基于树轮火疤塔河蒙克山樟子松林火灾的频度分析

大兴安岭地区是我国重要林区,又是林火的多发区,林火是森林生态系统中的重要干扰因子,对整个森林生态系统结构、功能和动态都有重要影响。樟子松为欧洲赤松的一个变种,在我国主要分布于大兴安岭地区。近年来,频繁的森林火灾造成樟子松林大面积减少。因此,重建大兴安岭樟子松林火历史,掌握樟子松林火灾规律已显得十分迫切。在大兴安岭北部塔河县蒙克山林场采集了11棵樟子松火疤圆盘,利用树木年轮年代学方法重建了大兴安岭北部塔河县蒙克山樟子松林的火灾历史,获得1个以树轮年代学为基础的樟子松火疤年表。利用火历史分析软件得到蒙克山樟子松林火灾间隔期和轮回期分别为24.8a和33a。由火疤年表得到的蒙克山樟子松林火灾历史大致可分为3个历史时期:满清中期(1723-1859年)、清末民国时期(1860-1949年)和建国后(1950年至今)。41个火疤记录中早早材火(E)所占比例最大,占全部火疤数目的61%,晚材火(A)、未确定火(U)和休眠季节火(D)则相对较少。大区域性火灾事件平均间隔期为32.5a,最大火灾间隔期为61a。本研究为进一步探究大兴安岭地区寒温带针叶林火灾历史的时间和空间格局及其之间的联系提供了基础数据。     

火干扰因素对藏南地区高山松径向生长及气候响应特征的影响

森林火灾在二十一世纪内的发生频率逐步升高。大量研究发现森林火灾与树木生长之间存在有紧密的相关性。因此探究森林火灾对于树木生长的影响,分析火灾的不同强度对于树木径向生长是否有着显著的差异,将对于评估森林保护指标有着重要的实际意义。实验基于树木年轮学的研究方法,探究西藏林芝市本日山及九五六两场森林火灾对高山松径向生长的影响,分析在火灾前后高山松径向生长与气温及降水之间的响应关系。基于林芝市比日山及九五六两个火烧区域,建立了受轻度火影响和受中度火影响的高山松样地。利用树木年代学的方法,对年轮宽度指数与1961-2020年气温及降水分别进行相关分析,同时结合火灾的发生时间,将时间序列划分为:1961-2006年火灾前和2007-2021年火灾后。结果显示, 轻度火影响的高山松径向生长对气温和降水敏感,特别是在3-8月最高气温上呈现出显著性的增加。中度火影响的高山松径向生长则显著降低。火灾干扰明显抑制了高山松的径向生长,特别是火因子在平均气温和最高气温的干扰上对其径向生长具有明显抑制作用。受到轻度火影响的高山松径向生长在短期内有较为明显的增加趋势,但长期并不显著;而中度火影响的树木径向生长则在短期内不明显下降,但长期显著。受到轻度火影响的高山松中,其径向生长与最低气温之间呈显著的负相关,且使得高山松对外界环境的响应更为敏感,而中度火影响的高山松则并未表现出这种显著的响应状态。因此对于在高海拔地区而言,森林火灾对于树木径向生长有着显著的干扰的同时也提升树木与外界环境的响应程度。     

不同植被类型森林火灾及雷击火自组织临界性

利用黑龙江省大兴安岭林区呼中区 196 5～ 2 0 0 2年的雷击火数据、黑龙江省 1981～ 2 0 0 0年森林火灾数据及森林资源数据 ,对雷击造成的森林火灾的自组织临界性及不同植被类型条件下的自组织临界性作了研究 ,比较了在不同尺度和植被类型条件下火干扰的自组织临界性、自相似性 ,并与传统的森林火灾元胞自动机模型模拟的结果进行比较。结果表明 :中国黑龙江省不同森林类型的火干扰具有自组织临界行为 ,森林可燃物已经达到临界状态 ,其临界值在 1.8～ 2 .86之间 ,具有自相似性 ;当森林的面积过小时 ,森林火灾的“面积 -频率”分布曲线上会出现频率峰 ,表现出“有限面积效应”现象。     

火干扰对森林土壤斥水性的影响研究进展

土壤斥水性是指水分不能或很难湿润土壤颗粒表面的现象,很多植被类型及气候带森林存在土壤斥水性。土壤斥水性受水分、温度、干湿交替、土壤质地、植被类型等生物和非生物因子的影响。而火干扰是森林生态系统土壤斥水性的重要影响因子,使森林土壤斥水性增强,渗透率降低,地表截留体减少,从而增加地表径流和土壤侵蚀。就火干扰对土壤斥水性的发生机理及其对水文过程的影响进行了较为全面的总结和讨论,并指出目前存在的问题和未来的研究重点。森林火灾后火烧迹地地表径流和土壤侵蚀显著增加,定量预测火灾后土壤斥水性对径流与侵蚀的影响比较困难,因此,基于不同尺度和自然降雨的火灾后斥水性对地表径流和土壤侵蚀的实验及长期定位观测是今后的研究方向与重点。     

北京房山东甘池15000年以来炭屑分析及对火发生可能性的探讨

火是森林和草原生态系统的重要因子。本文通过北京房山东甘池１５０００ａＢ．Ｐ．沉积物的炭屑、孢粉及烧失量（ＬＯＩ）的分析,试图讨论北京地区１５０００ａＢ．Ｐ以来火发生的可能性,提出火与植被中某些成分的相互关系及影响火发生的一些因素,同时结合考古和历史地理资料说明人类活动引起火灾的情形和程度。     

树木年轮火历史研究进展

树木年轮火灾学作为树木年轮学和林火生态学的一个重要交叉学科, 主要利用树轮火疤准确确定火灾发生年代, 从而研究过去和现在的火灾变化规律。树轮火灾学以其定年准确、分辨率高和时间久远等特点在森林火灾研究中具有极其重要的作用。该文对树木年轮火历史国内外 研究现状进行了简要评述, 国内树木年轮火历史研究尚处在起步阶段, 国外树木年轮火历史研究主要集中在以下几个方面:1) 火历史的时空格局特征, 主要包括林火发生的时间间隔、空间范围、强度、林火发生的时空关联、林火发生与立地条件的关系、林火发生与物种演替以及树轮火疤与其他方法相结合的火灾判 断等内容;2) 火灾历史与全球气候变化的关系, 主要包括火灾与温度和降水关系, 如一般在当年干旱而前几年相对湿润时火灾发生;火灾发生与大尺度气候事件也有一定的关联, 火灾一般发生在厄尔尼诺 (ElNiño) 向拉尼娜 (LaNiña) 转换的年代, 而且相位组合比单个事件更容易引发火灾;3) 火历史与人为活动及土地利用的关系, 战争和人口增加容易引发火灾, 而放牧活动却降低火灾发生频率, 20世纪以来的森林火抑制降低了火灾发生频率却增加了大火发生的可能性。最后对树木年轮火历史的未来进行了展望, 主要包括火灾时空格局的尺度效应、火历史变化的气候与人为驱动机制以及火历史研究方法的拓展等内容。     

北京房山东甘池15000年以来岩屑分析及对火发生可能性的探讨

 火是森林和草原生态系统的重要因子。本文通过北京房山东甘池15000aB.P．沉积物的炭屑、孢粉及烧失量(LOI)的分析,试图讨论北京地区15000aB.P以来火发生的可能性,提出火与植被中某些成分的相互关系及影响火发生的一些因素,同时结合考古和历史地理资料说明人类活动引起火灾的情形和程度。     

大兴安岭北部地区原始林火干扰历史的研究

在大兴安岭阿龙山林业局的一个集水区,通过样地法（９６个样地）,调查了大量的火疤木,研究了景观水平上的火状况。结果表明,由１８２５至１９９３年间样区共发生１４次火灾,火烧种类主要是地表火,但也有少量树冠火;火烧强度主要为弱度火;火场面积通常很大;火烧平均间隔期为３７ａ,火烧轮回期的约３０ａ。这些指标对大于大兴安岭北部林区有一定的代表意义。大兴安岭北部林区的火状况主要决定于兴安落叶松的抗火特性和森林群     

火对森林主要生态系统过程的影响

火及火生态学是当代生态系统生态学研究最为深入的领域之一.理解火生态效应及其基本原理,对降低野火灾害并适当利用火作为一种有效管理手段起着关键的作用.本文介绍了目前火对若干具倾火性的生态系统（尤其是位于北美的寒温带及温带森林生态系统）影响的研究进展,并着重论述了火作为一种主导性的力量在植被动态、养分循环、土壤及水分关系的紧密关联过程中所起的作用.火通过以下主要过程影响生态系统的组成、结构和功能,即选择性地保留和去除物种,释放贮于生物量中的养分且增进其循环,藉改变土壤微生物活动及水分关系等影响土壤性能,并形成异质的时空环境镶嵌格局,而这些变化反过来又进一步影响火行为及其生态效应.火作为一种毁灭性的力量能迅速消耗大量生物量,并导致继后的土壤侵蚀、水土流失和空气污染等负面影响;但火作为一种建设性力量,对维持一些对火有依赖性的生态系统的健康及持续具有极重要的作用.考虑到火在生态系统过程中的独特调节作用,火应被视为生态系统及其管理中有机组分之一.火对生态系统的影响取决于火情势（包括火发生的季节、规模大小、频率及强度等）、植被类型、气候条件、物理环境及评价所用的时空尺度.未来有必要加强有关火对一些特定生态系统的作用研究,尤其是基于长期试验性的监测和模型来研究火对生态系统时空变化的影响.     

梨树县实现连续三十三年无重大森林火灾工作的说明

有效保护森林资源,森林火灾的控制率始终保持0.3‰以下,森林火案查处率始终保持95%以上,也有效保护了生态环境,对维护生态系统平衡,保护生物多样性,做出了突出贡献。有效维护林区公共安全,取得了巨大社会效益。     

Recent fire regime characteristics and potential natural vegetation relationships in Spain

Abstract. In heavily altered landscapes, where vegetation is not natural and where people are the main source of ignitions, relationships between fire occurrence and climate conditions may be unclear. The objective of this study was to evaluate to what extent territories with similar Potential Natural Vegetation (PNV) in peninsular Spain differ in their forest fire characteristics. From 1974 to 1994, more than 174 000 fires occurred. We used (1) the Spanish data base of forest fires, (2) a PNV map and (3) a land use map. Separate fire characteristics, based either on the number of fires occurred or the area burned, were obtained for each of the ca. 5000 grid‐cells (10 km × 10 km) into which peninsular Spain is divided in the UTM projection. Also, meteorological conditions at the time of fire ignition, cause of ignition and present forest cover were referred to the same grid‐cells as external factors potentially determinant of fire occurrence. The relationships between fire regime characteristics and PNV units were explored with Principal Components Analysis (PCA). The role of the three sets of external factors in the fire characteristics was evaluated with Redundancy Analysis (RDA). Groups of similar PNV types were clearly segregated, suggesting a gradient of fire characteristics. Higher fire incidence (higher frequencies and spatial incidence of fires, but lower proportions of grid‐cells affected by large fires) was associated with Atlantic, warm territories with deciduous forests as PNV. Intermediate fire frequency and rotation period, but with a higher relative incidence of medium and large fires occurred in Mediterranean PNV units, dominated by sclerophyllous oak forests. Low fire frequency and long rotation periods, with strong seasonal and yearly variability occurred for PNV units in the cold uplands (Fagus, Pinus, Abies, Juniperus) or in the semi‐arid, shrubby PNV units. The cause of ignition best explained the patterns of forest fire characteristics, followed by weather conditions. Our results indicate that, even in human influenced regions, climate and soil conditions exert control on the resulting forest fire characteristics, as indicated by the high segregation of the PNV types. However, the role of man was crucial in shifting the patterns of fire incidence. This was so that highest fire incidence occurred in regions that, otherwise, would be expected to have a much lower one, thus posing a serious threat for such areas. PNV maps, by providing a phytogeographical framework for characterizing forest fires, could be valuable tools for applying research results to forest fire management policies, taking properly into account the underlying determinant factors.     

Forest Fire in Early Holocene Forest Changes at Lake Barrine,Australia

Fire is one of major factors in forest ecosystem. This paper presents results of charcoal and pollen analysis on Early Holocene sediments in Lake Barrine, Australia. Time series analysis and mathematical modeling were used to infer patterns of forest fire, relationship between fire and major vegetation elements and the roles forest fire played in forest changes. The analysis shows that in Early Holocene fire frequencies in this area decreased from one major fire in less than 50 years in the early Eucalyptus forest stage (zone S1) to one in 230 years in the later stage (zone S2). After the establishment of rainforest, fire activities were much weaker. The effects of fire on three major elements of Eucalyptus forest varied according to their different fire adaptive traits. In process of the change from Eucalyptus, forest to rainforest, fire protected-the former and delayed.the establishment of the later.     

An application of plant functional types to fire management in a conservation reserve in southeastern Australia

Abstract. The vital attribute system of Noble & Slatyer (1980) was used to classify the fire‐prone flora of Brisbane Water National Park (New South Wales, Australia) into plant functional types (PFTs), reflecting sensitivity to fire frequency (intervals between fire). A variety of information was used to assess the vital attributes of species in the predominant woodland/open‐forest vegetation within the Park. This was sufficient to allocate 54% of the species to functional types. Ca. 20% of the species belonged to PFTs defined as sensitive to either frequent or infrequent fire (e.g. obligate seeder types). Varied methods, based on the nature and quality of data were used to estimate juvenile periods and life spans among species in these types, however the estimates derived in each case were similar. On this basis, a domain of ‘acceptable’ fire intervals (7 to 30 yr) was derived for the woodland/open‐forest vegetation. Given the overall proportion of species considered, plus congruence between differing methods and sources of data, this domain was relatively robust. A landscape analysis using the domain indicated that the current trend in fire intervals, across the Park, may be adverse to floristic conservation.     

Simulating the effects of future fire regimes on western Canadian boreal forests

Abstract. Effects of future fire regimes on boreal tree species and plant functional types were studied in W Canada using a simulation approach. Present (1975–1990) and future (2080–2100) fire regimes were simulated using data from the Canadian Global Coupled Model (CGCM1). The long‐term effects of these fire regimes were simulated using a stand level, boreal fire effects model (BORFIRE) developed for this study. Changes in forest composition and biomass storage due to future altered fire regimes were determined by comparing the effects of present and future fire regimes on forest stands over a 400‐yr period. Differences in the two scenarios after 400 yr indicate shifting trends in forest composition and biomass that can be expected as a result of future changes in the fire regime. The ecological impacts of altered fire regimes are discussed in terms of general plant functional types. The Canadian Global Coupled Model showed more severe burning conditions under future fire regimes including fires with greater intensity, greater depth of burn and greater total fuel consumption. Shorter fire cycles estimated for the future generally favoured species which resprout (fire endurers) or store seed (fire evaders). Species with no direct fire survival traits (fire avoiders) declined under shorter fire cycles. The moderately thick barked trait of fire resisters provided little additional advantage in crown fire dominated boreal forests. Many species represent PFTs with multiple fire survival traits. The fire evader and avoider PFT was adaptable to the widest range of fire cycles. There was a general increase in biomass storage under the simulated future fire regimes caused by a shift in species composition towards fast‐growing re‐sprouting species. Long‐term biomass storage was lower in fire exclusion simulations because some stands were unable to reproduce in the absence of fire.     

Biodiversity and resilience of arthropod communities after fire disturbance in temperate forests

Changes in ecosystem functions following disturbances are of central concern in ecology and a challenge for ecologists is to understand the factors that affect the resilience of community structures and ecosystem functions. In many forest ecosystems, one such important natural disturbance is fire. The aim of this study was to understand the variation of resilience in six functional groups of invertebrates in response to different fire frequencies in southern Switzerland. We measured resilience by analysing arthropod species composition, abundance and diversity in plots where the elapsed time after single or repeated fires, as determined by dendrochronology, varied. We compared data from these plots with data from plots that had not burned recently and defined high resilience as the rapid recovery of the species composition to that prior to fire. Pooling all functional groups showed that they were more resilient to single fires than to repeated events, recovering 6–14 years after a single fire, but only 17–24 years after the last of several fires. Flying zoophagous and phytophagous arthropods were the most resilient groups. Pollinophagous and epigaeic zoophagous species showed intermediate resilience, while ground-litter saprophagous and saproxylophagous arthropods clearly displayed the lowest resilience to fire. Their species composition 17–24 years post-burn still differed markedly from that of the unburned control plots. Depending on the fire history of a forest plot, we found significant differences in the dominance hierarchy among invertebrate species. Any attempt to imitate natural disturbances, such as fire, through forest management must take into account the recovery times of biodiversity, including functional group composition, to ensure the conservation of multiple taxa and ecosystem functions in a sustainable manner.Electronic Supplementary Material Supplementary material is available to authorised users in the online version of this article at .     

Post‐fire succession and 20th century reduction in fire frequency on xeric southern Appalachian sites

Abstract. We document post‐fire succession on xeric sites in the southern Appalachian Mountains, USA and assess effects of 20th century reduction in fire frequency on vegetation structure and composition. Successional studies over 18 yr on permanent plots that had burned in 1976–1977 indicate that tree mortality and vegetation response varied with fuel load and fire season. In the first three years after fire, hardwood sprouts dominated tree regeneration. On sites where summer and autumn fires reduced litter depth to less than 1 cm, densities of shade‐intolerant Pinus seedlings increased steadily over this period. 4 to 8 yr after fire, large numbers of newly established seedlings and sprouts had grown to 1 – 10 cm DBH. By year 18 growth of these saplings led to canopy closure on most sites. Herbaceous cover and richness peaked in the first decade after fire, then declined. On similar sites that had not burned in more than 50 yr, regeneration of shade‐intolerant Pinus spp. and mean cover and richness of herbs were considerably lower than those observed on recently burned plots. Reconstructions of landscape conditions based on observed post‐fire succession and 20th century changes in fire regime suggest that reductions in fire frequency circa 1940 led to substantial changes in forest structure and decreases in cover and richness of herbaceous species.     

Forest fire in the central Himalaya: climate and recovery of trees

 A forest fire event is influenced by climatic conditions and is supported by accumulation of fuel on forest floor. After forest fire, photosynthetically active solar radiation was reduced due to accumulation of ash and dust particles in atmosphere. Post-fire impacts on Quercus leucotrichophora, Rhododendron arboreum and Lyonia ovalifolia in a broadleaf forest were analysed after a wild fire. Bark depth damage was greatest for L. ovalifolia and least for Q. leucotrichophora. Regeneration of saplings was observed for all the tree species through sprouting. Epicormic recovery was observed for the trees of all the species. Young trees of Q. leucotrichophora (<40 cm circumference at breast height) were susceptible to fire as evident by the lack of sprouting. Under-canopy tree species have a high potential for recovery as evident by greater length and diameter of shoots and numbers of buds and leaves per shoot than canopy species. Leaf area, leaf moisture and specific leaf area were greater in the deciduous species, with few exceptions, than in evergreen species. Received: 26 July 1995 / Revised: 1 March 1996 / Accepted: 9 September 1996     

Between classical and ideal: enhancing wildland fire prediction using cluster computing

One of the challenges still open to wildland fire simulators is the capacity of working under real-time constrains with the aim of providing fire spread predictions that could be useful in fire mitigation interventions. We propose going one step beyond the classical wildland fire prediction by linking evolutionary optimization strategies to the traditional scheme with the aim of emulating an “ideal” fire propagation model as much as possible. In order to accelerate the fire prediction, this enhanced prediction scheme has been developed in a fashion on a Linux cluster using MPI. Furthermore, a sensitivity analysis has been carried out to determine the input parameters that we can fix to their typical values in order to reduce the search-space involved in the optimization process and, therefore, accelerates the whole prediction strategy. Baker Abdalhaq received the BSc. Computer Science from Princess Sumaya University College, Royal JordanianSocieaty, Amman Jordania in 1993. In 2001 and 2004, he got the MSc and PhD in Computer Science from Universitat Autónoma de Barcelona (UAB), respectively. His main research interest is focused on parallel fire simulation and, in particular, how to take advantage of the computational power provided for massively distributed systems to enhance wildland fire prediction. Ana Cortés received both her first degree and her PhD in Computer Science from the Universitat Autonoma de Barcelona (UAB), Spain, in 1990 and 2000, respectively. She is currently assistant professor of Computer Science at the UAB, where she is a member of the Computer Architecture and Operating Systems Group at the Computer Science Department. Her current research interests concern software support for parallel and distributed computing including algorithms and software tools for the load-balancing of parallel programs. She has also been working on enhancing wildland fire prediction by exploiting parallel/distributed systems. Tomàs Margalef got a BS degree in physics in 1988 from Universitat Autónoma de Barcelona (UAB). In 1990 he obtained the MSc in Computer Science and in 1993 the PhD in Computer Science from UAB. Since 1988 he has been working in several aspects related to parallel and distributed computing. Currently, his research interests focuses on development of high performance applications, automatic performance analysis and dynamic performance tuning. Since 1997 he has been working on exploiting parallel/distributed processing to accelerate and improve the prediction of forest fire propagation. He is an ACM member. Germán Bianchini received the BSc. Computer Science from Universidad Nacional Del Comahue, Argentina, in 2002. In 2004 and 2006, he got the MSc and PhD in Computer Science from Universitat Autónoma de Barcelona (UAB), respectively. His main research interest is focused on parallel fire simulation and, in particular, how to take advantage of the computational power provided for massively distributed systems to enhance wildland fire prediction. Emilio Luque received the Licenciate in physics and PhD degrees from the University Complutense of Madrid (UCM) in 1968 and 1973 respectively. Between 1973 and 1976 he was an associate professor at the UCM. Since 1976 he is a professor of “Computer Architecture and Technology” at the University Autonoma of Barcelona (UAB), where he is leading the Computer Architecture and Operating System (CAOS) Group at the Computer Science Department. Professor Luque has been the Computer Science Department chairman for more than 10 years. He has been invited lecturer/researcher in Universities of USA, Argentina, Brazil, Poland, Ireland, Cuba, Italy, Germany and PR of China. He has published more than 35 papers in technical journals and more than 100 papers at international conferences and his current/major research areas are: computer architecture, interconnection networks, task scheduling in parallel systems, parallel and distributed simulation environments, environment and programming tools for automatic performance tuning in parallel systems, cluster and Grid computing, parallel computing for environmental applications (forest fire simulation, forest monitoring) and distributed video on demand (VoD) systems.     

Tree diversity,composition, forest structure and aboveground biomass dynamics after single and repeated fire in a Bornean rain forest

Forest fires remain a devastating phenomenon in the tropics that not only affect forest structure and biodiversity, but also contribute significantly to atmospheric CO2. Fire used to be extremely rare in tropical forests, leaving ample time for forests to regenerate to pre-fire conditions. In recent decades, however, tropical forest fires occur more frequently and at larger spatial scales than they used to. We studied forest structure, tree species diversity, tree species composition, and aboveground biomass during the first 7 years since fire in unburned, once burned and twice burned forest of eastern Borneo to determine the rate of recovery of these forests. We paid special attention to changes in the tree species composition during burned forest regeneration because we expect the long-term recovery of aboveground biomass and ecosystem functions in burned forests to largely depend on the successful regeneration of the pre-fire, heavy-wood, species composition. We found that forest structure (canopy openness, leaf area index, herb cover, and stem density) is strongly affected by fire but shows quick recovery. However, species composition shows no or limited recovery and aboveground biomass, which is greatly reduced by fire, continues to be low or decline up to 7 years after fire. Consequently, large amounts of the C released to the atmosphere by fire will not be recaptured by the burned forest ecosystem in the near future. We also observed that repeated fire, with an inter-fire interval of 15 years, does not necessarily lead to a huge deterioration in the regeneration potential of tropical forest. We conclude that burned forests are valuable and should be conserved and that long-term monitoring programs in secondary forests are necessary to determine their recovery rates, especially in relation to aboveground biomass accumulation.     

Assessment of forest recovery at Wu-Ling fire scars in Taiwan using multi-temporal Landsat imagery

Normalized Burn Ratio (NBR), a satellite-derived index widely used to map the burned area and to assess burn severity level, was reconceptualized to propose the indices of post-fire recovery condition and resilience. Time series Landsat imagery during 1994–2015 were used to observe the forest recovery of Wu-Ling fire scars in Taiwan. Burn Recovery Ratio (BRR) was newly developed as the indicator to better clarify the forest recovery status. Results show that BRR coupled with dNBR (bi-temporal NBR) could quantitatively describe the level of forest recovery through the heterogeneity of forest landscape which is confirmed by field investigation. Time of complete recovery (t_c), indicator of post-fire resilience, were predicted using curve-fitting of forest recovery trajectories to the exponential decay function. The spatial distribution of t_c could reveal the patterns of post-fire recovery across the fire scars. For wildfire prevention, the issue of fire recurrence should be concerned at the areas of fire-adapted species with low t_c value. For areas of deterioration sites with high t_c value, the rehabilitation project should be implemented to accelerate forest restoration.