Ecological Indicators最新文献_第6页

Retraction notice to “Three decades of wetland transformation in the middle and lower Yangtze River basin: Classification, inundation dynamics, and ecological impacts” [Ecol. Indic. 177 (2025) 113615] 《长江中下游流域湿地改造三十年：分类、淹没动态与生态影响》的撤稿通知[j]。索引177 (2025)113615]

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-03-13 DOI: 10.1016/j.ecolind.2026.114769

Pingheng Li , Qing Wang , Muhammad Umair , Nargizakhon Shamshieva , Yichen Zheng

引用次数: 0

Framework for consistent BirdNET detection labelling to prevent biases in downstream community predictions 一致的BirdNET检测标记框架，以防止下游社区预测中的偏差

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-03-22 DOI: 10.1016/j.ecolind.2026.114794

Paul Petry , Jonathan Carruthers-Jones , Camille Desjonquères , Mina L. Nesenhöner , Christopher M. Raymond

{"title":"Framework for consistent BirdNET detection labelling to prevent biases in downstream community predictions","authors":"Paul Petry , Jonathan Carruthers-Jones , Camille Desjonquères , Mina L. Nesenhöner , Christopher M. Raymond","doi":"10.1016/j.ecolind.2026.114794","DOIUrl":"10.1016/j.ecolind.2026.114794","url":null,"abstract":"<div><div>Passive Acoustic Monitoring (PAM) has become a cost-effective tool in ecological research but generates large volumes of data requiring extensive processing. BirdNET v2.4 is a machine-learning tool that facilitates soundfile analysis by automatically detecting a large number of species within acoustic datasets. However, the ability of BirdNET to correctly detect species is inconsistent. Recent studies recommend the use of Species-Specific Confidence Thresholds (SSCTs) to optimize the trade-off between detection performance and data loss. However, SSCTs require preliminary manual annotations of BirdNET detections to be inferred and the pool of labelled samples is likely to have an impact on SSCT predictions. Using 31 European bird species detected across two independent study areas, we propose a framework to evaluate how many labelled samples are needed to ensure consistent ecological predictions. For each species, a benchmark of 100 manually annotated detections was used to simulate a wide range of annotation pool sizes through bootstrap resampling. It reveals a constant overestimation of predicted call abundance with small annotation pools. Given our set of 31 species, abundance estimations along temporal scales stabilize on average with 57 annotated samples and at worst with 90 samples. Using Euclidean distance enabled to compare occurrence patterns across temporal scales with different size of annotation pools and assess above which number of labelled samples predicted trends stabilize. As PAM surveys are growing for bird conservation policies, this scalable framework looks crucial to ensure the relevancy of SSCTs to accurately predict bird temporal and spatial ranges.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"185 ","pages":"Article 114794"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147612914","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}

引用次数: 0

Retraction notice to "Ecological risk assessment and prioritization of contaminants of emerging concern in the Upper Yangtze River, Chongqing, China" [Ecol. Indic. 178 (2025) 113920] 对“长江上游重庆地区新发关注污染物生态风险评价及优先排序”的撤回通知[j] .生态学报。第178（2025）号法令113920]

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-03-14 DOI: 10.1016/j.ecolind.2026.114771

Shi Tang , Said Khalfa Brika , Yegana Hakimova , Gavkhar Bekmurodova

引用次数: 0

Retraction notice to " Assessing the trade-offs between urbanization policy and ecological construction: impacts on carbon balance in the Yangtze River Basin" [Ecol. Indic. 177 (2025) 113743] 对“城镇化政策与生态建设权衡评估：对长江流域碳平衡的影响”的撤回通知[j]。索引177 (2025)113743]

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-03-14 DOI: 10.1016/j.ecolind.2026.114781

Yaqiu Liu , Yuqi Wang , Muhammad Imran , Wei Mi , Nawal Abdalla Adam , Ji Shen

引用次数: 0

Retraction notice to “Methods and challenges for coastal wetlands restoration in the Jianghan plain: integrating remote sensing, financial indicators and ecological indicators” [Ecol. Indic. 177 (2025) 113799] 关于“江汉平原滨海湿地恢复的方法与挑战：遥感、财务指标与生态指标的整合”的撤回通知[j]。第177（2025）号法令113799]

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-03-14 DOI: 10.1016/j.ecolind.2026.114774

Tao Jiang , Chunyu Yang , Esmira Guluzada , Nasiba Safarova , Xuezhi Zhang

引用次数: 0

Retraction notice to “Evaluating and transferring social value of ecosystem services in urban wetland parks using the SolVES model” [Ecol. Indic. 172 (2025) 113270] 对“基于求解模型的城市湿地公园生态系统服务功能社会价值评估与转移”的撤稿通知[j]。第172（2025）号法令[113270]

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-03-14 DOI: 10.1016/j.ecolind.2026.114768

Bingyan Chen , Yao Lu , Muhammad Imran , Nawal Abdalla Adam , Jin Jang

引用次数: 0

Synergistic impacts of green infrastructure and urban form on thermal comfort in hot and humid environment: A case study of Wuhan 湿热环境下绿色基础设施与城市形态对热舒适的协同影响——以武汉市为例

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-04-03 DOI: 10.1016/j.ecolind.2026.114819

Zhen Wang , Zheyu Wang , Baole Zhang , Bo Yang , Yezi Yang

{"title":"Synergistic impacts of green infrastructure and urban form on thermal comfort in hot and humid environment: A case study of Wuhan","authors":"Zhen Wang , Zheyu Wang , Baole Zhang , Bo Yang , Yezi Yang","doi":"10.1016/j.ecolind.2026.114819","DOIUrl":"10.1016/j.ecolind.2026.114819","url":null,"abstract":"<div><div>Optimizing urban form is an important method to improve urban thermal comfort. Although increasing attention has been paid to green infrastructure and urban form respectively, comprehensive investigations into their synergistic effects on urban thermal comfort remain limited in existing studies. This study combines urban morphology to analyze synergistic impacts of green infrastructure (GI) and neighborhood form on hot and humid environments through ENVI-MET. Meanwhile, the green volume ratio (GVR) and spatial enclosure (SE) were selected as representative indicators of greenery and urban form, and their nonlinear relationships with thermal comfort indicators (UTCI, MRT) were analyzed using generalized additive models (GAMs). This approach allowed the calculation of optimal parameter ranges while retaining mechanistic interpretability. Results show: ① the optimal spatial layout is the G3-RV-A3, which can reduce temperature by 2.69 °C and increase humidity by 7.36%; ② increased GVR in winter can have a negative impact on thermal comfort due to lower temperatures and increased humidity. G1-A2 is the optimal spatial layout, where temperature loss can be controlled to within 0.15 °C. ③ GVR should be increased to 1.2 and above in summer, and SE exceeding 0.8 can improve thermal comfort; while in winter, the increase of GVR is negatively correlated with thermal comfort, and thermal discomfort occurs after SE exceeds 0.8. ④ optimal GVR values (3.56 for A1, 3.64 for A2, 2.89 for A3, 3.06 for A4) reduce summer thermal stress by 4.2–5.18 °C, with winter heat loss limited to 1.08–1.48 °C</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"185 ","pages":"Article 114819"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147612429","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}

引用次数: 0

A modified coralligenous bioconstructions quality index (CBQI) to improve the assessment of the ecological status of coralligenous cliffs through the STAR protocol 提出了一种改进的珊瑚岩生物结构质量指数（CBQI），通过STAR协议提高对珊瑚岩生态状况的评价

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-03-31 DOI: 10.1016/j.ecolind.2026.114817

L. Piazzi , P. Gennaro , M.F. Cinti , G.F. Russo , F. Ferrigno

{"title":"A modified coralligenous bioconstructions quality index (CBQI) to improve the assessment of the ecological status of coralligenous cliffs through the STAR protocol","authors":"L. Piazzi , P. Gennaro , M.F. Cinti , G.F. Russo , F. Ferrigno","doi":"10.1016/j.ecolind.2026.114817","DOIUrl":"10.1016/j.ecolind.2026.114817","url":null,"abstract":"<div><div>CBQI is an index developed to assess the quality status of different types of coralligenous habitats (cliffs and banks) on a large scale using photographic images obtained from ROV footage. This study aims to propose the use of the CBQI index to assess the ecological quality of coralligenous cliffs on a small scale, through a modified protocol involving sampling by SCUBA divers. Twelve sites were sampled in the north-western Mediterranean Sea using the STAR standardized method specifically developed for monitoring coralligenous cliffs by SCUBA diving and the CBQI implemented together with STAR indices (ESCA and COARSE). The results of the study showed that the new CBQI sampling protocol, applied by SCUBA divers on coralligenous cliffs, is effective in detecting differences among localities, coherently to STAR indices. The CBQI adds to STAR indices important information on the impact of fishing activity. Therefore, the complementary use of ESCA, COARSE, and CBQI allowed for a more refined assessment of the ecological quality of coralligenous cliffs, as each index provides different and complementary information about the effects of environmental alterations on this type of coralligenous habitat.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"185 ","pages":"Article 114817"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147612801","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}

引用次数: 0

Assessing thresholds and spatial effects of drivers on multi-scale ecosystem service supply-demand matching 多尺度生态系统服务供需匹配的阈值及驱动因素空间效应评价

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-03-26 DOI: 10.1016/j.ecolind.2026.114805

Xiaowen Yuan, Peipei Pan, Yanan Jiang, Ziyan Zhang, Bingyu Liu

{"title":"Assessing thresholds and spatial effects of drivers on multi-scale ecosystem service supply-demand matching","authors":"Xiaowen Yuan, Peipei Pan, Yanan Jiang, Ziyan Zhang, Bingyu Liu","doi":"10.1016/j.ecolind.2026.114805","DOIUrl":"10.1016/j.ecolind.2026.114805","url":null,"abstract":"<div><div>Analyzing multi-scale ecosystem service (ES) supply-demand matching, identifying social-ecological drivers (SEDs) and their thresholds, and exploring spatial differentiation are crucial for ES regulation. However, neglecting scale effects in SED thresholds may impede policy precision. This study emphasizes these scale effects by identifying driver thresholds across spatial heterogeneity at multiple scales. We analyzed ES supply-demand matching across four scales (1 km and 3 km grids, town, county) in Bashang from 2000 to 2020. Drivers were selected using a social-ecological framework. A generalized additive model (GAM) identified key thresholds of the ES supply-demand ratio (ESDR), and multi-scale geographically weighted regression (MGWR) revealed spatial heterogeneity. We quantified three supply-demand ratios: carbon sequestration (CS_SDR), soil conservation (SC_SDR), and water yield (WY_SDR). Results show that as scale increased, ESDR patterns became more regionally clustered, masking local deficits and yielding apparent regional surplus. At smaller scales, key drivers were primarily ecological, whereas at larger scales, economic and social factors dominated. Nonlinear thresholds were more pronounced at larger scales. In 2020, drivers operated at smaller scales than in 2000 and 2010. At the 1 km grid, precipitation drove CS_SDR and WY_SDR, while NDVI dominated SC_SDR, each with a single threshold. At the county scale, dominant factors shifted to slope for CS_SDR, PM10 for SC_SDR, and NLI for WY_SDR, with one or two thresholds. Notably, the same driver could have opposite effects in different regions. This study clarifies multi-scale driving mechanisms of ES supply-demand and supports multi-tiered ecological security optimization and cross-scale sustainable ES management.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"185 ","pages":"Article 114805"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147612835","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}

引用次数: 0

High-resolution monitoring of intra-seasonal agricultural drought using sentinel-2 and machine learning across bimodal growing seasons in Kenya 利用sentinel-2和机器学习在肯尼亚双峰生长季节对季节性农业干旱进行高分辨率监测

IF 7 2区环境科学与生态学

Ecological Indicators Pub Date : 2026-04-01 Epub Date: 2026-03-30 DOI: 10.1016/j.ecolind.2026.114790

S. Mohammad Mirmazloumi , Harison Kipkulei , Rose Waswa , Tobias Landmann , Tom Dienya , Maximilian Schwarz , Fabrizio Ramoino , Clément Albergel , Gohar Ghazaryan

{"title":"High-resolution monitoring of intra-seasonal agricultural drought using sentinel-2 and machine learning across bimodal growing seasons in Kenya","authors":"S. Mohammad Mirmazloumi , Harison Kipkulei , Rose Waswa , Tobias Landmann , Tom Dienya , Maximilian Schwarz , Fabrizio Ramoino , Clément Albergel , Gohar Ghazaryan","doi":"10.1016/j.ecolind.2026.114790","DOIUrl":"10.1016/j.ecolind.2026.114790","url":null,"abstract":"<div><div>Drought presents significant challenges to agriculture, threatening food security and livelihoods, across many regions. In Kenya, recurrent droughts across diverse agro-ecological zones emphasize the urgent need for reliable and scalable drought assessment methods. Although drought assessment with various datasets has been carried out for this region, many of them often use course or moderate resolution data. This study uses high-resolution Sentinel-2 observations and machine learning to monitor intra-seasonal crop conditions and assess drought impacts across bimodal growing seasons. Using pixel-based supervised random forest models trained with multiple vegetation indices as input, we classify croplands into drought-affected and unaffected areas. The phenology information is integrated into the framework to take into account two growing seasons. Our results from 2016 to 2022 highlight an increasing frequency in drought-affected croplands, with 2022 exhibiting widespread crop stress, especially during the long rains season. The results have strong agreement to governmental yield statistics and national and international reports as well as regional and global drought monitoring platforms. Despite uncertainties from cloud cover, land cover misclassification, and other stressors, the proposed framework provides high-resolution and operationally relevant agricultural drought monitoring approach with high resolution at national scale. Future enhancements, including radar-based data integration and real-time monitoring and prediction, can further strengthen early warning systems, supporting policymakers in developing targeted drought mitigation strategies.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"185 ","pages":"Article 114790"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147612848","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}

引用次数: 0