摘要
智慧林业是现代林业发展的重要方向,受到全球学者的广泛关注。基于IUFRO第26届世界大会的文本资料,利用python进行文本分析,分别从自然科学和社会科学视角,总结目前智慧林业领域研究热点和前沿问题。研究发现:(1)智慧林业研究聚焦数字化和智能化,实现森林的近实时、多尺度监测,评估生物多样性、森林健康、生态服务和碳储量等,利用智慧决策支持系统,提升决策质量和执行效率;(2)智慧林业不仅仅是技术的应用,更关注技术如何在提高效率、确保公平和制定合理政策中发挥作用;(3)智慧林业的未来研究和实践应更加重视跨学科的合作,确保技术的高效应用和社会经济效益的最大化。
⑴Background——With rapid population growth,there is an increasing demand for diverse forest products and ecosystem services.Global climate change exacerbates risks and uncertainties in forestry systems.However,digital and smart technologies are recognized as the driving forces of the innovative economy and sustainable development,with great potential to change the future direction of forestry systems.The 26th world congress of the International Union of Forest Research Organizations(IUFRO)is the largest and most influential forestry academic event,and smart forestry is one of the current frontier research fields of forestry.⑵Methods——According to the concept,characteristics,connotation and extension of smart forestry,the related issues of smart forestry were selected from the conference agenda of the 26th World Congress of IUFRO,and the text data set was extracted as the research basis of this paper.The python was used as the main tool to analyze the text data set,the specific process is:First,import the necessary libraries;Second,preprocess the text data,remove the stop words and punctuation marks,and eliminate the words with too high frequency and low analytical value such as“forest”,“forestry”and“trees”combined with the research theme;Third,the term frequency-inverse document frequency(TF-IDF)values of the text were calculated,and the highest values were used to generate word cloud maps or the heatmap functions were used to draw heat maps.Finally,it further analyzed the frontier issues of smart forestry research from the perspectives of natural science and social science.⑶Results——From the perspective of natural science,the research of smart forestry mainly focuses on two aspects:one is digitalization,that is,achieve the near-real-time,multi-scale and all-round forest monitoring through the application of digital technologies such as remote sensing.The other is intelligentization,that is,the intelligent decision support system helps solve the problems of forest resource management such as multi-objective management decision-making,complex decision-making and multi-stakeholder decision-making.From the perspective of social science,the research of smart forestry mainly focuses on three aspects:efficiency,equity and policy.In terms of efficiency,it includes the digitally literate labour forces in the future,modern forest operations,and AI-enabled decision-making.In terms of equity,it includes gender equality in the forestry sectors,forest voice on digital platforms,and bridging the digital divide in forest governance.In terms of policy,it mainly includes global forest governance and international cooperation.⑷Conclusions and Discussions——The development of global smart forestry has important practical significance:while making full use of digital monitoring technology and intelligent decision support system,it can achieve the integration of efficiency,equity and policy.In addition,the technology application and policy innovation of smart forestry not only provide a useful reference for the development of Chinese forestry,but also promote the technical cooperation,technology sharing and policy dialogue in the field of smart forestry among countries around the world.The Strategies to meet the challenges of smart forestry research include:promoting the standardization and interoperability of technologies,rapidly updating the research methods and techniques,effectively acquiring and processing big data,and improving the application of research results.Future research on the smart forestry can focus on three key areas:innovation and diffusion of technology,deepening of multidisciplinary research,and strengthening of policy and global cooperation.
作者
曹玉昆
张亚芳
任月
刘嘉琦
CAO Yukun;ZHANG Yafang;REN Yue;LIU Jiaqi(College of Economics and Management,Northeast Forestry University,Harbin 150040,China)
出处
《林业经济问题》
北大核心
2024年第5期449-460,共12页
Issues of Forestry Economics
基金
国家社会科学基金青年项目(23CGL063)
黑龙江省博士后面上项目(LBH-Z23052)
国家资助博士后研究人员计划(GZC20240232)
中央高校基本科研业务费专项资金项目(2572024DZ03)。
关键词
智慧林业
数字技术
数字化
智能化
IUFRO
smart forestry
digital technology
digitalization
intelligentization
IUFRO