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Assessing the role of Alnus nepalensis D. Don in stabilizing landslide and its potential distribution: a case study from Uttarakhand, Western Himalaya.
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1093/inteam/vjae002
Sanjay Kumar Dwivedi, Naveen Chandra, Arun Pratap Mishra, Sonam Bahuguna, Aman Srivastava, Dhani Arya, Gajendra Singh, Bojan Đurin, Nikola Kranjčić, Raj Singh

The rising frequency and severity of landslides in the vulnerable Himalayan region of India threaten human settlements and critical infrastructure. This growing issue demands urgent action and innovative strategies to mitigate risks and bolster the resilience of affected communities and infrastructure in this fragile area. The research explores the use of Alnus nepalensis for slope stabilization, illustrated by a case study near Ukhimath, Uttarakhand, India, and elucidates the potential ecological niche of Alnus in the temperate region of Uttarakhand using well-dispersed species occurrence records along with environment. The study used Sentinel-2 (2021) data for land use and land cover (LULC) mapping and Landsat 4-5, Sentinel-2, and Google Earth imagery from 1998, 2004, 2015, 2019, and 2020 for landslide slope recovery assessment. The Ukhimath landslide, spanning 54.61 ha in August 1998, demonstrated a remarkable recovery, with 98.20% coverage of Alnus by 2020, showcasing the species efficacy in stabilizing slopes without human intervention. The research forecasts a total potential distribution area of Alnus in the temperate region (1,000-2,500 m·asl [above mean sea level]) of Uttarakhand as ∼7,833 km2, with 782.30  km2 highly suitable, 2,104.33  km2 moderately suitable, and the rest showing low suitability. These distribution insights provide a foundation for in situ planning to leverage Alnus-based bioengineering for early slope stabilization, which is especially relevant in landslide-prone areas like Uttarakhand. The study provides a comprehensive and scientifically rigorous strategy for achieving sustainable outcomes in landslide-prone areas, particularly in the lower temperate region of the Himalaya.

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引用次数: 0
Integrating ex situ biomimetic extraction analyses into contaminated sediment assessment and management decisions.
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1093/inteam/vjae008
Thomas F Parkerton, Aaron D Redman, Daniel J Letinski, Magdalena I Rakowska, Danny D Reible

This study evaluated a novel ex situ passive sampling biomimetic extraction (BE) method to estimate toxic potency in sediments. Gas chromatography with flame ionization detection (GC-FID) analysis of polydimethylsiloxane fibers equilibrated with field sediments was used to quantify bioavailable polyaromatic hydrocarbons (PAHs) and other unresolved, site-specific contaminant mixtures. This method is biomimetic because contaminants partition to the fiber based on hydrophobicity and abundance, and GC-FID quantification accounts for all constituents absorbed to the fiber that may contribute to toxicity. This measurement was compared with conventional approaches that rely on bulk sediment or porewater measurements of a targeted suite of PAHs. The specific objectives of the study were to (1) describe the BE method and explain measurement translation into toxic units (TUs); (2) report sediment BE data collected across 17 diverse field sites; (3) compare TUs predicted from (i) equilibrium partitioning (EqP) calculations based on sediment total organic carbon and bulk PAH chemistry, (ii) PAH porewater concentrations derived using ex situ passive sampling, and (iii) BE concentrations; and (4) discuss implications of this analysis for benthic toxicity assessment. Results showed that TUs obtained from EqP calculations were typically 10× higher than TUs derived from measured porewater PAH concentrations, indicating reduced PAH bioavailability in field sediments. Toxic units derived using the new BE method were more conservative than EqP in one-third of the sediments investigated, which was attributed to unquantified sediment contaminants, possible fiber fouling in the more contaminated sediments, and potential background interferences in less contaminated sediments. Preliminary data are also presented, showing that fluorometric analysis provides a simpler, promising alternative for estimating sediment BE concentrations. Based on this analysis, a decision-support framework is proposed using EqP and BE based TU metrics. Future research priorities are described for supporting framework implementation and extending use of BE analyses to remedial design and monitoring.

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引用次数: 0
Evaluation of interspecies correlation estimation models to increase taxonomic diversity while reducing reliance on animal testing for chemicals evaluated under the Toxic Substances Control Act.
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1093/inteam/vjae006
Sandy Raimondo, Crystal R Lilavois, S Lexi Nelson, Kara Koehrn, Kellie Fay, Karen Eisenreich, Emily Vebrosky Nolan, Chris Green, James Bressette

The U.S. Environmental Protection Agency is committed to the implementation of new approach methodologies (NAMs) to enhance the scientific basis for chemical hazard assessments. Chemical evaluations under the Toxic Substance Control Act (TSCA) are often conducted with limited test data and are well suited for NAMs applications. Interspecies correlation estimation (ICE) models are log-linear least squares regressions of the sensitivity between two species that estimate the acute toxicity of an untested species from the sensitivity of a surrogate. Interspecies correlation estimation models have been developed from and validated for diverse chemical modes of action, but their application in TSCA chemical assessments has not been previously evaluated. We use ICE models and a dataset of measured acute values for five chemicals, increasing the taxonomic diversity from which concentrations of concern (CoCs) are derived. Concentrations of concern were developed using approaches typically applied in TSCA risk evaluations, including application of assessment factors to the most sensitive species and the development of species sensitivity distributions where a minimum of eight species are represented by measured data. These CoCs were compared with those derived from datasets supplemented with ICE-predicted values, as well as comparing ICE predicted species mean acute values (SMAVs) to their respective measured values. Interspecies correlation estimation models predicted SMAVs within a factor of 5 and 10 for 87% and 92% of measured values, respectively. The CoCs developed from measured data only and data supplemented with ICE predicted toxicity were generally within five-fold, showing comparable protection. The taxonomic diversity in the ICE supplemented dataset was substantially higher than the measured data for species sensitivity distributions, providing a data-driven way of reducing uncertainty and potentially reducing the need for assessment factors. Interspecies correlation estimation models show promise as a NAM to improve the taxonomic representation included in chemical evaluations under TSCA.

{"title":"Evaluation of interspecies correlation estimation models to increase taxonomic diversity while reducing reliance on animal testing for chemicals evaluated under the Toxic Substances Control Act.","authors":"Sandy Raimondo, Crystal R Lilavois, S Lexi Nelson, Kara Koehrn, Kellie Fay, Karen Eisenreich, Emily Vebrosky Nolan, Chris Green, James Bressette","doi":"10.1093/inteam/vjae006","DOIUrl":"https://doi.org/10.1093/inteam/vjae006","url":null,"abstract":"<p><p>The U.S. Environmental Protection Agency is committed to the implementation of new approach methodologies (NAMs) to enhance the scientific basis for chemical hazard assessments. Chemical evaluations under the Toxic Substance Control Act (TSCA) are often conducted with limited test data and are well suited for NAMs applications. Interspecies correlation estimation (ICE) models are log-linear least squares regressions of the sensitivity between two species that estimate the acute toxicity of an untested species from the sensitivity of a surrogate. Interspecies correlation estimation models have been developed from and validated for diverse chemical modes of action, but their application in TSCA chemical assessments has not been previously evaluated. We use ICE models and a dataset of measured acute values for five chemicals, increasing the taxonomic diversity from which concentrations of concern (CoCs) are derived. Concentrations of concern were developed using approaches typically applied in TSCA risk evaluations, including application of assessment factors to the most sensitive species and the development of species sensitivity distributions where a minimum of eight species are represented by measured data. These CoCs were compared with those derived from datasets supplemented with ICE-predicted values, as well as comparing ICE predicted species mean acute values (SMAVs) to their respective measured values. Interspecies correlation estimation models predicted SMAVs within a factor of 5 and 10 for 87% and 92% of measured values, respectively. The CoCs developed from measured data only and data supplemented with ICE predicted toxicity were generally within five-fold, showing comparable protection. The taxonomic diversity in the ICE supplemented dataset was substantially higher than the measured data for species sensitivity distributions, providing a data-driven way of reducing uncertainty and potentially reducing the need for assessment factors. Interspecies correlation estimation models show promise as a NAM to improve the taxonomic representation included in chemical evaluations under TSCA.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":"21 1","pages":"184-194"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143065359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
The influence of sampling method and season on modeling of selenium into coldwater fish and implications on tissue-based water quality benchmarks. 采样方法和季节对冷水鱼类硒建模的影响以及对基于组织的水质基准的影响。
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1002/ieam.4859
Maíra Peixoto Mendes, Beatriz Cupe-Flores, Katherine Woolhouse, Stacey Fernandes, Karsten Liber

Selenium (Se) contamination of aquatic ecosystems has led to the local extirpation of some Se-sensitive fish species. Although Se exposure occurs primarily via diet, considerable uncertainty lies in modeling Se transfer and bioaccumulation from sediment, detritus, and/or periphyton through benthic macroinvertebrates (BMI) to fish. Here we estimated Se concentrations in four coldwater fish species (northern pike, white sucker, lake whitefish, and ninespine stickleback) inhabiting boreal lakes downstream from a uranium mill in northern Canada. In addition, we evaluated the potential effects of BMI and periphyton sampling methods (artificial substrates vs. grab samples), seasons (summer vs. winter), and models (USEPA vs. Assessment of the Dispersion and Effects of Parameter Transport) on the estimated Se concentrations in fish tissue. Results were compared with site-specific benchmarks and observed Se concentrations in resident fish. In summer 2019, periphyton and BMI were sampled at 10 sampling stations (two in Vulture Lake and eight in McClean Lake) using artificial substrates (n = 4) and sediment grab samples (n = 3). In winter 2021, samples were collected in McClean Lake (n = 3) through ice holes using a sediment grab sampler. Estimated Se concentrations in fish tissue depended on the surface sediment or periphyton Se concentrations used in the models. At Vulture Lake, Se concentrations in northern pike muscle estimated using the grab sample data (17.3 ± 11.5 µg/g DW), but not the artificial substrates (34.5 ± 1.2 µg/g DW), were comparable with the observed mean concentration (19.0 ± 1.4 µg/g DW) in this species. At McClean Lake, Se body burdens in forage fish estimated using data from both sampling methods were comparable with measured data. Significantly lower mean whole-body Se concentrations were estimated for all fish species in winter (1.0 ± 0.3 µg/g DW) relative to summer (4.8 ± 1.6 µg/g DW). Further investigation is necessary to understand how potential seasonal shifts in dietary Se exposure relate to fish reproduction and early life stages.

水生生态系统的硒污染已导致一些对硒敏感的鱼类物种在当地灭绝。尽管硒暴露主要通过饮食发生,但在模拟硒从沉积物/碎屑/外周生物通过底栖大型无脊椎动物(BMI)向鱼类的转移和生物累积方面存在相当大的不确定性。在这里,我们估计了居住在加拿大北部铀工厂下游北方湖泊中的四种冷水鱼类(北方梭子鱼、白吸盘鱼、湖白鱼和九棘刺鱼)的硒浓度。此外,我们还评估了BMI和外周生物采样方法(人工基质与抓取样本)、季节(夏季与冬季)和模型(美国环保局与ADEPT)对鱼类组织中硒浓度估计的潜在影响。将结果与特定地点的基准和观察到的常驻鱼类中的Se浓度进行比较。2019年夏天,在10个采样站(秃鹫湖2个,麦克莱恩湖8个)使用人工基质(n=4)和沉积物采集样本(n=3)对外围生物和BMI进行了采样。2021年冬天,在麦克莱恩湖(n=3)通过冰洞使用沉积物抓斗采样器采集样本。鱼类组织中估计的硒浓度取决于模型中使用的表层沉积物或外周生物硒浓度。在秃鹫湖,使用抓取样本数据(17.3±11.5µg/g d.w.)估计的北部梭子鱼肌肉中的硒浓度(而不是人工基质(34.5±1.2µg/g d.w.))与该物种中观察到的平均浓度(19.0±1.4µg/g d.w.)相当。在麦克莱恩湖,使用两种采样方法的数据估计的饲料鱼硒体负担与测量数据相当。据估计,与夏季(4.8±1.6µg/g d.w)相比,所有鱼类在冬季(1.0±0.3µg/g d.w)的全身硒平均浓度显著较低。有必要进行进一步调查,以了解饮食硒暴露的潜在季节变化与鱼类繁殖和生命早期阶段的关系。
{"title":"The influence of sampling method and season on modeling of selenium into coldwater fish and implications on tissue-based water quality benchmarks.","authors":"Maíra Peixoto Mendes, Beatriz Cupe-Flores, Katherine Woolhouse, Stacey Fernandes, Karsten Liber","doi":"10.1002/ieam.4859","DOIUrl":"10.1002/ieam.4859","url":null,"abstract":"<p><p>Selenium (Se) contamination of aquatic ecosystems has led to the local extirpation of some Se-sensitive fish species. Although Se exposure occurs primarily via diet, considerable uncertainty lies in modeling Se transfer and bioaccumulation from sediment, detritus, and/or periphyton through benthic macroinvertebrates (BMI) to fish. Here we estimated Se concentrations in four coldwater fish species (northern pike, white sucker, lake whitefish, and ninespine stickleback) inhabiting boreal lakes downstream from a uranium mill in northern Canada. In addition, we evaluated the potential effects of BMI and periphyton sampling methods (artificial substrates vs. grab samples), seasons (summer vs. winter), and models (USEPA vs. Assessment of the Dispersion and Effects of Parameter Transport) on the estimated Se concentrations in fish tissue. Results were compared with site-specific benchmarks and observed Se concentrations in resident fish. In summer 2019, periphyton and BMI were sampled at 10 sampling stations (two in Vulture Lake and eight in McClean Lake) using artificial substrates (n = 4) and sediment grab samples (n = 3). In winter 2021, samples were collected in McClean Lake (n = 3) through ice holes using a sediment grab sampler. Estimated Se concentrations in fish tissue depended on the surface sediment or periphyton Se concentrations used in the models. At Vulture Lake, Se concentrations in northern pike muscle estimated using the grab sample data (17.3 ± 11.5 µg/g DW), but not the artificial substrates (34.5 ± 1.2 µg/g DW), were comparable with the observed mean concentration (19.0 ± 1.4 µg/g DW) in this species. At McClean Lake, Se body burdens in forage fish estimated using data from both sampling methods were comparable with measured data. Significantly lower mean whole-body Se concentrations were estimated for all fish species in winter (1.0 ± 0.3 µg/g DW) relative to summer (4.8 ± 1.6 µg/g DW). Further investigation is necessary to understand how potential seasonal shifts in dietary Se exposure relate to fish reproduction and early life stages.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":"39-51"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71423359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Regulatory issues surrounding the management of selenium-introduction to a special series of papers.
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1093/inteam/vjae005
Guy Gilron, Vince Palace

Selenium (Se) is a naturally occurring metalloid in soils and rocks that is released by weathering processes; it is also enriched by some anthropogenic activities, including mining and agriculture. The mechanism of Se aquatic toxicity has been understood for several decades; at elevated concentrations, dietary Se can accumulate in maternal tissues of fish and birds, become deposited into their eggs, and can potentially result in impaired embryological development. North American environmental regulations have acknowledged differences in species sensitivity and variation among aquatic environments (i.e., lentic and lotic) that influence Se toxicity. The above subjects were thoroughly reviewed in a state-of-science SETAC Pellston workshop and book, entitled Ecological assessment of selenium in the aquatic environment, published in 2010. Since the publication of that book, regulatory guidance in North America has evolved further to enhance the protection of aquatic life exposed to Se. This IEAM special series entitled "Regulatory issues surrounding the management of selenium" is a compilation of recent research and reviews from North American experts addressing critical environmental, physiological, and operational factors warranting consideration in support of Se regulatory frameworks.

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引用次数: 0
RGB sensor integrated into unmanned aerial vehicle for monitoring cyanobacterial density in reservoirs.
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1093/inteam/vjae003
Will Jones Moura Soares da Silva, Alex Bruno da Silva Farias, Janiele França Nery, Emanuel Araújo Silva, Renato José Reis Molica

The proliferation of cyanobacteria has become a significant water management challenge due to the increasing eutrophication of water supply reservoirs. Cyanobacterial blooms thrive on elevated nutrient concentrations and form extensive green mats, disrupting the local ecosystem. Furthermore, many cyanobacterial species can produce toxins that are lethal to vertebrates called cyanotoxins. Traditional monitoring methods are inefficient for assessing water quality in reservoirs as a whole, given that sampling is only carried out in the catchment area for the public water supply, which exposes the population to the risk of contamination due to the multiple uses of these reservoirs. Therefore, novel monitoring methods supported by recent technological advances, such as the use of unmanned aerial vehicles (UAVs), are being tested for their effectiveness in monitoring cyanobacterial densities in aquatic ecosystems. This study analyzed UAV images of two water supply reservoirs to assess the effectiveness in monitoring cyanobacterial density. The UAVs were equipped with RGB sensors and flew over the study areas on the same day and at the same locations as water sampling performed for the determination of phytoplankton density, biovolume and chlorophyll-a. The phytoplankton community was dominated by cyanobacteria in both reservoirs. High coefficients of determination were obtained in the predictive models for chlorophyll-a concentration (r2 = 0.92), total phytoplankton and cyanobacterial densities (r2 = 0.89 and r2 = 0.97, respectively), and total phytoplankton and cyanobacterial biovolumes (r2 = 0.96 for both). Applying the predictive models to the orthomosaics generated from the UAV RGB images enabled the visualization of the spatial distribution of the phytoplankton and cyanobacterial biomass through distribution maps. This method has potential application in the management of water bodies that are crucial to the public water supply.

{"title":"RGB sensor integrated into unmanned aerial vehicle for monitoring cyanobacterial density in reservoirs.","authors":"Will Jones Moura Soares da Silva, Alex Bruno da Silva Farias, Janiele França Nery, Emanuel Araújo Silva, Renato José Reis Molica","doi":"10.1093/inteam/vjae003","DOIUrl":"https://doi.org/10.1093/inteam/vjae003","url":null,"abstract":"<p><p>The proliferation of cyanobacteria has become a significant water management challenge due to the increasing eutrophication of water supply reservoirs. Cyanobacterial blooms thrive on elevated nutrient concentrations and form extensive green mats, disrupting the local ecosystem. Furthermore, many cyanobacterial species can produce toxins that are lethal to vertebrates called cyanotoxins. Traditional monitoring methods are inefficient for assessing water quality in reservoirs as a whole, given that sampling is only carried out in the catchment area for the public water supply, which exposes the population to the risk of contamination due to the multiple uses of these reservoirs. Therefore, novel monitoring methods supported by recent technological advances, such as the use of unmanned aerial vehicles (UAVs), are being tested for their effectiveness in monitoring cyanobacterial densities in aquatic ecosystems. This study analyzed UAV images of two water supply reservoirs to assess the effectiveness in monitoring cyanobacterial density. The UAVs were equipped with RGB sensors and flew over the study areas on the same day and at the same locations as water sampling performed for the determination of phytoplankton density, biovolume and chlorophyll-a. The phytoplankton community was dominated by cyanobacteria in both reservoirs. High coefficients of determination were obtained in the predictive models for chlorophyll-a concentration (r2 = 0.92), total phytoplankton and cyanobacterial densities (r2 = 0.89 and r2 = 0.97, respectively), and total phytoplankton and cyanobacterial biovolumes (r2 = 0.96 for both). Applying the predictive models to the orthomosaics generated from the UAV RGB images enabled the visualization of the spatial distribution of the phytoplankton and cyanobacterial biomass through distribution maps. This method has potential application in the management of water bodies that are crucial to the public water supply.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":"21 1","pages":"131-140"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143065436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Racing against an accelerating Climate Clock: it's all hands on deck.
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1093/inteam/vjae018
Sabine E Apitz
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引用次数: 0
The European regulatory system for plant protection products-cause of a "Silent Spring" or highly advanced and protective?
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1093/inteam/vjae007
Carola Schriever, Bernhard Jene, Herbert Resseler, Robert Spatz, Robin Sur, Arnd Weyers, Mark Winter

Current publications that are shaping public perception repeatedly claim that residues of plant protection products (PPP) in the environment demonstrate gaps in assessing the exposure and effects of PPP, allegedly revealing the inability of the European regulatory system to prevent environmental contamination and damage such as biodiversity decline. The hypothesis is that environmental risk assessments rely on inappropriate predictive models that underestimate exposure and do not explicitly account for the impact of combinations of environmental stressors and physiological differences in stress responses. This article puts this criticism into context to allow for a more balanced evaluation of the European regulatory system for PPP. There is broad consensus that the decline in biodiversity is real. This article analyzed current literature for causes of this decline and of chemical contamination. The main drivers identified were land use changes and structural uniformity of agricultural landscapes or multiple contaminants emitted by various sources such as wastewater discharge systems. Comparing measured environmental concentrations from published monitoring studies with exposure predictions from the regulatory risk assessment reveals only slight occasional exceedances for a few environmental scenarios and compounds. Therefore, the call for greater conservatism in the European authorization process for PPPs will not lead to an improvement in the environmental situation. We suggest enhancing landscape diversity through the European Union Common Agricultural Policy and reducing contamination from wastewater and farmyard effluents. The current regulatory risk management toolbox should be expanded to include flexible localized mitigation measures and treatment options to reduce applied amounts and off-target exposure.

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引用次数: 0
Guidance on assessing the potential impacts of selenium in freshwater ecosystems. 淡水生态系统中硒的潜在影响评估指南。
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1002/ieam.4969
Vince Palace, Stephanie Graves, Jessica Brandt

Despite decades of fate and effects studies, environmental selenium (Se) contamination and management remain an issue for many freshwater systems in North America. Several regulatory bodies have promulgated updated targets or management levels for Se; however, additional guidance on best practices for monitoring Se to protect freshwater aquatic life is warranted. In this article, we describe current approaches to assessing the ecological risks of Se in impaired freshwater systems and outline recommended methods for collecting and analyzing biological and abiotic samples and interpreting data. Because reproductive impairment of fish populations is most commonly used to determine the potential impacts of Se, several biological factors that could affect Se toxicity are explored, including diet, trophic positions, reproductive biology, body size and maturity, migratory movements, and use of seasonal habitats. Measuring Se concentrations in mature eggs is the most reliable metric for estimating potential reproductive impairment in fish populations because the range of toxicity thresholds is relatively narrow for all but a few tolerant fish species. In situations where collecting mature eggs is not feasible, we review the use of alternative fish tissue for estimating potential effects. Factors affecting Se uptake from freshwater are also considered with guidance on collecting abiotic (e.g., water and sediment) and biotic components of aquatic food webs (e.g., macroinvertebrates, biofilm).

尽管进行了数十年的转归和影响研究,环境硒(Se)污染和管理仍然是北美许多淡水系统面临的问题。一些监管机构已经颁布了硒的最新目标或管理水平;然而,还需要更多有关监测硒的最佳实践的指导,以保护淡水水生生物。在这篇文章中,我们介绍了目前评估受损淡水系统中 Se 的生态风险的方法,并概述了收集和分析生物及非生物样本以及解释数据的推荐方法。由于鱼类种群的生殖损伤最常用于确定 Se 的潜在影响,因此我们探讨了可能影响 Se 毒性的几个生物因素,包括饮食、营养位置、生殖生物学、体型和成熟度、洄游运动以及季节性栖息地的使用。测量成熟鱼卵中的 Se 浓度是估计鱼类种群潜在生殖损伤的最可靠指标,因为除少数耐受性鱼类外,所有鱼类的毒性阈值范围都相对较窄。在收集成熟鱼卵不可行的情况下,我们审查了使用替代鱼组织来估计潜在影响的方法。我们还考虑了影响淡水中 Se 吸收的因素,并就收集非生物(如水和沉积物)和水生食物网的生物成分(如大型无脊椎动物、生物膜)提供了指导。集成环境评估管理 2024;00:1-16。© 2024 SETAC.
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引用次数: 0
Assessing the sustainable development in the European Union: influence of municipal waste, industrial waste, and waste related patents.
IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1093/inteam/vjae009
Selin Karlilar Pata, Ugur Korkut Pata

Waste has emerged as a pressing concern for the environment, primarily stemming from the processes of urbanization and industrialization. The substantial volumes of waste generated pose a serious threat to the environment, as they spread out harmful substances in the soil and release methane emissions into the atmosphere. To effectively address this issue, this study explores the impact of municipal and industrial waste, as well as waste-related innovation on the load capacity factor (LCF) from 2005 to 2020. For this purpose, the augmented mean group method and the half panel jackknife causality approach were conducted by using panel data from 17 European countries. The empirical findings show that (1) the load capacity curve (LCC) hypothesis is confirmed; (2) municipal and industrial waste have a detrimental effect on the LCF; and (3) innovation in waste management practices have no discernible impact on the LCF. In light of these findings, this study emphasizes the importance of efficient waste management for European countries to exploit the potential of waste as a valuable resource rather than a cause of pollution.

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引用次数: 0
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Integrated Environmental Assessment and Management
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