Ecological Indicators最新文献

{"title":"Influence of stand age on sediment bacterial communities in restored mangrove forests","authors":"Jiayong Lai ,&nbsp;Kishneth Palaniveloo ,&nbsp;Sahadev Sharma ,&nbsp;Rozainah Mohamad Zakaria ,&nbsp;Wee Cheah","doi":"10.1016/j.ecolind.2025.113316","DOIUrl":"10.1016/j.ecolind.2025.113316","url":null,"abstract":"<div><div>Microbes in mangrove sediments provide essential ecological functions, acting symbiotically with their mangrove hosts. Investigating their dynamics in restored mangroves over a chrono-sequence offers valuable indications on how microbial diversity is shaped by both restored mangrove age and environmental factors. In this study, we examined the dynamics of the bacterial community and sediment properties in four <em>Rhizophora apiculata</em> forests restored at different times, as well as the sediments of an intact <em>Avicennia marina</em> forest. The result indicated that higher diversity and abundance in older restored mangroves were supported by higher nutrients in sediment, particularly carbon content (ANOVA, p &lt; 0.01). The most dominant bacterial phylum Proteobacteria, showed decreasing relative abundance with sediment depth, while Chloroflexota exhibited increasing relative abundance. The bacterial community demonstrated a strong correlation with sediment properties, especially salinity and carbon content. Co-occurrence network analysis revealed increasing module counts in younger restored mangrove forests, with stabilised counts observed at the 9 years suggesting established bacterial functional dynamics by this age. Random attack of network analysis also indicated that the 5- and 9-year-old mangrove forests were more fragile, while the 16 year-old mangrove forests displayed lowest resilience due to higher salinity levels. In contrast, the 21-year-old restored mangrove and intact <em>A. marina</em> exhibited robust and well-connected networks. In summary, older <em>R. apiculata</em> restored forests fostered enhanced soil nutrient content, especially surface sediment carbon content, and supported a more stable, diverse bacteria community network.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113316"},"PeriodicalIF":7.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiscale synergistic effects of urban green space morphology on heat-pollution: A case study of Guangdong-Hong Kong-Macao Greater Bay Area, China","authors":"Junye Zhang ,&nbsp;Song Hong ,&nbsp;Bin Chen ,&nbsp;Shengbiao Wu","doi":"10.1016/j.ecolind.2025.113390","DOIUrl":"10.1016/j.ecolind.2025.113390","url":null,"abstract":"<div><div>Urban heat island and air pollution issues caused by ozone (O₃) and particulate matter (PM_2.5) pose serious threats to the public health. The synergistic impact of urban green space (UGS) on both seasonal heat and air pollution (heat-pollution) from a multiscale perspective remains a scientific challenge. Land surface temperature (LST), O₃ and PM_2.5 were used as research variables. Morphological Spatial Pattern Analysis (MSPA) was applied to quantify urban green space morphology (UGSM), and the PLUS model was employed to explore the future spatial patterns of UGS under three scenarios. A multiscale perspective combined with multiscale Geographically Weighted Regression (MGWR) and SHapley Additive exPlanations (SHAP) was used to reveal the complex impacts of UGSM on heat-pollution. The results showed that from 2000 to 2020, the area and aggregation degree in the study area decreased. High values of LST, O₃ and PM_2.5 concentrations were primarily distributed in main urban expansion zones. The impact of UGSM on LST, O₃ and PM_2.5 exhibited spatial heterogeneity and scale effect, and the degree of impact increased with scale. Moreover, the overall contribution of UGSM indicators to LST, O₃ and PM_2.5 varied at different scales. On the whole, UGSM effectively mitigate LST. Seasonal analysis reveals that UGSs most significantly regulate LST in summer. UGSM indicators also exhibit seasonal variability in their effects on O₃ and PM_2.5. UGSM optimization strategies targeting to heat-pollution were proposed. This study provides recommendations for improving UGS planning and mitigating the heat-pollution problem in the Greater Bay Area.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113390"},"PeriodicalIF":7.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Driving mechanisms and threshold identification of landscape ecological risk: A nonlinear perspective from the Qilian Mountains, China","authors":"Bin Qiao ,&nbsp;Hao Yang ,&nbsp;Xiaoyun Cao ,&nbsp;Bingrong Zhou ,&nbsp;Nai’ang Wang","doi":"10.1016/j.ecolind.2025.113342","DOIUrl":"10.1016/j.ecolind.2025.113342","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Landscape Ecological Risk Assessment is a core component of spatial governance and regional ecological protection, as well as a fundamental task in ecosystem management. This study uses the Qilian Mountains ecosystem as a case study, innovatively integrating the Geo-Detector model, XGBoost-SHAP model, and constraint line method to explore the spatiotemporal dynamics and driving mechanisms of Landscape Ecological Risk (LER) from a nonlinear perspective between 2000 and 2023. The main findings are as follows: (1) Temporal Evolution Characteristics: The annual variation rate of the Landscape Ecological Risk Index (LERI) was 0.0011 yr&lt;sup&gt;−1&lt;/sup&gt; (&lt;em&gt;R&lt;/em&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.0861, &lt;em&gt;p&lt;/em&gt; = 0.1641), showing weak fluctuations. The proportion of Extremely Low-Ecological Risk Areas and Low Ecological Risk Areas remained stable within the range of 50.56 % to 64.07 %, and the ecological security pattern remained relatively stable. The area of Extremely High Ecological Risk Areas decreased significantly, with an annual reduction rate of −0.0791 × 10&lt;sup&gt;4&lt;/sup&gt; km&lt;sup&gt;2&lt;/sup&gt; yr&lt;sup&gt;−1&lt;/sup&gt; (&lt;em&gt;R&lt;/em&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.5655, &lt;em&gt;p&lt;/em&gt; &lt; 0.001), indicating continuous improvement in regional ecological quality. (2) Driving Mechanism Analysis: The Geo-Detector model showed that the primary driving factors, ranked by explanatory power, were Grazing Intensity (GI) (Q = 0.2472), Land Surface Temperature (LST) (Q = 0.2145), Elevation (Q = 0.1605), Annual Precipitation (Q = 0.1546), Downward Shortwave Radiation (DSR) (Q = 0.1032), and Annual Mean Temperature (Q = 0.0942), with a total explanatory power of 80.83 %. The XGBoost-SHAP model identified the top six significant factors as GI (SHAP = 0.0918), Specific Humidity (SH) (SHAP = 0.0454), Annual Precipitation (SHAP = 0.0452), DSR (SHAP = 0.0344), Wind Speed (WS) (SHAP = 0.0259), and Elevation (SHAP = 0.0251), with a total contribution rate of 87.46 %. Interaction analysis revealed that the nonlinear synergistic effect between GI and climate factors was the most significant, particularly the interactions between GI and Annual Precipitation (Q = 0.434) and GI and Elevation (Q = 0.419). (3) Threshold Response Characteristics: Elevation exhibited a concave-downward constraint effect (&lt;em&gt;R&lt;/em&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.7867), with a critical threshold at 4200 m. Beyond this threshold, the constraint intensity on LER increased. A significant threshold inflection point for DSR was found at 2502 W/m&lt;sup&gt;2&lt;/sup&gt;. Climate constraint thresholds revealed that when Annual Precipitation &lt; 200 mm, Mean Temperature &lt; -6°C, and Specific Humidity &lt; 2.8068 g/kg, the constraint effect on landscape risk was enhanced. Grazing Intensity exhibited a dual-threshold response: 3.35 SU/ha was the critical point for rapid increases in landscape risk, while 14.36 SU/ha marked the threshold for abrupt ecological stability loss. Beyond this threshold, the fragmentation of landscape structure sharply increased, significantly r","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113342"},"PeriodicalIF":7.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating seasonal variation into conservation planning can provide extra benefits: A case study in the Tana River Basin, Kenya","authors":"Jiacheng HUANG ,&nbsp;Sisi YU ,&nbsp;Kelvin Babu GITHAIGA ,&nbsp;Samwel Maina NJUGUNA ,&nbsp;Janet ONYANGO ,&nbsp;Xue YAN","doi":"10.1016/j.ecolind.2025.113392","DOIUrl":"10.1016/j.ecolind.2025.113392","url":null,"abstract":"<div><div>Seasonal variations in climatic conditions induce spatio-seasonal changes of ecological indicators, such as ecosystem services and biodiversity. However, current conservation planning mostly focus on annual or long-term characteristics of ecological indicators, with limited considerations of their seasonal variations. It remains unclear whether integrating seasonal variation into conservation planning can provide extra benefits. This study examines the Tana River Basin, a typical basin significantly affected by seasonal variations, to integrate these variations into ecological network construction and assess its benefits for conservation. Results demonstrated that integrating seasonal variation indeed improve protection efficiency. Compared to the annual perspective, considering seasonal stability can increase the soil conservation by 82.79 %, water yield by 14.55 % and net primary productivity by 16.78 %, respectively. Meantime, it enables the adjustments of conservation planning based on the seasonal ecological resistance. For instance, compared to long rainy season, the long dry season decreased ecological corridor areas by 33.87 % and increased barrier points by 428.92 %. Accordingly, ecological sources covering an area of 20,758 km² within the basin were identified in the upper and lower reaches. Ecological corridors were classified into primary and seasonal (Level I and II) corridors to clarify the different priorities. A number of 52 and 22 of hierarchical ecological pinch points and hierarchical barrier points were also identified, respectively. Finally, a “two zones, two axes, five nodes, and multiple corridors” ecological conservation pattern and targeted suggestions for different seasons were proposed. These results provide prioritization information for ecological conservation, supporting for sustainable development of the Tana River Basin.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113392"},"PeriodicalIF":7.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supply-Demand risk assessment of urban flood resilience from the perspective of the ecosystem services: A case study in Nanjing, China","authors":"Peng Zhang ,&nbsp;Xukan Xu ,&nbsp;Wentong Yang ,&nbsp;Yiming Li ,&nbsp;Shengqi Yao","doi":"10.1016/j.ecolind.2025.113397","DOIUrl":"10.1016/j.ecolind.2025.113397","url":null,"abstract":"<div><div>Urban flooding has become a pressing challenge for many countries and regions. Meanwhile, ecosystem-based disaster risk reduction approaches have been recognized as a sustainable and effective strategy for managing flood risks. This study designed a conceptual framework for assessing the supply–demand risk of urban flood resilience (UFR) from the perspective of ecosystem services (ESs). Taking the city of Nanjing, China, as an example, the InVEST model and the multi-criteria comprehensive evaluation method were employed to quantify the supply of UFR provided by natural ecosystems and the demand for UFR from socio-economic systems. Additionally, based on UFR supply–demand evaluation indicators calculated for each subdistrict, the Self-Organizing Map (SOM) was used to cluster the subdistricts. Finally, UFR supply–demand matching was conducted on the subdistrict clusters, and different flood-risk levels were identified based on the supply–demand ratio. The results showed that high flood-risk subdistricts are mainly concentrated in central urban area, low flood-risk subdistricts are primarily in urban periphery, and subdistricts in urban–rural transitional zones exhibit medium flood risk. Statistical analysis revealed that this zonal pattern is closely related to land use types and the distribution of social resources. Therefore, this study provides a scientific basis for developing management strategies of urban flood prevention from the perspective of ESs.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113397"},"PeriodicalIF":7.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Damselflies and dragonflies in distress: The impact of forest fires and logging on odonate assemblages","authors":"Daniel F.R. Cleary ,&nbsp;Anna M. Bijlmer ,&nbsp;Dille Wielakker ,&nbsp;Nicole J. de Voogd","doi":"10.1016/j.ecolind.2025.113382","DOIUrl":"10.1016/j.ecolind.2025.113382","url":null,"abstract":"<div><div>We assessed the impact of logging and forest fires on the species richness, evenness, and structure of odonate assemblages located on the island of Borneo. Landscape-scale species richness was highest in unburnt and once-burnt landscapes and lowest in two landscapes subjected to multiple burn events. These landscapes also had lower evenness compared to primary and once-burnt landscapes, highlighting the detrimental effects of repeated burn events on odonate species assemblages. There was significant geographic distance dependence in three of the six landscapes studied including primary and burnt landscapes. Odonate assemblages, furthermore, did not significantly deviate from Hubbell’s neutral model predictions at metacommunity and local scales in any of the landscapes. Finally, we identified a significant association between species traits and environmental conditions, which appeared to be largely driven by disturbance. Landscapes subjected to multiple burn events in particular were largely populated by species associated with standing water bodies and with large geographical distributions. Our study emphasises how disturbances like burning and logging are associated with shifts in species composition, favouring species associated with disturbed environments, while reducing the prevalence of endemic species.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113382"},"PeriodicalIF":7.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"County-level source-sink balance and carbon allocation of regional peak emissions: Model construction and application","authors":"Bianshiyu Tao ,&nbsp;Fengping Wu ,&nbsp;Jigan Wang ,&nbsp;Mingming Zhu ,&nbsp;Jie Zhang ,&nbsp;Zhencheng Xing","doi":"10.1016/j.ecolind.2025.113387","DOIUrl":"10.1016/j.ecolind.2025.113387","url":null,"abstract":"<div><div>A fair and precise carbon allocation mechanism is crucial for enabling sub-regions to reduce emissions responsibly and equitably, thereby supporting regional carbon peaking targets. This study integrates both cumulative carbon sources and sinks to analyze the spatial and temporal dynamics of carbon balance, project regional carbon peaking pathways, and develop a county-level carbon allocation model based on the ’equal cumulative per capita net emissions’ principle. An empirical analysis is conducted for Jiangsu Province, one of China’s most developed and carbon-intensive regions. The findings reveal that Jiangsu’s carbon emissions far exceed its carbon sink capacity, resulting in a pronounced carbon imbalance, especially in South Jiangsu counties/districts, such as Jiangning, Changshu, Kunshan, Zhangjiagang, and Jiangyin. Projections indicate that Jiangsu’s total CO₂ emissions will peak at 847.6 million tons by 2030, with county-level carbon quotas ranging from –3.4 Mt in Taicang to 30.1 Mt in Shuyang. This variation underscores the necessity of implementing carbon allocation at the county level. The proposed allocation strategy considers both historical cumulative emissions and ecological sinks, ensuring equitable development by safeguarding the rights of less developed regions while protecting the interests of counties/districts with valuable ecosystems, such as Sheyang, Sihong, and Dafeng. These insights offer valuable guidance for policymakers in designing equitable carbon allocation strategies and integrate them with carbon trading markets to achieve cost-effective emissions reduction and support regional carbon peaking goals.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113387"},"PeriodicalIF":7.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel index combining meteorological, hydrological, and ecological anomalies used for ecological drought assessment at a grassland-type basin scale","authors":"Yixuan Wang ,&nbsp;Tingxi Liu ,&nbsp;Limin Duan ,&nbsp;Shaojie Chu ,&nbsp;Jin Sun ,&nbsp;Xin Tong ,&nbsp;Lina Hao ,&nbsp;Yongzhi Bao ,&nbsp;Yu Gong","doi":"10.1016/j.ecolind.2025.113384","DOIUrl":"10.1016/j.ecolind.2025.113384","url":null,"abstract":"<div><div>Under changing climate, grasslands in arid and semiarid areas have experienced severe degradation due to the increased frequency and intensity of droughts. Quantifying the anomalies in ecosystem caused by water limitation is challenging due to the complex interactions of ecological and hydrological processes at a basin scale. Here, a new comprehensive drought index, the Non-stationary Standardized Ecological Drought Index (NSEDI), was proposed to identify and assess the ecological drought. The NSEDI is calculated based on a non-stationary NDVI-fitted model, which incorporates the highly correlated precipitation, temperature, runoff, and soil moisture as covariates. The performance of the NSEDI method was evaluated by an application on a grassland-type inland river basin, as well as comparations with that of other widely-used drought indices. The results show that the non-stationary model performed better than a stationary model and a time-dependent model, indicating the preferable explanatory ability of the concurrent and 1-month preceding hydrothermal variables to the NDVI changes. Consequently, the NSEDI can reasonably depict the vegetation anomalies posed by hydro-meteorological drought stresses within a basin. The standardized feature employed in NSEDI makes it feasible to compare ecological drought over different regions and periods, and with the other drought types. It is demonstrated that the grassland ecological droughts largely depend on seasonality, expected to be more serious in the rapid growing stage (July to August). Moreover, the ecological drought is strongly determined by the meteorological drought with high temperature and less precipitation, and directly aggravated by the surface soil dryness. Hydrological drying condition seemingly shows an inhibiting effect on the ecological drought, implying the restrictive relation between vegetation dynamics and hydrological processes. It is expected that the proposed NSEDI approach can effectively monitor drought for an eco-hydrological system, further providing scientific guidance for regional ecological management.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113384"},"PeriodicalIF":7.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Eco-Efficiency of green Infrastructure: A comparative study of woody plant species Utilizing SWMM-HYDRUS model and Analytic Hierarchy process","authors":"Bei Zhang ,&nbsp;Zheng Liang ,&nbsp;Lidong Zhao ,&nbsp;Letong Ma ,&nbsp;Shouhua Zhang ,&nbsp;Taolve Gao ,&nbsp;Liang Chen","doi":"10.1016/j.ecolind.2025.113388","DOIUrl":"10.1016/j.ecolind.2025.113388","url":null,"abstract":"<div><div>Urban greening and effective control of non-point source pollution are critical objectives that can be achieved through the implementation of green infrastructures (GIs) for sustainable rainwater management. To explain the overarching patterns of GIs dominated by representative woody plants and their influence on urban environmental conditions, a coupled HYDRUS-1D and SWMM model (NSE ≥ 0.64 and R² ≥ 0.71) was developed to simulate the hydrological response of various root systems employed in woody plant cultivation in urban areas. The analysis of surface runoff regulation revealed that the average reduction rate of runoff in GIs increased from 57 % to 73 % as the planting area expanded (5 % to 25 %) during a design rainfall event with a 2-year recurrence interval. Notably, the GI consisting of <em>Sophora japonica</em>, characterized by tap roots, exhibited a superior runoff reduction effect compared to the GI comprising <em>Malus baccata</em>, which possesses fibrous roots, and the control group without vegetation. To comprehensively evaluate and optimize the rainwater utilization technology, an analytic hierarchy process was employed to construct a comprehensive benefit assessment system, including environmental, economic, and societal aspects, for woody plants with varying planting areas in the study region. The analysis revealed that planting density of 15 % for <em>Malus baccata</em> maximizes comprehensive benefit values, positioning it as the optimal choice for woody plant cultivation within the study area. This research not only underscores the ecological benefits of carefully selected woody plants in urban GIs but also provides valuable insights for urban planners aiming to enhance ecological resilience and sustainability.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113388"},"PeriodicalIF":7.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water allocation and irrigation scheme considering runoff forecasting of Ulungur River","authors":"Tao Bai ,&nbsp;Xinyue Liu ,&nbsp;Dong Liu ,&nbsp;Yuhong Zhou","doi":"10.1016/j.ecolind.2025.113381","DOIUrl":"10.1016/j.ecolind.2025.113381","url":null,"abstract":"<div><div>Expanding cropland area in the Ulungur River Basin has led to a significant increase in irrigation demand. Conventional water resource allocation schemes have proven inadequate in guiding annual water resource allocation and agricultural irrigation in arid regions. Additionally, the increasing competition among industrial, domestic, ecological and agricultural water has led to uneven distribution of water resources and river disconnection, which has a negative impact on the stability of the basin ecosystem. This study focuses on the Ulungur River Basin, a typical inland river basin in arid regions, and employs the SWAT model for runoff simulation. A basin-wide water resource allocation model was developed, considering water-saving strategies to formulate water allocation and agricultural rotational irrigation schemes. The results show that: (1) the total inflow in 2023 was 1.0998 × 10⁹ m³, classifying it as a moderately dry year. A water balance analysis revealed a total basin water deficit of 2.917 × 10⁸ m³. (2) After optimizing water resource allocation, the deficit was reduced to 1.679 × 10⁸ m³. (3) An innovative three-tier agricultural irrigation water distribution scheme was proposed, encompassing county-irrigation area-pumping station levels, along with a rotational irrigation plan. This approach reduced the agricultural water shortage rate by 27.2 % while ensuring irrigation area. The findings provide a critical reference for water resource allocation in the Ulungur River Basin, enhancing the operability and practicality of annual agricultural irrigation water distribution schemes.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113381"},"PeriodicalIF":7.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}