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学者姓名：余坤勇
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Abstract ：
Accurately determining the age of Moso bamboo and establishing a reasonable age structure for bamboo forests are essential prerequisites for the scientific management and productivity maximization of Moso bamboo forests. Visible light images offer the advantages of low acquisition cost and abundant information. These images reveal significant phenotypic differences in Moso bamboo of varying ages, allowing for the use of such images in age determination. However, the phenotypic recognition of Moso bamboo is often influenced by environmental conditions, leading to variations in image brightness and high similarity in the features of Moso bamboo across different age groups, thereby reducing age determination accuracy. This study analyzes the phenotypic characteristics of Moso bamboo at different ages and their susceptibility to brightness variations, proposing a novel age determination method using visible light images. The YOLO target detection model and the Segment Anything Model (SAM) are employed to extract Moso bamboo regions from images. Phenotypic features under abnormal brightness are corrected using four image enhancement techniques. Subsequently, various age models, constructed using different backbone networks and loss functions, are compared and analyzed to identify the optimal combination for Moso bamboo age determination. The best image enhancement method and model were selected to discriminate the age of Moso bamboo. The results show that brightness significantly affects the phenotypic characteristics of Moso bamboo in the images. In this study, adaptive histogram equalization was used to enhance the images, and an age determination model was built using ResNet-101 with Focal Loss and Label Smoothing Regularization (LSR). The accuracy of age determination for Moso bamboo reached 88.6 %, representing a 10.5 % improvement over the baseline model's accuracy of 78.1 %.
Keyword ：
Age determination of Moso bamboo Age determination of Moso bamboo Automatic recognition Automatic recognition Deep learning Deep learning Image enhancement Image enhancement Visible light image Visible light image
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| GB/T 7714 | Yu, Zhihui , Song, Hanyue , Zhang, Yangyang et al. Visible light image-based methods for age determination in Moso bamboo [J]. | COMPUTERS AND ELECTRONICS IN AGRICULTURE , 2026 , 240 . |
| MLA | Yu, Zhihui et al. "Visible light image-based methods for age determination in Moso bamboo" . | COMPUTERS AND ELECTRONICS IN AGRICULTURE 240 (2026) . |
| APA | Yu, Zhihui , Song, Hanyue , Zhang, Yangyang , Wang, Lun , Huang, Xiang , Li, Mingxin et al. Visible light image-based methods for age determination in Moso bamboo . | COMPUTERS AND ELECTRONICS IN AGRICULTURE , 2026 , 240 . |
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本发明提出一种基于可见光图像的毛竹年龄判别方法，基于毛竹的可见光图像构建数据集；通过训练获得的毛竹目标检测模型进行目标检测，以提取出图像中的毛竹区域；再通过图像分割模型对所提取的图像进行细致分割，得到可见光图像中的毛竹竹杆，建立用于毛竹年龄判别模型构建的数据集；进一步预处理后，通过训练获得的毛竹年龄判别模型进行毛竹年龄判别。
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| GB/T 7714 | 余志辉 , 余坤勇 , 刘健 . 一种基于可见光图像的毛竹年龄判别方法 : CN202411874824.1[P]. | 2024-12-19 . |
| MLA | 余志辉 et al. "一种基于可见光图像的毛竹年龄判别方法" : CN202411874824.1. | 2024-12-19 . |
| APA | 余志辉 , 余坤勇 , 刘健 . 一种基于可见光图像的毛竹年龄判别方法 : CN202411874824.1. | 2024-12-19 . |
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Unmanned aerial vehicle light detection and ranging (UAV-LiDAR) is a new method for collecting understory terrain data. The high estimation accuracy of understory terrain is crucial for accurate tree height measurement and forest resource surveys. The UAV-LiDAR flight altitude and forest canopy cover significantly impact the accuracy of understory terrain estimation. However, since no research examined their combined effects, we aimed to investigate this relationship. This will help optimize UAV-LiDAR flight parameters for understory terrain estimation and forest surveys across various canopy cover. This study analyzed the impacts of three flight altitudes and three canopy cover on the estimation accuracy of understory terrain. The results showed that when canopy cover exceeded a specific value, UAV-LiDAR flight altitudes significantly affected understory terrain estimation. Given a forest canopy cover, the reduction in ground point coverage increased significantly as the flight altitude increased; given a flight altitude, the higher the canopy cover, the more significant the reduction in ground point coverage. In forests with a canopy cover >= 0.9, there were substantial differences in the accuracies of understory digital elevation models (DEMs) generated using UAV-LiDAR at different flight altitudes. For forests with a canopy cover <0.9, the mean absolute error (MAE) of understory DEMs from UAV-LiDAR at different flight altitudes was <= 0.17 m and the root mean square error (RMSE) was <= 0.24 m. However, for forests with a canopy cover >= 0.9, the UAV-LiDAR flight altitude significantly affected the accuracy of understory DEMs. At the same flight altitude, the MAE and RMSE of the estimated elevation for forests with a canopy cover >= 0.9 were approximately twice those of the estimated elevation for forests with a canopy cover <0.9. In forests with low canopy cover, it is possible to improve data collection efficiency by selecting a higher flight altitude. However, UAV-LiDAR flight altitudes significantly affected understory terrain estimation in forests with high canopy cover, it is essential to adopt terrain-following flight modes, reduce flight altitudes, and maintain a consistent flight altitude during long-term monitoring in high canopy cover forests.
Keyword ：
DEM DEM Flight altitude Flight altitude Forest canopy cover Forest canopy cover UAV-LiDAR UAV-LiDAR Understory terrain estimation Understory terrain estimation
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| GB/T 7714 | Hu, Zhongyang , Wang, Lun , Chen, Xiangyu et al. Impacts of UAV-LiDAR flight altitude and forest canopy on the estimation accuracy of understory terrain [J]. | JOURNAL OF MOUNTAIN SCIENCE , 2025 , 22 (7) : 2485-2496 . |
| MLA | Hu, Zhongyang et al. "Impacts of UAV-LiDAR flight altitude and forest canopy on the estimation accuracy of understory terrain" . | JOURNAL OF MOUNTAIN SCIENCE 22 . 7 (2025) : 2485-2496 . |
| APA | Hu, Zhongyang , Wang, Lun , Chen, Xiangyu , Yu, Kunyong , Liu, Jian . Impacts of UAV-LiDAR flight altitude and forest canopy on the estimation accuracy of understory terrain . | JOURNAL OF MOUNTAIN SCIENCE , 2025 , 22 (7) , 2485-2496 . |
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随着全球气候变化和城市化进程的加速，城市微气候调节已成为城市规划和公共政策的重要议题。本研究在福建农林大学选定试验区域，通过无人机和地面实测方法数据收集，利用广义相加模型(GAM),研究城市绿色空间二维(树木、草地、水体、不透水面)、三维景观结构对城市空气温度(Ta)和地表温度(Ts)的影响，以及在不同空间尺度(半径10、20、30、40、50 m,高度0～3、3～6、6 m以上)和不同时间尺度(08:00—22:00,2 h一次)的阈值效应，为福州及类似气候条件城市的冬季温度调节提供指导。结果表明：1)Ta与Ts在中午12:00、14:00波动最明显，但各下垫面的Ts变化幅度较小。2)在10～50 m的多数分析尺度上，中午城市Ta与Ts随着树木覆盖面积占比、草地面积占比以及三维绿量增加而降低，随着不透水面占比的增加而升高。3)对所有研究尺度，树木覆盖面积占比最佳值在25%～57%,草地面积占比最佳值在14%～38%,并且应尽可能降低不透水面占比。4)对于所有尺度树木需要控制0～6 m尤其是0～3 m内的三维绿量，以调节温度。在不同景观结构下，Ta与Ts变化趋势表现出显著的一致性，可以参考本研究中的相关阈值进行公共空间和绿化设计。
Keyword ：
城市温度 城市温度 多源数据 多源数据 景观结构 景观结构 绿色空间 绿色空间
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| GB/T 7714 | 赵秋月 , 苏巧婧 , 姬悦娇 et al. 福州市绿色空间景观结构对冬季城市温度的影响 [J]. | 西北林学院学报 , 2025 , 40 (05) : 267-278,289 . |
| MLA | 赵秋月 et al. "福州市绿色空间景观结构对冬季城市温度的影响" . | 西北林学院学报 40 . 05 (2025) : 267-278,289 . |
| APA | 赵秋月 , 苏巧婧 , 姬悦娇 , 王伦 , 陕亮 , 余坤勇 et al. 福州市绿色空间景观结构对冬季城市温度的影响 . | 西北林学院学报 , 2025 , 40 (05) , 267-278,289 . |
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The analysis of visibility in urban parks is an essential component of landscape spatial analysis, and it holds significant importance for human well-being, health, and the transition to sustainable urban development. LiDAR point clouds offer highly detailed and accurate depictions of the urban park environment, and the calculation of visual volume can effectively quantify the visual perception indicators of urban parks. However, current methods often overlook the sparsity of ground point clouds, leading to inaccuracies in visual volume calculations. In light of this, we propose a theory of "boundary-ground-air" integration based on the "point cloud-ray-polyhedron" method to characterize the three-dimensional visibility of urban parks. The visual volume is divided into two major parts: ground and sky. Our method optimizes the calculation of visual volume for the ground part by supplementing missing point clouds based on ground continuity to enhance the accuracy of visual volume calculations. The method involves 5 key steps: identifying the boundary between ground points and non-ground points, voxelization of point clouds, calculation of aerial visual volume, calculation of ground visual volume, and volume index calculation. This method not only enables the calculation of three-dimensional visual space at any viewpoint in different locations within the landscape but also addresses the issue of accuracy deviation in visual volume calculations caused by the sparsity of ground point clouds. Using Chating Park in Fuzhou, China as a case study, the results demonstrate that our proposed method can accurately simulate the visibility measurement of urban parks at a resolution of 1m x 1m. This research achievement can provide technical support for landscape architecture planning and smart city development.
Keyword ：
3D visibility 3D visibility City park City park Lidar point cloud Lidar point cloud Point cloud voxelization Point cloud voxelization Visible volume index Visible volume index
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| GB/T 7714 | Cheng, Huishan , Rui, Quanquan , Yu, Kunyong et al. 3D visibility analysis of urban parks using LIDAR for enhanced accuracy [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2025 , 389 . |
| MLA | Cheng, Huishan et al. "3D visibility analysis of urban parks using LIDAR for enhanced accuracy" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 389 (2025) . |
| APA | Cheng, Huishan , Rui, Quanquan , Yu, Kunyong , Shan, Liang , Chen, Yu , Ding, Guochang et al. 3D visibility analysis of urban parks using LIDAR for enhanced accuracy . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2025 , 389 . |
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As the main carbon reservoir of terrestrial ecosystems, small changes in forest ecosystems can lead to the destabilization of carbon stock, affecting the global carbon cycle and the climate, thus triggering ecological risks. Scientific assessment of forest carbon stock ecological risk and optimization of the security pattern of forest ecosystem carbon stock is an urgent need for scientific ecological environmental protection. In order to accurately assess forest carbon stock ecological risk, this study analyzes multiple sources of risk, synthesizes landscape patterns and ecological processes, and constructs a three-dimensional framework of the ecological adaptive cycle of "potential - connectedness - resilience" to assess forest carbon stock ecological risk. The ecological risk of forest carbon stocks in 2000, 2010 and 2020 was partitioned into two regions in collaboration with carbon stocks and ecological risk, which facilitated targeted regulation. The research results indicate that from 2000 to 2020, the forest carbon stock in the Minjiang River Basin showed a trend of initial increase followed by a decrease, with a reduction of 18.25 x 106 t over the 20-year period, The spatial evolution of high-risk areas for forest carbon stock ecological risk mainly extended from the central region to the southwest, with risk transfer primarily occurring between adjacent ecological risk levels. Forest carbon stock ecological risk is negatively correlated with carbon stock overall, with the spatial distribution characterized by a pattern of high carbon stock-low ecological risk and low carbon stock-high ecological risk clustering. The ecological risk assessment of forest carbon stocks is of great significance in enhancing regional carbon sink capacity, promoting rational land utilization and green low-carbon development.
Keyword ：
Adaptive cycle Adaptive cycle Carbon stock Carbon stock Forest carbon stock ecological risk Forest carbon stock ecological risk Forest ecosystems Forest ecosystems Minjiang River Basin Minjiang River Basin
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| GB/T 7714 | Ji, Yuejiao , Li, Mingxin , Zhao, Qiuyue et al. Forest carbon stock ecological risk assessment in Minjiang River basin based on the adaptive cycle model [J]. | ECOLOGICAL INDICATORS , 2025 , 176 . |
| MLA | Ji, Yuejiao et al. "Forest carbon stock ecological risk assessment in Minjiang River basin based on the adaptive cycle model" . | ECOLOGICAL INDICATORS 176 (2025) . |
| APA | Ji, Yuejiao , Li, Mingxin , Zhao, Qiuyue , Geng, Jianwei , Liu, Jian , Yu, Kunyong . Forest carbon stock ecological risk assessment in Minjiang River basin based on the adaptive cycle model . | ECOLOGICAL INDICATORS , 2025 , 176 . |
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Several studies have proposed strategies to alleviate the urban heat island (UHI) amidst the challenges of global warming and rapid urbanization. Though, few have explored multi-network synergies of heat and cold islands and simulation of their effectiveness. This study constructed an urban thermal environment (UTE) network by 2D and 3D urban structural parameters from a perspective of connectivity. Cooling measures are proposed to mitigate the UHI by combining forward and reverse thinking. The thermal environment is simulated using the patch-generating land use simulation (PLUS) model to assess the effectiveness of the cooling network. Firstly, morphological spatial pattern analysis (MSPA) and connectivity analysis are used to identify urban cold and heat island sources. Then, thermal resistance is constructed by 2D and 3D structural parameters. A multi-level thermal environment network is generated through the minimum cumulative resistance (MCR) model and circuit theory. Subsequently, key nodes within this network are identified. Finally, the PLUS model simulates and compares the thermal environment before and after the implemented of cooling network. Taking Fuzhou City as an instance, we find that: (1) 43 cold island sources, 28 heat island sources, 196 cooling corridors, 64 heat island corridors, and 711 thermal environment spatial network pinch-points are identified. (2) The PLUS model demonstrates an overall accuracy of 78% in simulating the 2023 thermal environment, affirming the feasibility of UTE simulation. (3) After optimization, the growth rate of the low-temperature zone increased by 60.63% while the growth rate of the high-temperature zone decreased by 8.63%, indicating the effectiveness of the proposed multi-level cooling network in mitigating the UHI. The approach presented in this research provides new insights for sustainable urban development and climate adaptation planning, and is crucial for addressing the UHI.
Keyword ：
Connectivity Connectivity Cooling network Cooling network Effectiveness simulation Effectiveness simulation Forward and reverse thinking Forward and reverse thinking Urban heat island Urban heat island
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| GB/T 7714 | Zhao, Qiuyue , Tao, Ling , Song, Hanyue et al. Mitigation pathways of urban heat islands and simulation of their effectiveness from a perspective of connectivity [J]. | SUSTAINABLE CITIES AND SOCIETY , 2025 , 124 . |
| MLA | Zhao, Qiuyue et al. "Mitigation pathways of urban heat islands and simulation of their effectiveness from a perspective of connectivity" . | SUSTAINABLE CITIES AND SOCIETY 124 (2025) . |
| APA | Zhao, Qiuyue , Tao, Ling , Song, Hanyue , Lin, Yuhang , Ji, Yuejiao , Geng, Jianwei et al. Mitigation pathways of urban heat islands and simulation of their effectiveness from a perspective of connectivity . | SUSTAINABLE CITIES AND SOCIETY , 2025 , 124 . |
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Aim The Pilot Area for Subtropical Ecological Civilization in Southern China has made significant strides in ecological conservation through ecological projects and forest rights reform. This study assesses FVC dynamics to evaluate the relative impacts of climate change and human activities on vegetation restoration, aiming to inform optimised management strategies. Location Fujian Province, China. Time Period 2000-2023.Major Taxa StudiesFractional vegetation cover (FVC). Methods We utilised the pixel dichotomy method to derive FVC from MODIS13A2 data (2000-2023) within the Google Earth Engine platform. To evaluate the impacts of climate change and human activities on vegetation restoration, we applied slope trend analysis in conjunction with the Mann-Kendall mutation test. Results (1) From 2000 to 2023, Vegetation Restoration in Fujian Province exhibited pronounced spatial heterogeneity. Approximately 72.65% of the region exhibited an increasing trend in FVC, with over 80% of the study area maintaining moderate to high levels of vegetation cover. In contrast, the southeastern coastal areas showed slower gains. (2) Approximately 69.55% of the changes in vegetation cover were attributed to the combined influence of human activities and climate change, with human activities contributing more significantly to vegetation restoration than climate change (67.88% vs. 64.14%). (3) Within the 40%-100% contribution range, the proportion of areas where human activities predominantly influenced changes in FVC was higher than that influenced by climate change (69.89% vs. 51.12%). (4) Although the total area of forests, shrublands and grasslands in Fujian Province declined during this period, the overall increase in FVC underscores the effectiveness of ecological restoration programs such as the Grain for Green Initiative. These findings indicate that even under substantial human disturbances, well-targeted and effectively implemented ecological policies can act as key drivers of vegetation recovery. Main Conclusions This study highlights that even under intense human disturbance, well-targeted and robust ecological policies remain the primary driving force behind vegetation recovery in subtropical ecological civilisation pilot zones. It underscores the importance of integrating climate adaptation strategies with human interventions to achieve effective ecological management, offering valuable insights and replicable pathways for vegetation restoration in other ecologically sensitive regions.
Keyword ：
driving factors driving factors effectiveness of revegetation effectiveness of revegetation FVC FVC trend analysis trend analysis
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| GB/T 7714 | Song, Hanyue , Zhao, Qiuyue , Lin, Jiqing et al. Analysis of Changes in Fractional Vegetation Cover (FVC) and the Impacts of Various Drivers in Subtropical Ecological Civilization Areas of Southern China [J]. | JOURNAL OF BIOGEOGRAPHY , 2025 , 52 (9) . |
| MLA | Song, Hanyue et al. "Analysis of Changes in Fractional Vegetation Cover (FVC) and the Impacts of Various Drivers in Subtropical Ecological Civilization Areas of Southern China" . | JOURNAL OF BIOGEOGRAPHY 52 . 9 (2025) . |
| APA | Song, Hanyue , Zhao, Qiuyue , Lin, Jiqing , Yu, Kunyong , Liu, Jian . Analysis of Changes in Fractional Vegetation Cover (FVC) and the Impacts of Various Drivers in Subtropical Ecological Civilization Areas of Southern China . | JOURNAL OF BIOGEOGRAPHY , 2025 , 52 (9) . |
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Soil respiration (SR) is a vital indicator of soil quality. With global warming and soil fertility degradation, understanding the evolution of fertilization and SR along with their response to climate change is crucial. This study used specially formulated fertilizers (N : P : K 17 : 8 : 5) in Phyllostachys edulis plantations in Yongan city, Southern China, to explore changes in SR and its temperature sensitivity (Q(10)) under five different fertilization (0, 15, 30, 50, and 75 kg ha(-1)) covering all seasons. Within a certain range of fertilizer application, both SR and Q(10) increased. However, when fertilizer application exceeded a threshold, both SR and Q(10) decreased instead. At the seasonal scale, both SR and Q(10) exhibited a seasonal pattern, with higher values during summer and lower values during winter. Furthermore, SR in spring consistently higher than that in fall. The primary driving factors of SR varied among the seasons, with soil temperature being the dominant factor in spring, while C/N was predominant during summer, fall, and winter. However, soil pH was the primary driving factor of Q(10) in all seasons. These findings provide valuable insights for optimizing sustainable forest management practices to improve soil health.
Keyword ：
Ferralsol Ferralsol fertilization fertilization Q(10) Q(10)
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| GB/T 7714 | Yang, Qian , Qiu, Pingwei , Huang, Xiang et al. Seasonal Variations and Driving Factors of Soil Respiration and Its Temperature Sensitivity to Fertilizer Addition in Phyllostachys edulis Plantations of Southern China [J]. | EURASIAN SOIL SCIENCE , 2025 , 58 (2) . |
| MLA | Yang, Qian et al. "Seasonal Variations and Driving Factors of Soil Respiration and Its Temperature Sensitivity to Fertilizer Addition in Phyllostachys edulis Plantations of Southern China" . | EURASIAN SOIL SCIENCE 58 . 2 (2025) . |
| APA | Yang, Qian , Qiu, Pingwei , Huang, Xiang , Ji, Yuejiao , Shan, Liang , Chen, Yu et al. Seasonal Variations and Driving Factors of Soil Respiration and Its Temperature Sensitivity to Fertilizer Addition in Phyllostachys edulis Plantations of Southern China . | EURASIAN SOIL SCIENCE , 2025 , 58 (2) . |
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Coastal areas face challenges in updating and enhancing the quality of coastal shelterbelt forests due to limited soil resource utilization, the biological characteristics of tree species, and the impact of coastal storm surges. This study, based on clarifying the connotation of stand quality (SQ) for Casuarina equisetifolia (C. equisetifolia), a typical coastal shelterbelt species, integrates stand growth conditions and structure, applying the AHP-EWM method to construct an SQ evaluation model. The model identifies key factors influencing the quality of C. equisetifolia stands and explores the mechanisms driving their growth processes. The results indicate that mean tree height, mean diameter at breast height, and stand density are key indicators for assessing the SQ of C. equisetifolia stands. The SQ of C. equisetifolia coastal shelterbelt stands varies across different land-sea positions, mainly influenced by stand age and soil nutrient levels. As stand age increases, the SQ initially improves and then declines. Additionally, C. equisetifolia trees growing in nutrient-rich soils exhibit better growth and higher SQ than those in poor soils. The findings of this study provide a theoretical foundation for the management and quality enhancement of coastal shelterbelt forests.
Keyword ：
Analytic Hierarchy Process- Entropy Weight Method (AHP-EWM) Analytic Hierarchy Process- Entropy Weight Method (AHP-EWM) Casuarina equisetifolia Casuarina equisetifolia Coastal shelterbelt Coastal shelterbelt Forest management Forest management Forest stand quality Forest stand quality Stand quality Stand quality
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| GB/T 7714 | Chen, Yu , Cao, Zuning , Wang, Lun et al. Evaluation of the stand quality of Casuarina equisetifolia in coastal shelterbelts [J]. | JOURNAL OF MOUNTAIN SCIENCE , 2025 , 22 (5) : 1557-1570 . |
| MLA | Chen, Yu et al. "Evaluation of the stand quality of Casuarina equisetifolia in coastal shelterbelts" . | JOURNAL OF MOUNTAIN SCIENCE 22 . 5 (2025) : 1557-1570 . |
| APA | Chen, Yu , Cao, Zuning , Wang, Lun , Shan, Liang , Yu, Shuhan , Yang, Wufa et al. Evaluation of the stand quality of Casuarina equisetifolia in coastal shelterbelts . | JOURNAL OF MOUNTAIN SCIENCE , 2025 , 22 (5) , 1557-1570 . |
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