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学者姓名：郭福涛
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Abstract ：
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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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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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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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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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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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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森林火灾对人类生命、森林环境和生物多样性等造成严重威胁，小尺度区域的森林火灾风险制图对于林火管理至关重要。本研究将双变量统计(证据权重WOE,统计指数SI)与多准则决策分析(层次分析法AHP,网络层次分析法ANP)结合构建新的WOE-ANP和SI-ANP综合模型，分析贵州省望谟县的森林火险等级区划。结果表明：望谟县南部大部分地区、西部和北部的部分地区极易发生森林火灾，4级及以上火险等级区域占比达39.2%,该县火险情况较为严峻。综合模型有效提高了单一双变量统计模型的预测能力，相比于AHP,ANP在林火风险因子权重评估上更可靠。WOE-ANP和SI-ANP综合模型评估的森林火险具有较高的准确性(84.3%和83.8%),可为林火管理提供更可靠的决策支持和参考依据。
Keyword ：
双变量统计 双变量统计 基于GIS的多准则决策分析 基于GIS的多准则决策分析 森林火灾风险制图 森林火灾风险制图 综合模型 综合模型 网络层次分析法 网络层次分析法
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| GB/T 7714 | 欧阳逸云 , 李春辉 , 倪荣雨 et al. 基于双变量统计和多准则决策分析的小尺度森林火险区划 [J]. | 应用生态学报 , 2025 , 36 (01) : 187-196 . |
| MLA | 欧阳逸云 et al. "基于双变量统计和多准则决策分析的小尺度森林火险区划" . | 应用生态学报 36 . 01 (2025) : 187-196 . |
| APA | 欧阳逸云 , 李春辉 , 倪荣雨 , 赵平欣 , 曾爱聪 , 郭福涛 . 基于双变量统计和多准则决策分析的小尺度森林火险区划 . | 应用生态学报 , 2025 , 36 (01) , 187-196 . |
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[目的 ]探究林火产生的大量烟气颗粒物沉降对火场以外森林凋落物-土壤系统的重要影响。[方法 ]本研究以福建典型乔木树种杉木为研究对象，模拟不同强度火灾产生的烟气颗粒物经湿沉降回到生态系统的过程，对可燃物、烟水、凋落物、土壤中锌（Zn）、铁（Fe）、锰（Mn）、铜（Cu）、钾（K）、钙（Ca）、钠（Na）、镁（Mg）、铝（Al）9种金属元素浓度和凋落物、土壤中硝酸还原酶（NR）、亚硝酸还原酶（NIR）、过氧化氢酶（CAT）、过氧化物酶（POD）4种生物酶活性进行分析测定。[结果 ]林火烟气湿沉降后7 d金属元素有3.11%～3.39%至凋落物，5.64%～6.98%到土壤中。沉降后1 a，时间对金属元素浓度和生物酶活性均有显著影响。烟气浓度对凋落物中Fe、K、Na、Al、土壤中Fe、Mn、Cu、K、Ca、Na、Al影响显著；烟气浓度+时间对凋落物中Zn、Fe、Cu、K、Ca、Na、Mg、Al和土壤中Zn、Fe、Mn、Cu、K、Ca、Na影响显著。凋落物中酶活受烟气、烟气+时间浓度影响显著；土壤中NR、CAT受烟气浓度影响显著，NR、CAT、POD活性的变化受烟气浓度+时间影响显著。凋落物层生物酶活性与金属元素浓度主要表现为正相关，土壤层则主要表现为负相关。[结论 ]火灾强度对烟气中金属元素在不同环节的分配比例影响较小，金属元素含量和生物酶活性受烟气浓度、时间及其交互作用调控，于长期而言，烟气沉降带来的少量金属元素输入会促进NR、NIR、CAT、POD4种酶活性增加，过量则抑制酶活。
Keyword ：
林火 林火 沉降 沉降 生物酶活 生物酶活 金属元素 金属元素 颗粒物 颗粒物
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| GB/T 7714 | 赵平欣 , 马远帆 , 林海川 et al. 林火烟气湿沉降对森林凋落物和土壤中金属元素及生物酶活性的影响 [J]. | 林业科学研究 , 2025 , 38 (03) : 12-20 . |
| MLA | 赵平欣 et al. "林火烟气湿沉降对森林凋落物和土壤中金属元素及生物酶活性的影响" . | 林业科学研究 38 . 03 (2025) : 12-20 . |
| APA | 赵平欣 , 马远帆 , 林海川 , 詹笑宇 , 黄紫颜 , 郭福涛 . 林火烟气湿沉降对森林凋落物和土壤中金属元素及生物酶活性的影响 . | 林业科学研究 , 2025 , 38 (03) , 12-20 . |
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森林火灾释放的含复杂有机污染物的烟气经大气扩散后，可改变周边植物的生理代谢过程。现有研究虽已证实林火排放物对生物源挥发性有机化合物（BVOCs）的影响，但其动态调控机制仍待阐明。该研究通过模拟3种烟气浓度[空白组（未通烟）、低浓度组（50 g凋落物燃烧通烟）和高浓度组（150 g凋落物燃烧通烟）]对杉木幼苗进行胁迫处理，基于挥发物捕集与分析技术（动态顶空采样结合GC-MS分析）监测烟气和烷烃化学组成及释放速率，并构建结构方程模型（SEM），解析烟气成分与烷烃释放的关联路径。结果表明：（1）杉木凋落物燃烧释放的烷烃以异丁烷（22.7%）、正丁烷（20.6%）及异戊烷（16.4%）为主。（2）杉木释放的BVOCs以正辛烷（18.4%）、异戊烷（16.2%）及2-甲基戊烷（14.4%）为主。（3）烟气胁迫在第7天显著（P<0.001）提升烷烃释放速率（低浓度组提升148.2%，高浓度组提升105.1%），并且烟气胁迫具有明显时效性，短期（1～7 d）烷烃的释放速率大幅上升115.9%，中期（7～30 d）释放速率急剧下降89.8%，长期（30～90 d）释放速率趋于稳定。（4）SEM分析显示，烟气中PM2.5对2-甲基戊烷和3-甲基戊烷的释放呈显著正向调控（P<0.001）,CO对正辛烷的释放产生显著正向效应（P<0.01）；而CO
Keyword ：
杉木 杉木 森林火灾 森林火灾 烟气 烟气 烷烃 烷烃 生物源挥发性有机化合物(BVOCs) 生物源挥发性有机化合物(BVOCs)
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| GB/T 7714 | 李哲瀚 , 陈佳宇 , Mark Bayo Turay et al. 林火烟气对杉木源挥发性有机物释放的影响 [J]. | 环境科学研究 , 2025 , 38 (08) : 1753-1762 . |
| MLA | 李哲瀚 et al. "林火烟气对杉木源挥发性有机物释放的影响" . | 环境科学研究 38 . 08 (2025) : 1753-1762 . |
| APA | 李哲瀚 , 陈佳宇 , Mark Bayo Turay , 赵平欣 , 黄紫颜 , 郭福涛 . 林火烟气对杉木源挥发性有机物释放的影响 . | 环境科学研究 , 2025 , 38 (08) , 1753-1762 . |
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