This study focuses on the innovative pathways through which the digital economy enables the activation of sleeping resources in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).It demonstrates the effectiveness of ...This study focuses on the innovative pathways through which the digital economy enables the activation of sleeping resources in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).It demonstrates the effectiveness of digital technologies in revitalizing idle resources by constructing a“Digital Bay Area”collaborative platform,integrating government and enterprise data resources,and analyzing three typical cases:China Mobile’s“5G+Smart Agriculture”pilot,Dongguan’s“Characteristic Industry IP+Digital Economy”model,and Shenzhen’s cross-border logistics upgrading practice.The research finds that resource activation requires supporting institutional innovations to break regional barriers,which can provide practical references for the optimal allocation of resources in the GBA and facilitate the region’s high-quality development.展开更多
Mitigating national climate change requires achieving carbon neutrality,necessitating innovative land cover strategies that reconcile economic development with enhanced carbon sinks,particularly in rapidly urbanizing ...Mitigating national climate change requires achieving carbon neutrality,necessitating innovative land cover strategies that reconcile economic development with enhanced carbon sinks,particularly in rapidly urbanizing megaregions such as the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)in China.This study developed a novel assessment framework that integrates Multi-Objective Programming(MOP)land cover simulations with a Carbon Neutrality Effect(CNE)matrix and a neighborhood proxy method.This framework provides a quantitative evaluation of vegetation carbon sink dynamics resulting from land cover transitions during 2020-2060 under four scenarios:economic development first(ED),carbon neutrality first(EC),sustainable development(EDC),and natural development(EN).Model validation achieved high accuracy(Kappa coefficient=0.77,Overall Accuracy(OA)=0.84).Projected land cover changes revealed distinct transition patterns.Specifically,under the ED and EN scenarios,land cover changes will dominate by the expansion of urban area at the losses of grassland and crop land;under the EC scenario,the new forested land is primarily from crop land and grassland;and under the EDC scenario,urban area and forested land will achieve simultaneous expansion.Moreover,this study found the net vegetation carbon losses of 51.43×1010and 274.54×1010g C under the ED and EN scenarios,respectively,undermining carbon neutrality.In contrast,there will be a significant net carbon gain(64.52×1010g C)under the EC scenario.Crucially,the EDC scenario demonstrates a viable balance,minimizing vegetation carbon loss(7.00×1010g C)while substantially enhancing both socioeconomic benefit(1.34×1012CNY/a)and vegetation carbon sink benefit(0.15×1012CNY/a).This study underscores the critical role of optimized land cover planning in fostering synergistic economic growth and carbon neutrality.The findings provide actionable insights for the implementation of‘Dual Carbon’strategy in the GBA and serve as a valuable reference for sustainable land management in climate-vulnerable coastal megacities worldwide.展开更多
This study explores the integration of cross-cultural narrative competence(CCNC)in tourism translation teaching in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Using a qualitative research approach(primarily se...This study explores the integration of cross-cultural narrative competence(CCNC)in tourism translation teaching in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Using a qualitative research approach(primarily semi-structured interviews),this study selects four university English teachers,four translation students from different grades,and four tourism industry practitioners in the GBA as research participants to systematically examine the current status and integration pathways of CCNC in tourism translation teaching.The findings reveal that current tourism translation teaching remains dominated by linguistic skill training with an overemphasis on language equivalence,while CCNC has yet to be systematically incorporated into the curriculum.Respondents demonstrate insufficient cognitive clarity regarding CCNC but show high recognition of its value,widely acknowledging its core role in tourism translation.In authentic tourism contexts,translation transcends mere linguistic conversion and serves as a medium for cultural meaning construction and dissemination.Furthermore,students exhibit a notable deficiency in cultural expression ability alongside prominent practical needs,with a unanimous demand for practice-oriented and situational teaching.On this basis,this study put forward three feasible integration pathways of CCNC in tourism translation teaching,such as task-driven situational teaching,cultural reconstruction and expression training,and the integration of local cultural resources in the GBA.These teaching integration pathways for CCNC provide practical references for the innovation of tourism translation teaching in the GBA.展开更多
Rapid morphological and socioeconomic changes have accelerated the urbanization process and urban land use transformation in China.Megacities comprise clusters of urban cities and exhibit both newly formed and well-de...Rapid morphological and socioeconomic changes have accelerated the urbanization process and urban land use transformation in China.Megacities comprise clusters of urban cities and exhibit both newly formed and well-developed urban land use development beyond administrative boundaries.It is necessary to distinguish the changing effects of spatial-varying driving factors on newly formed urban land uses from well-developed built-up areas in megacities.This study proposed a multi-spatial urbanization framework to quantify region-level socioeconomics,cluster-level ecological morphologies,and grid-level urban functional morphologies.A three-level Bayesian hierarchical model was developed to investigate the impacts of multi-spatial driving factors on urban land use transformation in megacities.The study period focused on the urbanization process between 2000 and 2018 in Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Results revealed that compared with well-developed urban built-up land,changing impacts of three-level driving factors in urban land use transformation could be captured based on the proposed Bayesian hierarchical model.The region-level total population was associated with increasing possibilities in forming new residential land than the well-developed ones in 35 districts/counties/cities in GBA.Cluster-level ecological attributes with higher proportion,lower edge density of urban built areas,and lower-degree ecological complexity showed increasing probability on newly formed industrial and public land.Grid-level urban functional factors including public transportation density and shopping/dining distribution exhibited significantly decreasing probability(coefficients:−2.12 to−0.51)on contributing newly formed land uses compared with the well-developed areas,whereas business/industry distribution represented higher(coefficients:0.99 and 0.15)and lower probabilities(coefficient:−0.22)of forming industrial/public land and residential land separately.This research shows a new attempt to distinguish multi-spatial morphological and socioeconomic effects in urban land use transformation in megacities.展开更多
China has experienced rapid urbanizations with dramatic land cover changes since 1978. Forest loss is one of land cover changes, and it induces various eco-environmental degradation issues. As one of China’s hotspot ...China has experienced rapid urbanizations with dramatic land cover changes since 1978. Forest loss is one of land cover changes, and it induces various eco-environmental degradation issues. As one of China’s hotspot regions, the Guangdong-Hong KongMacao Greater Bay Area(GBA) has undergone a dramatic urban expansion. To better understand forest dynamics and protect forest ecosystem, revealing the processes, patterns and underlying drivers of forest loss is essential. This study focused on the spatiotemporal evolution and potential driving factors of forest loss in the GBA at regional and city level. The Landsat time-series images from 1987 to2017 were used to derive forest, and landscape metrics and geographic information system(GIS) were applied to implement further spatial analysis. The results showed that: 1) 14.86% of the total urban growth area of the GBA was obtained from the forest loss in1987–2017;meanwhile, the forest loss area of the GBA reached 4040.6 km2, of which 25.60%(1034.42 km2) was converted to urban land;2) the percentages of forest loss to urban land in Dongguan(19.14%), Guangzhou(18.35%) and Shenzhen(15.81%) were higher than those in other cities;3) the forest became increasingly fragmented from 1987–2007, and then the fragmentation decreased from2007 to 2017);4) the landscape responses to forest changes varied with the scale;and 5) some forest loss to urban regions moved from low-elevation and gentle-slope terrains to higher-elevation and steep-slope terrains over time, especially in Shenzhen and Hong Kong.Urbanization and industrialization greatly drove forest loss and fragmentation, and, notably, hillside urban land expansion may have contributed to hillside forest loss. The findings will help policy makers in maintaining the stability of forest ecosystems, and provide some new insights into forest management and conservation.展开更多
粤港澳大湾区(Guangdong-Hong Kong-Macao Greater Bay Area,GBA)是中国经济高度发达的城市群之一.在中国“碳达峰、碳中和”目标背景下,研究GBA地区二氧化碳(CO2)与大气污染物的协同效应及其人为影响因素,对推动区域降碳减污协同治...粤港澳大湾区(Guangdong-Hong Kong-Macao Greater Bay Area,GBA)是中国经济高度发达的城市群之一.在中国“碳达峰、碳中和”目标背景下,研究GBA地区二氧化碳(CO2)与大气污染物的协同效应及其人为影响因素,对推动区域降碳减污协同治理至关重要.本研究基于2017—2020年GBA地区的多源卫星遥感数据,采用空间自相关分析、地理加权回归(Geographically weighted regression,GWR)和时空地理加权回归(Geographically and temporally weighted regression,GTWR)模型,系统分析了GBA地区CO2与大气污染物浓度及排放量的空间聚集特征与协同效应,同时,研究了气象因素与区域传输对协同效应的影响,并进一步量化了CO2的人为活动影响因素的作用.在此基础上,提出GBA区域碳减排与空气污染协同治理的优化策略.结果表明:(1)CO2与大气污染物均具有显著的空间自相关性,局部地区呈现明显的“高-高”和“低-低”聚类特征;(2)CO2与一氧化碳(CO)、二氧化氮(NO2)及氮氧化物(NOx)之间呈正协同关系,且协同效应在夏秋季节最强,冬春季节较弱,其中,CO2浓度与CO、NO2浓度的协同强度最高分别为1.30和0.49;(3)CO2与人为影响因素的回归模型拟合良好(R2平均为0.80),其中,人口密度、夜间灯光和人类活动足迹对CO2浓度和排放量均产生正向影响,而道路密度呈双向作用.本研究揭示了CO2与大气污染物之间复杂的协同效应,为制定区域碳减排与空气污染协同治理政策提供了重要科学依据,也为推动城市群的可持续发展提供了重要理论支持.展开更多
Wetlands offer important ecological functions and values.Wetland functional zoning provides a reference and basis for sustainable fulfilment and management.In this study,two coastal urban agglomerations in South China...Wetlands offer important ecological functions and values.Wetland functional zoning provides a reference and basis for sustainable fulfilment and management.In this study,two coastal urban agglomerations in South China were taken as study areas,namely,the Guangxi Beibu Gulf(GBG)and Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Based on multisource information data,a wetland functional zoning system was constructed with the four levels of zoning concept,zoning principle,zoning basis,and zoning scheme.The functional zoning and dynamic analysis of wetlands from 1990 to 2020 were carried out from multiple perspectives of wetland ecological functions,wetland management and conservation functions.The results showed that:1)in terms of wetland ecological functions,the two coastal urban agglomerations were dominated by hydrological regulation and purification of environmental functional areas.The coastal region was largely characterized by the main functional areas of climate regulation and biodiversity maintenance.2)Regarding wetland management and conservation functions,two coastal urban agglomerations exhibited similar trends in terms of the sizes of their conservation and buffer zones from 1990 to 2020.Prevention and control zones were mainly located in core cities in a concentrated manner.Conservation zones largely comprised mountainous woodlands and important wetlands.3)The two coastal urban agglomerations could be divided into 21 wetland functional zones.The central river area has remained the main prevention and control zone for many years.Regarding conservation zones,ecological protection and restoration should be the main focus.Regarding buffer zones,the construction of wetlands and surrounding complex systems should be strengthened or enhanced.Regarding prevention and control zones,activities that do not affect wetland functions should be allowed,provided that they comply with existing laws and regulations.This study could provide technical support and practical application guidance for wetland regulation and management.展开更多
The Green Belt Areas in Beijing are the key areas for constructing the ecological security pattern of the plain area and restricting the unlimited expansion of cities,and they are also the regions with strong demand f...The Green Belt Areas in Beijing are the key areas for constructing the ecological security pattern of the plain area and restricting the unlimited expansion of cities,and they are also the regions with strong demand for improving the urban ecological environmental quality.In this study,the differences in perception of the demand for ecological environmental quality in Beijing’s Green Belt Areas were analyzed based on the results of a questionnaire survey.The analysis revealed four major points.(1)About half of the respondents were very satisfied with the ecological environmental quality of the Green Belt Areas.Overall,65.22%of respondents believed that the proportion of green ecological space in the Green Belt Areas has increased and the habitat connectivity has improved.Overall satisfaction with atmospheric quality was notably high,and forest expansion was identified as the primary factor contributing to its improvement.Most respondents demonstrated a clear understanding of biodiversity and showed moderate satisfaction.(2)The main ecosystem service demands for parks in the Green Belt Areas are primarily leisure and entertainment as well as natural experiences.In addition,urban parks should emphasize services such as leisure and entertainment,ecological environmental maintenance,sports and fitness,while country parks should highlight services such as ecological conservation,environmental purification,landscape recreation,and ecological environmental maintenance.(3)The factors contributing to the improvement of ecological environmental quality are generally believed to be in the order of environmental quality>ecosystem quality>biodiversity conservation.The contributions of park construction are mainly reflected in enhancing biodiversity(70.00%)and optimizing vegetation configuration structure and quality(65.65%).(4)Education level and income disparity are the main factors contributing to cognitive differences.In the future,efforts should be made to enhance public participation and strengthen popular science publicity,and to formulate differentiated ecosystem management and service supply strategies based on the public demand for ecological environmental quality.展开更多
基金The 2025 Annual Integrated Teaching-Research-Innovation Team Project of Guangdong University of Science and Technology(Project No.:GKJXXZ2025009)2025 University-Level Scientific Research Project(Humanities and Social Sciences,General Project)of Guangdong University of Science and Technology(Project No.:GKY-2025KYYBW-5)。
摘要This study focuses on the innovative pathways through which the digital economy enables the activation of sleeping resources in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).It demonstrates the effectiveness of digital technologies in revitalizing idle resources by constructing a“Digital Bay Area”collaborative platform,integrating government and enterprise data resources,and analyzing three typical cases:China Mobile’s“5G+Smart Agriculture”pilot,Dongguan’s“Characteristic Industry IP+Digital Economy”model,and Shenzhen’s cross-border logistics upgrading practice.The research finds that resource activation requires supporting institutional innovations to break regional barriers,which can provide practical references for the optimal allocation of resources in the GBA and facilitate the region’s high-quality development.
基金financially supported by the National Key R&D Program of China(2024YFF1307100,2024YFF1307102)the Science and Technology Program of Guangdong Province(2023B12070031)+2 种基金the Guangdong Provincial Natural Science Foundation-General Program(2022A1515010632)the Fundamental Research Funds for the Central Public Welfare Research Institutes(PM-zx097-202306-310,PM-zx703-202512-351)the Guangzhou Science and Technology Plan Project(202102020666).
摘要Mitigating national climate change requires achieving carbon neutrality,necessitating innovative land cover strategies that reconcile economic development with enhanced carbon sinks,particularly in rapidly urbanizing megaregions such as the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)in China.This study developed a novel assessment framework that integrates Multi-Objective Programming(MOP)land cover simulations with a Carbon Neutrality Effect(CNE)matrix and a neighborhood proxy method.This framework provides a quantitative evaluation of vegetation carbon sink dynamics resulting from land cover transitions during 2020-2060 under four scenarios:economic development first(ED),carbon neutrality first(EC),sustainable development(EDC),and natural development(EN).Model validation achieved high accuracy(Kappa coefficient=0.77,Overall Accuracy(OA)=0.84).Projected land cover changes revealed distinct transition patterns.Specifically,under the ED and EN scenarios,land cover changes will dominate by the expansion of urban area at the losses of grassland and crop land;under the EC scenario,the new forested land is primarily from crop land and grassland;and under the EDC scenario,urban area and forested land will achieve simultaneous expansion.Moreover,this study found the net vegetation carbon losses of 51.43×1010and 274.54×1010g C under the ED and EN scenarios,respectively,undermining carbon neutrality.In contrast,there will be a significant net carbon gain(64.52×1010g C)under the EC scenario.Crucially,the EDC scenario demonstrates a viable balance,minimizing vegetation carbon loss(7.00×1010g C)while substantially enhancing both socioeconomic benefit(1.34×1012CNY/a)and vegetation carbon sink benefit(0.15×1012CNY/a).This study underscores the critical role of optimized land cover planning in fostering synergistic economic growth and carbon neutrality.The findings provide actionable insights for the implementation of‘Dual Carbon’strategy in the GBA and serve as a valuable reference for sustainable land management in climate-vulnerable coastal megacities worldwide.
基金the achievements of the 2022“Quality Engineering”Project of Guangdong University of Science and Technology-“Translation Elite”Talent Cultivation Program(Project No.GKZLGC2022261).
摘要This study explores the integration of cross-cultural narrative competence(CCNC)in tourism translation teaching in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Using a qualitative research approach(primarily semi-structured interviews),this study selects four university English teachers,four translation students from different grades,and four tourism industry practitioners in the GBA as research participants to systematically examine the current status and integration pathways of CCNC in tourism translation teaching.The findings reveal that current tourism translation teaching remains dominated by linguistic skill training with an overemphasis on language equivalence,while CCNC has yet to be systematically incorporated into the curriculum.Respondents demonstrate insufficient cognitive clarity regarding CCNC but show high recognition of its value,widely acknowledging its core role in tourism translation.In authentic tourism contexts,translation transcends mere linguistic conversion and serves as a medium for cultural meaning construction and dissemination.Furthermore,students exhibit a notable deficiency in cultural expression ability alongside prominent practical needs,with a unanimous demand for practice-oriented and situational teaching.On this basis,this study put forward three feasible integration pathways of CCNC in tourism translation teaching,such as task-driven situational teaching,cultural reconstruction and expression training,and the integration of local cultural resources in the GBA.These teaching integration pathways for CCNC provide practical references for the innovation of tourism translation teaching in the GBA.
基金supported by the General Research Fund[grant numbers 15602619,15603920,14605920,and 14611621]the Collaborative Research Fund[grant numbers C5062-21GF and C4023-20GF]from the Hong Kong Research Grants Council+1 种基金the Research Institute for Land and Space of the Hong Kong Polytechnic University[grant number 1-CD81]the Research Committee on Research Sustainability of Major Research Grants Council Funding Schemes of the Chinese University of Hong Kong.
摘要Rapid morphological and socioeconomic changes have accelerated the urbanization process and urban land use transformation in China.Megacities comprise clusters of urban cities and exhibit both newly formed and well-developed urban land use development beyond administrative boundaries.It is necessary to distinguish the changing effects of spatial-varying driving factors on newly formed urban land uses from well-developed built-up areas in megacities.This study proposed a multi-spatial urbanization framework to quantify region-level socioeconomics,cluster-level ecological morphologies,and grid-level urban functional morphologies.A three-level Bayesian hierarchical model was developed to investigate the impacts of multi-spatial driving factors on urban land use transformation in megacities.The study period focused on the urbanization process between 2000 and 2018 in Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Results revealed that compared with well-developed urban built-up land,changing impacts of three-level driving factors in urban land use transformation could be captured based on the proposed Bayesian hierarchical model.The region-level total population was associated with increasing possibilities in forming new residential land than the well-developed ones in 35 districts/counties/cities in GBA.Cluster-level ecological attributes with higher proportion,lower edge density of urban built areas,and lower-degree ecological complexity showed increasing probability on newly formed industrial and public land.Grid-level urban functional factors including public transportation density and shopping/dining distribution exhibited significantly decreasing probability(coefficients:−2.12 to−0.51)on contributing newly formed land uses compared with the well-developed areas,whereas business/industry distribution represented higher(coefficients:0.99 and 0.15)and lower probabilities(coefficient:−0.22)of forming industrial/public land and residential land separately.This research shows a new attempt to distinguish multi-spatial morphological and socioeconomic effects in urban land use transformation in megacities.
基金Under the auspices of National Natural Science Foundation of China(No.41890854)Basic Research Program of Shenzhen Science and Technology Innovation Committee(No.JCYJ20180507182022554)+3 种基金National Key R&D Program of China(No.2017YFC0506200)National Natural Science Foundation of China(No.7181101150)National Natural Science Foundation of China(No.41901248)Shenzhen Future Industry Development Funding Program(No.201507211219247860)。
摘要China has experienced rapid urbanizations with dramatic land cover changes since 1978. Forest loss is one of land cover changes, and it induces various eco-environmental degradation issues. As one of China’s hotspot regions, the Guangdong-Hong KongMacao Greater Bay Area(GBA) has undergone a dramatic urban expansion. To better understand forest dynamics and protect forest ecosystem, revealing the processes, patterns and underlying drivers of forest loss is essential. This study focused on the spatiotemporal evolution and potential driving factors of forest loss in the GBA at regional and city level. The Landsat time-series images from 1987 to2017 were used to derive forest, and landscape metrics and geographic information system(GIS) were applied to implement further spatial analysis. The results showed that: 1) 14.86% of the total urban growth area of the GBA was obtained from the forest loss in1987–2017;meanwhile, the forest loss area of the GBA reached 4040.6 km2, of which 25.60%(1034.42 km2) was converted to urban land;2) the percentages of forest loss to urban land in Dongguan(19.14%), Guangzhou(18.35%) and Shenzhen(15.81%) were higher than those in other cities;3) the forest became increasingly fragmented from 1987–2007, and then the fragmentation decreased from2007 to 2017);4) the landscape responses to forest changes varied with the scale;and 5) some forest loss to urban regions moved from low-elevation and gentle-slope terrains to higher-elevation and steep-slope terrains over time, especially in Shenzhen and Hong Kong.Urbanization and industrialization greatly drove forest loss and fragmentation, and, notably, hillside urban land expansion may have contributed to hillside forest loss. The findings will help policy makers in maintaining the stability of forest ecosystems, and provide some new insights into forest management and conservation.
基金Under the auspices of National Natural Science Foundation of China(No.U21A2022,U1901219,42101369)National Key Research and Development Program of China(No.2023YFF0807204)。
摘要Wetlands offer important ecological functions and values.Wetland functional zoning provides a reference and basis for sustainable fulfilment and management.In this study,two coastal urban agglomerations in South China were taken as study areas,namely,the Guangxi Beibu Gulf(GBG)and Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Based on multisource information data,a wetland functional zoning system was constructed with the four levels of zoning concept,zoning principle,zoning basis,and zoning scheme.The functional zoning and dynamic analysis of wetlands from 1990 to 2020 were carried out from multiple perspectives of wetland ecological functions,wetland management and conservation functions.The results showed that:1)in terms of wetland ecological functions,the two coastal urban agglomerations were dominated by hydrological regulation and purification of environmental functional areas.The coastal region was largely characterized by the main functional areas of climate regulation and biodiversity maintenance.2)Regarding wetland management and conservation functions,two coastal urban agglomerations exhibited similar trends in terms of the sizes of their conservation and buffer zones from 1990 to 2020.Prevention and control zones were mainly located in core cities in a concentrated manner.Conservation zones largely comprised mountainous woodlands and important wetlands.3)The two coastal urban agglomerations could be divided into 21 wetland functional zones.The central river area has remained the main prevention and control zone for many years.Regarding conservation zones,ecological protection and restoration should be the main focus.Regarding buffer zones,the construction of wetlands and surrounding complex systems should be strengthened or enhanced.Regarding prevention and control zones,activities that do not affect wetland functions should be allowed,provided that they comply with existing laws and regulations.This study could provide technical support and practical application guidance for wetland regulation and management.
基金The National Natural Science Foundation of China (41901260, 42371320)。
摘要The Green Belt Areas in Beijing are the key areas for constructing the ecological security pattern of the plain area and restricting the unlimited expansion of cities,and they are also the regions with strong demand for improving the urban ecological environmental quality.In this study,the differences in perception of the demand for ecological environmental quality in Beijing’s Green Belt Areas were analyzed based on the results of a questionnaire survey.The analysis revealed four major points.(1)About half of the respondents were very satisfied with the ecological environmental quality of the Green Belt Areas.Overall,65.22%of respondents believed that the proportion of green ecological space in the Green Belt Areas has increased and the habitat connectivity has improved.Overall satisfaction with atmospheric quality was notably high,and forest expansion was identified as the primary factor contributing to its improvement.Most respondents demonstrated a clear understanding of biodiversity and showed moderate satisfaction.(2)The main ecosystem service demands for parks in the Green Belt Areas are primarily leisure and entertainment as well as natural experiences.In addition,urban parks should emphasize services such as leisure and entertainment,ecological environmental maintenance,sports and fitness,while country parks should highlight services such as ecological conservation,environmental purification,landscape recreation,and ecological environmental maintenance.(3)The factors contributing to the improvement of ecological environmental quality are generally believed to be in the order of environmental quality>ecosystem quality>biodiversity conservation.The contributions of park construction are mainly reflected in enhancing biodiversity(70.00%)and optimizing vegetation configuration structure and quality(65.65%).(4)Education level and income disparity are the main factors contributing to cognitive differences.In the future,efforts should be made to enhance public participation and strengthen popular science publicity,and to formulate differentiated ecosystem management and service supply strategies based on the public demand for ecological environmental quality.