Pub Date : 2024-11-16DOI: 10.1016/j.jenvman.2024.123338
Linn Berglund , Luisa Rosenstock Völtz , Timon Gehrmann , Io Antonopoulou , Carmen Cristescu , Shaojun Xiong , Pooja Dixit , Carlos Martín , Ola Sundman , Kristiina Oksman
Utilization of biomass and reuse of industrial by-products and their sustainable and resource-efficient development into products that are inherently non-toxic is important to reduce the use of hazardous substances in the design, manufacture and application of biomaterials. The hypothesis in this study is that spent mushroom substrate (SMS), a by-product from mushroom production, has already undergone a biological pretreatment and thus, can be used directly as a starting material for fibrillation into value-added and functional biomaterial, without the use of toxic substances. The study show that SMS can be effectively fibrillated at a very high concentration of 6.5 wt % into fibrils using an energy demand of only 1.7 kWh kg−1, compared to commercial and chemically pretreated wood pulp at 8 kWh kg−1, under same processing conditions. SMS is a promising resource for fibrillation with natural antioxidant activity and network formation ability, which are of interest to explore further in applications such as packaging. The study shows that biological pretreatment can offer lower environmental impact related to toxic substances emitted to the environment and thus contribute to reduced impacts on categories such as water organisms, human health, terrestrial organisms, and terrestrial plants compared to chemical pretreatments.
{"title":"The use of spent mushroom substrate as biologically pretreated wood and its fibrillation","authors":"Linn Berglund , Luisa Rosenstock Völtz , Timon Gehrmann , Io Antonopoulou , Carmen Cristescu , Shaojun Xiong , Pooja Dixit , Carlos Martín , Ola Sundman , Kristiina Oksman","doi":"10.1016/j.jenvman.2024.123338","DOIUrl":"10.1016/j.jenvman.2024.123338","url":null,"abstract":"<div><div>Utilization of biomass and reuse of industrial by-products and their sustainable and resource-efficient development into products that are inherently non-toxic is important to reduce the use of hazardous substances in the design, manufacture and application of biomaterials. The hypothesis in this study is that spent mushroom substrate (SMS), a by-product from mushroom production, has already undergone a biological pretreatment and thus, can be used directly as a starting material for fibrillation into value-added and functional biomaterial, without the use of toxic substances. The study show that SMS can be effectively fibrillated at a very high concentration of 6.5 wt % into fibrils using an energy demand of only 1.7 kWh kg<sup>−1</sup>, compared to commercial and chemically pretreated wood pulp at 8 kWh kg<sup>−1</sup>, under same processing conditions. SMS is a promising resource for fibrillation with natural antioxidant activity and network formation ability, which are of interest to explore further in applications such as packaging. The study shows that biological pretreatment can offer lower environmental impact related to toxic substances emitted to the environment and thus contribute to reduced impacts on categories such as water organisms, human health, terrestrial organisms, and terrestrial plants compared to chemical pretreatments.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123338"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643626","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}
Pub Date : 2024-11-16DOI: 10.1016/j.jenvman.2024.123222
Xusheng Zheng , Jingjing Tong , Shufang Zhou , Yanping Liu , Guangqing Liu , Dexun Zou
Microbial remediation has become an environmental-friendly and promising remediation method for Hexavalent chromium [Cr(VI)] contaminated soils. However, it is hard for exogenous microorganisms to adapt to different contaminated soils. In this study, Cr(VI) contaminated soils were remediated by the indigenous iron reducing bacteria and Cr(VI) reducing bacteria under the stimulation of sodium lactate, ferrihydrite and humic acid. The Cr(VI) removal rates of contaminated soils with the Cr(VI) concentration of 2234.92 mg/kg reached 71.61% on the 24th day with a sodium lactate dosage of 5.80%, a ferrihydrite dosage of 2.00% and a humic acid dosage of 0.93% that obtained after the optimization of Box-Benhnken design. The total abundance of iron reducing bacteria and Cr(VI) reducing bacteria increased from 9.78% to 64.64% after the remediation. Bacillus, Salipaludibacillus, Gracilibacillus, Virgibacillus and Delftia played a critical role in the remediation. Adding the above three exogenous substances to Cr(VI) contaminated soils in other three regions still had an excellent remediation effect. When the initial Cr(VI) concentrations were no more than 1000 mg/kg, they could decrease to below 60.53 mg/kg after the remediation of 24 days. The Cr(VI) removal rate could still reach 89.49% even if the initial concentration exceeded 2000 mg/kg. Our results provide an attractive strategy to utilize indigenous microorganisms to remediate Cr(VI) contaminated soils.
{"title":"Remediation of hexavalent chromium contaminated soils by stimulating indigenous microorganisms: Optimization, community succession and applicability","authors":"Xusheng Zheng , Jingjing Tong , Shufang Zhou , Yanping Liu , Guangqing Liu , Dexun Zou","doi":"10.1016/j.jenvman.2024.123222","DOIUrl":"10.1016/j.jenvman.2024.123222","url":null,"abstract":"<div><div>Microbial remediation has become an environmental-friendly and promising remediation method for Hexavalent chromium [Cr(VI)] contaminated soils. However, it is hard for exogenous microorganisms to adapt to different contaminated soils. In this study, Cr(VI) contaminated soils were remediated by the indigenous iron reducing bacteria and Cr(VI) reducing bacteria under the stimulation of sodium lactate, ferrihydrite and humic acid. The Cr(VI) removal rates of contaminated soils with the Cr(VI) concentration of 2234.92 mg/kg reached 71.61% on the 24th day with a sodium lactate dosage of 5.80%, a ferrihydrite dosage of 2.00% and a humic acid dosage of 0.93% that obtained after the optimization of Box-Benhnken design. The total abundance of iron reducing bacteria and Cr(VI) reducing bacteria increased from 9.78% to 64.64% after the remediation. <em>Bacillus</em>, <em>Salipaludibacillus</em>, <em>Gracilibacillus</em>, <em>Virgibacillus</em> and <em>Delftia</em> played a critical role in the remediation. Adding the above three exogenous substances to Cr(VI) contaminated soils in other three regions still had an excellent remediation effect. When the initial Cr(VI) concentrations were no more than 1000 mg/kg, they could decrease to below 60.53 mg/kg after the remediation of 24 days. The Cr(VI) removal rate could still reach 89.49% even if the initial concentration exceeded 2000 mg/kg. Our results provide an attractive strategy to utilize indigenous microorganisms to remediate Cr(VI) contaminated soils.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123222"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643700","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}
Pub Date : 2024-11-16DOI: 10.1016/j.jenvman.2024.123325
Shuai Wang , Xiaodong Du , Ruisi Yin , Haihang Sun , Bowen Song , Qi Han , Jingjing Wang , Yubao Huang
Co-composting is the controlled aerobic degradation of organics, using more than one feedstock. By combining the spent mushroom substrate of Pholiota nameko (SMS) and pig manure (PM), the benefits of each could be used to optimize the composting process and the final product. This study introduced a comprehensive evaluation strategy aimed at identifying the optimal co-composting ratio for these two substrates. A 120-day composting trial was conducted, blending SMS and PM in various ratios to evaluate the benefits of co-composting SMS-PM. The results indicated that dissolved organic matter (DOM) in SMS-derived compost primarily originated from plants, whereas PM-derived compost predominantly consisted of microbial metabolic products, and co-composting combined both sources. An increase in aromaticity and humification degree of DOM occurred during the composting process itself rather than being derived from autochthonous origin. Carbohydrates like phenols and alcohols broke down during composting, and microbes utilized polysaccharides as an energy source for humus formation. As co-composting progressed, the treatments with varying mass ratios of SMS to PM, including 8:2, 7:3, 6:4, 5:5, 4:6, and 3:7 were observed to result in a decline in aliphatic hydroxylated chains alongside an enhancement in aromaticity within the compost. Additionally, there was a conversion from organic carbon (C) to carboxyl C within humic acid (HA) due to oxidation and dehydrogenation processes that facilitated the formation of stable nitrogen-containing compounds characterized by condensed aromatic structures. Following thorough evaluation, it was determined that optimal composting efficacy occurred at a mass ratio of SMS to PM equal to 6:4. Post-compost analysis revealed increases in nutrient content; specifically, germination index (GI) value reached 132.7%, while organic matter content attained 45.3%. Conversely, electrical conductivity (EC), C contents of water-soluble substances and humin (Cwss and CHu) decreased by approximately 11.8%, 73.4%, and 29.8% respectively; meanwhile, C contents of humic-extracted acid and HA (CHE and CHA), along with degree of polymerization (DP), increased by 17.3%, 20.3% and 9.9% respectively. The proposed co-compost formula not only facilitated simultaneous recycling of both SMS and PM waste but also transformed them into high-quality organic fertilizers suitable for soil enrichment—effectively addressing challenges faced by both edible fungi cultivation and livestock industries while augmenting organic fertilizer sources for Black land protection.
{"title":"Performance of co-composting Pholiota nameko spent mushroom substrate and pig manure at different proportions: Chemical properties and humification process","authors":"Shuai Wang , Xiaodong Du , Ruisi Yin , Haihang Sun , Bowen Song , Qi Han , Jingjing Wang , Yubao Huang","doi":"10.1016/j.jenvman.2024.123325","DOIUrl":"10.1016/j.jenvman.2024.123325","url":null,"abstract":"<div><div>Co-composting is the controlled aerobic degradation of organics, using more than one feedstock. By combining the spent mushroom substrate of <em>Pholiota nameko</em> (SMS) and pig manure (PM), the benefits of each could be used to optimize the composting process and the final product. This study introduced a comprehensive evaluation strategy aimed at identifying the optimal co-composting ratio for these two substrates. A 120-day composting trial was conducted, blending SMS and PM in various ratios to evaluate the benefits of co-composting SMS-PM. The results indicated that dissolved organic matter (DOM) in SMS-derived compost primarily originated from plants, whereas PM-derived compost predominantly consisted of microbial metabolic products, and co-composting combined both sources. An increase in aromaticity and humification degree of DOM occurred during the composting process itself rather than being derived from autochthonous origin. Carbohydrates like phenols and alcohols broke down during composting, and microbes utilized polysaccharides as an energy source for humus formation. As co-composting progressed, the treatments with varying mass ratios of SMS to PM, including 8:2, 7:3, 6:4, 5:5, 4:6, and 3:7 were observed to result in a decline in aliphatic hydroxylated chains alongside an enhancement in aromaticity within the compost. Additionally, there was a conversion from organic carbon (C) to carboxyl C within humic acid (HA) due to oxidation and dehydrogenation processes that facilitated the formation of stable nitrogen-containing compounds characterized by condensed aromatic structures. Following thorough evaluation, it was determined that optimal composting efficacy occurred at a mass ratio of SMS to PM equal to 6:4. Post-compost analysis revealed increases in nutrient content; specifically, germination index (GI) value reached 132.7%, while organic matter content attained 45.3%. Conversely, electrical conductivity (EC), C contents of water-soluble substances and humin (Cwss and C<sub>Hu</sub>) decreased by approximately 11.8%, 73.4%, and 29.8% respectively; meanwhile, C contents of humic-extracted acid and HA (C<sub>HE</sub> and C<sub>HA</sub>), along with degree of polymerization (DP), increased by 17.3%, 20.3% and 9.9% respectively. The proposed co-compost formula not only facilitated simultaneous recycling of both SMS and PM waste but also transformed them into high-quality organic fertilizers suitable for soil enrichment—effectively addressing challenges faced by both edible fungi cultivation and livestock industries while augmenting organic fertilizer sources for Black land protection.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123325"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643672","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}
Pub Date : 2024-11-16DOI: 10.1016/j.jenvman.2024.123334
Harmeet Kaur , Dinesh Goyal
Lignocellulosic biomass is a sustainable alternative to finite petroleum resources, with lignin emerging as a major component of biomass for producing circular economy products. Maximizing extraction and valorization of lignin to platform chemicals, biofuels, and bioactive compounds is crucial. Unlocking lignin's full potential lies in exploring the therapeutic properties of lignin-derived phenolics, which can definitely boost the economic viability of integrated biorefineries. This review provides a broad vision of lignin valorization stages, covering various techniques of its extraction from lignocellulosic biomass with high yield and purity and its further depolymerization to phenolics. Therapeutic potential of lignin-derived phenols as antioxidants, antimicrobials, anti-inflammatory, and anticancer agents is comprehensively discussed. Lignin, with high phenolic hydroxyl content up to 97% purity, can be extracted using deep eutectic solvents (DES) and organosolv processes. Oxidative and reductive catalytic depolymerization methods efficiently break down lignin into valuable phenolic compounds like alkyl phenolics and vanillin, even at mild temperatures, making them a preferred choice for lignin valorization. Potential of lignin derived phenolics as versatile bioactive compounds with health promoting benefits is highlighted. Phenolics such as vanillin, ferulic acid, and syringic acid have demonstrated the ability to modulate cellular pathways involved in the pathogenesis of diseases like cancer and diabetes. The interplay between high purity lignin extraction and therapeutic potential of lignin-derived phenolics unveils a new frontier in sustainable healthcare solutions.
{"title":"Lignin extraction from lignocellulosic biomass and its valorization to therapeutic phenolic compounds","authors":"Harmeet Kaur , Dinesh Goyal","doi":"10.1016/j.jenvman.2024.123334","DOIUrl":"10.1016/j.jenvman.2024.123334","url":null,"abstract":"<div><div>Lignocellulosic biomass is a sustainable alternative to finite petroleum resources, with lignin emerging as a major component of biomass for producing circular economy products. Maximizing extraction and valorization of lignin to platform chemicals, biofuels, and bioactive compounds is crucial. Unlocking lignin's full potential lies in exploring the therapeutic properties of lignin-derived phenolics, which can definitely boost the economic viability of integrated biorefineries. This review provides a broad vision of lignin valorization stages, covering various techniques of its extraction from lignocellulosic biomass with high yield and purity and its further depolymerization to phenolics. Therapeutic potential of lignin-derived phenols as antioxidants, antimicrobials, anti-inflammatory, and anticancer agents is comprehensively discussed. Lignin, with high phenolic hydroxyl content up to 97% purity, can be extracted using deep eutectic solvents (DES) and organosolv processes. Oxidative and reductive catalytic depolymerization methods efficiently break down lignin into valuable phenolic compounds like alkyl phenolics and vanillin, even at mild temperatures, making them a preferred choice for lignin valorization. Potential of lignin derived phenolics as versatile bioactive compounds with health promoting benefits is highlighted. Phenolics such as vanillin, ferulic acid, and syringic acid have demonstrated the ability to modulate cellular pathways involved in the pathogenesis of diseases like cancer and diabetes. The interplay between high purity lignin extraction and therapeutic potential of lignin-derived phenolics unveils a new frontier in sustainable healthcare solutions.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123334"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646385","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}
This study focuses on modelling sustainable concretes' mechanical and environmental properties with interpretable artificial intelligence-based automated rule extraction, management of waste materials, and meeting future prospects. In this context, 24 sustainable concrete series containing fly ash and recycled aggregates were produced. Compressive strength tests were performed on these specimens at 7, 28, and 90 days, and their mechanical properties were evaluated. Concrete classes (Class A, B, C, D) were determined using the compressive strength values obtained for each test day. The results of each concrete class were analyzed using a unique interpretable multi-objective rule extraction model, and the range values of the materials used were determined. The applied multi-objective rule extraction method is used for the first time in the literature, and its most important novelty is that, unlike other black-box artificial intelligence methods, it can also enable the creation of sustainable concrete recipes. After the range values of the materials used were found by automatic rule extraction, environmental impact assessments were performed. Among the impact categories, energy consumption and global warming potential were considered. The energy consumption results for Rule 4 were calculated as 814.8–1467.1 MJ, respectively, and a reduction of approximately 44.5% was observed. Similarly, global warming potentials for Rule 3 were obtained as 187.0–267.3 kg m3, respectively, with a reduction of about 30%. The limitations and future prospects of the study have been extensively investigated. The importance of adopting explainable/interpretable artificial intelligence-based approaches within the scope of sustainable development and circular economy goals to develop social infrastructure and buildings with low carbon emissions that are feasible in terms of mechanical and environmental properties is highlighted. Multi-Objective Optimization Based Innovative Interpretable Artificial Intelligence Method, used for the first time in mechanical and environmental modelling of sustainable concretes, can make significant contributions to the literature and future studies.
{"title":"Modelling and evaluation of mechanical performance and environmental impacts of sustainable concretes using a multi-objective optimization based innovative interpretable artificial intelligence method","authors":"Muhammed Ulucan , Güngör Yildirim , Bilal Alatas , Kürsat Esat Alyamac","doi":"10.1016/j.jenvman.2024.123364","DOIUrl":"10.1016/j.jenvman.2024.123364","url":null,"abstract":"<div><div>This study focuses on modelling sustainable concretes' mechanical and environmental properties with interpretable artificial intelligence-based automated rule extraction, management of waste materials, and meeting future prospects. In this context, 24 sustainable concrete series containing fly ash and recycled aggregates were produced. Compressive strength tests were performed on these specimens at 7, 28, and 90 days, and their mechanical properties were evaluated. Concrete classes (Class A, B, C, D) were determined using the compressive strength values obtained for each test day. The results of each concrete class were analyzed using a unique interpretable multi-objective rule extraction model, and the range values of the materials used were determined. The applied multi-objective rule extraction method is used for the first time in the literature, and its most important novelty is that, unlike other black-box artificial intelligence methods, it can also enable the creation of sustainable concrete recipes. After the range values of the materials used were found by automatic rule extraction, environmental impact assessments were performed. Among the impact categories, energy consumption and global warming potential were considered. The energy consumption results for Rule 4 were calculated as 814.8–1467.1 MJ, respectively, and a reduction of approximately 44.5% was observed. Similarly, global warming potentials for Rule 3 were obtained as 187.0–267.3 kg m<sup>3</sup>, respectively, with a reduction of about 30%. The limitations and future prospects of the study have been extensively investigated. The importance of adopting explainable/interpretable artificial intelligence-based approaches within the scope of sustainable development and circular economy goals to develop social infrastructure and buildings with low carbon emissions that are feasible in terms of mechanical and environmental properties is highlighted. Multi-Objective Optimization Based Innovative Interpretable Artificial Intelligence Method, used for the first time in mechanical and environmental modelling of sustainable concretes, can make significant contributions to the literature and future studies.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123364"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646398","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}
Pub Date : 2024-11-16DOI: 10.1016/j.jenvman.2024.122997
Grace Mulindwa Bahizire , Huaping Sun , Tingting Chen
The Congolese cobalt industry is pivotal to the global mineral economy, yet it faces mounting sustainability challenges amid increasing demand. This study addresses a critical research gap by investigating the role of Managerial Green Commitment (MGC) in enhancing Sustainable Supply Chain Performance (SSCP). Utilizing Structural Equation Modeling (SEM) and data from 159 managers, we explore the mediating roles of Supply Chain Management Practices (SCMP) and Information Systems (IS). The findings show that MGC significantly enhances SSCP both directly (β = 0.53, p < 0.01) and indirectly through SCMP (β = 0.46, p < 0.05) and IS (β = 0.42, p < 0.05). Specifically, the results show that effective supply chain management practices (β = 0.61, p < 0.01) and the integration of advanced information systems (β = 0.60, p < 0.01) are crucial for leveraging managerial green commitment to achieve sustainable performance. The study offers actionable insights for industry leaders and policymakers, highlighting the necessity of integrating green initiatives at the organizational level to achieve sustainable performance in the cobalt supply chain. These insights are crucial for strategic planning and policy formulation to improve sustainability in the mineral industries.
{"title":"Exploring the role of managerial green commitment in enhancing sustainability in Congo's cobalt supply chain","authors":"Grace Mulindwa Bahizire , Huaping Sun , Tingting Chen","doi":"10.1016/j.jenvman.2024.122997","DOIUrl":"10.1016/j.jenvman.2024.122997","url":null,"abstract":"<div><div>The Congolese cobalt industry is pivotal to the global mineral economy, yet it faces mounting sustainability challenges amid increasing demand. This study addresses a critical research gap by investigating the role of Managerial Green Commitment (MGC) in enhancing Sustainable Supply Chain Performance (SSCP). Utilizing Structural Equation Modeling (SEM) and data from 159 managers, we explore the mediating roles of Supply Chain Management Practices (SCMP) and Information Systems (IS). The findings show that MGC significantly enhances SSCP both directly (β = 0.53, p < 0.01) and indirectly through SCMP (β = 0.46, p < 0.05) and IS (β = 0.42, p < 0.05). Specifically, the results show that effective supply chain management practices (β = 0.61, p < 0.01) and the integration of advanced information systems (β = 0.60, p < 0.01) are crucial for leveraging managerial green commitment to achieve sustainable performance. The study offers actionable insights for industry leaders and policymakers, highlighting the necessity of integrating green initiatives at the organizational level to achieve sustainable performance in the cobalt supply chain. These insights are crucial for strategic planning and policy formulation to improve sustainability in the mineral industries.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 122997"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646313","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}
Pub Date : 2024-11-16DOI: 10.1016/j.jenvman.2024.123354
Charles Baah , Muhammad A. Saleem , Steven Greenland , Emmanuel S. Tenakwah , Debajyoti Chakrabarty
Understanding the key determinants of residential water conservation is crucial for designing effective water demand management policies in arid and semiarid regions. While extant literature has frequently identified such determinants using statistical significance and correlations, there is a growing emphasis on understanding these determinants using probabilistic sufficiency and deterministic necessity logics. Integrating these two logics to test an integrated model of the Theories of Planned Behaviour (TPB) and Protection Motivation (PMT), this study identifies and differentiates the probabilistic sufficient and necessary conditions or “must have” factors that need to exist for residential water conservation intentions and behaviours to occur. Combining partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to analyse 346 responses from residents in Australia's Northern Territory (NT), we found that attitude, self-efficacy, perceived vulnerability, and response efficacy are probabilistic sufficient and necessary conditions for water conservation intention. Self-efficacy and intention further provided probabilistic sufficient and necessary conditions for water conservation behaviour. Based on the findings, the TPB-PMT constructs are categorised into four groups and the bottleneck table is used to indicate the minimum levels of the identified necessary conditions that must exist to realise the highest levels of water conservation intention and behaviour. This study further draws on these two logics to conduct a combined importance-performance map analysis (cIPMA) to provide guidelines for policymakers and water authorities on how to better prioritise water management actions to improve residential water conservation intentions and behaviours.
{"title":"Do the theories of planned behaviour and protection motivation provide probabilistic sufficient and necessary conditions for residential water conservation? Combined use of PLS-SEM and NCA","authors":"Charles Baah , Muhammad A. Saleem , Steven Greenland , Emmanuel S. Tenakwah , Debajyoti Chakrabarty","doi":"10.1016/j.jenvman.2024.123354","DOIUrl":"10.1016/j.jenvman.2024.123354","url":null,"abstract":"<div><div>Understanding the key determinants of residential water conservation is crucial for designing effective water demand management policies in arid and semiarid regions. While extant literature has frequently identified such determinants using statistical significance and correlations, there is a growing emphasis on understanding these determinants using probabilistic sufficiency and deterministic necessity logics. Integrating these two logics to test an integrated model of the Theories of Planned Behaviour (TPB) and Protection Motivation (PMT), this study identifies and differentiates the probabilistic sufficient and necessary conditions or “must have” factors that need to exist for residential water conservation intentions and behaviours to occur. Combining partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to analyse 346 responses from residents in Australia's Northern Territory (NT), we found that attitude, self-efficacy, perceived vulnerability, and response efficacy are probabilistic sufficient and necessary conditions for water conservation intention. Self-efficacy and intention further provided probabilistic sufficient and necessary conditions for water conservation behaviour. Based on the findings, the TPB-PMT constructs are categorised into four groups and the bottleneck table is used to indicate the minimum levels of the identified necessary conditions that must exist to realise the highest levels of water conservation intention and behaviour. This study further draws on these two logics to conduct a combined importance-performance map analysis (cIPMA) to provide guidelines for policymakers and water authorities on how to better prioritise water management actions to improve residential water conservation intentions and behaviours.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123354"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646327","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}
Pub Date : 2024-11-16DOI: 10.1016/j.jenvman.2024.123349
Miguel Inácio , Eglė Baltranaitė , Katažyna Bogdzevič , Marius Kalinauskas , Luís Valença Pinto , Damià Barceló , Paulo Pereira
Lakes supply multiple ecosystem services (ES), key to supporting socio-ecologic systems and human well-being. In the context of future land use and climate changes, it is imperative to anticipate potential impacts on lake ES supply. Hence, studies that deal with future lake ES, such as mapping, are lacking. In this work, we mapped and assessed the future supply of three ES: (1) maintenance of nursery conditions (nursery ES), (2) maintenance of chemical conditions of freshwaters (nutrient regulation ES), and (3) direct and indirect cultural outputs (recreation ES) in Lithuania. Four future scenarios were utilised, integrating land use and climate changes: A0 - business as usual; A1-urbanisation; A2: land abandonment and afforestation; and A3 - agricultural intensification. The projected year was 2050, following the intermediate Representative Concentration Pathway (RCP 4.5). The future scenarios were simulated using the open-source software Dinamica EGO based on a 6-step modelling framework. Statistical differences among the scenarios and ES were analysed by applying a Kruskal-Wallis ANOVA test. Spatial analysis was done by performing a Moran's I and Getis-Ord (Gi∗) hotspot analysis. The results showed significant differences in nursery and nutrient regulation ES. The highest supply in nursery ES was observed for the A0 scenario. For nutrient regulation ES, the lowest ES supply was identified for the A1 scenario and for recreation ES, the highest was found in the A2 scenario. The eastern and northeastern regions of Lithuania showed a high ES supply. Hot spots were only identified in the eastern region. These regions are associated with a high area covered by forests and protected areas. The central region shows a low ES supply, identified as a cold spot where the agricultural landscape dominates. The results of the PCA analysis revealed an association between nursery and recreation ES. Nutrient regulation was not associated with the other two ES. Mapping and assessing the impact of future scenarios is vital to anticipating the potential dynamics of lake ES, especially in the context of climate change. This information is essential in the context of environmental management, helping decision-makers to ensure a sustainable ES supply and contributing to human wellbeing.
湖泊提供多种生态系统服务 (ES)，是支持社会生态系统和人类福祉的关键。在未来土地利用和气候变化的背景下，必须预测对湖泊生态系统服务供应的潜在影响。因此，缺乏对未来湖泊生态系统的研究，如绘制地图。在这项工作中，我们绘制并评估了立陶宛三个 ES 的未来供应：（1）维持育苗条件（育苗 ES）；（2）维持淡水的化学条件（营养调节 ES）；（3）直接和间接的文化产出（娱乐 ES）。综合土地利用和气候变化，采用了四种未来情景：A0 - 一切照旧；A1 - 城市化；A2 - 土地放弃和植树造林；A3 - 农业集约化。预测年份为 2050 年，采用中间代表浓度途径（RCP 4.5）。未来情景模拟采用开源软件 Dinamica EGO，以 6 步建模框架为基础。采用 Kruskal-Wallis ANOVA 检验分析了不同情景和 ES 之间的统计差异。空间分析是通过进行莫兰 I 和 Getis-Ord (Gi∗) 热点分析完成的。结果显示，育苗和营养调节 ES 存在明显差异。A0 方案的育苗 ES 供应量最高。在养分调节 ES 方面，A1 方案的 ES 供应量最低，而在娱乐 ES 方面，A2 方案的 ES 供应量最高。立陶宛的东部和东北部地区显示出较高的 ES 供应量。仅在东部地区发现了热点地区。这些地区的森林和保护区覆盖面积较大。中部地区显示出较低的 ES 供应量，被确定为农业景观占主导地位的冷点地区。PCA 分析的结果表明，苗圃和娱乐 ES 之间存在关联。养分调节与其他两种生态系统没有关联。绘制和评估未来情景的影响对于预测湖泊生态系统服务的潜在动态至关重要，尤其是在气候变化的背景下。这些信息对环境管理至关重要，有助于决策者确保可持续的生态系统服务供应，并为人类福祉做出贡献。
{"title":"Mapping and assessing the future provision of lake ecosystem services in Lithuania","authors":"Miguel Inácio , Eglė Baltranaitė , Katažyna Bogdzevič , Marius Kalinauskas , Luís Valença Pinto , Damià Barceló , Paulo Pereira","doi":"10.1016/j.jenvman.2024.123349","DOIUrl":"10.1016/j.jenvman.2024.123349","url":null,"abstract":"<div><div>Lakes supply multiple ecosystem services (ES), key to supporting socio-ecologic systems and human well-being. In the context of future land use and climate changes, it is imperative to anticipate potential impacts on lake ES supply. Hence, studies that deal with future lake ES, such as mapping, are lacking. In this work, we mapped and assessed the future supply of three ES: (1) <em>maintenance of nursery conditions (nursery ES),</em> (2) <em>maintenance of chemical conditions of freshwaters (nutrient regulation ES),</em> and (3) <em>direct and indirect cultural outputs (recreation ES)</em> in Lithuania. Four future scenarios were utilised, integrating land use and climate changes: A0 - business as usual; A1-urbanisation; A2: land abandonment and afforestation; and A3 - agricultural intensification. The projected year was 2050, following the intermediate Representative Concentration Pathway (RCP 4.5). The future scenarios were simulated using the open-source software Dinamica EGO based on a 6-step modelling framework. Statistical differences among the scenarios and ES were analysed by applying a Kruskal-Wallis ANOVA test. Spatial analysis was done by performing a Moran's I and Getis-Ord (Gi∗) hotspot analysis. The results showed significant differences in nursery and nutrient regulation ES. The highest supply in nursery ES was observed for the A0 scenario. For nutrient regulation ES, the lowest ES supply was identified for the A1 scenario and for recreation ES, the highest was found in the A2 scenario. The eastern and northeastern regions of Lithuania showed a high ES supply. Hot spots were only identified in the eastern region. These regions are associated with a high area covered by forests and protected areas. The central region shows a low ES supply, identified as a cold spot where the agricultural landscape dominates. The results of the PCA analysis revealed an association between nursery and recreation ES. Nutrient regulation was not associated with the other two ES. Mapping and assessing the impact of future scenarios is vital to anticipating the potential dynamics of lake ES, especially in the context of climate change. This information is essential in the context of environmental management, helping decision-makers to ensure a sustainable ES supply and contributing to human wellbeing.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123349"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643670","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}
Pub Date : 2024-11-16DOI: 10.1016/j.jenvman.2024.123355
Yaling Su , Jingjing Ma , Zhaoshi Wu , Baohua Guan , Kuanyi Li
The ecological restoration of eutrophic lakes significantly influences the food composition of zooplankton. Zooplankton serve as the principal trophic link, transferring energy from phytoplankton to fish. Understanding the alterations in zooplankton carbon source compositions following ecological restoration and the seasonal variations in this relationship is crucial. This study employs stable carbon isotope (δ13C) and fatty acid (FA) analyses to investigate the seasonal changes in carbon source contributions to zooplankton between the restored and unrestored segments of Lake Xuanwu. Results from FA analysis reveal higher proportions of algal dietary markers in zooplankton FAs in both segments during spring and autumn. Summer exhibits a shift with zooplankton utilizing more bacterial FAs in the restored part and more algal FAs in the unrestored part. While approaching winter, zooplankton in the restored part consume more algal FAs but less in the unrestored part. Zooplankton FAs enriched in δ13C are associated with assimilation of more terrestrial carbon, contrasting with depleted δ13C when zooplankton relies more on phytoplankton. Isotope mixing models indicate a substantial contribution of terrestrial carbon to zooplankton carbon sources, especially in autumn (42.3% unrestored, 51.2% restored) and winter (41.4% unrestored, 36.8% restored), while phytoplankton has a higher contribution in summer (34.5% restored, 46.9% unrestored). These findings contribute to a comprehensive understanding of carbon cycling variations in food webs between eutrophic lakes and ecologically restored lakes.
{"title":"Comparison of zooplankton assimilation of different carbon sources and fatty acids in a eutrophic lake and its restored basins","authors":"Yaling Su , Jingjing Ma , Zhaoshi Wu , Baohua Guan , Kuanyi Li","doi":"10.1016/j.jenvman.2024.123355","DOIUrl":"10.1016/j.jenvman.2024.123355","url":null,"abstract":"<div><div>The ecological restoration of eutrophic lakes significantly influences the food composition of zooplankton. Zooplankton serve as the principal trophic link, transferring energy from phytoplankton to fish. Understanding the alterations in zooplankton carbon source compositions following ecological restoration and the seasonal variations in this relationship is crucial. This study employs stable carbon isotope (δ<sup>13</sup>C) and fatty acid (FA) analyses to investigate the seasonal changes in carbon source contributions to zooplankton between the restored and unrestored segments of Lake Xuanwu. Results from FA analysis reveal higher proportions of algal dietary markers in zooplankton FAs in both segments during spring and autumn. Summer exhibits a shift with zooplankton utilizing more bacterial FAs in the restored part and more algal FAs in the unrestored part. While approaching winter, zooplankton in the restored part consume more algal FAs but less in the unrestored part. Zooplankton FAs enriched in δ<sup>13</sup>C are associated with assimilation of more terrestrial carbon, contrasting with depleted δ<sup>13</sup>C when zooplankton relies more on phytoplankton. Isotope mixing models indicate a substantial contribution of terrestrial carbon to zooplankton carbon sources, especially in autumn (42.3% unrestored, 51.2% restored) and winter (41.4% unrestored, 36.8% restored), while phytoplankton has a higher contribution in summer (34.5% restored, 46.9% unrestored). These findings contribute to a comprehensive understanding of carbon cycling variations in food webs between eutrophic lakes and ecologically restored lakes.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123355"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646325","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}
Pub Date : 2024-11-16DOI: 10.1016/j.jenvman.2024.123323
Shahid Naeem , Yongqiang Zhang , Congcong Li , Yanping Li , Tahir Azeem , Rashid Mahmood
Investigating trends in water use efficiency (WUE) and its causality is critical for understanding ecosystem behaviors. Although WUE has shown nonlinear changes in the last several decades across most global ecosystems, the majority of available studies have focused on its linear trend. This study attempted to accurately attribute the linear and nonlinear variations in WUE using normalized driving factors in the Partial Derivative (PD) equation to develop a Normalized Partial Derivative model (NPD-model). Two linear trends obtained from the Linear Regression (LR) and Non-Parametric (NP) and a nonlinear trend obtained from the Ensemble Empirical Mode Decomposition (EEMD) are employed in the NPD-model for attributing WUE change in China. The individual and relative responses of driving factors to WUE change during 2000–2018 are quantified using the China version of the PML-V2 evapotranspiration and gross primary productivity products. The results show that the nonlinear EEMD-based NPD-model with an R2 of 0.83, performs best compared to the LR- and NP-based NPD-models, which have R2 values of 0.64 and 0.7, respectively. WUE increased monotonically in most areas of all vegetation types, with high variability observed in grassland and shrubland. The EEMD-based attribution analysis indicates that leaf area index is the leading factor in regulating WUE in China, followed by CO2 and climate. The relative contributions revealed that increased WUE in most of China is dominated by the combination of vegetation and environmental factors, covering more than 80% of the study area. These contribution results, however, are largely different from those obtained using the LR- and NP-based NPD-models, as 52% of the study area exhibits cyclic variation in WUE. Therefore, the nonlinear EEMD-based NPD-model provides excellent spatiotemporal attribution of WUE through its driving factors, which is crucial for understanding the ecosystem response to changing environments, potentially assisting in ecosystem and water resource management.
{"title":"Estimation and attribution of nonlinear trend of water use efficiency using a normalized partial derivative approach","authors":"Shahid Naeem , Yongqiang Zhang , Congcong Li , Yanping Li , Tahir Azeem , Rashid Mahmood","doi":"10.1016/j.jenvman.2024.123323","DOIUrl":"10.1016/j.jenvman.2024.123323","url":null,"abstract":"<div><div>Investigating trends in water use efficiency (WUE) and its causality is critical for understanding ecosystem behaviors. Although WUE has shown nonlinear changes in the last several decades across most global ecosystems, the majority of available studies have focused on its linear trend. This study attempted to accurately attribute the linear and nonlinear variations in WUE using normalized driving factors in the Partial Derivative (PD) equation to develop a Normalized Partial Derivative model (NPD-model). Two linear trends obtained from the Linear Regression (LR) and Non-Parametric (NP) and a nonlinear trend obtained from the Ensemble Empirical Mode Decomposition (EEMD) are employed in the NPD-model for attributing WUE change in China. The individual and relative responses of driving factors to WUE change during 2000–2018 are quantified using the China version of the PML-V2 evapotranspiration and gross primary productivity products. The results show that the nonlinear EEMD-based NPD-model with an R<sup>2</sup> of 0.83, performs best compared to the LR- and NP-based NPD-models, which have R<sup>2</sup> values of 0.64 and 0.7, respectively. WUE increased monotonically in most areas of all vegetation types, with high variability observed in grassland and shrubland. The EEMD-based attribution analysis indicates that leaf area index is the leading factor in regulating WUE in China, followed by CO<sub>2</sub> and climate. The relative contributions revealed that increased WUE in most of China is dominated by the combination of vegetation and environmental factors, covering more than 80% of the study area. These contribution results, however, are largely different from those obtained using the LR- and NP-based NPD-models, as 52% of the study area exhibits cyclic variation in WUE. Therefore, the nonlinear EEMD-based NPD-model provides excellent spatiotemporal attribution of WUE through its driving factors, which is crucial for understanding the ecosystem response to changing environments, potentially assisting in ecosystem and water resource management.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123323"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646328","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}
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