Landscape and Urban Planning最新文献

{"title":"Characterization of multi-scale urban habitat wildness: Integration of the rewilding theory into novel urban ecosystem restoration and management","authors":"Ge Hong,&nbsp;Maodan Li,&nbsp;Siyi Liang,&nbsp;Xuefei Wu","doi":"10.1016/j.landurbplan.2025.105481","DOIUrl":"10.1016/j.landurbplan.2025.105481","url":null,"abstract":"<div><div>With the global extension of novel urban ecosystems (NUEs), it is urgent to significantly adjust the restoration and management strategies apart from the traditional focus on historical assemblages. Urban rewilding provides a transformative direction in this context. However, there is a lack of multi-scale rewilding performance indicators and decision-making tools for NUEs, particularly at the urban habitat scale. Here, we proposed a multi-scale wildness conceptual model that nests from the biotope (plant community) to habitat scale and integrates biotope wildness and evenness based on the self-organization theory, where biotope wildness is constructed with naturalness and integrity. Secondly, we conducted an empirical study on 144 biotopes from 12 core habitats in Wuhan by plant survey and soil sampling. With the universal eukaryotic primer pair NF1F/18Sr2bR and high-throughput sequencing, we identified the main soil eukaryotic groups and assessed the above- and below-ground biodiversity. Next, we employed the spontaneous plant richness and a soil multidiversity index to represent biotope naturalness and integrity, respectively. Finally, we used the random forest algorithm, generalized additive model, and piecewise linear regression to further reveal the determinants of biotope wildness and their thresholds. The selected metrics were proved as good proxies for biotope naturalness and integrity, respectively, and have different determinants. There are indeed thresholds of biotope wildness determinants, which are useful tools for NUE management and restoration. This study highlights the necessity of transformative shifts in urban habitat management and restoration practices and reintroduction of natural processes to enhance urban socio-ecological resilience.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"264 ","pages":"Article 105481"},"PeriodicalIF":9.2,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"A shift toward extensive utilization: The long-term relations between building volume and utilization intensity in China’s 267 natural cities","authors":"Kechao Wang ,&nbsp;Linlin Ruan ,&nbsp;Wu Xiao ,&nbsp;Runjia Yang ,&nbsp;Jiatong Zhou","doi":"10.1016/j.landurbplan.2025.105466","DOIUrl":"10.1016/j.landurbplan.2025.105466","url":null,"abstract":"<div><div>Urbanization is accelerating globally, with China’s urbanization rate increasing by 40 percentage points over the past four decades. However, the dynamic spatial coupling between building volume and utilization intensity during different urbanization stages remains unclear. This study proposes a novel method using multi-source long-term remote sensing data to characterize this coupling from both a fine-grained and city-level perspective from 1994 to 2021. By integrating high-resolution nighttime light data with building footprint data and building height data across China, we established the Lighted Building Index (LBI) to measure human activity relative to building volume. This allows us to further categorize cities into five distinct typologies and illustrating their dynamic interplay between development and coupling degrees. Spatially, findings reveal significant disparities in the coupling, particularly in urban centers where LBI values are lower than surroundings. Spatial differentiation along the urban–rural gradient further highlights complexities in urban utilization. Temporally, a notable transition from urban intensification to urban de-intensification over the past three decades is found, indicating a shift toward less efficient urban development. As economic growth occurs, the coupling between infrastructure investment and utilization intensity weakens, underscoring the urgent need for policy interventions. This study serves as a vital tool to promote sustainable urbanization.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"264 ","pages":"Article 105466"},"PeriodicalIF":9.2,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Generative artificial intelligence perspectives on typical landscape types: Can ChatGPT compete with human insight?","authors":"Jinxuan Liu,&nbsp;Tianci Zhang,&nbsp;Yongcan Ma,&nbsp;Tianxu Hu,&nbsp;Feng Lin,&nbsp;Huiyi Liang,&nbsp;Danchen Yang,&nbsp;Yinan Pan,&nbsp;Dongyang Gao,&nbsp;Ling Qiu,&nbsp;Tian Gao","doi":"10.1016/j.landurbplan.2025.105479","DOIUrl":"10.1016/j.landurbplan.2025.105479","url":null,"abstract":"<div><div>The emergence of ChatGPT, a prominent generative artificial intelligence (GAI), has raised concerns due to its increasing capability to rival or even surpass human performance across various tasks and domains. However, its alignment with human perception, particularly in emotional and aesthetic dimensions such as landscape preferences, remains uncertain. This study investigated the discrepancies between human and GPT-4 performance in landscape perception and preference, using the Kaplans’ preference matrix as a benchmark. Survey data were collected from 1,333 participants in China, and five typical landscapes i.e. gray, open green, partly open/closed green, closed green, and blue spaces were evaluated. To simulate human-like responses, artificial intelligence (AI) agents using ChatGPT were created with personal attributes mirroring those of the human sample. Results indicated that GPT-4 demonstrated significant divergences from human perception and preference in assessing landscape coherence, complexity, mystery, legibility, and overall preference. While GPT-4 performed comparably well in simpler environments, such as pure single-layer broadleaf forests on flat terrain, it struggled to capture key elements and emotions in more complex or nuanced urban landscapes. Notably, only 2.4 % of ChatGPT’s responses aligned with human perceptions and preferences. These findings highlighted the limitations of current AI in fully replicating human intelligence in landscape perception, emphasizing the continued necessity of human involvement in human-centered landscape design. This study offers insights into the current limitations of ChatGPT and suggests directions for enhancing its application in landscape design.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"264 ","pages":"Article 105479"},"PeriodicalIF":9.2,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Modeling species-specific migration to enhance climate connectivity under climate and anthropogenic stressors","authors":"Mingxi Shi ,&nbsp;Qiannan Xue ,&nbsp;Yingying Wang ,&nbsp;Xueqi Liu ,&nbsp;Lu Wang ,&nbsp;Hao Li","doi":"10.1016/j.landurbplan.2025.105468","DOIUrl":"10.1016/j.landurbplan.2025.105468","url":null,"abstract":"<div><div>Climate change and human disturbances are shifting species distribution ranges, intensifying the global biodiversity crisis. However, <em>meso</em>-scale assessments of climate connectivity and species migration pathways under compound climate and anthropogenic stressors remain limited. This study presents a comprehensive framework for assessing climate connectivity under such compound stressors, using the Beijing–Tianjin–Hebei (BTH) region of North China as a case study. By integrating climate and human exposure modeling with species-specific thermal tolerance, the framework quantifies spatial patterns of minimum cumulative exposure, climate velocity, and centrality under both climate-only and composite (climate − human) exposure scenarios. Results indicate that topographic heterogeneity is the primary driver of exposure cost variation. Projected migration pathways converge into belt-shaped key node areas that link the Bashang Plateau and North China Plain (source regions) with the Taihang Mountains (sink regions), highlighting priority areas for enhancing climate connectivity. Addressing dual stressors is crucial not only for maintaining functional connectivity but also for minimizing the risk of invasive species spread. Given divergent migration routes among species with varying thermal tolerances, conservation strategies must account for both temporary holdouts and long-term refugia along transboundary pathways at broader spatio-temporal scales. Incorporating additional species-specific traits—such as dispersal capacity and range limits—supports adaptive, trait-sensitive climate corridor design under climate change.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"264 ","pages":"Article 105468"},"PeriodicalIF":9.2,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144842238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Systematic overestimation of urban Parks’ cooling effects may mislead heat-governance-oriented park planning","authors":"Jun Yang ,&nbsp;Zhe Li ,&nbsp;Yuyu Zhou ,&nbsp;Xue Bai ,&nbsp;Jiaxing Xin ,&nbsp;Xuefeng Kang ,&nbsp;Gege Nie ,&nbsp;Yuqing Zhang ,&nbsp;Liang Zhou ,&nbsp;Xiangming Xiao ,&nbsp;Xueming Li","doi":"10.1016/j.landurbplan.2025.105467","DOIUrl":"10.1016/j.landurbplan.2025.105467","url":null,"abstract":"<div><div>Urban parks play a crucial role in mitigating the urban heat island effect, and their cooling effects have been widely studied. However, data resolution limitations hinder the accurate capture of micro-scale temperature variations, leading to assessment biases. This study analyzed 36 parks within Beijing’s Fourth Ring Road, employing a downscaling model based on Landsat 8 and Sentinel-2 imagery to generate high-resolution land surface temperature (LST) data. Using maximum and cumulative cooling indicators alongside an improved threshold value of efficiency (TVoE) method, we examined how enhanced data resolution influences park cooling assessment outcomes. Results indicated that low-resolution LST data fail to accurately capture the first turning point (FTP) of the cooling curve, leading to varying degrees of overestimation in park cooling effects depending on the cooling indicator and park size. Specifically, park cooling distance (PCD), area (PCA), and efficiency (PCE) were overestimated by factors of 2.35, 1.80, and 6.21, respectively, with smaller parks showing more pronounced biases. Conversely, park cooling intensity (PCI) remained stable across resolutions. This anomaly may obscure overestimation issues and lead to underestimation of the TVoE (with the PCI-based TVoE being significantly lower than that derived from PCD and PCA), thereby misleading the practical planning, hindering the precise implementation of heat governance policies, and weakening the effectiveness of urban heat risk management. Therefore, future research should prioritize verifying PCD accuracy refine both data resolution and methodology to improve the precision of park cooling assessments, thereby providing more scientifically grounded guidance for urban park planning aimed at heat governance.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"264 ","pages":"Article 105467"},"PeriodicalIF":9.2,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Dynamic exposure to urban lakefront spaces: Unveiling the role of social infrastructure in shaping visitation","authors":"Run Shi ,&nbsp;Xiangbin Peng ,&nbsp;Yuanzheng Cui ,&nbsp;Xuejun Duan ,&nbsp;Dong Xu ,&nbsp;Lei Wang ,&nbsp;Anthony Gar-On Yeh","doi":"10.1016/j.landurbplan.2025.105465","DOIUrl":"10.1016/j.landurbplan.2025.105465","url":null,"abstract":"<div><div>Access to blue spaces, such as lakes and waterfronts, operates at the nexus of physical and mental well-being, as well as the broader agendas of sustainable urbanization. Despite their importance, the patterns of dynamic exposure to urban lakefront spaces, i.e., areas surrounding lakes within cities, and the role of social infrastructure in influencing how urbanites encounter and visit lakefront spaces remain insufficiently explored. Drawing on the Pearl River Delta (PRD) in China as a site of rapid urban transformation, we use fine grained mobile phone data to chart and interpret the spatial and temporal patterns of lakefront exposure. A Light Gradient Boosting Machine (LightGBM) model, validated through 10-fold cross-validation (R²≈0.7), is employed to examine the effects of eight types of social infrastructure with split and gain importance. The results reveal a variegated landscape of exposure, with weekday and weekend visitations diverging across four distinct lakefront types: urban lifelines, weekend havens, quiet waters, and workday blues. These findings emphasize the role of mixed-use development, public transit, and compact urban form in equitable and vibrant blue-space development. By advancing an analytic framework that integrates human mobilities and urban lakefront spaces, this study enriches the understanding of blue space exposure and underscores the importance of purposefully designed social infrastructures in supporting leisure, physical activity, and social interactions.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"264 ","pages":"Article 105465"},"PeriodicalIF":9.2,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Generative AI text-to-image for community participation in landscape planning","authors":"Ishraq Awashra ,&nbsp;Aaron W. Thompson ,&nbsp;Kristin Floress ,&nbsp;J.Gordon Arbuckle ,&nbsp;Sarah P. Church ,&nbsp;Ken Genskow ,&nbsp;Linda S. Prokopy ,&nbsp;Yichao Rui ,&nbsp;Omar Tesdell","doi":"10.1016/j.landurbplan.2025.105464","DOIUrl":"10.1016/j.landurbplan.2025.105464","url":null,"abstract":"<div><div>Effective landscape planning relies on community insights through participatory design to achieve local needs. Visual media can assist community engagement, and visuals created using generative AI text-to-image models are increasingly adopted for such purposes. We explore a new approach of including generative images in participatory planning through a case study with the Diverse Corn Belt Project in the US Corn Belt. Our method is applicable to other contexts, and adds to the literature in three ways. First, we propose a compromise between real-time image generation and extended time workflows of translating participatory discussions into generative images, benefiting from the instant generation of generative models while controlling the output. Building on this proposed pace, we suggest creating what we call ‘controlled imperfect’ images as a balance between “fake perfects” and “conversational imperfects” suggested by the literature. In addition, we propose simplifying the process of translating participatory discussions into an image output through directly collecting keywords necessary for prompt engineering. We build on our case study to outline a revised method for future research.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"264 ","pages":"Article 105464"},"PeriodicalIF":9.2,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"When daylight fades: How nighttime, sociodemographics, and urban zones shape safety perceptions of the built environment","authors":"Pablo Navarrete-Hernandez, Yihan Dong, Erica Moresco","doi":"10.1016/j.landurbplan.2025.105460","DOIUrl":"https://doi.org/10.1016/j.landurbplan.2025.105460","url":null,"abstract":"Fear of crime restricts use of and access to public spaces, restricting people’s economic, educational and socialising opportunities, particularly for vulnerable populations. Although numerous studies and initiatives aim to create safer cities by transforming urban environments, few have measured the causal impact of daytime and nighttime on fear of crime. This study examines how perceptions of safety vary between day and night in the same locations, compares these effects with built environment transformations, and explores the influence of sociodemographic factors, emphasising the critical role of lighting in fostering safer cities. For this, we conduct an image-based randomised controlled trial to explore how perceived safety changes from daytime to nighttime along a 2-km stretch of road in Sheffield, UK, with various functional zones. The findings, based on 3209 image ratings from 160 participants, reveal that moving from day to nighttime decrease perceived safety by 28 %, an effect that is larger than all other environmental variations encountered in the studied area. While a nighttime decrease in perceived safety is consistent for all sociodemographics, significant disparities arise across gender and for those worried about crime at night. Conditions of site illumination affect safety perceptions only at night, while commercial districts are perceived as significantly safer at nighttime than other functional zones. While most studies concentrate on daytime fear of crime, this study highlights the need for nighttime environmental and lighting planning, as this is a time of day when all feel more vulnerable, and fear of crime disparities are at their highest levels.","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"19 1","pages":""},"PeriodicalIF":9.1,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144897993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Structural characteristics and community formation mechanisms in aquatic plant communities during the near-natural restoration of urban rivers","authors":"Yijia Li ,&nbsp;Ran Tao ,&nbsp;Jie Zhang ,&nbsp;Jiafei Zhang ,&nbsp;Xiaomeng Zhang ,&nbsp;Yunv Dai ,&nbsp;Yiping Tai ,&nbsp;Yang Yang ,&nbsp;Ming Li ,&nbsp;Qianhong Xuan ,&nbsp;Wenling Zhu ,&nbsp;Xinmin Zhou ,&nbsp;Zhiqiang Li","doi":"10.1016/j.landurbplan.2025.105461","DOIUrl":"10.1016/j.landurbplan.2025.105461","url":null,"abstract":"<div><div>The ecological restoration of urban rivers is essential for aquatic ecosystem management. Understanding the community formation mechanisms among aquatic plants is key to comprehend the structural and functional recovery of river ecosystems. Urban river restoration lacks systematic research on how near-natural methods shape aquatic plant communities. In this study, we aimed to elucidate the structural changes and key influencing factors of aquatic plant communities in rivers after implementing measures, including lowering water levels, retaining sludge, and supplying reclaimed water in Guangzhou. We also sought to explore the mechanisms underlying plant recovery and community formation. To achieve this, sampling, measurement, and analysis of aquatic plants and hydrological and water quality parameters were conducted in the Chebei, Liede, and Shahe Rivers from autumn 2020 to autumn 2023. The results showed that 126 aquatic plant species were recorded in the three rivers, belonging to 40 families and 86 genera, with <em>Poaceae</em> and <em>Cyperaceae</em> as the predominant families, and a consistent increase in coverage was observed over the four years. Partial correlation analysis revealed that depth was significantly negatively correlated with plant richness, coverage, and diversity. Plant community formation in the three rivers resulted from the combined effects of environmental heterogeneity, dispersal limitations, and species interactions. The randomness characteristics of plant communities gradually weaken as river habitat pressure increases, whereas deterministic characteristics gradually strengthen. The findings provide detailed data and a theoretical basis for understanding the response mechanisms of aquatic plant community restoration in urban rivers. They confirm that near-natural restoration measures can effectively improve the recovery potential of aquatic plants in rivers.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"263 ","pages":"Article 105461"},"PeriodicalIF":9.2,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Unveiling land competition through interaction networks: A consistency-based mining and simulation model that integrates inhibiting effects of land uses","authors":"Xun Liang ,&nbsp;Jun-Long Huang ,&nbsp;Qingfeng Guan","doi":"10.1016/j.landurbplan.2025.105458","DOIUrl":"10.1016/j.landurbplan.2025.105458","url":null,"abstract":"<div><div>Exploration of the competition among multiple land uses can reveal the fundamental mechanism of the evolution process of land system. However, quantification of the competition among land uses remains a challenge. Because most land use simulation studies do not consider the amplitude differences resulting from the influences of the spatial suitability map, neighborhood aggregation effect, and stochastic effect of multiple land uses, the driving and inhibiting effects among land uses have not yet been thoroughly discovered. To address this problem, we propose an interaction network discovery model via consistency-based simulation, called intPLUS (available for download at <span><span>https://github.com/HPSCIL/intPLUS</span><svg><path></path></svg></span>), to find the interaction relationships among land uses and to improve the projections of future land use changes. This model uses the logarithm transformation to embed weights into multiple effects, including the inter-land use inhibiting effects, which drive the evolution of land use. The correctly projected land use change (i.e., consistency) is analyzed with a random forest (RF) model to explore the weights of the driving and inhibiting effects between land uses. This model is applied to Wuhan, China. The results showed that ‘cultivated field’ was greatly restrained and was restrained by other land uses. The application of the interaction network obtained accuracy enhancements of 30% and 13% in the calibration and future allocation processes, respectively. This model takes full advantage of the consistency information of the process of spatial simulation; the interaction network among land uses derived by the proposed model provides an insightful means to advance our understanding of spatial competition.</div></div>","PeriodicalId":54744,"journal":{"name":"Landscape and Urban Planning","volume":"263 ","pages":"Article 105458"},"PeriodicalIF":9.2,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}