Ecological Indicators最新文献

{"title":"Climatic seasonality shapes insect community composition on the Mongolian Plateau","authors":"Kuanyan Tang ,&nbsp;Mian Gul Hilal ,&nbsp;Hongru Yue ,&nbsp;Xiaolong Ding ,&nbsp;Yifang Xing ,&nbsp;Jinming Zhao ,&nbsp;Yang Liu ,&nbsp;Hao Liu ,&nbsp;Zilong He ,&nbsp;Kejian Lin ,&nbsp;Ning Wang","doi":"10.1016/j.ecolind.2025.113595","DOIUrl":"10.1016/j.ecolind.2025.113595","url":null,"abstract":"<div><div>Insects, as key components of steppe ecosystems, play an essential role in maintaining biodiversity. However, while climate change is recognized as a major factor in steppe degradation and biodiversity decline, the specific mechanisms by which climatic seasonality impacts insect community structure and composition remain poorly understood. To explore this, we conducted a field survey of insect communities across 66 sample plots on the Mongolian Plateau, analyzing climate variables (e.g., annual precipitation, temperature), vegetation status (NDVI), and soil characteristics. Our results indicated that climate, particularly seasonal shifts in precipitation and temperature, were primary factors shaping insect communities. Specifically, precipitation – annual, wettest quarter and warmest quarter – significantly influenced insect abundance and community composition, while temperature seasonality and isothermality were the key drivers of diversity Margalef index. Meanwhile, vegetation status, represented by the NDVI, emerged as a critical factor for overall insect diversity. Moreover, our findings suggested that climate, vegetation, and soil factors collectively influence species richness, providing important insights for steppe biodiversity conservation. Understanding these relationships is essential for developing adaptive conservation strategies under changing climatic conditions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113595"},"PeriodicalIF":7.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067974","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":"Diversity patterns and trait-specific variations in soil nematode communities associated with Solidago invasion","authors":"Zsolt Tóth ,&nbsp;Kristóf Korponai","doi":"10.1016/j.ecolind.2025.113598","DOIUrl":"10.1016/j.ecolind.2025.113598","url":null,"abstract":"<div><div>Plant invasions substantially alter both aboveground and belowground communities. Invasive species modify habitats, directly and indirectly affecting soil biota and functions. Soil nematodes, the most diverse and abundant faunal groups in the soil food web, play a crucial role in shaping plant-soil feedback mechanisms.</div><div>Using a DNA metabarcoding approach, we conducted the first in-depth analysis to examine the relationship between nematode assemblages and the dominance of the aggressive exotic species, Canadian goldenrod (<em>Solidago canadensis</em>), by comparing invaded and uninvaded (control) plot pairs in a protected urban meadow over two consecutive growing seasons.</div><div>In <em>Solidago</em> stands, nematode taxonomic diversity declined, particularly at the ASV level, with herbivores and fungivores contributing most to this decline. In contrast, bacterivore genus richness was higher in invaded soils compared to control soils. Although overall functional diversity declined, herbivorous nematodes were functionally more diverse in invaded soils. Community composition differed significantly between invaded and uninvaded soils, with influences from soil moisture and season. Bacterivore frequency (mainly enrichment opportunists) was higher, while herbivore frequency (particularly facultative endoparasites) was lower in invaded soils. These changes led to a simplification of network structure, reducing herbivore connections and increasing the roles of bacterivores and predator-omnivores.</div><div>Our results suggest that the invasion strategy of <em>S. canadensis</em> relies mainly on two key plant-soil feedback mechanisms: (1) release from herbivory pressure, and (2) enhanced nutrient acquisition or supply via bacterial pathways. By integrating taxonomic, trait-based, and network approaches, this study highlights how plant invasions can reshape belowground biodiversity and alter ecosystem functioning.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113598"},"PeriodicalIF":7.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071530","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":"Identification of priority areas for ecological restoration based on ecological security patterns and ecological risks: A case study of the Hefei Metropolitan Area","authors":"Xiaonan Niu ,&nbsp;Jing Zhang ,&nbsp;Shangxiao Wang ,&nbsp;Leli Zong ,&nbsp;Mo Zhou ,&nbsp;Ming Zhang","doi":"10.1016/j.ecolind.2025.113590","DOIUrl":"10.1016/j.ecolind.2025.113590","url":null,"abstract":"<div><div>Intensifying human activities have triggered significant ecological degradation, necessitating innovative approaches to ecosystem restoration. This study introduces a novel integrated methodology combining Ecological Security Patterns (ESP) and Ecological Risk Assessment (ERA) to identify priority ecological restoration areas in the Hefei Metropolitan Area. By synthesizing these complementary approaches, we overcome the limitations of individual methods and establish a comprehensive framework for prioritizing ecological restoration. We construct a complex ecological network comprising 36 source areas spanning 8313.96 km² and 92 interconnected ecological corridors extending 24,489.17 km. We have identified 73 ecological restoration nodes and 19 key restoration areas covering 544.45 km², predominantly located at critical ecological junctions. The study categorizes restoration zones into five distinct types: river and lake wetland restoration, mine environment remediation, urban ecological landscape reconstruction, ecological corridor connectivity restoration, and soil and water conservation improvement. Combining ESP with ERA allows for the identification of regions most vulnerable to ecological damage while preserving key ecological functions and networks. Through the identification of urban ecological conflict zones, this study provides a strategic framework for enhancing ecosystem resilience and promoting sustainable urban development. This research is significant because of its potential to address the urgent need for effective ecological restoration strategies in rapidly urbanizing regions, offering a systematic approach to balance ecological preservation with urban development.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113590"},"PeriodicalIF":7.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071531","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":"Exploring lake ecological water levels via the Lake Ecological Comprehensive Evaluation Index (LECEI) approach in conjunction with terrestrial and aquatic environments","authors":"Weifeng Yue ,&nbsp;Changming Cao ,&nbsp;Qingqing Fang ,&nbsp;Guoqiang Wang ,&nbsp;Ziyi Zan ,&nbsp;Kun Wang ,&nbsp;Tingxi Liu","doi":"10.1016/j.ecolind.2025.113582","DOIUrl":"10.1016/j.ecolind.2025.113582","url":null,"abstract":"<div><div>Determining ecological water levels crucially lies in elucidating the relationship between water levels and ecological environmental quality, which are essential for the sustainable development of lake ecosystems. However, the response of lake environmental quality to water level fluctuations remains incompletely understood. This study employed forward and inverse modelling of remote sensing data at large spatiotemporal scales to propose a novel comprehensive evaluation framework, the Lake Ecological Comprehensive Evaluation Index (LECEI), which characterises lake environmental quality by integrating the terrestrial (lakeshore zones that are assessed using the remote sensing ecological index, RSEI) and aquatic (water bodies that are assessed using lake water quality indicators, LWQIs) indicators. The upper limit, lower limit, and optimal ecological water levels were subsequently quantitatively determined on the basis of the nonlinear relationship between the water level and the LECEI. This study revealed correlation coefficients between the LECEI and water levels ranging from 0.77 to 0.79 for Wuliangsuhai Lake from 1990 to 2017. Additionally, the upper and lower ecological water levels were determined to be 1018.77 m and 1019.23 m, respectively, by an analysis of the probability density distribution of the LECEI in conjunction with its nonlinear relationship with the water level. Furthermore, this study examined the relationship between the LECEI and water level elevation and identified 1019.13 m as the optimal ecological water level for maintaining lake environmental quality, indicating an inflection point from a slow to a significant increase in the LECEI. By employing this novel comprehensive evaluation framework, this study successfully determined the ecological water levels of the lake, thereby supporting the maintenance of health and sustainable development of lake ecosystems.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113582"},"PeriodicalIF":7.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067978","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":"Machine learning classification and driver analysis of diel variability in dissolved oxygen in Taihu Lake","authors":"Tingting Luo ,&nbsp;Yehui Zhang","doi":"10.1016/j.ecolind.2025.113593","DOIUrl":"10.1016/j.ecolind.2025.113593","url":null,"abstract":"<div><div>Dissolved oxygen (DO) plays a crucial role in aquatic ecosystems, yet its diel variations are influenced by complex environmental interactions. This study analyzed high-frequency DO data from Sanshandao Island in Taihu Lake (2020–2022) to classify diel DO variation patterns and identify key drivers. Using K-means clustering, we identified three distinct types: Type I (warm, humid, rainy, moderate DO fluctuations, late DO peaks, influenced by photosynthesis and precipitation), Type II (warm, dry, high radiation, largest diel DO amplitude, early peaks, photosynthesis-dominated), and Type III (cold-season conditions, high DO levels, minimal diel fluctuations, temperature-driven). Photosynthetically active radiation (PAR) and precipitation were major regulators of diel DO dynamics. PAR strongly influenced DO variations in Type II, while precipitation played a key role in distinguishing Type I from Type II by affecting vertical mixing. To enhance interpretability and predictive accuracy, XGBoost regression models were trained separately for each type, with SHAP analysis quantifying the contributions of individual drivers. The classification-based modeling approach improved performance significantly (R2 increased from 0.73 to &gt; 0.8 in Type I and III). This study presents an integrated framework combining unsupervised clustering and interpretable machine learning to uncover the mechanisms of diel DO variation. The results underscore the need to account for DO pattern heterogeneity in prediction and management and offer new tools for developing targeted water quality strategies in eutrophic lake systems.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113593"},"PeriodicalIF":7.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948752","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":"Soil water balance in response to rainfall variability over a dammed valley farmland in the Chinese Loess Plateau","authors":"Han Zheng ,&nbsp;Jintao Bai ,&nbsp;Panpan Niu ,&nbsp;Tao Peng ,&nbsp;Zhao Jin ,&nbsp;Han Bao ,&nbsp;Syeda Alveena Fatima Naqvi ,&nbsp;Yijing Guan","doi":"10.1016/j.ecolind.2025.113594","DOIUrl":"10.1016/j.ecolind.2025.113594","url":null,"abstract":"<div><div>The dammed valley farmlands created by a mega land consolidation project are crucial in combating land degradation and sustaining food security in the Chinese Loess Plateau. Understanding the response of soil water balance to rainfall variability is essential for the effective water resources management in water scarcity regions facing global climate change. Based on continuous <em>in situ</em> 3-m soil water profile beneath a dammed valley maize farmland, the Hydrus-1D model was calibrated and then employed to simulate the soil water movement and water budgets during two maize growing seasons with contrasting hydrological conditions in 2019 (drought year) and 2020 (normal year). Results showed that the Hydrus-1D model could accurately depict the soil water dynamics at different depths during the two growing seasons. The simulated soil water storage changes (Δ<em>S</em>) and actual evapotranspiration (ET) also showed good agreement with the Δ<em>S</em> from soil water monitoring data and ET from eddy covariance method, respectively. The simulated data indicated that the maximum infiltration depth of rainfall (<em>P</em>) was 100 cm and 150 cm in 2019 and 2020, respectively. The soil water recharge from groundwater by capillary rise varied significantly with crop phenology and water availability, but with close sums during the two growing seasons (45.24 mm and 34.15 mm). ET dominated the soil water consumption for both years, with the ratio of ET to <em>P</em> of 0.98 and 0.73 during the growing seasons of 2019 and 2020, respectively. The simulated Δ<em>S</em> was pronouncedly lower in the drought year (51.79 mm) compared with the normal year (147.53 mm), representing 16.5 % and 30.3 % of the total growing-season <em>P</em>, respectively. The simulated deep drainage was 20.18 mm in 2020, but this value was reduced to zero in 2019. This research could deepen our understanding on the impacts of rainfall variability on soil water balance in the water-limited agricultural regions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113594"},"PeriodicalIF":7.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067971","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":"Spatial effects of human activities on multi-subsurface soil organic carbon during the last 20 years in Shaanxi Province, China","authors":"Yujie Zhou ,&nbsp;Yiheng Zhang ,&nbsp;Wanying Li","doi":"10.1016/j.ecolind.2025.113603","DOIUrl":"10.1016/j.ecolind.2025.113603","url":null,"abstract":"<div><div>Soil organic carbon (SOC), as a crucial carbon reservoir and a key component of ecosystems, plays an essential role in mitigating global climate warming driven by carbon emissions from human activities. In this study, we developed the Human Activity Intensity (HAI) index, which integrates factors such as population density and land use/land cover, establishing a spatial linkage between surface and subsurface SOC data at multiple depths. Additionally, we investigated the influence of surface ecological conditions, represented by the Remote Sensing-based Ecological Index (RSEI) on SOC. Our analysis elucidates the differential impacts of human activities and ecological conditions on SOC across distinct soil layers, underscoring the pivotal role of SOC as a fundamental ecological variable. Results from the Geographically Weighted Regression (GWR) model showed that the primary negative impacts (GWR regression coefficient &lt; 0) of HAI on RSEI were concentrated in the central region of Shaanxi Province, with relatively minor positive effects. In contrast, significant positive impacts (GWR regression coefficient &gt; 0) were predominantly observed in the northern part of Yulin City. Furthermore, we found that the spatial effects of HAI on surface SOC were more pronounced than those on multi-subsurface SOC layers. GWR model results indicated a gradual decline in the spatial effects with increasing soil depth, stabilizing at approximately 60 cm. The spatial distribution of surface vegetation conditions and land use/cover was found to significantly influence the spatial patterns of both surface and subsurface SOC across multiple soil layers. Collectively, our findings offer valuable macro-scale insights into the spatial relationships between human activities and SOC, extending the analysis into a multidimensional environmental context.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113603"},"PeriodicalIF":7.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067967","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":"How can a social-ecological integration green space network be developed with land constraints? A case study from Sichuan Tianfu New Area, China","authors":"Bailu Deng ,&nbsp;Zhiyuan Li ,&nbsp;Miao Sui ,&nbsp;Jingren Zhou ,&nbsp;Lamei Qing ,&nbsp;Songlin Sun ,&nbsp;Zheng Li ,&nbsp;Qian Li ,&nbsp;Yiwen Li ,&nbsp;Wenwu Du","doi":"10.1016/j.ecolind.2025.113576","DOIUrl":"10.1016/j.ecolind.2025.113576","url":null,"abstract":"<div><div>Maximizing the social-ecological benefits of urban green spaces with land constraints presents a challenge for cities facing high population density, farmland protection, and urban expanding. In this study, we develop an integrated ecological and social service framework (IESSF) to optimize green space networks. It comprehensively considers social and ecological benefits and innovatively establishes a cross-scale connectivity network, linking green spaces at both regional and urban scales to form a more cohesive network. First, we conduct an ecosystem service assessment based on the objective weighting method to evaluate the social-ecological service values of green spaces across the entire study area. Second, combining the assessment results with morphological analysis, we identify core green space patches and construct a regional scale green space network using Minimum Cumulative Resistance (MCR) and the gravity model. Third, we assess urban green space services through ecosystem service evaluation, network analysis and the quantitative evaluation of route selection potential (QERSP), adding new parks and selecting recreational greenway routes. Finally, we construct a cross-scale connectivity network that links regional and urban green space networks, creating a more cohesive overall network. The results show that based on the IESSF method, the connectivity integration index (IIC) increased from 0.0091 to 0.1979, the Splitting index decreased from 1418.84 to 203.61, and the integrated increase in forest service coverage rate was 9.67%, which substantially improved the efficiency of social-ecological system services. This study provides an alternative way for cities facing similar land constraints in the post-urbanization era to develop an integrated green space network.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113576"},"PeriodicalIF":7.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067963","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":"Exploring the factors behind the discrepancy between two-dimensional and three-dimensional indicators of greenspace exposure","authors":"Lixian Su ,&nbsp;Zihan Kan ,&nbsp;Mei-Po Kwan","doi":"10.1016/j.ecolind.2025.113584","DOIUrl":"10.1016/j.ecolind.2025.113584","url":null,"abstract":"<div><div>Assessing greenspace exposure is vital in environmental health research due to its impact on human health. Advances in technology, such as Light Detection and Ranging (LiDAR), enable precise three-dimensional (3D) greenspace assessments, measuring the exact volume of greenspace exposure. Despite these advancements, traditional two-dimensional (2D) methods like the NDVI remain prevalent due to extensive research and data availability. Understanding the relationships and spatial discrepancies between 2D and 3D greenspace indicators is essential for improving public health strategies, as current gaps hinder comprehension of their impact on health outcomes and the application of 3D indicators in research. This study addresses this gap by explaining the inconsistent spatial patterns between the NDVI and greenspace volume, identifying landscape-related factors associated with these inconsistencies, and elucidating the implications of differences between the NDVI and volume on greenspace exposure measurement. We curated a set of landscape factors based on prior research and used an explainable machine learning technique to explore the associations between 2D and 3D greenspace indicators and these landscape elements. Our findings reveal that in highly developed urban and woodland areas, the greenspace exposure measured by vegetation volume tends to be higher than the greenspace exposure measured by the NDVI, while in areas dominated by low-growing vegetation, NDVI-based measurements are higher compared to the measure based on vegetation volume. Additionally, our study also indicates that the differences between the 2D and 3D greenspace indicators may be influenced by topographic factors. These insights offer strategic guidance for the application of 3D greenspace indicators in environmental health studies and inform future urban planning and policy decisions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113584"},"PeriodicalIF":7.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942989","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":"What drives urban land green use efficiency in China: A global meta-frontier Malmquist Index approach","authors":"Yufeng Chen ,&nbsp;Hao Ge ,&nbsp;Minghui Chen","doi":"10.1016/j.ecolind.2025.113550","DOIUrl":"10.1016/j.ecolind.2025.113550","url":null,"abstract":"<div><div>Rapid urbanization has brought substantial socio-economic benefits to China, as well as numerous problems related to resources and the environment. The efficient and green use of urban land is an urgent task for China’s future sustainable development and green urbanization under the new conditions of high-quality economic development. This paper comprehensively measures urban land green use efficiency by combining the SBM-undesirable and <em>meta</em>-frontier models. It examines the technical heterogeneity in different regions and the causes of urban land green use inefficiency. Subsequently, this paper decomposes the dynamics of urban land green use efficiency and explores its driving factors using the Malmquist Index. Finally, this paper analyzes the factors that influence urban land green use efficiency by using the Tobit model. In this paper, it was found that (1) China’s urban land green use efficiency remains inefficient, and there was a gap between the production technology and the potential optimal production technology in each region. (2) In terms of urban land green use efficiency, there is a significant degree of technological heterogeneity, but most regions are slowly catching up with potential production technologies. (3) Urban land green use inefficiency mainly stems from production technology and management inefficiency, and each region has different technological and management potentials in land use. (4) Economic growth contributes significantly to urban land green use efficiency in all regions, while financial pressures have the opposite effect. The impacts of other influences on urban land green use efficiency varied by region. Based on the empirical findings, the government should critically review available land and consider land use holistically. Meanwhile, land use techniques should be continuously improved, and land planning concepts should be updated.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113550"},"PeriodicalIF":7.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942988","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}