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学者姓名：胡喜生
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Road construction profoundly affects forest landscapes, but its impact on the coupling between forest resilience and fragmentation remains underexplored. Thus, we calculated kernel density estimation (KDE) as an indicator of road density and quantified spatiotemporal dynamics of forest resilience and fragmentation in China from 2010 to 2020. We further examined how road density influences the coupling between forest resilience and fragmentation. Results showed that: (1) Forest resilience increased nationally, and fragmentation declined in most regions. (2) Bivariate spatial autocorrelation between coupling dynamics and KDE revealed high-high clusters in the Yangtze and Pearl River Deltas, and low-low in Daxinganling and southwestern Tibet. (3) SHapley Additive exPlanations showed that high KDE contributed positively and low KDE contributed negatively to coupling dynamics; multiscale geographically weighted regression revealed stronger synergistic effects in the pan-south and weaker in the northeast. This study offers quantitative insights into sustainable road planning and supports ecological restoration strategies.
Keyword ：
eXtreme Gradient Boosting (XGBoost) eXtreme Gradient Boosting (XGBoost) Forest fragmentation Forest fragmentation Forest resilience Forest resilience Machine learning Machine learning (MGWR) (MGWR) Multiscale geographically weighted regression Multiscale geographically weighted regression Road density Road density
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| GB/T 7714 | Qiu, Weiguo , Liu, Miaomiao , Fu, Qingjie et al. Impact of road density on the coupling of forest resilience and fragmentation [J]. | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2026 , 150 . |
| MLA | Qiu, Weiguo et al. "Impact of road density on the coupling of forest resilience and fragmentation" . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT 150 (2026) . |
| APA | Qiu, Weiguo , Liu, Miaomiao , Fu, Qingjie , Wang, Zhanyong , Zhang, Lanyi , Jiang, Li et al. Impact of road density on the coupling of forest resilience and fragmentation . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2026 , 150 . |
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Balancing socio-economic development with ecological protection amid rapid urbanization is a pressing global issue. The ecological security pattern (ESP) follows the reciprocal relationship between pattern and function to conserve ecological processes, providing an effective approach to address this problem. However, most studies have adopted a single subjective assignment method for resistance factors, lacking the exploration of the impact of various assignment methods on the ESP. Taking the Fuzhou metropolitan area as a case, this study proposes different resistance assignment methods: favorable, moderate, and unfavorable. By applying circuit theory, it constructs the ESP and identifies critical areas for protection and restoration. The findings show that (1) as the cumulative resistance threshold increases, the area of ecological corridors expands from 171.36 km2 to 1439.24 km2, with the moderate method identified as the optimal resistance assignment approach; (2) significant differences exist in the identification of key corridors under different resistance assignment methods. The moderate method identifies 26 key corridors, spanning a total length of 41.29 km; (3) the key ecological protection areas cover 2469.79 km2, including 13 patches and 26 pinch points, while the key ecological restoration areas cover 14.55 km2, including 7 barriers and 21 breaking points. By pinpointing key ecological areas and proposing targeted strategies, this study can facilitate practical ecological protection efforts, thereby achieving the sustainable development goal of minimizing economic costs while maximizing ecological benefits.
Keyword ：
circuit theory circuit theory ecological security pattern ecological security pattern key ecological protection areas key ecological protection areas key ecological restoration areas key ecological restoration areas resistance assignment methods resistance assignment methods
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| GB/T 7714 | Jia, Dingyi , Qiu, Weiguo , Guo, Rongpeng et al. Prioritizing Protection and Restoration Areas Based on Ecological Security Pattern with Different Resistance Assignments [J]. | LAND , 2025 , 14 (2) . |
| MLA | Jia, Dingyi et al. "Prioritizing Protection and Restoration Areas Based on Ecological Security Pattern with Different Resistance Assignments" . | LAND 14 . 2 (2025) . |
| APA | Jia, Dingyi , Qiu, Weiguo , Guo, Rongpeng , Wu, Min , Wang, Zhanyong , Hu, Xisheng . Prioritizing Protection and Restoration Areas Based on Ecological Security Pattern with Different Resistance Assignments . | LAND , 2025 , 14 (2) . |
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The conservation and restoration of forests are a crucial component of climate mitigation strategies in many countries. However, the scientific selection of priority areas for forest conservation and restoration remains a challenge. Based on the landscape indices, the forest landscape structural connectivity index was constructed based on principal component analysis; the forest landscape functional connectivity index was constructed based on the minimum cumulative resistance model. Geodetector was employed to identify the driving forces of forest landscape structural and functional connectivity in the Fujian Delta region. The patch-generating land use simulation model was then used to simulate land use changes under different shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs) scenarios from 2030 to 2050. The optimal scenario of forest development was then selected based on the forest landscape structural and functional connectivity. Finally, graph theory was used to identify priority forest conservation and restoration areas under optimal scenarios. The results indicate the following: (1) elevation (q = 0.34, P < 0.01) and nighttime light (q = 0.33, P <0.01) are the primary drivers of structural connectivity in forested landscapes, while nighttime light (q = 0.38, P < 0.01) and gross domestic product (q = 0.28, P < 0.01) are the primary drivers of functional connectivity in forested landscapes. The joint effect of elevation and nighttime lighting (q = 0.44, P < 0.01) enhances the explanatory power of structural connectivity in forested landscapes. The joint effect of nighttime lighting and gross domestic product (q = 0.46, P < 0.01) enhances the explanatory power of functional connectivity in forested landscapes. (2) Overall, between 2020 and 2050, forest landscape structural and functional connectivity tends to increase in the SSP1-2.6 scenario and decrease in the SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios. Based on the structural and functional connectivity of the forest landscape, the optimal scenario for future development was identified as SSP1-RCP2.6. (3) The areas of forests prioritized for conservation in 2030, 2040, and 2050 are 12,470.18 km(2), 12,470.18 km(2), and 12,227.67 km(2), respectively. The areas of forests prioritized for restoration are 51.80 km(2), 103.14 km(2), and 390.86 km(2), respectively. This study identified priority forest conservation and restoration areas under SSPs-RCPs scenarios using graph theory, offering valuable insights into biodiversity conservation and the identification of locations for forest conservation and restoration planning.
Keyword ：
Forest restoration Forest restoration Fujian delta region Fujian delta region Landscape connectivity Landscape connectivity SSPs-RCPs scenarios SSPs-RCPs scenarios
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| GB/T 7714 | Liu, Miaomiao , Liu, Shuang , Tang, Raohan et al. Identification of forest priority conservation and restoration areas for different SSPs-RCPs scenarios [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2025 , 375 . |
| MLA | Liu, Miaomiao et al. "Identification of forest priority conservation and restoration areas for different SSPs-RCPs scenarios" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 375 (2025) . |
| APA | Liu, Miaomiao , Liu, Shuang , Tang, Raohan , Liu, Minggao , Hu, Xisheng , Lin, Sen et al. Identification of forest priority conservation and restoration areas for different SSPs-RCPs scenarios . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2025 , 375 . |
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PM2.5 and O3 are major pollutants affecting air quality and posing serious health risks in China. While many studies focus on their control at urban and regional scales, their co-regulation at the street level—closely tied to traffic emissions and commuting patterns—remains unexplored. This study addressed the gap by using nonlinear statistical methods to analyze the spatiotemporal evolution of PM2.5 and O3 from street-scale mobile measurements in Fuzhou, China. A random forest (RF) model was applied to elucidate factors influencing PM2.5-O3 synchronicity. Key findings revealed that street-scale variations in PM2.5 and O3 exhibited multifractality and long-term persistence. Co-directional changes between PM2.5 and O3 peaked at noon, compared to traffic peak hours and midnight. An 800 m threshold was identified for analyzing PM2.5-O3 synchronicity—below this spatial scale, local factors weaken their concordance, while beyond it, the concordance strengthened. RF models showed that PM2.5 was primarily influenced by precursor substances in winter and meteorological conditions in summer, while O3 was consistently affected by meteorological conditions across both seasons. Road traffic and construction disrupted the co-directional changes of PM2.5 and O3, whereas high humidity partially mitigated high concentrations of both pollutants but enhanced their synchronicity. © 2025
Keyword ：
Air quality Air quality Decision trees Decision trees Health risks Health risks
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| GB/T 7714 | Lin, Xinyuan , Dong, Yangbin , Teng, Zuying et al. Spatiotemporal correlations of PM2.5 and O3 variations: A street-scale perspective on synergistic regulation [J]. | Science of the Total Environment , 2025 , 965 . |
| MLA | Lin, Xinyuan et al. "Spatiotemporal correlations of PM2.5 and O3 variations: A street-scale perspective on synergistic regulation" . | Science of the Total Environment 965 (2025) . |
| APA | Lin, Xinyuan , Dong, Yangbin , Teng, Zuying , Meng, Zhaocai , Zhang, Fuwang , Hu, Xisheng et al. Spatiotemporal correlations of PM2.5 and O3 variations: A street-scale perspective on synergistic regulation . | Science of the Total Environment , 2025 , 965 . |
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随着道路交通碳排放量的不断攀升，全球温室效应不断加剧。近年来，在工业、能源等领域，结合因素分解模型与碳排放预测模型的双模型方法已显示出其在揭示碳排放关键驱动因素和探明碳达峰路径方面的优势，但在道路交通领域的应用尚显不足。本研究利用多尺度排放清单模型获取2001年至2019年中国道路交通碳排放数据，并采用GDIM方法对影响碳排放的驱动因素（包括GDP、道路交通能源消耗量、单位能耗碳排放量、人口总量、道路交通人均碳排放量、人均GDP、单位GDP能耗和道路交通碳排放强度）进行分解。其次，设计五种逐层递进的情景，以评估不同政策组合下的减排潜力；最后，运用LEAP模型对2021—2035年中国道路交通的碳达峰情况进行情景仿真和预测。结果显示：（1）在各驱动因素中，GDP是影响交通碳排放的最主要因素，而人均GDP是抑制碳排放的关键；（2）在各情景模拟中，中经济发展强效低碳情景（SLSC）和中经济发展强化低碳情景（ELSC）展现出最佳的减排效果，预计在2024年均能实现碳达峰，其峰值碳排放量分别为1399.9Mt和1402.69Mt；在所有车型中，商用车碳排放将于2020年的744Mt增长至2035年的约800—1300Mt，相较于其他车型，其碳减排潜力巨大；（3）尽管摩托车的碳排放量在三种车型中最低，但其排放量呈上升趋势。摩托车在单独实行“摩改电”措施后无法实现碳达峰，需要未来进一步的管控措施配合其他政策同步实施才能实现碳达峰。本研究所提出的模型及方法在交通运输碳减排中具有较好的参考价值。
Keyword ：
情景分析 情景分析 碳达峰 碳达峰 道路交通 道路交通 长期能源替代规划系统(LEAP)模型 长期能源替代规划系统(LEAP)模型 驱动因素分解 驱动因素分解
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| GB/T 7714 | 王硕 , 徐艺诺 , 翁大维 et al. 中国道路交通碳排放驱动因素及达峰分析 [J]. | 生态学报 , 2025 , (03) . |
| MLA | 王硕 et al. "中国道路交通碳排放驱动因素及达峰分析" . | 生态学报 03 (2025) . |
| APA | 王硕 , 徐艺诺 , 翁大维 , 张煌帆 , 温晓娟 , 胡喜生 et al. 中国道路交通碳排放驱动因素及达峰分析 . | 生态学报 , 2025 , (03) . |
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With the rapid global expansion of e-commerce and the increasing number of online shoppers, logistics service providers (LSPs) are exploring sustainable solutions to meet the rising demand. Thanks to developments in automation and robotic technologies, LSPs have now the opportunity to enhance their operations through the deployment of autonomous delivery solutions like drones and delivery robots. This paper investigates a practical delivery system to integrate these emerging technologies simultaneously into conventional van-only delivery system. Additionally, the effects of various assistant characteristics on operations are examined through broader assumptions. We introduce a mathematical model aiming to minimize delivery makespan and explore various valid inequalities to mitigate its complexity. A new hybrid metaheuristic algorithm combining genetic algorithm and large neighborhood search algorithm is also proposed for large scale instances. A three-layer coding and encoding method is also introduced for genetic algorithm to manage the complex structure of the problem. Finally, extensive numerical experiments are conducted to show the effectiveness of valid inequalities and the algorithm. The sensitivity analyses provide comparisons of various delivery configurations and offer valuable insights for the logistics industry to integrate these innovative delivery solutions into their daily operations. In our experiments, using a single drone reduces total delivery times by up to 23.57%, while a single robot contributes to a 37.19% improvement in the objective. The heterogeneous configuration offers a substantial 49.71% improvement compared to using only vans for deliveries.
Keyword ：
Delivery robot Delivery robot Drone Drone Genetic algorithm Genetic algorithm Hybrid metaheuristic Hybrid metaheuristic Last mile logistics Last mile logistics Vehicle routing problem Vehicle routing problem
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| GB/T 7714 | Chen, Cheng , Demir, Emrah , Hu, Xisheng et al. Transforming last mile delivery with heterogeneous assistants: drones and delivery robots [J]. | JOURNAL OF HEURISTICS , 2025 , 31 (1) . |
| MLA | Chen, Cheng et al. "Transforming last mile delivery with heterogeneous assistants: drones and delivery robots" . | JOURNAL OF HEURISTICS 31 . 1 (2025) . |
| APA | Chen, Cheng , Demir, Emrah , Hu, Xisheng , Huang, Hainan . Transforming last mile delivery with heterogeneous assistants: drones and delivery robots . | JOURNAL OF HEURISTICS , 2025 , 31 (1) . |
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The growing demand for urban passenger transportation, driven by economic growth and urbanization, has led to substantial emissions of CO2 and other pollutants. Although significant attention has been given to CO2 reduction, the simultaneous emission of pollutants from similar sources and the benefits of their reduction emissions strategies, both in terms of emissions and economic outcomes, remain underexplored. To address the above concerns, this study has developed an urban passenger transportation emissions system dynamics (UPTE-SD) model, to analyze the economic benefits, emission trends, and synergistic effects of CO2 and pollutant reduction under different scenarios. The results show that: (1) Economic Benefits: CO2 reduction is the primary driver of economic benefits. Among single scenarios, the Transportation structure optimization policy (TSO) scenario performs best, yielding total economic benefits of 9.11 billion RMB. In combined scenarios, the TSO + technological progress policy (TP), promotion of new energy vehicle policy (PNEV) + TSO + TP, and PNEV + TSO + road green space priority development policy (RPD) + TP (composite scenario) exhibit the highest economic benefits, reaching 13.62 billion RMB, 17.04 billion RMB, and 18.44 billion RMB, respectively; (2) CO2 and Pollutant Reduction: For CO2 reduction, TSO is most effective in single scenarios (23.89 %), followed by TSO + TP (36.33 %), PNEV+TSO + TP (41.56 %), and PNEV+TSO + RPD + TP (44.45 %) in combined scenarios. For pollutant reduction, PNEV performs best in single scenarios (29.67 %), followed by PNEV+TSO (38.49 %), PNEV+TSO + RPD (46.38 %), and PNEV+TSO + RPD + TP (49.29 %) in combined scenarios; (3) Synergistic Emission Reduction: In terms of synergistic emission reduction, the best-performing scenarios are RPD in single scenarios, RPD + TP, PNEV+TSO + TP, and PNEV+TSO + RPD + TP in combined scenarios among the recent years. The corresponding synergistic reduction coefficients are as follows: RPD (1.05), RPD + TP (0.99), PNEV+TSO + TP (0.97), and PNEV+TSO + RPD + TP (1.13).
Keyword ：
Carbon emission peak Carbon emission peak China China Collaborative emission reduction Collaborative emission reduction System dynamics System dynamics Urban passenger transportation Urban passenger transportation
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| GB/T 7714 | Weng, Dawei , Zhang, Huangfan , Wen, Xiaojuan et al. Co-benefits of carbon and pollutant emission reduction in urban transport: Sustainable pathways and economic efficiency [J]. | URBAN CLIMATE , 2025 , 60 . |
| MLA | Weng, Dawei et al. "Co-benefits of carbon and pollutant emission reduction in urban transport: Sustainable pathways and economic efficiency" . | URBAN CLIMATE 60 (2025) . |
| APA | Weng, Dawei , Zhang, Huangfan , Wen, Xiaojuan , Hu, Xisheng , Zhang, Lanyi . Co-benefits of carbon and pollutant emission reduction in urban transport: Sustainable pathways and economic efficiency . | URBAN CLIMATE , 2025 , 60 . |
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Sprawling road networks cutting through forested areas continue to be a potent catalyst of deforestation in tropical regions. Yet, pantropical assessments limited by the lack of high-resolution global maps of tropical forest loss induced by road networks. Here, we harnessed the road dataset from the Global Roads Inventory Project and the forest loss dataset from Global Forest Change, to produce global tropical high-resolution maps of road impact index spanning 2001 to 2020. We find that the forest area within a 1-km distance from roads accounts for about one-sixth, but its proportion of forest loss is nearly one-third, the road impact index is 2.45 times higher than those beyond the zone. The road impact index of all countries shows a decreasing trend with the distance from roads and increasing from 2001 to 2020. Our findings emphasize the urgent need for globalized efforts to protect the intact forests and rehabilitate degraded forests along roadside.
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| GB/T 7714 | Zheng, Xincheng , Chen, Jin , Zou, Zeyao et al. Sprawling roads enhanced tropical forest loss during the period 2001-2020 [J]. | COMMUNICATIONS EARTH & ENVIRONMENT , 2025 , 6 (1) . |
| MLA | Zheng, Xincheng et al. "Sprawling roads enhanced tropical forest loss during the period 2001-2020" . | COMMUNICATIONS EARTH & ENVIRONMENT 6 . 1 (2025) . |
| APA | Zheng, Xincheng , Chen, Jin , Zou, Zeyao , Zhen, Shiyong , Liu, Shuang , Li, Jiazheng et al. Sprawling roads enhanced tropical forest loss during the period 2001-2020 . | COMMUNICATIONS EARTH & ENVIRONMENT , 2025 , 6 (1) . |
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The expansion of road networks profoundly affects ecological systems by intensifying habitat fragmentation, altering hydrological processes, and exacerbating pollution. However, our understanding of the multi-scale spatiotemporal coupling between road networks and ecological quality remains limited. Thus, taking Fuzhou City in Southeastern China as a case study (similar to 12,000 km(2)), we apply bivariate spatial autocorrelation, geographical detectors (GDs), and multi-scale geographically weighted regression (MGWR) to explore the multi-scale interactions between road networks and ecological quality. Results reveal the following: (1) From 2016 to 2021, kernel density estimation (KDE) analysis of the road network indicates coordinated growth in both urban and rural areas, with an increase of 0.759 km/km(2). Analysis based on the remote sensing-based ecological index (RSEI) shows a decrease from 2000 to 2016, and then an increase from 2016 to 2021, with a trend of increasing gradually from urban center to rural area. (2) Predominant tradeoff relationships exist between KDE and RSEI in 2016 and 2021, while notable synergistic relationships emerge between Delta KDE and Delta RSEI. (3) Multi-scale GD analysis identifies Delta KDE as a principal factor influencing Delta RSEI, and the MGWR reveals their significant synergistic associations at an optimal scale of 3000 m. These findings highlight the unequal impact of road network expansion on ecological quality, underscoring the pivotal role of road density changes in its spatiotemporal dynamics. They offer essential insights for sustainable transport and ecological planning.
Keyword ：
bivariate spatial autocorrelation bivariate spatial autocorrelation geographical detectors (GDs) geographical detectors (GDs) multi-scale geographically weighted regression (MGWR) multi-scale geographically weighted regression (MGWR) remote sensing-based ecological index (RSEI) remote sensing-based ecological index (RSEI) road network road network
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| GB/T 7714 | Qiu, Weiguo , Jia, Dingyi , Guo, Rongpeng et al. Unequal Impact of Road Expansion on Regional Ecological Quality [J]. | LAND , 2025 , 14 (3) . |
| MLA | Qiu, Weiguo et al. "Unequal Impact of Road Expansion on Regional Ecological Quality" . | LAND 14 . 3 (2025) . |
| APA | Qiu, Weiguo , Jia, Dingyi , Guo, Rongpeng , Zhang, Lanyi , Wang, Zhanyong , Hu, Xisheng . Unequal Impact of Road Expansion on Regional Ecological Quality . | LAND , 2025 , 14 (3) . |
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This study addresses the gap in understanding carbon emissions from transportation across intraprovincial cities in Fujian Province, China's first ecological civilization pilot province. This research employs a top-down approach to estimate transportation carbon emissions in Fujian Province, complemented by Standard Deviation Ellipse (SDE) and Logarithmic Mean Divisia Index (LMDI) methods to analyze spatiotemporal variations and driving factors of emissions. We also incorporate a Multi-Region (M-R) decomposition model to assess the impact of economic, demographic, and land-use factors on emissions. The results reveal significant disparities among prefecture-level cities. The economic factor, land use structure, and population growth were identified as the main drivers of transportation carbon emissions, while land use output showed a significant mitigating effect, highlighting the role of improving land-use efficiency in reducing emissions. Coastal cities showed stronger emission-driving effects compared to inland areas. The findings offer targeted insights for low-carbon transportation planning and differentiated policymaking among cities.
Keyword ：
Carbon emissions Carbon emissions China China LMDI decomposition model LMDI decomposition model Standard Deviation Ellipse Standard Deviation Ellipse Top-down method Top-down method
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| GB/T 7714 | Zhang, Lanyi , Weng, Dawei , Wen, Xiaojuan et al. Unveiling intra-provincial cities carbon gap: Exploring transportation emissions in ecological Vanguard [J]. | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2025 , 144 . |
| MLA | Zhang, Lanyi et al. "Unveiling intra-provincial cities carbon gap: Exploring transportation emissions in ecological Vanguard" . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT 144 (2025) . |
| APA | Zhang, Lanyi , Weng, Dawei , Wen, Xiaojuan , Xu, Yinuo , Pan, Guiping , Zhang, Huangfan et al. Unveiling intra-provincial cities carbon gap: Exploring transportation emissions in ecological Vanguard . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2025 , 144 . |
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