[1] 曹林,周凯,申鑫,等.智慧林业发展现状与展望[J].南京林业大学学报(自然科学版),2022,46(6):83-95.Cao L,Zhou K,Shen X,et al.The status and prospects of smart forestry[J].Journal of Nanjing Forestry University (Natural Sciences Edition),2022,46(6):83-95. DOI:10.12302/j.issn.1000-2006.202209052.
[2] 曹玉昆,李敬烨,黄显乔,等.发展林业新质生产力:基本内涵、理论逻辑与实践路径[J].中国农村经济,2025(7):23-41.Cao Y K,Li J Y,Huang X Q,et al.Development of new quality productive forces in forestry:basic connotation,theoretical logic,and practical path[J].Chinese Rural Economy,2025(7):23-41. DOI:10.20077/j.cnki.11-1262/f.2025.07.002.
[3] 臧润国,姚杰.多种生态系统服务与生物多样性协同提升的综合森林管理研究[J].中国水土保持科学(中英文),2026,24(2):1-6.Zang R G,Yao J.Integrative forest management for synergistic improvement of multiple ecosystem services and biodiversity[J].Science of Soil and Water Conservation,2026,24(2):1-6. DOI:10.16843/j.sswc.2025089.
[4] 董文,蔡明,胡盼,等.“十三五”国家重点研发计划“林业资源培育及高效利用技术创新”重点专项布局与实施成效分析[J].中国农业科技导报,2024,26(4):1-8.Dong W,Cai M,Hu P,et al.Layout and implementation effect analysis of the “13th five-year” national key research and development program’s “forestry resource cultivation and efficient utilization technology innovation”[J].Journal of Agricultural Science and Technology,2024,26(4):1-8. DOI:10.13304/j.nykjdb.2023.0767.
[5] FAO. The state of the world’s forests2022: forest pathways for green recovery and building inclusive, resilient and sustainable economies[R]. Rome: FAO, 2022.https://www.fao.org/3/cb9360en/cb9360en.pdf.
[6] Zuo X,Dalong J.AI-powered plant science:transforming forestry monitoring,disease prediction,and climate adaptation[J].Plants,2025,14(11):1626. DOI:10.3390/plants14111626.
[7] 李德仁,丁霖,邵振峰. 面向实时应用的遥感服务技术[J]. 遥感学报,2021, 25(1): 15-24. Li D R, Ding L, Shao Z F. Application-oriented real-time remote sensing service technology[J]. National Remote Sensing Bulletin, 2021, 25(1): 15-24.
[8] 李乾瑞,郭俊芳,黄颖,等.基于专利计量的颠覆性技术识别方法研究[J].科学学研究,2021,39(7):1166-1175.Li Q R,Guo J F,Huang Y,et al.Research on the method of disruptive technology identification based on patent bibliometrics[J].Studies in Science of Science,2021,39(7):1166-1175. DOI:10.16192/j.cnki.1003-2053.2021.07.001.
[9] 梁江海,吴集,刘书雷.运用专利计量分析的类脑智能技术评估综述[J].华中科技大学学报(自然科学版),2022,50(2):96-104.Liang J H,Wu J,Liu S L.Brain-inspired intelligence technology review applying patent analysis[J].Journal of Huazhong University of Science and Technology (Natural Science Edition),2022,50(2):96-104. DOI:10.13245/j.hust.220215.
[10] Jung J,Kim S,Yoon B.A data-driven approach to establishing a patent strategy by generating a patent map based on generative topographic mapping[J].Technological Forecasting and Social Change,2025,220:124325. DOI:10.1016/j.techfore.2025.124325.
[11] 杨柳春,武一男.包信和.强化学科战略,实现学术引领,建设高水平科技自立自强[J].中国科学院院刊,2025,40(4):623-627.Yang L C, Wu Y N,Bao X H.Strengthen disciplinary strategies,achieve academic leadership,to build high-level self-reliance in science and technology[J].Bulletin of Chinese Academy of Sciences,2025,40(4):623-627. DOI:10.16418/j.issn.1000-3045.20250412002.
[12] Xie G Q,Wang L H,Williams R A,et al.Segmentation of wood CT images for internal defects detection based on CNN:a comparative study[J].Computers and Electronics in Agriculture,2024,224:109244. DOI:10.1016/j.compag.2024.109244.
[13] 国家林业和草原局. 国家林业和草原局关于促进林业和草原人工智能发展的指导意见[EB/OL]. (2019-11-12)[2026-01-06].https://www.forestry.gov.cn/c/www/gkzfwj/272575.jhtml.
[14] 国家林业和草原局. 推进“天空地”一体化生态感知体系和智慧林草建设[EB/OL]. (2021-10-14)[2026-01-06]. https://www.forestry.gov.cn/main/216/20211014/145623088509054.html.
[15] 中华人民共和国中央人民政府. 中共中央国务院关于进一步深化农村改革扎实推进乡村全面振兴的意见[EB/OL]. (2025-01-01)[2026-01-06]. https://www.gov.cn/zhengce/202502/content_7005158.htm.
[16] 国家林业和草原局.“十五五”国家林草发展规划[N/OL]. (2026-03-16)[2026-05-15].https://www.forestry.gov.cn/c/www/lcdt/663281.jhtml.
[17] 陆元昌. 近自然森林经营的理论与实践[M].北京:科学出版社,2006. Lu Y C.Theory and practice of near-natural forest management[M].Beijing:Science Press,2006.
[18] 葛晓宁,许新桥,张怀清,等.林木基因型-环境互作算法研究进展与思考[J].林业科学,2025,61(3):1-15.Ge X N,Xu X Q,Zhang H Q,et al.Progress and reflection on genotype-environment interaction algorithms in forest tree breeding[J].Scientia Silvae Sinicae,2025,61(3):1-15. DOI:10.11707/j.1001-7488.LYKX20240800.
[19] 中国林学会. 2025年林草人工智能领域十大前沿热点[EB/OL]. (2026-04-16)[2026-05-15]. https://www.csf.org.cn/zhListDetail.html id=126&contentId=60040.
[20] 任紫鑫,郭超英,付江.千年翠云廊,有了数字化保护网[N].四川日报,2025-08-22(1).
[21] 国家林业和草原局. 安徽发布“森林立方”AI模型覆盖林业全场景[EB/OL]. (2026-01-06)[2026-05-15]. https://www.forestry.gov.cn/c/www/dfdt/659123.jhtml.
[22] 边黎明,张慧春.表型技术在林木育种和精确林业上的应用[J].林业科学,2020,56(6):113-126.Bian L M,Zhang H C.Application of phenotyping techniques in forest tree breeding and precision forestry[J].Scientia Silvae Sinicae,2020,56(6):113-126. DOI:10.11707/j.1001-7488.20200612.
[23] 中国林业科学研究院. 智慧林业展区亮相世界林木业大会引领数智赋能林草高质量发展新时代[EB/OL]. (2025-12-02)[2026-05-15]. https://www.caf.ac.cn/info/1254/56272.htm.
[24] 李树涛,李聪妤,康旭东.多源遥感图像融合发展现状与未来展望[J].遥感学报,2021,25(1):148-166.Li S T,Li C Y,Kang X D.Development status and future prospects of multi-source remote sensing image fusion[J].National Remote Sensing Bulletin,2021,25(1):148-166.
[25] Li K W,Xu E Q.Differentiating effects of salvage logging and recovery patterns on post-fire boreal forests in Northeast China using a modified forest disturbance index[J].GIScience & Remote Sensing,2023,60(1):2188674. DOI:10.1080/15481603.2023.2188674.[LinkOut]
[26] Xi Z X,Hopkinson C,Chasmer L.Supervised terrestrial to airborne laser scanner model calibration for 3D individual-tree attribute mapping using deep neural networks[J].ISPRS Journal of Photogrammetry and Remote Sensing,2024,209:324-343. DOI:10.1016/j.isprsjprs.2024.02.010.
[27] 苏文保. 构建全方位守护机制,眉山市给森林装上“最强大脑”[N].四川科技报,2025-11-05(6).
[28] 国家林业和草原局. 我国首个林草行业大模型问世[EB/OL]. (2025-04-17)[2026-05-15]. https://www.forestry.gov.cn/c/www/zhzs/621257.jhtml.
[29] 福建省林业局. 数字化赋能林业高质量发展实施方案[Z]. (2025-07-18)[2026-01-06].https://www.forestry.gov.cn/c/www/dfdt/634686.jhtml.
[30] ]广西壮族自治区人民政府办公厅. 广西深入实施“人工智能+”三年行动方案(2026—2028年)[Z]. (2025-12-27)[2026001006]. . 广西深入实施“人工智能+”三年行动方案(2026—2028年)[Z]. (2025-12-27)[2026001006]. http://www.gxzf.gov.cn/html/zwgk/fzgh/zxgh/t27094468.shtml.
[31] 欧阳志云,王效科,苗鸿.中国陆地生态系统服务功能及其生态经济价值的初步研究[J].生态学报,1999,19(5):607-613. Ouyang Z Y,Wang X K,Miao H.A primary study on Chinese terrestrial ecosystem services and their ecological-economic values[J].Acta Ecologica Sinica,1999,19(5):607-613.
[32] 龚德燕,赵晨萌,孙云洲,等.基于改进RT-DETR的遥感影像林火烟雾检测[J].南京师大学报(自然科学版),2026,49(1):115-124.Gong D Y,Zhao C M,Sun Y Z,et al.Improved RT-DETR for forest fire and smoke detection in remote sensing images[J].Journal of Nanjing Normal University (Natural Science Edition),2026,49(1):115-124. DOI:10.3969/j.issn.1001-4616.2026.01.012.
[33] Lux M D, Silins U, Wagner, M J, et al.Lasting impacts of wildfire retardant on phosphorus storage and downstream transport in a rocky mountain stream[J]. Environmental Science & Technology, 2025, 59(23): 11853-11861.DOI:10.1021/acs.est.5c04555.
[34] Kulicki M,Cabo C,Trzciński T,et al.Artificial intelligence and terrestrial point clouds for forest monitoring[J].Current Forestry Reports,2024,11(1):5. DOI:10.1007/s40725-024-00234-4.
[35] González-Palacio M,González-Palacio L,Aguilar J,et al.WSN-based wildlife localization framework in dense forests through optimization techniques[J].Ad Hoc Networks,2025,173:103815. DOI:10.1016/j.adhoc.2025.103815.
[36] Aronen T,Sota V,Cvjetković B,et al.From lab to forest:overcoming barriers to in vitro propagation of forest trees[J].Journal of Forestry Research,2025,36(1):120. DOI:10.1007/s11676-025-01914-y.
[37] Humphrey P,Harvey C,Visser R.Deploying an early-stage Cyber-Physical System for the implementation of Forestry 4.0 in a New Zealand timber harvesting context[J].IForest - Biogeosciences and Forestry,2024,17(6):353-359. DOI:10.3832/ifor4651-017.
[38] Mohan M,Richardson G,Gopan G,et al.UAV-supported forest regeneration:current trends,challenges and implications[J].Remote Sensing,2021,13(13):2596. DOI:10.3390/rs13132596.
[39] Zurqani H A,Post C J,Mikhailova E A,et al.Evaluating the integrity of forested riparian buffers over a large area using LiDAR data and Google Earth Engine[J].Scientific Reports,2020,10:14096. DOI:10.1038/s41598-020-69743-z.
[40] 蔡文斌,刘丽婷,朱恩永,等.重要水源地林地蓄水效能优化改造方法及优化改造系统:CN202510656537.1[P].2025-08-29.
[41] 高飞,李娜娜,田颖泽,等.一种森林碳储量与碳汇价值监测系统及动态评估方法:CN202310203643.5[P].2023-07-07.
[42] Feng Y,Audy J F.Forestry 4.0:a framework for the forest supply chain toward Industry 4.0[J].Gestão & Produção,2020,27(4):e5677. DOI:10.1590/0104-530x5677-20.
[43] Amoah E I,McCloskey P,Ouedraogo R S,et al.AI-powered measurement verification and reporting system for agroforestry trees to estimate carbon sequestration potential[J].Sustainable Environment,2026,12(1):2607826. DOI:10.1080/27658511.2025.2607826.
[44] Bairakdar R,Boudreault M,Mailhot M.Random forests for wildfire insurance applications[J].Variance,2023,16(2):1-22. DOI:10.66573/001c.81983.
[45] 赵怡然.数字技术赋能全国统一大市场建设的逻辑理路、现实挑战与实践路径[J].贵阳市委党校学报,2026(1):32-39.Zhao Y R.The logical way,realistic challenge and practical path of digital technology empowering the construction of national unified market[J].Journal of the Party School of Guiyang Committee of C.P.C,2026(1):32-39.