中文摘要：

历史变域概念产生于20世纪90年代,是森林生态系统管理的重要概念之一,可以为生态系统管理提供参考和目标。总结了历史变域领域近期的研究热点：火烧的历史变域研究从定量化火烧特征开始,进而探讨火烧特征的影响因素,并且从火烧特征的单一影响因素向多影响因素、从单一尺度向多时空尺度研究发展;森林景观历史变域研究由描述景观的单一结构特征深入到揭示综合结构特征及功能特征。方法的新进展包括：评估历史数据的误差、探索采样和数据分析方法、重视火疤木数据的多时空特征、以及发掘整合多种来源的历史数据。模拟自然干扰的森林管理是历史变域概念的重要应用之一,最近的研究集中在为森林管理提供更加全面的模拟自然干扰的干扰参数,并且强调这些参数的空间异质性;同时,该管理模式也面临挑战和质疑：气候变化条件下历史变域的概念是否仍旧适用？森林管理是否能够真正达到自然干扰的效果？分析了我国的研究现状,提出发展建议。

英文摘要：

The concept of historical range of variability （HRV） was initiated and developed by many ecologists for ecosystems management in 1990s, providing reference and goal conditions for managed forest ecosystems. The past decade has seen an increasing interest in forest management based on historical or natural disturbance dynamics. This review summarizes the recent trends in theories, methods and applications. The researches focused on initially characterizing historical fire regime indicated by frequent and low-intensity fire occurrence, and later analyzing impacted factors of fire regime involving topography, elevation and fuel loading etc.. Recently, more attention has been paid to natural characteristics of forest ecosystem at multiple spatial and temporal scales instead of a certain single scale in understanding the historical fire regime. The climate change creates up-bottom controls but the topography does bottom-up controls on fire spread. Meanwhile, the historical landscape dynamic has been investigated by more indicators in structure and even function instead of single structural indicator. Generally, the long-term unreasonable management moves the landscape away from the HRV and it required long time to toward and reach HRV. Methodologically, Scientists focus on the evaluation of errors in historical data, especially those data of Public Land Survey （PLS） used widely in estimating HRV in North American, novel methods for sampling or analyzing and multiple-scale characters of fire scar data. Also, they seek for the multiple historical data resources to better reconstruct the landscape dynamic. Practically, Natural Disturbance Emulation （NDE） is considered as one of important applications of HRV in forest ecosystem management and the research about NDE has been improved to the more precise emulation in multiple parameters including frequency, intensity and size of disturbance. Additionally, the heterogeneity of HRV is emphasized in emulating the natural disturbance, meaning varying historical para