Journal of Forestry Research最新文献_第3页

Advancing climate resilience through a geo-design framework: strengthening urban and community forestry for sustainable environmental design 通过地理设计框架提高气候复原力：加强城市和社区林业，促进可持续环境设计

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-08-12 DOI: 10.1007/s11676-024-01772-0

Xiwei Shen, Mingze Chen, Xiaowei Li, Shu Gao, Qiuyi Yang, Yuhan Wen, Qingqing Sun

{"title":"Advancing climate resilience through a geo-design framework: strengthening urban and community forestry for sustainable environmental design","authors":"Xiwei Shen, Mingze Chen, Xiaowei Li, Shu Gao, Qiuyi Yang, Yuhan Wen, Qingqing Sun","doi":"10.1007/s11676-024-01772-0","DOIUrl":"https://doi.org/10.1007/s11676-024-01772-0","url":null,"abstract":"Urban and community forestry is a specialized discipline focused on the meticulous management of trees and forests within urban, suburban, and town environments. This field often entails extensive civic involvement and collaborative partnerships with institutions. Its overarching objectives span a spectrum from preserving water quality, habitat, and biodiversity to mitigating the Urban Heat Island (UHI) effect. The UHI phenomenon, characterized by notably higher temperatures in urban areas compared to rural counterparts due to heat absorption by urban infrastructure and limited urban forest coverage, serves as a focal point in this study. The study focuses on developing a methodological framework that integrates Geographically Weighted Regression (GWR), Random Forest (RF), and Suitability Analysis to assess the Urban Heat Island (UHI) effect across different urban zones, aiming to identify areas with varying levels of UHI impact. The framework is designed to assist urban planners and designers in understanding the spatial distribution of UHI and identifying areas where urban forestry initiatives can be strategically implemented to mitigate its effect. Conducted in various London areas, the research provides a comprehensive analysis of the intricate relationship between urban and community forestry and UHI. By mapping the spatial variability of UHI, the framework offers a novel approach to enhancing urban environmental design and advancing urban forestry studies. The study’s findings are expected to provide valuable insights for urban planners and policymakers, aiding in creating healthier and more livable urban environments through informed decision-making in urban forestry management.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"93 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141939404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deciphering nitrogen concentrations in Metasequoia glyptostroboides: a novel approach using RGB images and machine learning 水杉氮浓度解密：一种利用 RGB 图像和机器学习的新方法

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-08-03 DOI: 10.1007/s11676-024-01769-9

Cong Ma, Ran Tong, Nianfu Zhu, Wenwen Yuan, Yanji Li, G. Geoff Wang, Tonggui Wu

{"title":"Deciphering nitrogen concentrations in Metasequoia glyptostroboides: a novel approach using RGB images and machine learning","authors":"Cong Ma, Ran Tong, Nianfu Zhu, Wenwen Yuan, Yanji Li, G. Geoff Wang, Tonggui Wu","doi":"10.1007/s11676-024-01769-9","DOIUrl":"https://doi.org/10.1007/s11676-024-01769-9","url":null,"abstract":"Recent advances in spectral sensing techniques and machine learning (ML) methods have enabled the estimation of plant physiochemical traits. Nitrogen (N) is a primary limiting factor for terrestrial forest growth, but traditional methods for N determination are labor-intensive, time-consuming, and destructive. In this study, we present a rapid, non-destructive method to predict leaf N concentration (LNC) in Metasequoia glyptostroboides plantations under N and phosphorus (P) fertilization using ML techniques and unmanned aerial vehicle (UAV)- based RGB (red, green, blue) images. Nine spectral vegetation indices (VIs) were extracted from the RGB images. The spectral reflectance and VIs were used as input features to construct models for estimating LNC based on support vector machine, random forest (RF), and multiple linear regression, gradient boosting regression and classification and regression trees (CART). The results show that RF is the best fitting model for estimating LNC with a coefficient of determination (R2) of 0.73. Using this model, we evaluated the effects of N and P treatments on LNC and found a significant increase with N and a decrease with P. Height, diameter at breast height (DBH), and crown width of all M. glyptostroboides were analyzed by Pearson correlation with the predicted LNC. DBH was significantly correlated with LNC under N treatment. Our results highlight the potential of combining UAV RGB images with an ML algorithm as an efficient, scalable, and cost-effective method for LNC quantification. Future research can extend this approach to different tree species and different plant traits, paving the way for large-scale, time-efficient plant growth monitoring.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"11 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141939410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of thinning intensity on the carbon sequestration of natural mixed coniferous and broadleaf forests in Xiaoxing’an Mountains, China 疏伐强度对中国小兴安岭针阔混交林碳汇的影响

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-07-30 DOI: 10.1007/s11676-024-01761-3

Hangfeng Qu, Xibin Dong, Hui Liu, Baoshan Zhang, Tong Gao, Yuan Meng, Yunze Ren, Ying Zhang

{"title":"Effect of thinning intensity on the carbon sequestration of natural mixed coniferous and broadleaf forests in Xiaoxing’an Mountains, China","authors":"Hangfeng Qu, Xibin Dong, Hui Liu, Baoshan Zhang, Tong Gao, Yuan Meng, Yunze Ren, Ying Zhang","doi":"10.1007/s11676-024-01761-3","DOIUrl":"https://doi.org/10.1007/s11676-024-01761-3","url":null,"abstract":"To study the effect of thinning intensity on the carbon sequestration by natural mixed coniferous and broadleaf forests in Xiaoxing’an Mountains, China, we established six 100 m × 100 m experimental plots in Dongfanghong Forest that varied in thinning intensity: plot A (10%), B (15%), C (20%), D (25%), E (30%), F (35%), and the control sample area (0%). A principal component analysis was performed using 50 different variables, including species diversity, soil fertility, litter characteristics, canopy structure parameters, and seedling regeneration parameters. The effects of thinning intensity on carbon sequestration were strongest in plot E (0.75), followed by D (0.63), F (0.50), C (0.48), B (0.22), A (0.11), and the control (0.06). The composite score of plot E was the highest, indicating that the carbon sequestration effect was strongest at a thinning intensity of 30%. These findings provide useful insights that could aid the management of natural mixed coniferous and broadleaf forests in Xiaoxing’an Mountains, China. This information has implications for future studies of these forests, and the methods used could aid future ecological assessments of the natural forests in Xiaoxing’an Mountains, China.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"55 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141872570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Endogenous serotonin induced by cold acclimation increases cold tolerance by reshaping the MEL/ROS/RNS redox network in Kandelia obovata 冷适应诱导的内源性血清素通过重塑 Kandelia obovata 的 MEL/ROS/RNS 氧化还原网络提高耐寒性

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-07-20 DOI: 10.1007/s11676-024-01765-z

Junjian Li, Huiyu Zhang, Danfei Yue, Siyi Chen, Yaxin Yin, Chunfang Zheng, Yan Chen

{"title":"Endogenous serotonin induced by cold acclimation increases cold tolerance by reshaping the MEL/ROS/RNS redox network in Kandelia obovata","authors":"Junjian Li, Huiyu Zhang, Danfei Yue, Siyi Chen, Yaxin Yin, Chunfang Zheng, Yan Chen","doi":"10.1007/s11676-024-01765-z","DOIUrl":"https://doi.org/10.1007/s11676-024-01765-z","url":null,"abstract":"Cold stress severely limits the distribution of mangrove species worldwide and it remains unclear how mangroves respond and adapt to cold temperatures. In this study, we investigated the effects of cold acclimation and/or inhibition of serotonin levels on reactive oxygen species (ROS), reactive nitrogen species (RNS), melatonin (MEL) and serotonin (SER) accumulation during cold stress in Kandelia obovata. Morphologic observation and parameter analysis revealed that cold acclimation mitigated the photoinhibition of photosystem I (PSI) and photosystem II (PSII), maintained optimal ROS and RNS redox homeostasis, and increased the contents of SER and MEL in leaves. This suggests that cold acclimation reshapes the MEL/ROS/RNS redox network. In particular, the tryptophan/tryptamine/Ser/N-acetylserotonin/MER pathway was identified as a branch of the MEL synthesis pathway. Inhibition of endogenous SER exacerbated damage caused by cold stress, indicating the crosstalk of SER synthesis and cold acclimation. In this study, we report a coordinated regulation of cold stress by a complex defense network in K. obovata.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"93 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141744502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Variations and determinants of tissue carbon concentration of 32 sympatric temperate tree species 32 种同域温带树种组织碳浓度的变化和决定因素

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-07-20 DOI: 10.1007/s11676-024-01764-0

Jun Pan, Jing Zhang, Xingchang Wang, Xiuwei Wang, Qi Wang, Yankun Liu, Yulong Liu, Yunfei Diao, Xiankui Quan, Chuankuan Wang, Xiaochun Wang

{"title":"Variations and determinants of tissue carbon concentration of 32 sympatric temperate tree species","authors":"Jun Pan, Jing Zhang, Xingchang Wang, Xiuwei Wang, Qi Wang, Yankun Liu, Yulong Liu, Yunfei Diao, Xiankui Quan, Chuankuan Wang, Xiaochun Wang","doi":"10.1007/s11676-024-01764-0","DOIUrl":"https://doi.org/10.1007/s11676-024-01764-0","url":null,"abstract":"Plant carbon (C) concentration is a fundamental trait for estimating C storage and nutrient utilization. However, the mechanisms of C concentration variations among different tree tissues and across species remains poorly understood. In this study, we explored the variations and determinants of C concentration of nine tissues from 216 individuals of 32 tree species, with particular attention on the effect of wood porosity (i.e., non-porous wood, diffuse-porous wood, and ring-porous wood). The inter-tissue pattern of C concentration diverged across the three porosity types; metabolically active tissues (foliage and fine roots, except for the foliage of ring-porous species) generally had higher C levels compared with inactive wood. The poor inter-correlations between tissue C concentrations indicated a necessity of measuring tissue- and specific-C concentrations. Carbon concentration for almost all tissues generally decreased from non-porous, to diffuse-porous and to ring-porous. Tissue C was often positively correlated with tissue (foliage and wood) density and tree size, while negatively correlated with growth rate, depending on wood porosity. Our results highlight the mediating effect of type of wood porosity on the variation in tissue C among temperate species. The variations among tissues were more important than that among species. These findings provided insights on tissue C concentration variability of temperate forest species.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"25 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141744590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Topgrafting as a tool in operational Scots pine breeding 作为苏格兰松树育种操作工具的顶芽嫁接

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-07-19 DOI: 10.1007/s11676-024-01766-y

Alisa Heuchel, David Hall, Curt Almqvist, Ulfstand Wennström, Torgny Persson

{"title":"Topgrafting as a tool in operational Scots pine breeding","authors":"Alisa Heuchel, David Hall, Curt Almqvist, Ulfstand Wennström, Torgny Persson","doi":"10.1007/s11676-024-01766-y","DOIUrl":"https://doi.org/10.1007/s11676-024-01766-y","url":null,"abstract":"Effective breeding requires multiplying desired genotypes, keeping them at a convenient location to perform crosses more efficiently, and building orchards to generate material for reforestation. While some of these aims can be achieved by conventional grafting involving only rootstock and scion, topgrafting is known to deliver all in a shorter time span. In this study, Scots pine scions were grafted onto the upper and lower tree crowns in two clonal archives with the aim of inducing early female and male strobili production, respectively. Their survival rates and strobili production were analyzed with generalized linear mixed models. Survival was low (14%) to moderate (41%), and mainly affected by the topgraft genotype, interstock genotype, crown position and weather conditions in connection with the grafting procedure. Survival was not affected by the cardinal position in the crown (south or north). Male flowering was ample three years after grafting and reached 56% in the first year among live scions, increasing to 62 and 59% in consecutive years. Female flowering was scarce and was 9% at first, later increasing to 26 and 20% of living scions but was strongly affected by the topgraft genotype. In one subset of scions, female flowering was observed 1 year after grafting. Overall, flowering success was mainly affected by the topgraft and interstock genotypes, and secondary growth of scions. This is one of few reports on topgrafting in functional Scots pine clonal archives.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"71 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141744504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Genetic variation and selection of 10-year-old Eucalyptus camaldulensis based on wind damage index and wood properties 基于风害指数和木材特性的 10 年树龄桉树的遗传变异和选择

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-07-12 DOI: 10.1007/s11676-024-01762-2

Xiuhua Shang, Zhihua Wu, Xiaoming Li, Youshuang Wang, Peijian Zhang

{"title":"Genetic variation and selection of 10-year-old Eucalyptus camaldulensis based on wind damage index and wood properties","authors":"Xiuhua Shang, Zhihua Wu, Xiaoming Li, Youshuang Wang, Peijian Zhang","doi":"10.1007/s11676-024-01762-2","DOIUrl":"https://doi.org/10.1007/s11676-024-01762-2","url":null,"abstract":"Typhoons are becoming frequent and intense with ongoing climate change, threatening ecological security and healthy forest development in coastal areas. Eucalyptus of a predominant introduced species in southern China, faces significant growth challenges because of typhoon. Therefore, it is vital to investigate the variation of related traits and select superior breeding materials for genetic improvement. Variance, genetic parameter, and correlation analyses were carried out on wind damage indices and eight wood properties in 88 families from 11 provenances of 10-year-old Eucalyptus camaldulensis. The selection index equation was used for evaluating multiple traits and selecting superior provenances and family lines as future breeding material. The results show that all traits were highly significantly different at provenance and family levels, with the wind damage index having the highest coefficient of genetic variation. The heritability of each trait ranged from 0.48 to 0.87, with the wind damage index, lignin and hemicellulose contents, and microfibril angle having the highest heritabilities. The wind damage index had a positive genetic correlation with wood density, a negative correlation with lignin content, a negative phenotypic correlation and a negative genetic correlation with microfibril angle. Wind damage index and genetic progress in the selection of eight wood traits varied from 7.2% to 614.8%. Three provenances and 12 superior families were selected. The genetic gains of the wind damage index were 10.2% and 33.9% for provenances and families, and these may be starting material for genetic modification for wind resistance in eucalyptus and for their dissemination to typhoon-prone coastal areas of southern China.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"23 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141610732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A spatio-temporal multi-scale fusion algorithm for pine wood nematode disease tree detection 松材线虫病病树检测的时空多尺度融合算法

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-07-04 DOI: 10.1007/s11676-024-01754-2

Chao Li, Keyi Li, Yu Ji, Zekun Xu, Juntao Gu, Weipeng Jing

{"title":"A spatio-temporal multi-scale fusion algorithm for pine wood nematode disease tree detection","authors":"Chao Li, Keyi Li, Yu Ji, Zekun Xu, Juntao Gu, Weipeng Jing","doi":"10.1007/s11676-024-01754-2","DOIUrl":"https://doi.org/10.1007/s11676-024-01754-2","url":null,"abstract":"Pine wood nematode infection is a devastating disease. Unmanned aerial vehicle (UAV) remote sensing enables timely and precise monitoring. However, UAV aerial images are challenged by small target size and complex surface backgrounds which hinder their effectiveness in monitoring. To address these challenges, based on the analysis and optimization of UAV remote sensing images, this study developed a spatio-temporal multi-scale fusion algorithm for disease detection. The multi-head, self-attention mechanism is incorporated to address the issue of excessive features generated by complex surface backgrounds in UAV images. This enables adaptive feature control to suppress redundant information and boost the model’s feature extraction capabilities. The SPD-Conv module was introduced to address the problem of loss of small target feature information during feature extraction, enhancing the preservation of key features. Additionally, the gather-and-distribute mechanism was implemented to augment the model’s multi-scale feature fusion capacity, preventing the loss of local details during fusion and enriching small target feature information. This study established a dataset of pine wood nematode disease in the Huangshan area using DJI (DJ-Innovations) UAVs. The results show that the accuracy of the proposed model with spatio-temporal multi-scale fusion reached 78.5%, 6.6% higher than that of the benchmark model. Building upon the timeliness and flexibility of UAV remote sensing, the proposed model effectively addressed the challenges of detecting small and medium-size targets in complex backgrounds, thereby enhancing the detection efficiency for pine wood nematode disease. This facilitates early preemptive preservation of diseased trees, augments the overall monitoring proficiency of pine wood nematode diseases, and supplies technical aid for proficient monitoring.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"15 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting the rate of spread of mixed-fuel surface fires in northeastern China using the Rothermel wildfire behaviour model: a laboratory study 利用罗瑟梅尔野火行为模型预测中国东北地区混合燃料地表火的蔓延速度：一项实验室研究

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-07-04 DOI: 10.1007/s11676-024-01730-w

Hui Yang, Huiying Cai, Guang Yang, Daotong Geng, Long Sun

{"title":"Predicting the rate of spread of mixed-fuel surface fires in northeastern China using the Rothermel wildfire behaviour model: a laboratory study","authors":"Hui Yang, Huiying Cai, Guang Yang, Daotong Geng, Long Sun","doi":"10.1007/s11676-024-01730-w","DOIUrl":"https://doi.org/10.1007/s11676-024-01730-w","url":null,"abstract":"The rate of fire spread is a key indicator for assessing forest fire risk and developing fire management plans. The Rothermel model is the most widely used fire spread model, established through laboratory experiments on homogeneous fuels but has not been validated for conifer-deciduous mixed fuel. In this study, Pinus koraiensis and Quercus mongolica litter was used in a laboratory burning experiment to simulate surface fire spread in the field. The effects of fuel moisture content, mixed fuel ratio and slope on spread rate were analyzed. The optimum packing ratio, moisture-damping coefficient and slope parameters in the Rothermel model were modified using the measured spread rate which was positively correlated with slope and negatively with fuel moisture content. As the Q. mongolica load increased, the spread rate increased and was highest at a fuel ratio of 4:6. The model with modified optimal packing ratio and slope parameters has a significantly lower spread rate prediction error than the unmodified model. The spread rate prediction accuracy was significantly improved after modifying the model parameters based on spread rates from laboratory burning simulations.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"52 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing forest insect outbreak detection by integrating tree-ring and climate variables 通过整合树环和气候变量加强森林昆虫疫情检测

IF 3 2区农林科学

Journal of Forestry Research Pub Date : 2024-07-02 DOI: 10.1007/s11676-024-01759-x

Yao Jiang, Zhou Wang, Zhongrui Zhang, Xiaogang Ding, Shaowei Jiang, Jianguo Huang

{"title":"Enhancing forest insect outbreak detection by integrating tree-ring and climate variables","authors":"Yao Jiang, Zhou Wang, Zhongrui Zhang, Xiaogang Ding, Shaowei Jiang, Jianguo Huang","doi":"10.1007/s11676-024-01759-x","DOIUrl":"https://doi.org/10.1007/s11676-024-01759-x","url":null,"abstract":"Annual tree rings are widely recognized as valuable tools for quantifying and reconstructing historical forest disturbances. However, the influence of climate can complicate the detection of disturbance signals, leading to limited accuracy in existing methods. In this study, we propose a random under-sampling boosting (RUB) classifier that integrates both tree-ring and climate variables to enhance the detection of forest insect outbreaks. The study focused on 32 sites in Alberta, Canada, which documented insect outbreaks from 1939 to 2010. Through thorough feature engineering, model development, and tenfold cross-validation, multiple machine learning (ML) models were constructed. These models used ring width indices (RWIs) and climate variables within an 11-year window as input features, with outbreak and non-outbreak occurrences as the corresponding output variables. Our results reveal that the RUB model consistently demonstrated superior overall performance and stability, with an accuracy of 88.1%, which surpassed that of the other ML models. In addition, the relative importance of the feature variables followed the order RWIs > mean maximum temperature (Tmax) from May to July > mean total precipitation (Pmean) in July > mean minimum temperature (Tmin) in October. More importantly, the dfoliatR (an R package for detecting insect defoliation) and curve intervention detection methods were inferior to the RUB model. Our findings underscore that integrating tree-ring width and climate variables as predictors in machine learning offers a promising avenue for enhancing the accuracy of detecting forest insect outbreaks.","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"19 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0