Pub Date : 2025-03-07DOI: 10.1016/j.jenvman.2025.124841
Yun Seo Jang , Yidan Zhang , Matthew F. Kirk , Juhee Kim , Minkyoung Kim , Narae Lee , Hojun Song , Man Jae Kwon
Fe(III) (hydr)oxides are prevalent in natural environments where they impact contaminant mobility, greenhouse gas release, and nutrient cycling. In anoxic conditions, dissimilatory iron reducing bacteria (DIRB) and other microbial groups primarily drive Fe(III) reduction. Dissimilatory iron reduction (DIR) results in the reductive dissolution of Fe(III) phases and subsequent secondary mineralization. These processes are highly sensitive to pH changes, since protons serve as reactants in DIR. However, there is limited understanding of how DIR impacts secondary mineralization and microbial community development under relevant pH gradients. This study investigated the impact of initial pH (6.3, 6.9, 7.3, 7.7, 9) and Fe(III) source (goethite, lepidocrocite) on DIR, using acetate as the electron donor. The rate and extent of Fe(III) reduction decreased with increasing pH and that lepidocrocite, with its relatively lower crystallinity compared to goethite, supported greater DIR activity. Solid phase analyses revealed predominant formation of siderite alongside lepidocrocite reduction in microcosms with initial pH at 6.3 and 6.9. Similarly, in microcosms with initial pH at 7.3 and 7.7, partial transformation to siderite occurred. In contrast, goethite-amended microcosms did not show clear mineralogical transformations, despite the observed Fe(II) production. Microbial community analysis using 16S rRNA sequencing indicated greater enrichment of DIRB at lower pH, with a decline in abundance as pH increased. Overall, pH influenced DIR more than Fe mineralogy, highlighting its critical role in DIR processes, secondary mineral formation, and DIRB community development. This study further provides insights for developing remediation strategies involving microbial Fe(III) reduction under varying pH conditions.
{"title":"Microbial Fe(III) reduction across a pH gradient: The impacts on secondary mineralization and microbial community development","authors":"Yun Seo Jang , Yidan Zhang , Matthew F. Kirk , Juhee Kim , Minkyoung Kim , Narae Lee , Hojun Song , Man Jae Kwon","doi":"10.1016/j.jenvman.2025.124841","DOIUrl":"10.1016/j.jenvman.2025.124841","url":null,"abstract":"<div><div>Fe(III) (hydr)oxides are prevalent in natural environments where they impact contaminant mobility, greenhouse gas release, and nutrient cycling. In anoxic conditions, dissimilatory iron reducing bacteria (DIRB) and other microbial groups primarily drive Fe(III) reduction. Dissimilatory iron reduction (DIR) results in the reductive dissolution of Fe(III) phases and subsequent secondary mineralization. These processes are highly sensitive to pH changes, since protons serve as reactants in DIR. However, there is limited understanding of how DIR impacts secondary mineralization and microbial community development under relevant pH gradients. This study investigated the impact of initial pH (6.3, 6.9, 7.3, 7.7, 9) and Fe(III) source (goethite, lepidocrocite) on DIR, using acetate as the electron donor. The rate and extent of Fe(III) reduction decreased with increasing pH and that lepidocrocite, with its relatively lower crystallinity compared to goethite, supported greater DIR activity. Solid phase analyses revealed predominant formation of siderite alongside lepidocrocite reduction in microcosms with initial pH at 6.3 and 6.9. Similarly, in microcosms with initial pH at 7.3 and 7.7, partial transformation to siderite occurred. In contrast, goethite-amended microcosms did not show clear mineralogical transformations, despite the observed Fe(II) production. Microbial community analysis using 16S rRNA sequencing indicated greater enrichment of DIRB at lower pH, with a decline in abundance as pH increased. Overall, pH influenced DIR more than Fe mineralogy, highlighting its critical role in DIR processes, secondary mineral formation, and DIRB community development. This study further provides insights for developing remediation strategies involving microbial Fe(III) reduction under varying pH conditions.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124841"},"PeriodicalIF":8.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561749","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 : 2025-03-06DOI: 10.1016/j.jenvman.2025.124847
Ana Beatriz Lopes de Sousa Jabbour , Issam Laguir , Rebecca Stekelorum , Shivam Gupta
Drawing on the Resource-Based View (RBV) and Stakeholder Theory, this study tests construct relationships that bring about means of improving corporate sustainability performance (CSP) via artificial intelligence (AI) technology and accountable socio-environmental practices related to supply chain transparency (SCTrans). It also considers customer pressure for ethical conduct (CPEC). This research hinges on data from 204 French manufacturing firms, which were analyzed using hierarchical regression analysis. It shows that AI is a relevant technology to the RBV, because AI is able to act as a source of competitive advantage by improving both SCTrans and CSP. This research also shows that CPEC is an important contextual factor strengthening linkages between AI, SCTrans and CSP. Some unexpected results of the statistical analyses were also found and discussed. This work offers specific insights on the relationships among AI, SCTrans, CSP, and CPEC that guide the pursuit of more sustainable and transparent supply chains.
{"title":"The nexus of artificial intelligence and sustainability performance: Unveiling the impact of supply chain transparency and customer pressure on ethical conduct","authors":"Ana Beatriz Lopes de Sousa Jabbour , Issam Laguir , Rebecca Stekelorum , Shivam Gupta","doi":"10.1016/j.jenvman.2025.124847","DOIUrl":"10.1016/j.jenvman.2025.124847","url":null,"abstract":"<div><div>Drawing on the Resource-Based View (RBV) and Stakeholder Theory, this study tests construct relationships that bring about means of improving corporate sustainability performance (CSP) via artificial intelligence (AI) technology and accountable socio-environmental practices related to supply chain transparency (SCTrans). It also considers customer pressure for ethical conduct (CPEC). This research hinges on data from 204 French manufacturing firms, which were analyzed using hierarchical regression analysis. It shows that AI is a relevant technology to the RBV, because AI is able to act as a source of competitive advantage by improving both SCTrans and CSP. This research also shows that CPEC is an important contextual factor strengthening linkages between AI, SCTrans and CSP. Some unexpected results of the statistical analyses were also found and discussed. This work offers specific insights on the relationships among AI, SCTrans, CSP, and CPEC that guide the pursuit of more sustainable and transparent supply chains.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124847"},"PeriodicalIF":8.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561670","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 : 2025-03-06DOI: 10.1016/j.jenvman.2025.124822
Yifei Wu , Mengyao Xu , Xu Wang , Pauline Menez , Wenxin Wang , Minghao Zhuang
Potatoes, as the fourth most important staple crop in China, play a crucial role in ensuring national food security. However, potato production is heavily reliant on inputs such as fertilizers and pesticides, leading to significant environmental challenges that compromise the sustainability of this production. A systematic evaluation of the current state of potato production sustainability in China and its potential for improvement is an urgent scientific issue that needs to be addressed. This study employs emergy sustainability index (ESI), energy return on investment (EROI), energy efficiency cost (EEC), and energy exchange ratio (EnER) methods to assess the environmental and economic aspects of potato production at the county level in China. Results indicate that, in 2015, the average ESI, EROI, EEC, and EnER for potato production in China were 1.37 (0.1–5.4), 2.21 (0.18–7.44), 0.06 (0.01–0.48) $/MJ, and 13.52 (2.68–112.40) MJ/$, respectively, with considerable spatial heterogeneity at the county level. Regions with higher sustainability in potato production are primarily concentrated in the northwest, which is also China's main potato-growing area. The random forest analysis identified yield, phosphorus, and nitrogen fertilizers as key factors influencing the sustainability of potato production. Regionally differentiated fertilizer management strategies led to a 43% and 35% increase in ESI and EROI, respectively, while EEC and EnER decreased by 50% and 47%. This study systematically explores the relationship between the environmental and economic dimensions of potato production from an energy perspective and proposes optimized management strategies for synergistic environmental-economic development. It provides methodological support and scientific guidance for promoting sustainable potato production and offers insights for global potato sustainability systems.
{"title":"Localized nutrient management practices enhance the environmental-economic sustainability in potato production of China","authors":"Yifei Wu , Mengyao Xu , Xu Wang , Pauline Menez , Wenxin Wang , Minghao Zhuang","doi":"10.1016/j.jenvman.2025.124822","DOIUrl":"10.1016/j.jenvman.2025.124822","url":null,"abstract":"<div><div>Potatoes, as the fourth most important staple crop in China, play a crucial role in ensuring national food security. However, potato production is heavily reliant on inputs such as fertilizers and pesticides, leading to significant environmental challenges that compromise the sustainability of this production. A systematic evaluation of the current state of potato production sustainability in China and its potential for improvement is an urgent scientific issue that needs to be addressed. This study employs emergy sustainability index (ESI), energy return on investment (EROI), energy efficiency cost (EEC), and energy exchange ratio (EnER) methods to assess the environmental and economic aspects of potato production at the county level in China. Results indicate that, in 2015, the average ESI, EROI, EEC, and EnER for potato production in China were 1.37 (0.1–5.4), 2.21 (0.18–7.44), 0.06 (0.01–0.48) $/MJ, and 13.52 (2.68–112.40) MJ/$, respectively, with considerable spatial heterogeneity at the county level. Regions with higher sustainability in potato production are primarily concentrated in the northwest, which is also China's main potato-growing area. The random forest analysis identified yield, phosphorus, and nitrogen fertilizers as key factors influencing the sustainability of potato production. Regionally differentiated fertilizer management strategies led to a 43% and 35% increase in ESI and EROI, respectively, while EEC and EnER decreased by 50% and 47%. This study systematically explores the relationship between the environmental and economic dimensions of potato production from an energy perspective and proposes optimized management strategies for synergistic environmental-economic development. It provides methodological support and scientific guidance for promoting sustainable potato production and offers insights for global potato sustainability systems.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124822"},"PeriodicalIF":8.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561673","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 : 2025-03-06DOI: 10.1016/j.jenvman.2025.124863
Ying Yu , Ji Wu , Zhurui Tang , Shuixia Wan , Jiankun Hu , Boyu Li , Jing Wang , Fan Li
A large amount of ammonia volatilization in compost causes environmental pollution and reduces the quality of compost. Ammonia recycling composting strategy (ARCS) is new strategy for reducing ammonia volatilization by absorbing with backfilling ammonia into the compost. This study revealed the mechanism of ARCS on ammonia volatilization and nitrogen retention during chicken manure composting. The results showed that the adsorption layer containing wood vinegar had an obvious inhibition effect on ammonia volatilization. Compared to CK, ARCS treatment could reduce ammonia emissions and nitrogen loss by 20.65% and 39.6% with T3 (12d), respectively. Different adsorption time would affect the occurrence of various nitrogen components in the adsorption layer, especially the change of inorganic nitrogen content. Metagenomic analysis showed that ARCS treatment resulted in significant changes in bacterial communities, and different backfilling times had significant effects on nitrogen metabolism pathways in compost. Glutamate dehydrogenase and glutamate synthase were the key nitrogen metabolism processes during composting, which played an important role in ammonia volatilization and nitrogen retention. The suitable backfilling time (12d) promoted the acceleration of ammonia nitrogen metabolism in the early stage of composting and enhanced the ammonia assimilation and dissimilatory nitrate reduction function in the maturation stage to achieve nitrogen retention. This study provided valuable insights into the effects of in-situ ammonia absorption and backfilling on nitrogen metabolism pathways during composting.
{"title":"Unveiling the nitrogen metabolism mechanism for nitrogen retention in compost via in-situ ammonia recycling strategy","authors":"Ying Yu , Ji Wu , Zhurui Tang , Shuixia Wan , Jiankun Hu , Boyu Li , Jing Wang , Fan Li","doi":"10.1016/j.jenvman.2025.124863","DOIUrl":"10.1016/j.jenvman.2025.124863","url":null,"abstract":"<div><div>A large amount of ammonia volatilization in compost causes environmental pollution and reduces the quality of compost. Ammonia recycling composting strategy (ARCS) is new strategy for reducing ammonia volatilization by absorbing with backfilling ammonia into the compost. This study revealed the mechanism of ARCS on ammonia volatilization and nitrogen retention during chicken manure composting. The results showed that the adsorption layer containing wood vinegar had an obvious inhibition effect on ammonia volatilization. Compared to CK, ARCS treatment could reduce ammonia emissions and nitrogen loss by 20.65% and 39.6% with T3 (12d), respectively. Different adsorption time would affect the occurrence of various nitrogen components in the adsorption layer, especially the change of inorganic nitrogen content. Metagenomic analysis showed that ARCS treatment resulted in significant changes in bacterial communities, and different backfilling times had significant effects on nitrogen metabolism pathways in compost. Glutamate dehydrogenase and glutamate synthase were the key nitrogen metabolism processes during composting, which played an important role in ammonia volatilization and nitrogen retention. The suitable backfilling time (12d) promoted the acceleration of ammonia nitrogen metabolism in the early stage of composting and enhanced the ammonia assimilation and dissimilatory nitrate reduction function in the maturation stage to achieve nitrogen retention. This study provided valuable insights into the effects of in-situ ammonia absorption and backfilling on nitrogen metabolism pathways during composting.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124863"},"PeriodicalIF":8.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561738","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 : 2025-03-06DOI: 10.1016/j.jenvman.2025.124827
Yanpeng Yue , Liming Lai , Jihua Zhou , Guihao Wang , Yingjie Zhu , Qiaoe Chen , Yuanrun Zheng
Large-scale shrub encroachment poses significant challenges for the preservation and enhancement of ecosystem functions and services in grassland ecosystems. However, the impacts of shrub encroachment on grassland ecosystem multifunctionality (EMF) remain poorly understood. This study assessed the impact of shrub encroachment on 23 key ecosystem functions in a semiarid grassland, as well as the influence of plant, soil, and microbial factors on both aboveground and belowground EMF. Compared with areas with slight shrub encroachment, most individual aboveground ecosystem functions increased by 62.24%–251.05% with moderate shrub encroachment (p < 0.05). However, these functions significantly decreased (42.96–96.91%) under severe and extremely severe shrub encroachment. In contrast, individual belowground ecosystem functions consistently decreased across all stages of shrub encroachment, with reductions between 29.27% and 94.85% (p < 0.05). Shrub encroachment caused a decoupled response pattern, with the aboveground EMF initially increasing but then decreasing (R2 = 0.83, p < 0.001), whereas the belowground EMF decreased linearly (R2 = 0.86, p < 0.001). Soil bulk density and bacterial community composition were identified as the primary drivers of variations in aboveground EMF, whereas plant community composition and soil pH were crucial for regulating belowground EMF. Moreover, plant diversity was essential for maintaining both aboveground and belowground EMF. This study highlights the importance of considering both the stage of shrub encroachment and the specific ecosystem functions affected. These results emphasize the pivotal role of soil and microbial factors in shaping EMF, which is critical for predicting ecosystem responses to extensive changes in vegetation driven by intensifying climate change and human activities.
{"title":"Decoupled response of aboveground and belowground ecosystem multifunctionality to shrub encroachment in a semiarid grassland","authors":"Yanpeng Yue , Liming Lai , Jihua Zhou , Guihao Wang , Yingjie Zhu , Qiaoe Chen , Yuanrun Zheng","doi":"10.1016/j.jenvman.2025.124827","DOIUrl":"10.1016/j.jenvman.2025.124827","url":null,"abstract":"<div><div>Large-scale shrub encroachment poses significant challenges for the preservation and enhancement of ecosystem functions and services in grassland ecosystems. However, the impacts of shrub encroachment on grassland ecosystem multifunctionality (EMF) remain poorly understood. This study assessed the impact of shrub encroachment on 23 key ecosystem functions in a semiarid grassland, as well as the influence of plant, soil, and microbial factors on both aboveground and belowground EMF. Compared with areas with slight shrub encroachment, most individual aboveground ecosystem functions increased by 62.24%–251.05% with moderate shrub encroachment (<em>p</em> < 0.05). However, these functions significantly decreased (42.96–96.91%) under severe and extremely severe shrub encroachment. In contrast, individual belowground ecosystem functions consistently decreased across all stages of shrub encroachment, with reductions between 29.27% and 94.85% (<em>p</em> < 0.05). Shrub encroachment caused a decoupled response pattern, with the aboveground EMF initially increasing but then decreasing (R<sup>2</sup> = 0.83, <em>p</em> < 0.001), whereas the belowground EMF decreased linearly (R<sup>2</sup> = 0.86, <em>p</em> < 0.001). Soil bulk density and bacterial community composition were identified as the primary drivers of variations in aboveground EMF, whereas plant community composition and soil pH were crucial for regulating belowground EMF. Moreover, plant diversity was essential for maintaining both aboveground and belowground EMF. This study highlights the importance of considering both the stage of shrub encroachment and the specific ecosystem functions affected. These results emphasize the pivotal role of soil and microbial factors in shaping EMF, which is critical for predicting ecosystem responses to extensive changes in vegetation driven by intensifying climate change and human activities.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124827"},"PeriodicalIF":8.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561739","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 : 2025-03-06DOI: 10.1016/j.jenvman.2025.124710
Paulo Marcelo Bosco Mofatto, Alida Cosenza, Daniele Di Trapani, Giorgio Mannina
This paper presents a comprehensive study on a Membrane BioReactor – Integrated Fixed Film Activated Sludge – Intermittent Aeration (MBR-IFAS-IA) pilot plant. The MBR-IFAS-IA operated under three different sludge retention times (SRTs): 7.0, 3.5 and 2.5 days during Period I, II and III, respectively. The pilot plant operated in intermittent aeration operation mode to achieve an advanced wastewater treatment for net zero carbon emissions. A comprehensive monitoring campaign was carried out measuring several parameters: carbon, nitrogen, phosphorus, extracellular polymeric substances, kinetics by respirometry tests, greenhouse gas emissions and fouling. The total chemical oxygen demand removal was very high (97.8% on average). An improvement in orthophosphate removal efficiency occurred during Period II (43.8%) compared to Period I (27.7%). However, a worsening in the removal efficiency performances was obtained in periods with lower SRT (Period III), mainly for ammonia oxidation and total nitrogen (TN). Moreover, the reduction of SRT from 7.0 to 2.5 days showed a substantial worsening in the membrane fouling (mostly in irreversible fouling).
{"title":"IFAS intermittent aeration membrane bioreactor system: The influence of sludge retention time","authors":"Paulo Marcelo Bosco Mofatto, Alida Cosenza, Daniele Di Trapani, Giorgio Mannina","doi":"10.1016/j.jenvman.2025.124710","DOIUrl":"10.1016/j.jenvman.2025.124710","url":null,"abstract":"<div><div>This paper presents a comprehensive study on a Membrane BioReactor – Integrated Fixed Film Activated Sludge – Intermittent Aeration (MBR-IFAS-IA) pilot plant. The MBR-IFAS-IA operated under three different sludge retention times (SRTs): 7.0, 3.5 and 2.5 days during Period I, II and III, respectively. The pilot plant operated in intermittent aeration operation mode to achieve an advanced wastewater treatment for net zero carbon emissions. A comprehensive monitoring campaign was carried out measuring several parameters: carbon, nitrogen, phosphorus, extracellular polymeric substances, kinetics by respirometry tests, greenhouse gas emissions and fouling. The total chemical oxygen demand removal was very high (97.8% on average). An improvement in orthophosphate removal efficiency occurred during Period II (43.8%) compared to Period I (27.7%). However, a worsening in the removal efficiency performances was obtained in periods with lower SRT (Period III), mainly for ammonia oxidation and total nitrogen (TN). Moreover, the reduction of SRT from 7.0 to 2.5 days showed a substantial worsening in the membrane fouling (mostly in irreversible fouling).</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124710"},"PeriodicalIF":8.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561753","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 : 2025-03-06DOI: 10.1016/j.jenvman.2025.124706
Jun Fu, Heqing Zhang
<div><div>Against the backdrop of global sustainable development and ecological civilization construction, new quality productivity and high-quality development have become key drivers of industrial upgrading. Tourism eco-efficiency (TEE) serves as both a core indicator of the green and sustainable development of the tourism industry and a crucial lever for promoting high-quality development. Emphasizing technological innovation and resource optimization, new quality productivity enhances TEE levels and facilitates the green transformation of the industry. Therefore, accurately measuring TEE and exploring its spatial correlation network evolution are essential for advancing high-quality development in the tourism sector. In this work, the TEE of China's provincial regions was measured from 2011 to 2022 using a three-stage super-efficiency slack-based measure data envelopment analysis model (three-stage SE-SBM-DEA model), which was built as a TEE assessment index system. The spatial correlation network evolution characteristics and correlation network effects of TEE were analyzed using the modified gravity model and social network analysis, and the formation mechanism was explored with the help of the exponential random graph model (ERGM). The findings demonstrate that: (1) The overall mean value of TEE in China is 0.6657, with an overall fluctuating upward trend and significant regional differences. It mainly exhibits a spatial pattern of “higher in the east and lower in the west, with coastal regions outperforming inland regions.” The eastern coastal regions (e.g., Shanghai, Jiangsu, Guangdong) have higher efficiency, while the western regions (e.g., Qinghai and Xinjiang) and northeastern regions (e.g., Jilin and Heilongjiang) have lower efficiency. (2) The TEE network shows an evolutionary feature from “dual-core” to “dual-core dominated and multi-polar development.” The network density and efficiency are growing, and the inter-provincial spatial correlation is increasing, but the stability of the network structure needs to be further strengthened. The network relevance is always 1.0000, and the accessibility is remarkable. (3) Beijing, Shanghai and Jiangsu are the key nodes in the network, with stronger control and dominance over the elements needed to improve TEE. And regions like Xinjiang, Ningxia, Qinghai, Yunnan, Heilongjiang, Liaoning and Jilin are in a marginal position in the network, making it difficult to influence and control other regions. (4) Reciprocity, transmission, convergence, and extension in the endogenous network structure are significant factors driving the establishment of TEE networks in China. The driving relationship of heterogeneity, receiving and sending out effects of economic development level and accessibility in node attributes is obvious. The effect of external networks varies by geographical distance, and moderate distance contributes significantly to the establishment of TEE networks. This research may give im
{"title":"Study on the evolutionary characteristics of the spatial association network of tourism eco-efficiency and its formation effect in China","authors":"Jun Fu, Heqing Zhang","doi":"10.1016/j.jenvman.2025.124706","DOIUrl":"10.1016/j.jenvman.2025.124706","url":null,"abstract":"<div><div>Against the backdrop of global sustainable development and ecological civilization construction, new quality productivity and high-quality development have become key drivers of industrial upgrading. Tourism eco-efficiency (TEE) serves as both a core indicator of the green and sustainable development of the tourism industry and a crucial lever for promoting high-quality development. Emphasizing technological innovation and resource optimization, new quality productivity enhances TEE levels and facilitates the green transformation of the industry. Therefore, accurately measuring TEE and exploring its spatial correlation network evolution are essential for advancing high-quality development in the tourism sector. In this work, the TEE of China's provincial regions was measured from 2011 to 2022 using a three-stage super-efficiency slack-based measure data envelopment analysis model (three-stage SE-SBM-DEA model), which was built as a TEE assessment index system. The spatial correlation network evolution characteristics and correlation network effects of TEE were analyzed using the modified gravity model and social network analysis, and the formation mechanism was explored with the help of the exponential random graph model (ERGM). The findings demonstrate that: (1) The overall mean value of TEE in China is 0.6657, with an overall fluctuating upward trend and significant regional differences. It mainly exhibits a spatial pattern of “higher in the east and lower in the west, with coastal regions outperforming inland regions.” The eastern coastal regions (e.g., Shanghai, Jiangsu, Guangdong) have higher efficiency, while the western regions (e.g., Qinghai and Xinjiang) and northeastern regions (e.g., Jilin and Heilongjiang) have lower efficiency. (2) The TEE network shows an evolutionary feature from “dual-core” to “dual-core dominated and multi-polar development.” The network density and efficiency are growing, and the inter-provincial spatial correlation is increasing, but the stability of the network structure needs to be further strengthened. The network relevance is always 1.0000, and the accessibility is remarkable. (3) Beijing, Shanghai and Jiangsu are the key nodes in the network, with stronger control and dominance over the elements needed to improve TEE. And regions like Xinjiang, Ningxia, Qinghai, Yunnan, Heilongjiang, Liaoning and Jilin are in a marginal position in the network, making it difficult to influence and control other regions. (4) Reciprocity, transmission, convergence, and extension in the endogenous network structure are significant factors driving the establishment of TEE networks in China. The driving relationship of heterogeneity, receiving and sending out effects of economic development level and accessibility in node attributes is obvious. The effect of external networks varies by geographical distance, and moderate distance contributes significantly to the establishment of TEE networks. This research may give im","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124706"},"PeriodicalIF":8.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561671","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 : 2025-03-06DOI: 10.1016/j.jenvman.2025.124747
Mario A. Carvajal , Madelaine Quiroz , Alberto J. Alaniz , Pablo M. Vergara , Francisca Valenzuela-Aguayo , Claudia Hidalgo-Corrotea
Bioenergy is considered among the main mitigation strategies to meet a green-growth development paradigm of 1.5 °C. However, climate change has been dramatically restructuring agriculture and damaging crops, threatening the achievement of global food security and bioenergy goals. Studies have shown that succulent plants through their water efficient and highly temperature-drought-tolerant Crassulacean Acid Metabolism (CAM) pathway, could be a key opportunity to meet future energy demands under global change scenarios. However, specific bioenergy potentials under alternative management conditions, irrigation, and land availability that minimize resource conflicts with food production, biodiversity transgressions, or water withdrawals in water scarce regions, remain unclear. Here, we estimate under a bottom-up approach the global bioenergy potentials of four relevant CAM species on recently abandoned croplands and arid marginal lands, unravelling the interdependencies between land availability, water requirements and climatic conditions at the global scale. We identify a potential of 16–36 Ej yr−1 (27–62% of current bioenergy demand) in abandoned croplands depending on local and management factors. Rainfed CAM potentials (16 Ej yr−1) are comparable with the potentials of bioenergy crops such as miscanthus (19 Ej yr−1) under similar environmental conditions. However, the water requirement of CAM species to reach this potential is 24–30% of what is expected for C3 and C4 bioenergy crops. Additionally, we identify a carbon sequestration potential via plant growth of −3.09 Pg C yr−1 between 1960 and 2020, which reveals an underestimated opportunity in arid marginal lands. We highlight the remarkable contribution of the CAM pathway as a nature-based solution under global change scenarios.
{"title":"The global land-water-climate nexus of drought-tolerant succulent plants for bioenergy in abandoned croplands and arid marginal lands","authors":"Mario A. Carvajal , Madelaine Quiroz , Alberto J. Alaniz , Pablo M. Vergara , Francisca Valenzuela-Aguayo , Claudia Hidalgo-Corrotea","doi":"10.1016/j.jenvman.2025.124747","DOIUrl":"10.1016/j.jenvman.2025.124747","url":null,"abstract":"<div><div>Bioenergy is considered among the main mitigation strategies to meet a green-growth development paradigm of 1.5 °C. However, climate change has been dramatically restructuring agriculture and damaging crops, threatening the achievement of global food security and bioenergy goals. Studies have shown that succulent plants through their water efficient and highly temperature-drought-tolerant Crassulacean Acid Metabolism (CAM) pathway, could be a key opportunity to meet future energy demands under global change scenarios. However, specific bioenergy potentials under alternative management conditions, irrigation, and land availability that minimize resource conflicts with food production, biodiversity transgressions, or water withdrawals in water scarce regions, remain unclear. Here, we estimate under a bottom-up approach the global bioenergy potentials of four relevant CAM species on recently abandoned croplands and arid marginal lands, unravelling the interdependencies between land availability, water requirements and climatic conditions at the global scale. We identify a potential of 16–36 Ej yr<sup>−1</sup> (27–62% of current bioenergy demand) in abandoned croplands depending on local and management factors. Rainfed CAM potentials (16 Ej yr<sup>−1</sup>) are comparable with the potentials of bioenergy crops such as <em>miscanthus</em> (19 Ej yr<sup>−1</sup>) under similar environmental conditions. However, the water requirement of CAM species to reach this potential is 24–30% of what is expected for C3 and C4 bioenergy crops. Additionally, we identify a carbon sequestration potential via plant growth of −3.09 Pg C yr<sup>−1</sup> between 1960 and 2020, which reveals an underestimated opportunity in arid marginal lands. We highlight the remarkable contribution of the CAM pathway as a nature-based solution under global change scenarios.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124747"},"PeriodicalIF":8.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561752","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 : 2025-03-06DOI: 10.1016/j.jenvman.2025.124746
Yexi Liang , Bo Gao , Xingfeng Zhang , Haifeng Yi , Junjiang Li , Wenying Zhang
A field study examined the impact of γ-polyglutamic acid (γ-PGA), both alone and in combination with dicyandiamide (DCD), on the phytoremediation of soil contaminated with Cd, Pb, and Zn. This study focused on the heavy metal (HM) accumulation, and soil CO2 and N2O emissions in Cosmos sulphureus and Pennisetum americanum × P. purpureum, and soil microbial communities. The findings indicated that the application of γ-PGA, either alone or in combination with DCD, increased plant yield and HM bioavailability in the soil, leading to improved HM uptake by plants. For P. americanum × P. purpureum, compared to CK treatment, the combined addition of γ-PGA and DCD increased the Cd, Pb, and Zn extraction by 131.4%, 80.6%, and 99.7%, respectively. Compared to γ-PGA alone, the combined addition of γ-PGA and DCD reduced the soil N2O emission and global warming potential by 26.4% and 39.1%, respectively. P. americanum × P. purpureum treated with γ-PGA and DCD achieved C sequestration of 829 kg ha−1. Moreover, the application of γ-PGA, alone or in combination with DCD, increased the abundance of soil microbes. Bacteria (Proteobacteria, Actinobacteriota, and Firmicutes) as well as fungi (Basidiomycota and Mortierellomycota) contributed to HM accumulation and resistance to stress by altering soil enzyme activities, C and N fractions. Additionally, Acidobacteriota and Patescibacteria are beneficial to reducing soil GHG emissions and GWP in P. americanum × P. purpureum soil treated with γ-PGA and DCD. In conclusion, P. americanum × P. purpureum with the combined addition of γ-PGA and DCD increased HM extraction and total C sequestration in the plant-soil system. This approach offers a scientific basis and promising approach for integrating phytoremediation with C sequestration.
{"title":"Combined addition of γ-PGA and DCD facilitates phytoremediation of heavy metals and carbon sequestration: A field experiment","authors":"Yexi Liang , Bo Gao , Xingfeng Zhang , Haifeng Yi , Junjiang Li , Wenying Zhang","doi":"10.1016/j.jenvman.2025.124746","DOIUrl":"10.1016/j.jenvman.2025.124746","url":null,"abstract":"<div><div>A field study examined the impact of γ-polyglutamic acid (γ-PGA), both alone and in combination with dicyandiamide (DCD), on the phytoremediation of soil contaminated with Cd, Pb, and Zn. This study focused on the heavy metal (HM) accumulation, and soil CO<sub>2</sub> and N<sub>2</sub>O emissions in <em>Cosmos sulphureus</em> and <em>Pennisetum americanum</em> × <em>P. purpureum</em>, and soil microbial communities. The findings indicated that the application of γ-PGA, either alone or in combination with DCD, increased plant yield and HM bioavailability in the soil, leading to improved HM uptake by plants. For <em>P. americanum</em> × <em>P. purpureum</em>, compared to CK treatment, the combined addition of γ-PGA and DCD increased the Cd, Pb, and Zn extraction by 131.4%, 80.6%, and 99.7%, respectively. Compared to γ-PGA alone, the combined addition of γ-PGA and DCD reduced the soil N<sub>2</sub>O emission and global warming potential by 26.4% and 39.1%, respectively. <em>P. americanum × P. purpureum</em> treated with γ-PGA and DCD achieved C sequestration of 829 kg ha<sup>−1</sup>. Moreover, the application of γ-PGA, alone or in combination with DCD, increased the abundance of soil microbes. Bacteria (<em>Proteobacteria</em>, <em>Actinobacteriota</em>, and <em>Firmicutes</em>) as well as fungi (<em>Basidiomycota</em> and <em>Mortierellomycota</em>) contributed to HM accumulation and resistance to stress by altering soil enzyme activities, C and N fractions. Additionally, <em>Acidobacteriota</em> and <em>Patescibacteria</em> are beneficial to reducing soil GHG emissions and GWP in <em>P. americanum × P. purpureum</em> soil treated with γ-PGA and DCD. In conclusion, <em>P. americanum</em> × <em>P. purpureum</em> with the combined addition of γ-PGA and DCD increased HM extraction and total C sequestration in the plant-soil system. This approach offers a scientific basis and promising approach for integrating phytoremediation with C sequestration.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124746"},"PeriodicalIF":8.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561754","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 : 2025-03-06DOI: 10.1016/j.jenvman.2025.124790
Tiago Crispim-Mendes , Ana Teresa Marques , Francesco Valerio , Sérgio Godinho , Ricardo Pita , João Paulo Silva
Steppe birds are among the most threatened terrestrial birds worldwide, requiring urgent, well-planned, and cost-effective conservation strategies to halt population declines. The little bustard (Tetrax tetrax) is one of those species that has experienced sharp population declines across its western range, yet the effectiveness of different management interventions remains poorly understood. Predictive models, such as Individual-Based Models (IBM), provide powerful tools to anticipate and assess the effectiveness of conservation scenarios for endangered species, supporting evidence-based management decisions.
In this study, we developed a spatially explicit demographic IBM to evaluate conservation strategies for the little bustard in Extremadura, Spain, where the species faces a skewed sex ratio towards males, habitat degradation and high anthropogenic mortality. Our model integrates high-resolution habitat suitability data with demographic parameters to simulate individual behaviours and interactions with the environment, forecasting habitat use and population dynamics under different management strategies.
The model calibration process supported the hypothesis that nest, chick, and adult survival positively correlate with habitat suitability. Notably, our results suggest that the unbalanced sex ratio is partially driven by low female survival rates in less favourable habitats. We simulated conservation strategies focused on habitat improvement and the mitigation of anthropogenic mortality over 50 years (2022–2072). The results indicate that habitat enhancements alone are insufficient to reverse population declines without complementary efforts to reduce anthropogenic mortality. This finding emphasizes the need for an integrated, long-term conservation strategy that combines habitat management with proactive measures to mitigate human-induced mortality, ensuring the sustainable recovery of little bustard populations.
More broadly, this study highlights the value of IBMs as high-resolution, spatially explicit decision-support tools for conservation planning, offering critical insights into prioritizing and implementing cost-effective strategies.
{"title":"Using spatially explicit individual-based models to prioritize conservation strategies: A case study on the little bustard","authors":"Tiago Crispim-Mendes , Ana Teresa Marques , Francesco Valerio , Sérgio Godinho , Ricardo Pita , João Paulo Silva","doi":"10.1016/j.jenvman.2025.124790","DOIUrl":"10.1016/j.jenvman.2025.124790","url":null,"abstract":"<div><div>Steppe birds are among the most threatened terrestrial birds worldwide, requiring urgent, well-planned, and cost-effective conservation strategies to halt population declines. The little bustard (<em>Tetrax tetrax</em>) is one of those species that has experienced sharp population declines across its western range, yet the effectiveness of different management interventions remains poorly understood. Predictive models, such as Individual-Based Models (IBM), provide powerful tools to anticipate and assess the effectiveness of conservation scenarios for endangered species, supporting evidence-based management decisions.</div><div>In this study, we developed a spatially explicit demographic IBM to evaluate conservation strategies for the little bustard in Extremadura, Spain, where the species faces a skewed sex ratio towards males, habitat degradation and high anthropogenic mortality. Our model integrates high-resolution habitat suitability data with demographic parameters to simulate individual behaviours and interactions with the environment, forecasting habitat use and population dynamics under different management strategies.</div><div>The model calibration process supported the hypothesis that nest, chick, and adult survival positively correlate with habitat suitability. Notably, our results suggest that the unbalanced sex ratio is partially driven by low female survival rates in less favourable habitats. We simulated conservation strategies focused on habitat improvement and the mitigation of anthropogenic mortality over 50 years (2022–2072). The results indicate that habitat enhancements alone are insufficient to reverse population declines without complementary efforts to reduce anthropogenic mortality. This finding emphasizes the need for an integrated, long-term conservation strategy that combines habitat management with proactive measures to mitigate human-induced mortality, ensuring the sustainable recovery of little bustard populations.</div><div>More broadly, this study highlights the value of IBMs as high-resolution, spatially explicit decision-support tools for conservation planning, offering critical insights into prioritizing and implementing cost-effective strategies.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124790"},"PeriodicalIF":8.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549948","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}
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