil physicochemical properties, microbial diversity, and stability of microbial interdomain networks. High-throughput sequencing was employed in analysing the bacterial and fungal community characteristics of the soil. <strong>Results:</strong> The results indicated that revegetation has the potential to significantly increase soil nutrients and enzyme activities, with <em>C. hancockianum</em> providing the most improvement effects. Revegetated soils had lower microbial diversity relative to bare soils, and microbial communities were shifted to a copiotrophic microbial community structure dominated by Proteobacteria and Bacteroidetes. Furthermore, the stability of microbial interdomain networks in revegetated soil, particularly those influenced by <em>Cynanchum hancockianum</em>, was markedly decreased. <strong>Conclusions:</strong> The findings indicate that although vegetation restoration can improve soil quality, it also alters the dynamics of microbial communities and reduces network stability, emphasising the need for careful species selection and long-term monitoring in restoration practices.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114232"},"PeriodicalIF":7.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109712","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}