中文摘要：

耕地集约化是社会经济发展、土地面积约束、人口增长与技术进步等压力作用下人类土地利用的必然选择。作者在论文中从耕地集约化、农业可持续利用、生态保护及粮食安全的互动框架切入,对现有耕地集约化评价指标体系进行了系统梳理,构建了基于互动框架的耕地集约化评价指标体系,并对现有技术、方法及相关成果分别评述,提出了下一步的研究要点及发展方向。研究认为耕地集约化、农业可持续、生态环境及粮食安全之间主要存在正负双重及互相促进作用。目前评价指标体系主要从频度、投入、产出、潜力、增产、综合指标体系、集约度及能值等多个方面考虑。基于互动框架的耕地集约化评价指标体系包括地均劳动力投入、地均化肥、农药投入及灌溉指数等基本指标,粮食安全系数、非农指数和人均耕地面积等表征农业可持续的指标,地下水矿化度、生物多样性和碳排放等影响生态保护的指标,以及复种指数、稳产指数、粮食单产和地均产值等与粮食安全密切的指标;具体评价时还需依据不同研究区、研究尺度进行针对性选择和修订。研究方法中,频度指标是遥感技术在耕地集约化领域的重点关注热点之一;潜力指标以模型模拟为主;增产指标中,产量差研究成果丰富,收获面积差所受关注较少;集约度综合测度模型也是较为常用的方法。此外,还可引入其他相关成果开展评价。今后耕地集约化指标类型呈多样化态势,需推动新方法与新技术手段的综合集成。

英文摘要：

Arable land intensification is a necessary choice to face the multiple pressure of socio-economic development, limits of land use quantity, population growth and technology improvement. Started with the interactive framework among arable land intensification, agricultural sustainable utilization, ecological protection and grain security, this paper summarized the current indicator system of arable land intensification, proposed the evaluation index system of intensive cultivated land use based on interactive framework, and reviewed the existing technology, method and their related achievements. Based on above analysis, the next hotspot and development trend of future study were proposed. The result showed that arable land intensification, agricultural sustainable utilization, ecologic-environment and grain security play a role of mutual improvement mainly or with the dual influence of positive or negative. The current indicator system of arable land intensification can be considered mainly in different view of frequency indices, input indices, output indices, potential indices, gap indices, comprehensive indices, intensity indices, energy indices, etc. The evaluation index system of intensive cultivated land use based on interactive framework included some basic indexes such as the average labor input, average fertilizer input, average pesticide input, irrigation index, etc. Indexes which affecting agricultural sustainable utilization mainly included food security factor, non-farming index, cultivated land area per capita, etc. And indexes strongly correlated with grain safety included multiple cropping index, stable production index, grain yield per hectare, per-cultivated land production, etc. Nevertheless, the further choice and revision of the indexes should be considered according to the different study region and scale in specific condition. Within all the research method relating those indices, the paper found that frequency indices were the hotspot of remote sensing focused on arable land intensification.