Pub Date : 2024-09-05DOI: 10.1016/j.ecolind.2024.112548
Patrycja Przewoźna, Adam Inglot, Marcin Mielewczyk, Krzysztof Maczka, Piotr Matczak
Easy accessibility of Urban Green Spaces (UGSs) is essential to the quality of life in urban areas. The World Health Organization (WHO) recommendations focus on spatial access to UGSs, define as accessible those larger than 0.5 ha situated up to 300 m of residential areas, and disregard the social significance of smaller green spaces. This paper assesses the extent to which the WHO recommendations permit the identification of locations for tree-covered UGSs that serve urban residents. The study uses geo-questionnaire to collect data on residents’ perception of the ecosystem services (ESs) provided by trees in both small-sized (<0.5 ha) and larger (≥0.5 ha) UGSs in two Polish cities, Poznań and Gdańsk. Three factors impacting the social perception of UGS accessibility were controlled: (a) distance to trees (influencing reaching it by walk), (b) age, (c) the ESs provided by trees in both sizes of UGSs. The minority, i.e. 26 % of respondents valued trees in the larger UGSs.
{"title":"Accessibility to urban green spaces: A critical review of WHO recommendations in the light of tree-covered areas assessment","authors":"Patrycja Przewoźna, Adam Inglot, Marcin Mielewczyk, Krzysztof Maczka, Piotr Matczak","doi":"10.1016/j.ecolind.2024.112548","DOIUrl":"https://doi.org/10.1016/j.ecolind.2024.112548","url":null,"abstract":"Easy accessibility of Urban Green Spaces (UGSs) is essential to the quality of life in urban areas. The World Health Organization (WHO) recommendations focus on spatial access to UGSs, define as accessible those larger than 0.5 ha situated up to 300 m of residential areas, and disregard the social significance of smaller green spaces. This paper assesses the extent to which the WHO recommendations permit the identification of locations for tree-covered UGSs that serve urban residents. The study uses geo-questionnaire to collect data on residents’ perception of the ecosystem services (ESs) provided by trees in both small-sized (<0.5 ha) and larger (≥0.5 ha) UGSs in two Polish cities, Poznań and Gdańsk. Three factors impacting the social perception of UGS accessibility were controlled: (a) distance to trees (influencing reaching it by walk), (b) age, (c) the ESs provided by trees in both sizes of UGSs. The minority, i.e. 26 % of respondents valued trees in the larger UGSs.","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195680","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 : 2024-09-05DOI: 10.1016/j.ecolind.2024.112563
M. Durand, N. Le Guyader, J. Gervaix, S. Czarnes, T. Pommier
Excavation of agricultural topsoils traditionally used in city landscaping results in strong environmental impacts and a rarefaction of -urban fertile soils. The construction of fertile technosols in a circular economy approach using urban wastes is an attractive alternative to such unsustainable practices. However, these soils have specific characteristics, such as rapid pedogenesis and strong influence of parental materials, that conventional agronomic indicators may overlook. Here we investigated 21 monitoring indicators during the 24 months maturation of nine stockpiles of constructed technosols, differing on initial compost proportions and presence of prairial cover. We compared standard agronomic measurements to pools of inorganic nitrogen (N) and to various microbial related parameters. Carbon Substrate-Induced Respiration was used as proxy for active microbial biomass. We focused on three N-cycling microbial activities associated to N available to plants: free-living bacteria nitrogen fixation, nitrification and denitrification enzyme activities. The relative abundances of microbial genes associated with all these activities were also measured to evaluate microbial total and N-specific populations. Conventional agronomic parameters disclosed the importance of the initial proportions of compost and of the prairial cover but failed to monitor the temporal dynamic of technosols fertility. The monitoring of microbial parameters complemented these assessments, revealed the differences in N-fertility among technosols and informed on the maturation 18 months after establishment. This work provides new insights into the understanding of the maturation of silt and compost mixtures. Furthermore, these results highlight the potential of microbial indicators to improve the management of technosols constructed for urban landscapes.
{"title":"N-microbial properties are key indicators of fertility in maturating technosols constructed for urban landscapes","authors":"M. Durand, N. Le Guyader, J. Gervaix, S. Czarnes, T. Pommier","doi":"10.1016/j.ecolind.2024.112563","DOIUrl":"https://doi.org/10.1016/j.ecolind.2024.112563","url":null,"abstract":"Excavation of agricultural topsoils traditionally used in city landscaping results in strong environmental impacts and a rarefaction of -urban fertile soils. The construction of fertile technosols in a circular economy approach using urban wastes is an attractive alternative to such unsustainable practices. However, these soils have specific characteristics, such as rapid pedogenesis and strong influence of parental materials, that conventional agronomic indicators may overlook. Here we investigated 21 monitoring indicators during the 24 months maturation of nine stockpiles of constructed technosols, differing on initial compost proportions and presence of prairial cover. We compared standard agronomic measurements to pools of inorganic nitrogen (N) and to various microbial related parameters. Carbon Substrate-Induced Respiration was used as proxy for active microbial biomass. We focused on three N-cycling microbial activities associated to N available to plants: free-living bacteria nitrogen fixation, nitrification and denitrification enzyme activities. The relative abundances of microbial genes associated with all these activities were also measured to evaluate microbial total and N-specific populations. Conventional agronomic parameters disclosed the importance of the initial proportions of compost and of the prairial cover but failed to monitor the temporal dynamic of technosols fertility. The monitoring of microbial parameters complemented these assessments, revealed the differences in N-fertility among technosols and informed on the maturation 18 months after establishment. This work provides new insights into the understanding of the maturation of silt and compost mixtures. Furthermore, these results highlight the potential of microbial indicators to improve the management of technosols constructed for urban landscapes.","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195678","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 : 2024-09-04DOI: 10.1016/j.ecolind.2024.112554
Bo Shu, Yang Liu, Chen Wang, Hao Zhang, Majid Amani-Beni, Ruizhi Zhang
It has been over 20 years since the world entered the 21st century, and the economy and science and technology of various countries have developed rapidly. However, the threat and losses of natural disasters to humanity have never diminished. Global disaster risk is increasing year by year in new forms and scales. Sichuan Province, as one of the provinces with the highest number of geological disasters in China, and its rural settlements, as a high-risk area for geological disasters, are the key and difficult points for disaster prevention in China. This article selects rural settlements in Yibin City, Sichuan Province as the research area. By analyzing historical disasters and local geographical characteristics, statistical methods are used to screen and construct a geological hazard risk assessment model for rural settlements in Yibin City. A quantitative and qualitative analysis was conducted on the key indicators of geological hazard risk in rural settlements in Yibin City. Multiple models were used to comprehensively evaluate the risk of geological hazards in rural settlements in Yibin City and a zoning study was conducted. Then, the accuracy of different models was compared, and the random forest model was selected as the computation model for disaster avoidance site selection in rural settlements in Yibin City. Thus obtaining the zoning map of geological hazard risk level in Yibin City. Finally, we conducted a site selection analysis for Rural settlements with different levels of geological hazard risk. And propose strategies for optimizing site selection.
{"title":"Geological hazard risk assessment and rural settlement site selection using GIS and random forest algorithm","authors":"Bo Shu, Yang Liu, Chen Wang, Hao Zhang, Majid Amani-Beni, Ruizhi Zhang","doi":"10.1016/j.ecolind.2024.112554","DOIUrl":"https://doi.org/10.1016/j.ecolind.2024.112554","url":null,"abstract":"It has been over 20 years since the world entered the 21st century, and the economy and science and technology of various countries have developed rapidly. However, the threat and losses of natural disasters to humanity have never diminished. Global disaster risk is increasing year by year in new forms and scales. Sichuan Province, as one of the provinces with the highest number of geological disasters in China, and its rural settlements, as a high-risk area for geological disasters, are the key and difficult points for disaster prevention in China. This article selects rural settlements in Yibin City, Sichuan Province as the research area. By analyzing historical disasters and local geographical characteristics, statistical methods are used to screen and construct a geological hazard risk assessment model for rural settlements in Yibin City. A quantitative and qualitative analysis was conducted on the key indicators of geological hazard risk in rural settlements in Yibin City. Multiple models were used to comprehensively evaluate the risk of geological hazards in rural settlements in Yibin City and a zoning study was conducted. Then, the accuracy of different models was compared, and the random forest model was selected as the computation model for disaster avoidance site selection in rural settlements in Yibin City. Thus obtaining the zoning map of geological hazard risk level in Yibin City. Finally, we conducted a site selection analysis for Rural settlements with different levels of geological hazard risk. And propose strategies for optimizing site selection.","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195681","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}
Permafrost in Mongolia is located in the transition zone between high-latitude and high-altitude permafrost regions of the Northern Hemisphere, with large temperature differences and complex subsurface characteristics. In this study, the reliability of the skin temperature data from the ERA5-Land product covering Mongolia is assessed via site observations. The ERA5-Land skin temperature dataset shows a cold bias, which is more pronounced in the cold season. Following calibration based on elevation differences, significant improvements are observed at both the annual scale (92 % improvement in RMSE (root mean square error) and 98 % improvement in MBE (mean bias error)) and the seasonal scale (78 % improvement in RMSE and 82 % improvement in MBE). Additionally, the spatial variations in the surface freezing index (SFI) and surface thawing index (STI) are most pronounced in the central and northeastern Mongolia. The SFI exhibits a significant decreasing trend of 7.16 °C·d/year, while the STI shows a significant increasing trend of 4.49 °C·d/year. Furthermore, the permafrost extent in Mongolia is simulated from 1950 to 2022 using the frost number (Fn) model and the temperature on top of permafrost (TTOP) model. The validated results indicate that the accuracy of the Fn model is relatively high, with an overall accuracy of 0.9 and a Kappa coefficient of 0.47. The permafrost extent in Mongolia has declined from 734.7 × 10 km in the 1950 s to 480.1 × 10 km in the 2010 s, with a prominent decrease of 3.2 × 10 km/decade after 1994. According to the variations in permafrost extent during past 72 years, the Hovsgol and Khentii Mountain ranges have experienced significant permafrost degradation.
{"title":"Spatiotemporal variations of permafrost extent in Mongolia during 1950–2022","authors":"Xin Ma, Tonghua Wu, Saruulzaya Adiya, Dashtseren Avirmed, Xiaofan Zhu, Chengpeng Shang, Xuchun Yan, Peiqing Lou, Dong Wang, Jie Chen, Amin Wen, Yune La","doi":"10.1016/j.ecolind.2024.112558","DOIUrl":"https://doi.org/10.1016/j.ecolind.2024.112558","url":null,"abstract":"Permafrost in Mongolia is located in the transition zone between high-latitude and high-altitude permafrost regions of the Northern Hemisphere, with large temperature differences and complex subsurface characteristics. In this study, the reliability of the skin temperature data from the ERA5-Land product covering Mongolia is assessed via site observations. The ERA5-Land skin temperature dataset shows a cold bias, which is more pronounced in the cold season. Following calibration based on elevation differences, significant improvements are observed at both the annual scale (92 % improvement in RMSE (root mean square error) and 98 % improvement in MBE (mean bias error)) and the seasonal scale (78 % improvement in RMSE and 82 % improvement in MBE). Additionally, the spatial variations in the surface freezing index (SFI) and surface thawing index (STI) are most pronounced in the central and northeastern Mongolia. The SFI exhibits a significant decreasing trend of 7.16 °C·d/year, while the STI shows a significant increasing trend of 4.49 °C·d/year. Furthermore, the permafrost extent in Mongolia is simulated from 1950 to 2022 using the frost number (Fn) model and the temperature on top of permafrost (TTOP) model. The validated results indicate that the accuracy of the Fn model is relatively high, with an overall accuracy of 0.9 and a Kappa coefficient of 0.47. The permafrost extent in Mongolia has declined from 734.7 × 10 km in the 1950 s to 480.1 × 10 km in the 2010 s, with a prominent decrease of 3.2 × 10 km/decade after 1994. According to the variations in permafrost extent during past 72 years, the Hovsgol and Khentii Mountain ranges have experienced significant permafrost degradation.","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195679","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 : 2024-09-04DOI: 10.1016/j.ecolind.2024.112573
Ramandeep Kumar Sharma, Jagmandeep Dhillon, Pushp Kumar, K Raja Reddy, Vaughn Reed, Darrin M. Dodds, Krishna N. Reddy
Development of mitigation strategies to combat climate change necessitates an advanced analysis of the historical connection between crops and climate. Such an analysis is lacking for the cotton ( L.)-climate research in Mississippi (MS). Hitherto, research has been confined to small-scale experimental settings, leaving an opportunity to explore large-scale inferences. Therefore, the present study aimed to compute MS climatic trends during the cotton growing period (CGP) from 1970 to 2020 using the Mann-Kendall and Sen slope methods. The impact of climate change on MS cotton yield was assessed using the autoregressive distributed lag (ARDL) model. The climatic variables considered were maximum temperature (Tmax), minimum temperature (Tmin), diurnal temperature range (DTR), precipitation (PR), and CO emissions (COE). A required series of statistical tests, including pre- and post-analysis, model robustness, and goodness-of-fit were performed, and data met all criteria. Results revealed that Tmin (79.6 %) contributed more than Tmax (20.4 %) to the MS-climate warming over CGP. From 1970 to 2020, the Tmax, Tmin, DTR, and PR changed by + 0.30 °C, +1.17 °C, −1.07 °C, and + 22.54 mm, respectively, exhibiting change rate per decade of + 0.06 °C, +0.23 °C, −0.21 °C, and + 4.42 mm, respectively. Precipitation had no effect on cotton yield in the long or short-term. However, cotton yield significantly decreased with a rise in Tmax, and increased with a rise in Tmin and COE in the long-term. Conclusively, a 1 °C increase in Tmax reduced cotton yield by 6.1 %, a 1 °C increase in Tmin improved it by 5.5 %, and a unit increase in COE increased it by 0.45 % over the long run. Overall, the crop-climate link in MS cotton marked a varied sensitivity towards short and long-term, indicating the need to reassess current mitigation strategies. Additionally, testing the best agronomic practices in a controlled environment at the actual rates of climate change identified by the current study could provide cotton stakeholders with more precise and valuable insights.
{"title":"Modelling the climate change and cotton yield relationship in Mississippi: Autoregressive distributed lag approach","authors":"Ramandeep Kumar Sharma, Jagmandeep Dhillon, Pushp Kumar, K Raja Reddy, Vaughn Reed, Darrin M. Dodds, Krishna N. Reddy","doi":"10.1016/j.ecolind.2024.112573","DOIUrl":"https://doi.org/10.1016/j.ecolind.2024.112573","url":null,"abstract":"Development of mitigation strategies to combat climate change necessitates an advanced analysis of the historical connection between crops and climate. Such an analysis is lacking for the cotton ( L.)-climate research in Mississippi (MS). Hitherto, research has been confined to small-scale experimental settings, leaving an opportunity to explore large-scale inferences. Therefore, the present study aimed to compute MS climatic trends during the cotton growing period (CGP) from 1970 to 2020 using the Mann-Kendall and Sen slope methods. The impact of climate change on MS cotton yield was assessed using the autoregressive distributed lag (ARDL) model. The climatic variables considered were maximum temperature (Tmax), minimum temperature (Tmin), diurnal temperature range (DTR), precipitation (PR), and CO emissions (COE). A required series of statistical tests, including pre- and post-analysis, model robustness, and goodness-of-fit were performed, and data met all criteria. Results revealed that Tmin (79.6 %) contributed more than Tmax (20.4 %) to the MS-climate warming over CGP. From 1970 to 2020, the Tmax, Tmin, DTR, and PR changed by + 0.30 °C, +1.17 °C, −1.07 °C, and + 22.54 mm, respectively, exhibiting change rate per decade of + 0.06 °C, +0.23 °C, −0.21 °C, and + 4.42 mm, respectively. Precipitation had no effect on cotton yield in the long or short-term. However, cotton yield significantly decreased with a rise in Tmax, and increased with a rise in Tmin and COE in the long-term. Conclusively, a 1 °C increase in Tmax reduced cotton yield by 6.1 %, a 1 °C increase in Tmin improved it by 5.5 %, and a unit increase in COE increased it by 0.45 % over the long run. Overall, the crop-climate link in MS cotton marked a varied sensitivity towards short and long-term, indicating the need to reassess current mitigation strategies. Additionally, testing the best agronomic practices in a controlled environment at the actual rates of climate change identified by the current study could provide cotton stakeholders with more precise and valuable insights.","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195682","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 : 2024-09-04DOI: 10.1016/j.ecolind.2024.112461
Xuechao Xia, Hui Sun, Jing Tang, Luyao Xu
In response to the conflict between environmental management and economic and social progress, the Chinese government has launched a project to design a spatial framework for polycentric cities. However, the role of polycentric in influencing the environment remains controversial, and fewer studies are related to the mechanisms of their influence. Thus, the study sample for this paper consisted of 272 prefecture-level cities in China from 2006 to 2021. Urban polycentric and geographic concentration were calculated using the place-order scale approach to determine pollution agglomeration. Subsequently, polycentric influence on pollution agglomeration and the mechanisms that underpin it are investigated using two-way fixed-effects and mediated-effects models. The findings indicate that China’s pollution agglomeration levels shifted from “high in the east and low in the west” to “low in the east and high in the west” throughout the study period. Cities’ spatial structure is predominantly polycentric, and the polycentric tends to strengthen. The benchmark regression findings demonstrate that polycentric development is conducive to reducing pollution concentration. Heterogeneity shows that polycentric is more effective in reducing pollution in super-sized cities, cities with high economic development, and non-resource cities. According to the examination of mediation effects, increasing the agglomeration of productive services and reducing the distortion in capital factor markets are important paths for polycentric to improve their environment. These conclusions provide empirical evidence for understanding the relationship between urban spatial structure and pollution agglomeration, offering a theoretical basis for government to formulate urban spatial development plans.
{"title":"Can polycentric urban spatial structures reduce pollution aggregation?","authors":"Xuechao Xia, Hui Sun, Jing Tang, Luyao Xu","doi":"10.1016/j.ecolind.2024.112461","DOIUrl":"https://doi.org/10.1016/j.ecolind.2024.112461","url":null,"abstract":"In response to the conflict between environmental management and economic and social progress, the Chinese government has launched a project to design a spatial framework for polycentric cities. However, the role of polycentric in influencing the environment remains controversial, and fewer studies are related to the mechanisms of their influence. Thus, the study sample for this paper consisted of 272 prefecture-level cities in China from 2006 to 2021. Urban polycentric and geographic concentration were calculated using the place-order scale approach to determine pollution agglomeration. Subsequently, polycentric influence on pollution agglomeration and the mechanisms that underpin it are investigated using two-way fixed-effects and mediated-effects models. The findings indicate that China’s pollution agglomeration levels shifted from “high in the east and low in the west” to “low in the east and high in the west” throughout the study period. Cities’ spatial structure is predominantly polycentric, and the polycentric tends to strengthen. The benchmark regression findings demonstrate that polycentric development is conducive to reducing pollution concentration. Heterogeneity shows that polycentric is more effective in reducing pollution in super-sized cities, cities with high economic development, and non-resource cities. According to the examination of mediation effects, increasing the agglomeration of productive services and reducing the distortion in capital factor markets are important paths for polycentric to improve their environment. These conclusions provide empirical evidence for understanding the relationship between urban spatial structure and pollution agglomeration, offering a theoretical basis for government to formulate urban spatial development plans.","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195685","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}
As one of the most typical karst landscapes globally, the karst regions in southwestern China are characterized by prominent rocky desertification and fragile ecological conditions. Consequently, exploring the spatiotemporal evolution and driving influences on ecosystem health (EH) in this region is of great significance for the improvement of ecosystems and green development. This study focuses on assessing EH in these regions from 2000 to 2020 using the “vitality-organization-recovery-service” (VORS) framework. Spatiotemporal changes in EH are analyzed through hotspot analysis, and the functional relationship between driving factors and EH is quantified using XGBoost and SHAP models. Key findings include: (1) Over the past two decades, the proportion of cities experiencing enhanced EH has generally improved in 73% of cities compared to 27% experiencing deterioration. (2) Spatial analysis reveals EH clustering in three regions. One cold spot cluster in the central north and two hot spot clusters in the southwest and southeast. (3) Urbanization level exhibits an inverse logarithmic relationship with EH. Precipitation affects EH in a cubic polynomial pattern—initial decrease, subsequent increase, and final decrease. Temperature impacts EH through a quartic polynomial function with fluctuating increases and decreases. PM2.5 shows a monotonically decreasing relationship with EH, while the normalized difference vegetation index demonstrates a monotonically increasing association. This research contributes to understanding EH dynamics in southwestern China’s karst landscapes, crucial for advancing ecosystem management and sustainable development efforts.
{"title":"Spatiotemporal evolution of ecosystem health and its driving factors in the southwestern karst regions of China","authors":"Ninglei Ouyang, Xiaoping Rui, Xuepeng Zhang, Heng Tang, Yiheng Xie","doi":"10.1016/j.ecolind.2024.112530","DOIUrl":"https://doi.org/10.1016/j.ecolind.2024.112530","url":null,"abstract":"As one of the most typical karst landscapes globally, the karst regions in southwestern China are characterized by prominent rocky desertification and fragile ecological conditions. Consequently, exploring the spatiotemporal evolution and driving influences on ecosystem health (EH) in this region is of great significance for the improvement of ecosystems and green development. This study focuses on assessing EH in these regions from 2000 to 2020 using the “vitality-organization-recovery-service” (VORS) framework. Spatiotemporal changes in EH are analyzed through hotspot analysis, and the functional relationship between driving factors and EH is quantified using XGBoost and SHAP models. Key findings include: (1) Over the past two decades, the proportion of cities experiencing enhanced EH has generally improved in 73% of cities compared to 27% experiencing deterioration. (2) Spatial analysis reveals EH clustering in three regions. One cold spot cluster in the central north and two hot spot clusters in the southwest and southeast. (3) Urbanization level exhibits an inverse logarithmic relationship with EH. Precipitation affects EH in a cubic polynomial pattern—initial decrease, subsequent increase, and final decrease. Temperature impacts EH through a quartic polynomial function with fluctuating increases and decreases. PM2.5 shows a monotonically decreasing relationship with EH, while the normalized difference vegetation index demonstrates a monotonically increasing association. This research contributes to understanding EH dynamics in southwestern China’s karst landscapes, crucial for advancing ecosystem management and sustainable development efforts.","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195684","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 : 2024-09-02DOI: 10.1016/j.ecolind.2024.112552
Ge Lan, Yi Xiao, Xiaohu Ci, Yanjun Zhang, Jun Xia
Green development is one of the core elements of high-quality regional development. The Yangtze River Economic Belt stands as the primary area for China’s pursuit of sustainable development. This study analyzes the changes in water resource depletion values within the urban agglomeration of the Yangtze River Economic Belt, as well as the overall scale structure. A total of 44 indicators were selected from the three dimensions, namely green environment, green lifestyle, and green economy, to establish an evaluation index system aimed at assessing the level of green development. Through the application of the entropy-TOPSIS method, geographical detectors, and spatial autocorrelation analysis, the spatial and temporal differentiation variances in green development levels were examined, as well as the influencing factors across 73 cities situated within the three major city clusters from 2000 to 2020. The results show that: (1) The total value of water resource depletion in the three major urban agglomerations exhibits a fluctuating downward trajectory, reaching its lowest point in 2020. (2) City sizes within these three major urban agglomerations are relatively centralized, with high-ranking cities exhibiting limited prominence, showing weak leading advantages. (3) The green development level exhibits an overall upward trend from 2000 to 2020. Cities with higher levels of green development are mainly concentrated in the Yangtze River Delta and the capital cities are situated in the upper and middle reaches. (4) Key influencing factors of the green development level include carbon emissions per unit of GDP, length of drainage pipe per capita, gross domestic product per capita, disposable income of urban residents per capita, and water consumption per unit of GDP. The spatial variance in these indicators explains over 60% of the green development level. Based on the research results, this paper puts forward three policy recommendations: first, to grow the green industry. The second is to promote green municipal infrastructure planning. The third is to encourage regional synergistic cooperation and play the role of radiation leadership of core cities.
绿色发展是区域高质量发展的核心要素之一。长江经济带是中国实现可持续发展的首要区域。本研究分析了长江经济带城市群内部水资源耗损值的变化以及总体规模结构。从绿色环境、绿色生活方式、绿色经济三个维度共选取 44 个指标，建立了旨在评价绿色发展水平的评价指标体系。通过应用熵-TOPSIS 法、地理检测器和空间自相关分析，研究了 2000 年至 2020 年三大城市群 73 个城市绿色发展水平的时空差异差异及其影响因素。结果表明(1）三大城市群的水资源消耗总值呈波动下降轨迹，2020 年达到最低点。(2）三大城市群内城市规模相对集中，高等级城市突出度有限，领先优势较弱。(3）2000-2020 年，绿色发展水平总体呈上升趋势。绿色发展水平较高的城市主要集中在长三角地区，省会城市位于中上游。(4）绿色发展水平的主要影响因素包括单位 GDP 碳排放量、人均排水管道长度、人均国内生产总值、城镇居民人均可支配收入和单位 GDP 水耗。这些指标的空间差异对绿色发展水平的解释率超过 60%。基于研究成果，本文提出了三点政策建议：一是壮大绿色产业。二是推动绿色市政基础设施规划。三是鼓励区域协同合作，发挥核心城市的辐射引领作用。
{"title":"Spatial and temporal differentiation characteristics of green development levels in urban agglomerations within the Yangtze River economic Belt and analysis of influencing factors","authors":"Ge Lan, Yi Xiao, Xiaohu Ci, Yanjun Zhang, Jun Xia","doi":"10.1016/j.ecolind.2024.112552","DOIUrl":"https://doi.org/10.1016/j.ecolind.2024.112552","url":null,"abstract":"Green development is one of the core elements of high-quality regional development. The Yangtze River Economic Belt stands as the primary area for China’s pursuit of sustainable development. This study analyzes the changes in water resource depletion values within the urban agglomeration of the Yangtze River Economic Belt, as well as the overall scale structure. A total of 44 indicators were selected from the three dimensions, namely green environment, green lifestyle, and green economy, to establish an evaluation index system aimed at assessing the level of green development. Through the application of the entropy-TOPSIS method, geographical detectors, and spatial autocorrelation analysis, the spatial and temporal differentiation variances in green development levels were examined, as well as the influencing factors across 73 cities situated within the three major city clusters from 2000 to 2020. The results show that: (1) The total value of water resource depletion in the three major urban agglomerations exhibits a fluctuating downward trajectory, reaching its lowest point in 2020. (2) City sizes within these three major urban agglomerations are relatively centralized, with high-ranking cities exhibiting limited prominence, showing weak leading advantages. (3) The green development level exhibits an overall upward trend from 2000 to 2020. Cities with higher levels of green development are mainly concentrated in the Yangtze River Delta and the capital cities are situated in the upper and middle reaches. (4) Key influencing factors of the green development level include carbon emissions per unit of GDP, length of drainage pipe per capita, gross domestic product per capita, disposable income of urban residents per capita, and water consumption per unit of GDP. The spatial variance in these indicators explains over 60% of the green development level. Based on the research results, this paper puts forward three policy recommendations: first, to grow the green industry. The second is to promote green municipal infrastructure planning. The third is to encourage regional synergistic cooperation and play the role of radiation leadership of core cities.","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195683","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 : 2024-09-01DOI: 10.1016/j.ecolind.2024.112337
Micro(nano)plastics (MNPs) are pervasive pollutants posing significant environmental and health risks. Selecting appropriate sentinel species to assess MNPs in terrestrial and aquatic environments involves considering factors such as species behavior, habitat, exposure pathways, and the feasibility of sampling. For these reasons, it was imperative to launch a virtual special issue (VSI) in Ecological Indicators. This editorial summarizes the contributions submitted to the VSI, which invited research on bioindicators of MNPs, including sampling protocols, monitoring strategies, and analytical methods, to advance our understanding and management of plastic pollution. The VSI received a total of 12 contributions from four countries, with a significant majority originating from Italy. To present the contributions, we have organized the sections into original articles and reviews. The original articles are further divided into sections on the occurrence of MNPs in biotic and abiotic compartments, the selection of bioindicators, and the effects and risk assessment of MPs. The reviews are categorized based on their focus on aquatic and terrestrial ecosystems. Future ecotoxicology studies should select bioindicators based on exposure to MNPs, conservation status, ecological roles, and human consumption.
{"title":"Bioindicators selection in the strategies for monitoring microplastic pollution","authors":"","doi":"10.1016/j.ecolind.2024.112337","DOIUrl":"10.1016/j.ecolind.2024.112337","url":null,"abstract":"<div><p>Micro(nano)plastics (MNPs) are pervasive pollutants posing significant environmental and health risks. Selecting appropriate sentinel species to assess MNPs in terrestrial and aquatic environments involves considering factors such as species behavior, habitat, exposure pathways, and the feasibility of sampling. For these reasons, it was imperative to launch a virtual special issue (VSI) in Ecological Indicators. This editorial summarizes the contributions submitted to the VSI, which invited research on bioindicators of MNPs, including sampling protocols, monitoring strategies, and analytical methods, to advance our understanding and management of plastic pollution. The VSI received a total of 12 contributions from four countries, with a significant majority originating from Italy. To present the contributions, we have organized the sections into original articles and reviews. The original articles are further divided into sections on the occurrence of MNPs in biotic and abiotic compartments, the selection of bioindicators, and the effects and risk assessment of MPs. The reviews are categorized based on their focus on aquatic and terrestrial ecosystems. Future ecotoxicology studies should select bioindicators based on exposure to MNPs, conservation status, ecological roles, and human consumption.</p></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1470160X24007945/pdfft?md5=52ab6939d451bdffe6c41d1397040e87&pid=1-s2.0-S1470160X24007945-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141689020","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 : 2024-09-01DOI: 10.1016/j.ecolind.2024.112560
Xingfang Pei, Kun Yang, Senlin Zhu, Tingfang Jia, Chunxue Shang, Qingqing Wang, Rixiang Chen, Dingpu Li, Changqing Peng, Yi Luo
Urban progression influences water conservation by altering surface characteristics and local climate regimes, potentially posing significant risks to water sustainability and ecological integrity. Since 2015, the Chinese government has championed a new development philosophy aimed at promoting harmonious coexistence between human and nature. Based on the green connotation of the new development philosophy, this study simulated the spatial and temporal distribution of water conservation in five plateau lakeside cities (Plateau Lakeside City-PLC: Dianchi Lake Basin-DCB, Fuxian Lake Basin-FXB, Erhai Lake Basin-EHB, Qilu Lake Basin-QLB and Xingyun Lake Basin-XYB), established a comprehensive framework of indicators affecting water conservation, and quantified the changes in the drivers of water conservation. The results indicated that, except for DCB, the spatial distribution of water conservation in PLC exhibits similarity, but overall demonstrates a declining trend over time. The average importance of the factors in the PLC was weighed using Geodetector’s q value. The most critical factors affecting water conservation in PLC included climate change (precipitation: q_=0.66; evaporation: q_=0.57) and land cover (q_=0.45). In addition, the topography (slope: q_=0.39; elevation: q_=0.43), vegetation coverage (q_=0.30), and soil (plant available water content: q_=0.38; root restricting layer depth: q_=0.18) were influential factors followed climate change and land cover. Among the social factors, population density (q_=0.37) has a small impact on water conservation, while economic activities and human-related land activities (q_,q_ and q_ are all less than 0.1) do not show a significant impact, due to the government’s implementation of the new development philosophy, which balances development and conservation.
{"title":"Water conservation for plateau lakeside cities under the new development philosophy","authors":"Xingfang Pei, Kun Yang, Senlin Zhu, Tingfang Jia, Chunxue Shang, Qingqing Wang, Rixiang Chen, Dingpu Li, Changqing Peng, Yi Luo","doi":"10.1016/j.ecolind.2024.112560","DOIUrl":"https://doi.org/10.1016/j.ecolind.2024.112560","url":null,"abstract":"Urban progression influences water conservation by altering surface characteristics and local climate regimes, potentially posing significant risks to water sustainability and ecological integrity. Since 2015, the Chinese government has championed a new development philosophy aimed at promoting harmonious coexistence between human and nature. Based on the green connotation of the new development philosophy, this study simulated the spatial and temporal distribution of water conservation in five plateau lakeside cities (Plateau Lakeside City-PLC: Dianchi Lake Basin-DCB, Fuxian Lake Basin-FXB, Erhai Lake Basin-EHB, Qilu Lake Basin-QLB and Xingyun Lake Basin-XYB), established a comprehensive framework of indicators affecting water conservation, and quantified the changes in the drivers of water conservation. The results indicated that, except for DCB, the spatial distribution of water conservation in PLC exhibits similarity, but overall demonstrates a declining trend over time. The average importance of the factors in the PLC was weighed using Geodetector’s q value. The most critical factors affecting water conservation in PLC included climate change (precipitation: q_=0.66; evaporation: q_=0.57) and land cover (q_=0.45). In addition, the topography (slope: q_=0.39; elevation: q_=0.43), vegetation coverage (q_=0.30), and soil (plant available water content: q_=0.38; root restricting layer depth: q_=0.18) were influential factors followed climate change and land cover. Among the social factors, population density (q_=0.37) has a small impact on water conservation, while economic activities and human-related land activities (q_,q_ and q_ are all less than 0.1) do not show a significant impact, due to the government’s implementation of the new development philosophy, which balances development and conservation.","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195774","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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