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作 者:刘洪彬[1] 吴梦瑶 李顺婷 孙福军[1] 王秋兵[1] 董秀茹[1] LIU Hong-bin;WU Meng-yao;LI Shun-ting;SUN Fu-jun;WANG Qiu-bing;DONG Xiu-ru(College of Land and Environment,Shenyang Agricultural University,Shenyang110866,China)
机构地区:[1]沈阳农业大学土地与环境学院,辽宁沈阳110866
出 处:《土壤通报》2020年第6期1496-1503,共8页Chinese Journal of Soil Science
基 金:国家自然科学基金面上项目(72074153);辽宁省社会科学规划基金项目(L18BJY006);辽宁省经济社会发展研究课题(20201s1ktyb-077);沈阳市青年科技创新人才支持计划项目(RC170180);沈阳市社会科学规划项目(SYSK2018-02-02)等阶段性成果资助。
摘 要:为探究Agent模型在土地利用变化科学领域的国际研究现状、研究热点与发展趋势,对2000~2019年Web of Science数据库中790篇英文文献进行可视化分析,并利用CiteSpace软件,绘制国家、科研机构及作者合作网络、文献共被引、关键词等科学知识图谱。研究结果表明:(1)Agent模型在土地利用变化研究领域的发文量及被引频次整体呈上升趋势,目前处于快速发展期;国家及地区间合作较为密切,集中在欧美发达国家或地区,但科研机构及作者合作网络分散、合作强度低。(2)土地利用变化研究领域知识基础明确,但Agent模型与土地利用变化科学之间理论基础与研究体系有待完善,模型有效性验证方法还需开拓与深化。(3)Agent模型在土地利用变化领域研究内容由浅入深,研究前沿及热点集中于城市用地扩张模拟、农户土地利用行为模拟、政策假设与土地利用预测等。未来应加强国际及科研机构合作研究,完善Agent模型在土地利用变化科学中的建模范式及模型校验方法,拓展Agent模型在土壤环境质量的演变模拟、耕作措施的土壤保育效果预测、陆地生物多样性维护等领域的应用能力。In order to explore the international research status, research hotspots and development trend of Agent model in the field of Land Use Change science, 790 English literatures in Web of Science database from 2000 to 2019 were visually analyzed, and the atlas of scientific knowledge such as cooperation network, literature co-citation and keywords of countries, scientific research institutions and authors was drawn by using CiteSpace software. The results showed that:(1) The number of papers published and cited frequency of Agent model in the field of land use change was on the rise as a whole, and was in a rapid development period. The cooperation between countries and regions was relatively close, and was concentrated in developed countries or regions in Europe and the United States, while the cooperation network of scientific research institutions and authors was scattered and the cooperation intensity was low.(2) The knowledge base of land use change research was clear,while the theoretical basis and research system between Agent model and Land Use Change science needed to be improved, and the model validation method needed to be developed and deepened.(3) The research contents of Agent model in land use change was from simple to deep, and the research frontier and hotspot was focused on the simulation of urban land expansion and farmers’ land use behavior, policy assumptions and land use prediction. In the future, we should strengthen the cooperation between international and scientific research institutions, improve the modeling paradigm and model verification method of Agent model in land use change science, and expand the application ability of Agent model in the field of soil environmental quality evolution simulation, soil conservation effect prediction of tillage measures, and land biodiversity maintenance.
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