Landscape and Urban Planning最新文献_第9页

Characterization of multi-scale urban habitat wildness: Integration of the rewilding theory into novel urban ecosystem restoration and management 多尺度城市生境野化特征：将野化理论融入新型城市生态系统恢复与管理

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-20 DOI: 10.1016/j.landurbplan.2025.105481

Ge Hong, Maodan Li, Siyi Liang, Xuefei Wu

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.

随着新型城市生态系统在全球范围内的扩展，迫切需要在传统的关注历史建筑群的基础上，对其修复和管理策略进行重大调整。在这种背景下，城市野化提供了一个变革的方向。然而，缺乏多尺度的野生动物回归绩效指标和决策工具，特别是在城市栖息地尺度上。在此基础上，基于自组织理论，提出了从生物群落（植物群落）到生境尺度的多尺度野生度概念模型，将生物群落的野生度和均匀度相结合，以自然度和完整性构建生物群落的野生度。其次，通过植物调查和土壤采样对武汉市12个核心生境144个生物群落进行了实证研究。利用通用真核引物对NF1F/18Sr2bR和高通量测序，鉴定了土壤真核生物的主要类群，并评估了地上和地下的生物多样性。接下来，我们分别用植物自然丰富度和土壤多样性指数来表示生物群落的自然度和完整性。最后，我们采用随机森林算法、广义加性模型和分段线性回归进一步揭示了生物群落野生度的决定因素及其阈值。结果表明，所选择的指标分别可以很好地代表生物群落的自然度和完整性，并且具有不同的决定因素。确实存在生物群落野生性决定因素的阈值，这是NUE管理和恢复的有用工具。该研究强调了城市栖息地管理和恢复实践的转型转变以及重新引入自然过程以增强城市社会生态弹性的必要性。

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引用次数: 0

A shift toward extensive utilization: The long-term relations between building volume and utilization intensity in China’s 267 natural cities 向粗放型利用的转变：中国267座自然城市建筑体量与利用强度的长期关系

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-18 DOI: 10.1016/j.landurbplan.2025.105466

Kechao Wang , Linlin Ruan , Wu Xiao , Runjia Yang , Jiatong Zhou

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.

全球城镇化进程加快，中国城镇化率在过去40年里提高了40个百分点。然而，不同城市化阶段建筑体量与利用强度之间的动态空间耦合关系尚不清楚。本研究提出了一种新的方法，利用多源长期遥感数据从1994年至2021年的细粒度和城市层面来表征这种耦合。通过整合高分辨率夜间照明数据、建筑足迹数据和建筑高度数据，我们建立了照明建筑指数（LBI），以衡量与建筑体积相关的人类活动。这使我们能够进一步将城市分为五种不同的类型，并说明它们在发展和耦合度之间的动态相互作用。在空间上，研究结果揭示了耦合的显著差异，特别是在城市中心，LBI值低于周围环境。城乡梯度的空间分异进一步凸显了城市利用的复杂性。从时间上看，在过去三十年中，从城市集约化到城市去集约化发生了显著的转变，表明城市发展向效率较低的方向转变。随着经济增长，基础设施投资与利用强度之间的耦合减弱，强调了政策干预的迫切需要。本研究是促进可持续城市化的重要工具。

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引用次数: 0

Generative artificial intelligence perspectives on typical landscape types: Can ChatGPT compete with human insight? 典型景观类型的生成式人工智能视角：ChatGPT能与人类的洞察力竞争吗？

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-18 DOI: 10.1016/j.landurbplan.2025.105479

Jinxuan Liu, Tianci Zhang, Yongcan Ma, Tianxu Hu, Feng Lin, Huiyi Liang, Danchen Yang, Yinan Pan, Dongyang Gao, Ling Qiu, Tian Gao

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.

ChatGPT是一种杰出的生成式人工智能（GAI），它的出现引起了人们的关注，因为它在各种任务和领域的能力越来越强，甚至超过了人类的表现。然而，它与人类感知的一致性，特别是在情感和美学方面，如景观偏好，仍然不确定。本研究以Kaplans偏好矩阵为基准，研究了人类和GPT-4在景观感知和偏好方面的差异。通过对中国1333名参与者的调查数据，对灰色、开放绿地、部分开放/封闭绿地、封闭绿地和蓝色空间五种典型景观进行了评价。为了模拟类似人类的反应，使用ChatGPT的人工智能（AI）代理被创建，其个人属性反映了人类样本的个人属性。结果表明，GPT-4在评估景观一致性、复杂性、神秘性、易读性和整体偏好方面与人类的感知和偏好存在显著差异。虽然GPT-4在简单的环境中表现得相当好，比如平坦地形上的纯单层阔叶森林，但它在捕捉更复杂或微妙的城市景观中的关键元素和情感方面却很困难。值得注意的是，只有2.4%的ChatGPT回答与人类的感知和偏好一致。这些发现突出了当前人工智能在景观感知中完全复制人类智能的局限性，强调了人类参与以人为本的景观设计的持续必要性。本研究揭示了ChatGPT目前的局限性，并提出了加强其在景观设计中的应用的方向。

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引用次数: 0

Modeling species-specific migration to enhance climate connectivity under climate and anthropogenic stressors 模拟物种特异性迁移以增强气候和人为压力下的气候连通性

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-15 DOI: 10.1016/j.landurbplan.2025.105468

Mingxi Shi , Qiannan Xue , Yingying Wang , Xueqi Liu , Lu Wang , Hao Li

Climate change and human disturbances are shifting species distribution ranges, intensifying the global biodiversity crisis. However, meso-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.

气候变化和人为干扰正在改变物种分布范围，加剧全球生物多样性危机。然而，在复合气候和人为压力下，气候连通性和物种迁移途径的中尺度评估仍然有限。本文以中国北方的京津冀地区为例，提出了一个综合的气候连通性评估框架。通过将气候和人类暴露模拟与物种特异性热耐受性相结合，该框架量化了气候单一和气候-人类复合暴露情景下的最小累积暴露、气候速度和中心性的空间格局。结果表明，地形异质性是暴露成本变化的主要驱动因素。预测的移民路径汇聚成连接坝上高原和华北平原（源区）与太行山（汇区）的带状关键节点区，突出了加强气候连通性的优先区域。解决双重压力源不仅对维持功能连通性至关重要，而且对减少入侵物种传播的风险也至关重要。鉴于具有不同热耐受性的物种之间的迁徙路线不同，保护策略必须在更广泛的时空尺度上考虑跨界路径上的临时滞留和长期避难。结合其他物种特有的特征，如扩散能力和范围限制，支持气候变化下适应性、特征敏感的气候走廊设计。

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引用次数: 0

Systematic overestimation of urban Parks’ cooling effects may mislead heat-governance-oriented park planning 系统地高估城市公园的降温效果可能会误导以热治理为导向的公园规划

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-14 DOI: 10.1016/j.landurbplan.2025.105467

Jun Yang , Zhe Li , Yuyu Zhou , Xue Bai , Jiaxing Xin , Xuefeng Kang , Gege Nie , Yuqing Zhang , Liang Zhou , Xiangming Xiao , Xueming Li

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.

城市公园在缓解城市热岛效应中起着至关重要的作用，其降温效应得到了广泛的研究。然而，数据分辨率的限制阻碍了对微尺度温度变化的准确捕获，导致评估偏差。本研究分析了北京四环内的36个公园，采用基于Landsat 8和Sentinel-2图像的降尺度模型生成高分辨率地表温度（LST）数据。使用最大和累积冷却指标以及改进的效率阈值（TVoE）方法，我们研究了增强的数据分辨率如何影响公园冷却评估结果。结果表明，低分辨率地表温度数据不能准确捕捉降温曲线的第一拐点（FTP），导致不同降温指标和公园规模对公园降温效果有不同程度的高估。其中，公园冷却距离（PCD）、面积（PCA）和效率（PCE）分别被高估了2.35、1.80和6.21倍，且公园规模越小，偏差越明显。相反，公园冷却强度（PCI）在不同分辨率下保持稳定。这种异常可能会掩盖高估的问题，导致对TVoE的低估（基于pci的TVoE明显低于PCD和PCA的TVoE），从而误导实际规划，阻碍热治理政策的精确实施，削弱城市热风险管理的有效性。因此，未来的研究应优先验证PCD的准确性，完善数据分辨率和方法，以提高公园降温评估的精度，从而为以热治理为目标的城市公园规划提供更科学的指导。

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引用次数: 0

Dynamic exposure to urban lakefront spaces: Unveiling the role of social infrastructure in shaping visitation 城市湖滨空间的动态暴露：揭示社会基础设施在塑造游客中的作用

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-11 DOI: 10.1016/j.landurbplan.2025.105465

Run Shi , Xiangbin Peng , Yuanzheng Cui , Xuejun Duan , Dong Xu , Lei Wang , Anthony Gar-On Yeh

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.

进入蓝色空间，如湖泊和海滨，是身心健康的纽带，也是可持续城市化的更广泛议程。尽管它们很重要，但城市湖滨空间（即城市内湖泊周围地区）的动态暴露模式，以及社会基础设施在影响城市居民如何接触和访问湖滨空间方面的作用，仍未得到充分探索。以中国的珠江三角洲作为快速城市转型的地点，我们使用细粒度的移动电话数据来绘制和解释湖滨暴露的时空格局。采用10倍交叉验证（R2≈0.7）的光梯度增强机（Light Gradient Boosting Machine, LightGBM）模型，考察了8种具有分裂和增益重要性的社会基础设施的影响。研究结果揭示了一个多样化的景观，工作日和周末的游客分布在四种不同的湖滨类型：城市生命线、周末避风港、安静的水域和工作日的忧郁。这些发现强调了混合用途开发、公共交通和紧凑的城市形式在公平和充满活力的蓝色空间开发中的作用。通过提出一个整合人类流动性和城市湖滨空间的分析框架，本研究丰富了对蓝色空间暴露的理解，并强调了有目的设计的社会基础设施在支持休闲、体育活动和社会互动方面的重要性。

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引用次数: 0

Generative AI text-to-image for community participation in landscape planning 生成式人工智能文本到图像的社区参与景观规划

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-10 DOI: 10.1016/j.landurbplan.2025.105464

Ishraq Awashra , Aaron W. Thompson , Kristin Floress , J.Gordon Arbuckle , Sarah P. Church , Ken Genskow , Linda S. Prokopy , Yichao Rui , Omar Tesdell

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.

有效的景观规划依赖于通过参与式设计来满足当地需求的社区见解。视觉媒体可以帮助社区参与，使用生成式人工智能文本到图像模型创建的视觉效果越来越多地被用于这一目的。我们通过对美国玉米带多样化玉米带项目的案例研究，探索了一种将生成图像纳入参与式规划的新方法。我们的方法适用于其他情况，并以三种方式补充文献。首先，我们提出了实时图像生成和将参与性讨论转化为生成图像的扩展时间工作流之间的折衷方案，在控制输出的同时受益于生成模型的即时生成。在此基础上，我们建议创建所谓的“控制不完美”图像，作为文献中建议的“虚假完美”和“会话不完美”之间的平衡。此外，我们建议通过直接收集提示工程所需的关键词，简化将参与性讨论转化为图像输出的过程。我们在案例研究的基础上概述了未来研究的修订方法。

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引用次数: 0

When daylight fades: How nighttime, sociodemographics, and urban zones shape safety perceptions of the built environment 当日光褪去：夜间、社会人口统计和城市区域如何塑造建筑环境的安全观念

IF 9.1 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-09 DOI: 10.1016/j.landurbplan.2025.105460

Pablo Navarrete-Hernandez, Yihan Dong, Erica Moresco

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.

对犯罪的恐惧限制了对公共空间的使用和进入，限制了人们，特别是弱势群体的经济、教育和社交机会。尽管许多研究和倡议旨在通过改变城市环境来创造更安全的城市，但很少有人衡量白天和夜间对犯罪恐惧的因果影响。本研究考察了在同一地点，人们对安全的看法在白天和黑夜之间是如何变化的，将这些影响与建筑环境的转变进行了比较，并探讨了社会人口因素的影响，强调了照明在促进城市安全方面的关键作用。为此，我们进行了一项基于图像的随机对照试验，以探索在英国谢菲尔德2公里长的道路上，不同功能区从白天到夜间的感知安全变化。根据160名参与者的3209张图片评分，研究结果显示，从白天到晚上，安全感降低了28%，这一影响比研究地区遇到的所有其他环境变化都要大。虽然夜间安全感的下降在所有社会人口统计中都是一致的，但在性别和担心夜间犯罪的人群中出现了显著差异。场地照明条件仅在夜间影响安全感知，而商业区在夜间被认为比其他功能区明显更安全。虽然大多数研究都集中在白天对犯罪的恐惧上，但这项研究强调了夜间环境和照明规划的必要性，因为这是一天中所有人都感到更脆弱的时候，对犯罪的恐惧也达到了最高水平。

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引用次数: 0

Structural characteristics and community formation mechanisms in aquatic plant communities during the near-natural restoration of urban rivers 城市河流近自然恢复过程中水生植物群落结构特征及群落形成机制

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-05 DOI: 10.1016/j.landurbplan.2025.105461

Yijia Li , Ran Tao , Jie Zhang , Jiafei Zhang , Xiaomeng Zhang , Yunv Dai , Yiping Tai , Yang Yang , Ming Li , Qianhong Xuan , Wenling Zhu , Xinmin Zhou , Zhiqiang Li

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 Poaceae and Cyperaceae 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.

城市河流的生态恢复是水生态系统管理的重要内容。了解水生植物群落形成机制是理解河流生态系统结构和功能恢复的关键。城市河流修复缺乏对接近自然的方法如何塑造水生植物群落的系统研究。本研究旨在探讨广州市实施降低水位、截留污泥和中水供应等措施后河流水生植物群落结构变化及其关键影响因素。我们还试图探索植物恢复和群落形成的机制。为此，研究人员于2020年秋季至2023年秋季对车北、烈德和沙河三河流域的水生植物和水文水质参数进行了采样、测量和分析。结果表明：3条河流共记录到水生植物126种，隶属于40科86属，以禾科和苏科为优势科，植被覆盖度在4年内呈持续增加趋势；偏相关分析显示，深度与植物丰富度、盖度和多样性呈显著负相关。三江植物群落的形成是环境异质性、扩散限制和物种相互作用共同作用的结果。随着河流生境压力的增加，植物群落的随机性特征逐渐减弱，确定性特征逐渐增强。研究结果为理解城市河流水生植物群落恢复的响应机制提供了详实的数据和理论基础。证实了近自然恢复措施能有效提高河流水生植物的恢复潜力。

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引用次数: 0

Unveiling land competition through interaction networks: A consistency-based mining and simulation model that integrates inhibiting effects of land uses 通过相互作用网络揭示土地竞争：一个基于一致性的挖掘和模拟模型，整合了土地利用的抑制效应

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2025-08-05 DOI: 10.1016/j.landurbplan.2025.105458

Xun Liang , Jun-Long Huang , Qingfeng Guan

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 https://github.com/HPSCIL/intPLUS), 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.

探索多种土地利用之间的竞争关系，可以揭示土地系统演化过程的根本机制。然而，量化土地用途之间的竞争仍然是一个挑战。由于大多数土地利用模拟研究未考虑空间适宜性图、邻域聚集效应、多土地利用随机效应等影响下的幅值差异，土地利用间的驱动和抑制作用尚未得到充分的研究。为了解决这个问题，我们提出了一个基于一致性模拟的交互网络发现模型，称为intPLUS（可在https://github.com/HPSCIL/intPLUS下载），以发现土地利用之间的交互关系，并改进对未来土地利用变化的预测。该模型利用对数变换将权重嵌入到多种影响中，包括土地利用间抑制效应，这些效应驱动土地利用演变。利用随机森林（RF）模型对正确预测的土地利用变化（即一致性）进行分析，探讨土地利用之间驱动和抑制效应的权重。该模型应用于中国武汉。结果表明，“耕地”受到较大的限制，并受到其他土地利用的限制。交互网络的应用在校准和未来分配过程中分别获得了30%和13%的精度提高。该模型充分利用了空间仿真过程的一致性信息；由该模型推导出的土地利用之间的相互作用网络为我们理解空间竞争提供了一种有见地的方法。

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引用次数: 0