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学者姓名：郭福涛
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Abstract ：
Forest fire risk mapping is an essential measure for forest fire management. Quickly and precisely assessing forest fire risks, rationally planning fire risk zones, and scientifically allocating firefighting resources are of great significance for mitigating the increasingly severe threat of forest fires. This study utilized the random forest (RF) algorithm and the Fuzzy Analytic Network Process (FANP) to conduct a forest fire risk-zoning study in the protection and development belt of Wuyishan National Park. The findings revealed that some areas in the western and southern parts of this region have relatively high fire risk levels. Particularly, forest fire prevention and control in the western area need to be strengthened to prevent potential hazards to Wuyishan National Park. The accuracy of the FANP model was as high as 88.5%; areas with fire risk levels of grade 3 and above could control 98.44% of forest fires, and the proportion of areas with fire risk levels of grade 4 and above was 33.41%, which could control 65.63% of forest fires. This finding indicates that the FANP has preferable applicability in small-scale forest fire risk zoning and can offer more reliable decision-making support and reference basis for regional forest fire management.
Keyword ：
forest fire risk zoning forest fire risk zoning fuzzy analytic network process fuzzy analytic network process random forest random forest small-scale area small-scale area
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| GB/T 7714 | Chen, Dai , Zeng, Aicong , He, Yan et al. Study on Small-Scale Forest Fire Risk Zoning Based on Random Forest and the Fuzzy Analytic Network Process [J]. | FORESTS , 2025 , 16 (1) . |
| MLA | Chen, Dai et al. "Study on Small-Scale Forest Fire Risk Zoning Based on Random Forest and the Fuzzy Analytic Network Process" . | FORESTS 16 . 1 (2025) . |
| APA | Chen, Dai , Zeng, Aicong , He, Yan , Ouyang, Yiyun , Li, Chunhui , Tigabu, Mulualem et al. Study on Small-Scale Forest Fire Risk Zoning Based on Random Forest and the Fuzzy Analytic Network Process . | FORESTS , 2025 , 16 (1) . |
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Land use and land cover change (LULCC) is crucial in sustainable land management. Over the past four decades, the Min River Basin (MRB) has experienced significant LULCC. This study investigated the dynamics of LULCC over these decades (1980-2020) and discusses the key drivers of land use change in different stages. First, we mapped and quantified changes (i.e., LULCC and landscape indices) in forests, croplands, urban areas, and water bodies from 1980 to 2020 using the China National Land Use/Cover Change (CNLUCC) and ArcGIS Pro 2.3. Second, by analyzing existing policies, we categorized four decades of LULCC trends from 1980 to 2020, delineating three distinct stages: (1) the Economic Restoration (ER) stage (1978-1989), when the ecological impacts of LULCC on forests, croplands, and water bodies received limited policy attention; (2) the Construction of Ecological Protection and Economic Development (EPED) stage (1989-2012), which saw a significant increase in forest coverage, primarily driven by various central and provincial environmental conservation policies, such as the Green for Grain and the "Three-Five-Seven Reforestation Project" in Fujian; and (3) the Ecological Civilization (EC) stage (2012-2020), in which policy focus shifted from expanding forest land areas to enhancing the quality of these areas. However, the cropland area has decreased due to urbanization policies and population migration from rural to urban areas, including the above-mentioned forest policies. Thus, this study highlights the complex relationship between different land use land cover policies, as some policies had synergistic effects between the policies and positive outcomes, while other policies showed conflicting outcomes. Our results emphasize the importance of integrated land and water resource management and provide insights for policymakers to balance development and environmental conservation policies in the MRB.
Keyword ：
environmental dynamics environmental dynamics Fujian China Fujian China LULCC LULCC Min River Basin Min River Basin policy impact policy impact socio-economic socio-economic
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| GB/T 7714 | Huang, Weixuan , Shrestha, Anil , Xie, Yifan et al. Assessing Four Decades of Land Use and Land Cover Change: Policy Impacts and Environmental Dynamics in the Min River Basin, Fujian, China [J]. | LAND , 2025 , 14 (1) . |
| MLA | Huang, Weixuan et al. "Assessing Four Decades of Land Use and Land Cover Change: Policy Impacts and Environmental Dynamics in the Min River Basin, Fujian, China" . | LAND 14 . 1 (2025) . |
| APA | Huang, Weixuan , Shrestha, Anil , Xie, Yifan , Yan, Jianwu , Wang, Jingxin , Guo, Futao et al. Assessing Four Decades of Land Use and Land Cover Change: Policy Impacts and Environmental Dynamics in the Min River Basin, Fujian, China . | LAND , 2025 , 14 (1) . |
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The increasing frequency of extreme weather events raises the likelihood of forest wildfires. Therefore, establishing an effective fire prediction model is vital for protecting human life and property, and the environment. This study aims to build a prediction model to understand the spatial characteristics and piecewise effects of forest fire drivers. Using monthly grid data from 2006 to 2020, a modeling study analyzed fire occurrences during the September to April fire season in Fujian Province, China. We compared the fitting performance of the logistic regression model (LRM), the generalized additive logistic model (GALM), and the spatial generalized additive logistic model (SGALM). The results indicate that SGALMs had the best fitting results and the highest prediction accuracy. Meteorological factors significantly impacted forest fires in Fujian Province. Areas with high fire incidence were mainly concentrated in the northwest and southeast. SGALMs improved the fitting effect of fire prediction models by considering spatial effects and the flexible fitting ability of nonlinear interpretation. This model provides piecewise interpretations of forest wildfire occurrences, which can be valuable for relevant departments and will assist forest managers in refining prevention measures based on temporal and spatial differences.
Keyword ：
Forest fire prediction Forest fire prediction Logistic regression Logistic regression Piecewise effects Piecewise effects Spatial generalized additive model Spatial generalized additive model Spline functions Spline functions
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| GB/T 7714 | Li, Chunhui , Su, Zhangwen , Ni, Rongyu et al. Integrated spatial generalized additive modeling for forest fire prediction: a case study in Fujian Province, China [J]. | JOURNAL OF FORESTRY RESEARCH , 2025 , 36 (1) . |
| MLA | Li, Chunhui et al. "Integrated spatial generalized additive modeling for forest fire prediction: a case study in Fujian Province, China" . | JOURNAL OF FORESTRY RESEARCH 36 . 1 (2025) . |
| APA | Li, Chunhui , Su, Zhangwen , Ni, Rongyu , Wang, Guangyu , Ouyang, Yiyun , Zeng, Aicong et al. Integrated spatial generalized additive modeling for forest fire prediction: a case study in Fujian Province, China . | JOURNAL OF FORESTRY RESEARCH , 2025 , 36 (1) . |
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This study examines the variations of elements in PM2.5 emitted from biomass burning in urban settings, which raises health concerns among urban dwellers. It specifically focused on how Sodium (Na), Calcium (Ca), Potassium (K), and Phosphorus (P) concentrations in tree combustibles affect their concentrations in PM2.5 emitted during combustion. Understanding these interactions is critical for evaluating air quality and its public health effects. Urban landscape coniferous and broad-leaf tree species combustibles (branches and leaves) were assessed, and the data were processed using Microsoft Excel, Origin Pro 2024, and R Studio. It was discovered that the species and organs had a common elemental concentration pattern (Ca > K > P > Na) in their combustibles but a different concentration pattern in the emitted PM2.5. Quantitatively, the concentrations in the combustibles varied, with Ca being the most abundant (69.85 mg/kg) and P the least (3.97 mg/kg). In PM2.5, the contrary was observed, i.e., Na (which was among the least concentrated elements in the combustibles) became prominent; the highest levels were recorded in PM2.5 from conifers (Na = 0.86 mg/kg). Among the assessed elements in PM2.5, P had the lowest concentration in all the tests, having the lowest values from broad-leaf species (P = 0.02 mg/kg). The SEM result further revealed that, quantitatively, the concentration of these elements in the combustibles does not necessarily mean that they will be in higher concentrations in the emitted PM2.5. These variations highlighted the importance of considering tree species, organ types, and elemental interactions when assessing the impacts of biomass combustion on urban air quality and human health.
Keyword ：
PM2.5 PM2.5 tree organs tree organs tree species tree species urban air pollution urban air pollution urban forests urban forests
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| GB/T 7714 | Turay, Mark Bayo , Ma, Yuanfan , Zeng, Aicong et al. Comparative Assessment of Elemental Concentrations in Urban Tree Species and PM2.5 Emitted from Their Combustion [J]. | ATMOSPHERE , 2025 , 16 (4) . |
| MLA | Turay, Mark Bayo et al. "Comparative Assessment of Elemental Concentrations in Urban Tree Species and PM2.5 Emitted from Their Combustion" . | ATMOSPHERE 16 . 4 (2025) . |
| APA | Turay, Mark Bayo , Ma, Yuanfan , Zeng, Aicong , Zhao, Pingxin , Chen, Jiayu , Li, Zhehan et al. Comparative Assessment of Elemental Concentrations in Urban Tree Species and PM2.5 Emitted from Their Combustion . | ATMOSPHERE , 2025 , 16 (4) . |
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Smoke and particulate matter released from forest fires, affecting the photosynthetic rate and stomatal conductance, may change the isotope composition in tree rings. Therefore, analysis of tree-ring isotopes could be a promising approach to monitor fires. We hypothesized that forest fires could influence the abundance of carbon (delta 13C), oxygen (delta 18O) and nitrogen (delta 15N) isotopes and the radial growth of tree rings of conifers through their impact on the physiological processes. We collected wood cores from four coniferous species in northern and southern China. The isotope composition of these samples was analysed to shed light on the correlation between fire occurrence and tree-ring isotopes. We found that fires led to an increase in delta 13C but a decrease in delta 15N in the whole wood, while significant increases of above 0.5 parts per thousand in delta 13C and a decrease of 0.2 to 0.5 parts per thousand in delta 18O in the alpha-cellulose were observed. Meteorological factors including precipitation and relative humidity influenced the isotope abundance. Besides, forest fires inhibited the radial growth of conifer trees, particularly Cryptomeria fortunei. Our results suggest that variations in delta 13C and delta 18O abundance in tree rings play an essential role as an indicator of forest fire occurrence, providing additional insights into the study of fire history.This article is part of the theme issue 'Novel fire regimes under climate changes and human influences: impacts, ecosystem responses and feedbacks'.
Keyword ：
conifer conifer forest fire forest fire ring width ring width stable isotope stable isotope tree ring tree ring wood core wood core
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| GB/T 7714 | Wei, Mao , Liu, Mengxia , Ma, Yuanfan et al. Stable isotope analysis in tree rings of conifer species relevant to fire history study [J]. | PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES , 2025 , 380 (1924) . |
| MLA | Wei, Mao et al. "Stable isotope analysis in tree rings of conifer species relevant to fire history study" . | PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES 380 . 1924 (2025) . |
| APA | Wei, Mao , Liu, Mengxia , Ma, Yuanfan , Tigabu, Mulualem , Fang, Keyan , Guo, Xinbin et al. Stable isotope analysis in tree rings of conifer species relevant to fire history study . | PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES , 2025 , 380 (1924) . |
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Nitrogen (N) is a limiting element in terrestrial ecosystems, and soil microorganisms play a crucial role in N nutrient cycling. Forest fires, as significant drivers of global change, release large amounts of smoke pollutants that deposit nitrogen-containing compounds, such as nitrate (NO3-N) and ammonium (NH4-N), into the soil. These compounds enhance the availability of bioavailable N, influencing the geochemical cycling of N in forest ecosystems. However, our understanding of how forest fire smoke deposition alters soil microorganisms and influences soil N transformation processes remains limited. To address this, we employed metagenomic techniques to analyze differences in microbial communities and N transformation functional genes in the rhizosphere soil of Cunninghamia lanceolata (Lamb.) Hook under varying concentrations of smoke deposition. Our results indicated that, low-concentration smoke deposition significantly (P < 0.05) increased N concentration and N transformation enzyme activity in the rhizosphere soil compared to the control group. After 7 days of low concentration smoke deposition, the net ammonification rate and net nitrification rate were 2.51 and 3.02 times higher, respectively, than in the control. The abundance of functional genes related to soil N loss mediated by microorganisms, such as those involved in nitrification and denitrification processes, increased while functional genes associated with N fixation and transport exhibited less pronounced positive effects. This suggests that N input from forest fires may not persist in soil over time, as evidenced by decreased soil N concentration. Furthermore, Partial Least Squares-Path Modelling analysis demonstrated that soil N conversion enzyme activity had a significant positive effect on N functional microorganisms under low-concentration forest fire smoke deposition. Overall, these findings highlight that smoke deposition affects soil N transformation by altering soil enzyme activity, N content, and microbial communities, and lower smoke concentration appears to have a more beneficial impact on soil N transformation processes.
Keyword ：
Metagenomics Metagenomics Microbial composition Microbial composition Nitrogen dynamics Nitrogen dynamics Nitrogen functional gene Nitrogen functional gene Soil enzyme activities Soil enzyme activities
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| GB/T 7714 | Huang, Ziyan , Zhan, Xiaoyu , Tigabu, Mulualem et al. Rhizosphere soil microbial communities and nitrogen transformation response to forest fire smoke [J]. | APPLIED SOIL ECOLOGY , 2025 , 208 . |
| MLA | Huang, Ziyan et al. "Rhizosphere soil microbial communities and nitrogen transformation response to forest fire smoke" . | APPLIED SOIL ECOLOGY 208 (2025) . |
| APA | Huang, Ziyan , Zhan, Xiaoyu , Tigabu, Mulualem , He, Yan , Li, Zhehan , Wang, Guangyu et al. Rhizosphere soil microbial communities and nitrogen transformation response to forest fire smoke . | APPLIED SOIL ECOLOGY , 2025 , 208 . |
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Aims Wildfires produce large amounts of smoke and carbon emissions. The carbon-containing gases in the smoke combine with atmospheric water vapor and droplets to form wet deposition of smoke, which then settles into forest ecosystems. However, the impact of smoke-derived carbon on plant carbon absorption and allocation is still unclear. Understanding this phenomenon is of great significance for revealing the impact of forest fires on carbon input in forest ecosystems. Methods This study utilized C-13 pulse-labeling technology to deposit C-13-containing smoke around the plant rhizosphere, investigated the absorption and allocation of smoke-derived carbon by Cunninghamia lanceolata seedlings under different concentrations of smoke deposition treatments. Results The results showed that low smoke concentration deposition significantly (P < 0.001) promoted biomass production. The aeroponic-system was more conducive to underground growth, while the soil-culture system was more conducive to aboveground growth. Similarly, low smoke concentration deposition significantly (P < 0.001) increased the total carbon content. The wildfire-derived C-13 content of various plant organs were higher for low than high smoke concentration treatment. Both the total carbon and wildfire-derived carbon contents of rhizosphere and non-rhizosphere soils were nearly equal. This indicates that plant roots directly absorb and allocate carbon from wildfires and transport it to the aboveground parts for internal cycling. Conclusions Plant growth and absorption of smoke derived carbon exhibited a concentration-dependent response to wildfire smoke deposition, with rhizosphere soils playing a minor role in carbon sequestration under wet smoke deposition. In summary, studying the absorption and allocation of smoke-derived carbon by plant roots is of great significance for understanding the function of forest ecosystems. In this context, our results provide valuable insights into the relationship between carbon cycling in forest ecosystems and wildfires.
Keyword ：
Aeroponics Aeroponics C-13 isotope labeling C-13 isotope labeling Carbon cycling Carbon cycling Forest fires Forest fires Smoke-derived carbon Smoke-derived carbon Wet deposition of smoke Wet deposition of smoke
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| GB/T 7714 | Zhan, Xiaoyu , Huang, Ziyan , Tigabu, Mulualem et al. Plants can directly absorb carbon derived from deposition of wildfire smoke [J]. | PLANT AND SOIL , 2025 , 513 (1) : 759-773 . |
| MLA | Zhan, Xiaoyu et al. "Plants can directly absorb carbon derived from deposition of wildfire smoke" . | PLANT AND SOIL 513 . 1 (2025) : 759-773 . |
| APA | Zhan, Xiaoyu , Huang, Ziyan , Tigabu, Mulualem , Zhao, Pingxin , He, Yan , Guo, Futao . Plants can directly absorb carbon derived from deposition of wildfire smoke . | PLANT AND SOIL , 2025 , 513 (1) , 759-773 . |
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【目的】揭示林火烟气沉降背景下土壤理化性质对杉木挥发性有机物释放特征的影响，探讨火后土壤-植物-大气之间的相互作用，为火后生态修复与大气环境评估提供科学依据。【方法】选择福建省三明市尤溪县国有林场的杉木幼苗作为研究对象，设置烟气空白组、低浓度组和高浓度组，分别燃烧0、50和150 g可燃物进行烟气处理。在密闭烟气处理后的第7、30和90天，利用预浓缩系统和气相色谱-质谱联用仪测定植物挥发物的化学组成及释放速率，连续监测土壤理化性质变化，并运用结构方程模型（SEM）分析林火烟气浓度、杉木挥发性有机物释放速率、土壤理化性质间的潜在关联。【结果】1）林火烟气处理后的第7天烟气浓度对10～20 cm土层氮含量和10～20 cm土层pH值有显著正效应，第30天时对10～20 cm土层氮含量有显著负效应，而对10～20 cm土层pH值有显著正效应。第90天时对10～20 cm土层pH有显著负效应。随烟气处理后时间的推移，除0～20 cm土层中磷含量和0～10 cm土层的低浓度组中碳含量在第30天下降并于90天回升外，0～20 cm土层中氮含量、pH值、电导率和10～20 cm土层碳含量均呈下降趋势。2）杉木释放出8种重要的烯烃，包括1-丁烯、 1-己烯、反式-2-丁烯、顺式-2-丁烯、1-戊烯、异戊二烯、反式-2-戊烯和顺式-2-戊烯，其中异戊二烯、1-己烯、1-戊烯和1-丁烯的释放速率最高，处理后30天时各杉木挥发性有机物释放速率显现差异，90天时趋于一致。烟气处理后30天时烟气浓度与异戊二烯的释放速率有显著负相关（P<0.01）。处理后90天时反式-2-丁烯的释放速率相较空白组显著下降（P<0.01）。在低浓度处理组中，处理后第7天时显著提高了1-丁烯的释放速率（P<0.01）。3）林火烟气改变了土壤的理化性质，土壤氮、磷元素含量、pH值与杉木挥发性有机物的释放存在一定联系，10～20 cm土层氮含量对异戊二烯的释放有直接的显著正效应（P<0.001）,0～10 cm土层磷含量对异戊二烯的释放速率有直接的显著负效应（P<0.01）,10～20 cm土层pH值对异戊二烯的释放速率有直接的极显著负效应（P<0.001）。【结论】在林火烟气沉降背景下，土壤理化性质（尤其是土壤氮含量、磷含量、pH值）的动态变化对杉木的异戊二烯等挥发性有机物的排放具有显著调控作用。这些发现丰富了林火发生后土壤-植物-大气环境的理论，也可为火后生态...
Keyword ：
土壤理化性质 土壤理化性质 挥发性有机物 挥发性有机物 杉木 杉木 林火烟气 林火烟气 结构方程模型 结构方程模型
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| GB/T 7714 | 陈佳宇 , 李哲瀚 , 赵平欣 et al. 林火烟气沉降背景下土壤理化性质对杉木挥发性有机物排放特征的影响 [J]. | 林业科学 , 2025 , 61 (06) : 85-98 . |
| MLA | 陈佳宇 et al. "林火烟气沉降背景下土壤理化性质对杉木挥发性有机物排放特征的影响" . | 林业科学 61 . 06 (2025) : 85-98 . |
| APA | 陈佳宇 , 李哲瀚 , 赵平欣 , 詹笑宇 , 马远帆 , 郭福涛 . 林火烟气沉降背景下土壤理化性质对杉木挥发性有机物排放特征的影响 . | 林业科学 , 2025 , 61 (06) , 85-98 . |
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林火对森林生态系统有着重大影响，造成了广泛的生态破坏和重大的经济损失，因此建立准确可靠的预测模型对森林火灾防控至关重要。研究旨在对比分析Logistic回归模型和空间广义加性模型在林火发生预测和火险等级划分方面的应用效果，为森林火灾防控提供更科学的模型依据。选取2006—2020年的黑龙江省林火数据，结合气象、地形、植被等多种影响因素，对Logistic回归模型和四种不同基函数的空间广义加性模型进行评估。结果显示：相较于传统Logistic回归模型，由高斯过程平滑样条基(GP),三次样条基(CR),薄板回归样条基(TP),自适应样条基(AD)拟合的空间广义加性模型均展现出更优异的拟合效果和预测能力。其中，AD拟合的空间广义加性模型效果最佳，其测试集准确率提高4.2%,AUC值提升0.053。模型预测显示，黑龙江省的高火险区主要分布在西北和中南地区，与该省实际的防火布局高度吻合。研究表明，空间信息在森林火灾发生预测中具有显著作用。同时，基于自适应样条基的空间广义加性模型能够对自变量进行分段线性解释，为黑龙江省制定精准的火灾预防措施、优化消防资源配置提供了更具针对性的理论参考和决策支持。
Keyword ：
Logistic回归模型 Logistic回归模型 分段效应 分段效应 平滑样条函数 平滑样条函数 林火预测模型 林火预测模型 空间广义加性模型 空间广义加性模型
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| GB/T 7714 | 李春辉 , 欧阳逸云 , 何燕 et al. 基于空间广义加性模型的黑龙江省林火发生预测 [J]. | 生态学报 , 2025 , 45 (08) : 3957-3968 . |
| MLA | 李春辉 et al. "基于空间广义加性模型的黑龙江省林火发生预测" . | 生态学报 45 . 08 (2025) : 3957-3968 . |
| APA | 李春辉 , 欧阳逸云 , 何燕 , 倪荣雨 , 曾爱聪 , 苏漳文 et al. 基于空间广义加性模型的黑龙江省林火发生预测 . | 生态学报 , 2025 , 45 (08) , 3957-3968 . |
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【目的】极限梯度提升树（XGBoost）与轻量级梯度提升机（LightGBM）模型在梯度提升决策树框架下各具优势，系统对比两者在土壤异养呼吸估算中的性能差异，有助于深入挖掘梯度提升机在生态系统碳通量预测中的潜力，并推动该类模型在大尺度碳循环模拟中的优化应用。【方法】基于全球土壤呼吸数据库（SRDB），构建了中国陆地生态系统的土壤异养呼吸及环境因子数据库，利用XGBoost和LightGBM 2种梯度提升机模型对2000—2023年中国陆地生态系统土壤异养呼吸进行估算与对比分析，并进一步探讨中国陆地生态系统土壤异养呼吸的空间分布趋势及其主要影响因素。【结果】（1）2个模型均展现出较高的预测精度（测试集决定系数均为0.91）,XGBoost模型在训练集上表现出较强的拟合能力，LightGBM模型则在测试集上能够更好地控制误差。（2）在2000—2023年，XGBoost与LightGBM模型估算的中国陆地生态系统土壤异养呼吸年平均值分别为299.57和294.60 g·m
Keyword ：
土壤异养呼吸估算 土壤异养呼吸估算 极限梯度提升树(XGBoost)模型 极限梯度提升树(XGBoost)模型 轻量级梯度提升机(LightGBM)模型 轻量级梯度提升机(LightGBM)模型 陆地生态系统 陆地生态系统
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| GB/T 7714 | 张金文 , 王文龙 , 倪荣雨 et al. 基于梯度提升机的中国陆地生态系统土壤异养呼吸预测 [J]. | 浙江农林大学学报 , 2025 , 42 (04) : 774-783 . |
| MLA | 张金文 et al. "基于梯度提升机的中国陆地生态系统土壤异养呼吸预测" . | 浙江农林大学学报 42 . 04 (2025) : 774-783 . |
| APA | 张金文 , 王文龙 , 倪荣雨 , 张彬梅 , 曾爱聪 , 郭福涛 et al. 基于梯度提升机的中国陆地生态系统土壤异养呼吸预测 . | 浙江农林大学学报 , 2025 , 42 (04) , 774-783 . |
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