基于GIS的大兴安岭森林火险区划

以黑龙江省大兴安岭图强林业局育英林场和奋斗林场为研究区,以GIS技术为支撑,选取植被类型、海拔、坡度、坡向和离居住区远近作为主要林火影响因子,采用因子加权叠置法,对研究区森林火险情况进行了定量评价,将火险等级分为无、低、中、高和极高5类.结果表明,无、低、中、高和极高火险区分别占研究区的0.37%、0.63%、38.67%、58.63%和1.70%,符合正态分布;中及以上火险区占60.33%,说明研究区森林火灾管理任务仍相当繁重;森林火险等级的地域分异明显,中部高四周低,在不同林火影响因子上的分异十分明显;火险等级与1987年的火烧强度具有较强的一致性,说明火险区划结果具有较高的可靠性,可为林业部门进行森林火灾管理提供有价值的参考.     

Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region

This study proposed an integrated approach to generating a forest fire risk map. It used geographic information system–based multiple criteria decision analysis (GIS-MCDA) with the analytic hierarchy process (AHP) and a statistical index (SI). The research was carried out at the Mersin Regional Directorate of Forestry (RDF) in the eastern Mediterranean region of Turkey. Four main criteria, the forest structure, topography, environment, and climate, and 16 subcriteria were used to create the fire risk map. The weight of each criterion was determined using the AHP. The AHP model revealed that environmental factors are the most influential in igniting forest fires, followed by the forest structure. In order to evaluate the results, 990 historical forest fire ignition points were obtained from the Mersin RDF. According to the forest fire risk map, more than 85% of the ignition points were in areas classified as having an extreme or high risk for forest fires. The findings show that the study area is highly prone to forest fires. The relative operating characteristic curve and area under the curve were used to validate the accuracy of the fire risk map. This validation revealed a very high accuracy of 0.775 for the AHP model, indicating a high accuracy in forest fire risk mapping, and the map produced was consistent and reliable. The AHP model and its results will assist decision makers in taking necessary precautions to prevent forest fires and to minimize fire damage, particularly in the eastern Mediterranean region.     

我国北方针叶林人为火发生的预测模型

我国北方针叶林带是重要的森林资源储藏地,也是林火发生的重灾区,其自然火和人为火所占比例相当. 气象因子、地形特征、植被条件、人为基础设施等因素对人为火发生具有显著影响,国内目前应用空间分析技术对北方针叶林带人为火影响因子的研究还存在一定不确定性. 本文基于1974—2009年间人为火的空间地理坐标,结合研究地的气象因子、基础地理信息及矢量化林相图,应用ArcGIS 10.0中的空间分析工具和SPSS 19.0的逻辑斯蒂回归模型对影响人为火发生的主要驱动因子进行分析,并建立人为火发生的概率模型. 利用HADCM2模式下研究区域未来气象数据对塔河地区2015年人为火发生情况进行计算.结果表明： 距离铁路距离（x₁）和平均相对湿度（x₂）对研究区域人为火发生具有显著影响,并得到火险概率模型P=1/［1+e^{-(3.026-0.00011x1-0.047x₂)}］. 模型校验结果显示,模型的准确度可达到80%.林火发生预测结果表明,塔河地区2015年 4—6月、8月为人为火高发期,其中,4—5月的林火发生概率最高.从火险空间分布来看,高火险主要集中在塔河西部和西南部,铁路线路主要包含在此区域.     

Remote sensing approach to detect post-fire vegetation regrowth in Siberian boreal larch forest

Remote sensing with time series data offers considerable potential in the trajectory of post forest fire dynamics beyond the current monitoring of structural attributes that are displayed in the post-fire area. Many studies have addressed this topic by using time series remote sensing indices; however, this approach has sometimes been demonstrated as an unrealistic and biased representation of the post-fire forest patterns due to the saturation issues of vegetation indices. These saturation issues then lead to an underestimation of the forest successional stages and an overestimation of the forest recovery rate. This paper aims to develop a framework for trajectory of the post-fire forest patterns in the Siberian boreal larch forest (Larix sibirica) with the synergistic use of different remote sensing based vegetation-cover indicators derived from the Landsat time series and the WorldView-2 images. A time-series of the forest recovery index (FRI) and fractional vegetation cover (FVC) has been analyzed to estimate the rates of forest regeneration and vegetation recovery across different burn severity levels in the Siberian larch forest. The results showed that the FRI method can be used to observe the regrowth of the larch forest from the tenth year after the fire overlapping with the period of significant increase in the sapling stem volume. The post-fire larch forest canopy can fully recover to the pre-fire condition with respect to the magnitude of the FRI values after 30–47 years where the highest regeneration rate was observed in the moderate burn severity areas followed by the low and high burn severity. On the other hand, the FVC method was positively correlated with burn severity and more sensitive for evaluating the early stages of the forest succession in which the FVC dramatically increases after 5–6 years after the fire. The significant growth of FVC was accentuated by the maximum emergence of the sapling density as well as the rapid growth of herbaceous plants, grasses, shrubs, and shade-intolerant trees immediately after the fire, which could not be evaluated using the FRI. Both time series of the FRI and the FVC are valuable tools for determining the dominant stages of the post-fire larch forest succession in order to understand the relationships between fire disturbance and natural cycles of the boreal larch forest.     

内蒙古森林火灾发生风险及其驱动因素

森林火灾是危害森林健康的主要灾害之一,科学预测森林火灾是预防森林火灾的重要依据。以中国新旧森林火灾政策作为分界线,将内蒙古森林历史火灾数据分为四个阶段,基于增强回归树模型建立内蒙古森林火灾发生模型,预测森林火灾发生情况,解释不同时期森林火灾和火灾风险变化的差异。预测结果表明:(1)4个时期建模精度AUC均大于0.94,表明BRT模型能够较好地预测研究区森林火灾的发生;(2)气温日较差、日最小相对湿度、上一年春防累计降水量、上一年秋防累计降水量、上一年春防最高地表气温海拔、距火点最近公路距离被确定为影响内蒙古森林火灾发生的重要驱动因素。(3)新旧《森林防火条例》实施前后森林火灾风险等级变化:1981-1988年3月14日,中、高和极高森林火灾风险区分布在呼伦贝尔的东部,而2009-2020年中、高和极高森林火灾风险区分布在呼伦贝尔南部和中部、赤峰市的西南部、锡林郭勒盟和呼和浩特市的中部、乌兰察布市和包头市的南部以及鄂尔多斯市的东部。有助于了解不同时期《森林防火条例》影响下的内蒙古森林火灾的驱动因素和火险等级的变化,为优化森林火灾管理政策及预测预报工作提供科学依据。     

Mapping fire severity and fire extent in forest in Victoria for ecological and fuel outcomes

This study shows how high‐resolution (~15 cm) simultaneous colour and infra‐red digital aerial photography can be used to map both fire severity and, particularly, fire extent, in forest in south‐eastern Australia. The results show that this methodology is capable of detecting and mapping burnt and unburnt edges under unaffected forest canopy (i.e. still green) – that is, revealing the mosaic of burnt and unburnt areas that often result from planned landscape burning under mild weather conditions (i.e. with little of the brownish canopy scorch that results from more intense bushfires). This has important implications for both fuel management and ecology. It can answer the basic questions of fire and biodiversity managers following planned burning –’how much of the planned area burnt, and, within the burnt area, what aspects were burnt, and how hot did they burn?’ The analysis of fire extent by aspect showed that about 80% of southern and eastern aspects remained unburnt during broadscale autumn prescribed burning, with many of these moister aspects potentially providing longer unburnt refuges over multiple burn rotations. The fire severity and extent mapping products, produced using the methodology outlined in this study, have the potential to substantially increase the understanding of the ecological and fuel outcomes of landscape‐scale autumn prescribed burning.     

Wildfire risk for main vegetation units in a biodiversity hotspot: modeling approach in New Caledonia,South Pacific

Wildfire has been recognized as one of the most ubiquitous disturbance agents to impact on natural environments. In this study, our main objective was to propose a modeling approach to investigate the potential impact of wildfire on biodiversity. The method is illustrated with an application example in New Caledonia where conservation and sustainable biodiversity management represent an important challenge. Firstly, a biodiversity loss index, including the diversity and the vulnerability indexes, was calculated for every vegetation unit in New Caledonia and mapped according to its distribution over the New Caledonian mainland. Then, based on spatially explicit fire behavior simulations (using the FLAMMAP software) and fire ignition probabilities, two original fire risk assessment approaches were proposed: a one‐off event model and a multi‐event burn probability model. The spatial distribution of fire risk across New Caledonia was similar for both indices with very small localized spots having high risk. The patterns relating to highest risk are all located around the remaining sclerophyll forest fragments and are representing 0.012% of the mainland surface. A small part of maquis and areas adjacent to dense humid forest on ultramafic substrates should also be monitored. Vegetation interfaces between secondary and primary units displayed high risk and should represent priority zones for fire effects mitigation. Low fire ignition probability in anthropogenic‐free areas decreases drastically the risk. A one‐off event associated risk allowed localizing of the most likely ignition areas with potential for extensive damage. Emergency actions could aim limiting specific fire spread known to have high impact or consist of on targeting high risk areas to limit one‐off fire ignitions. Spatially explicit information on burning probability is necessary for setting strategic fire and fuel management planning. Both risk indices provide clues to preserve New Caledonia hot spot of biodiversity facing wildfires.     

ENSO事件对中国森林火险天气的影响

ENSO事件影响中国的气候和森林火险天气,研究ENSO事件对中国各植被区火险天气的影响对于提高森林火险预报准确性有科学和实践意义。利用1951—2016年中国地面国际交换站气候资料的日值数据集(V3.0)数据计算每日的森林火险天气指数(FWI),根据MODIS过火区产品计算各植被区2001—2016年的森林过火面积,分别按事件情景(弱、中、强和超强厄尔尼诺事件以及弱、中和强拉尼娜事件)统计各植被区对应的火险期气温、降水、FWI和过火面积。结果表明: 1950—2016年,共发生19次厄尔尼诺事件和14次拉尼娜事件。受强或超强厄尔尼诺事件影响,西北地区春季火险期的日均最高气温明显升高,而中温带半干旱草原区春季火险期的日均最高气温在中厄尔尼诺年显著降低。厄尔尼诺年,南方和西南林区火险期的降水量一般会增加,中、低强度的拉尼娜事件会减少大部分区域的火险期降水量,但强拉尼娜事件导致大部分林区火险期的降水量增加。弱厄尔尼诺事件导致南方林区FWI降低;强或超强厄尔尼诺事件导致南方和西南林区的FWI有所降低,而北方林区的FWI有所升高。ENSO事件对各植被区FWI的影响存在显著的空间差异性。2001—2016年,当火险期的季节火险严重程度(SSR)显著变化时,暖温带湿润/半湿润地区落叶阔叶林区、中北亚热带湿润地区阔叶林区和热带南亚热带湿润地区阔叶林区的过火面积与SSR的变化一致,其他区域的过火面积受ENSO事件的影响不明显。     

A territorial fire vulnerability model for Mediterranean ecosystems in South America

A forest fire risk model was designed and applied to a South American Mediterranean ecosystem, taking into consideration three analysis groups: fire risk; danger of fire spread, or propagation; and damage potential over economic threat values. The study area for development and validation of the model was the Mediterranean zone of central Chile and employed data from historical records spanning a 14 year period (1997–2010). Territorial data layers, combined with analysis of the statistical database and wildfire simulation have enabled areas of highest vulnerability to be defined with greater precision, especially in sectors associated with the urban–wildland interface (defined as the zone where man-made structures meet wildland). Maps generated by this model have enabled improvements to be made to the traditional mapping of fires currently undertaken in South American countries. The results shown here are applicable to other Mediterranean areas, where modifications are made to the entrance variables in the risk model.     

Fire risks in forest carbon projects in Indonesia

It is well known that forest carbon or sink projects have not been included in the Clean Development Mechanism (CDM), one of the flexible mechanismscreated under the Kyoto Protocol. The main concern for postponing sink projectsis related to issues of methodology and integrity. Project eligibility needs tobe judged in a transparent manner if they are real, measurable, provide long-term benefits to mitigate climate change, and provide additional benefits to thosethat would occur in the absence of a certified project.One of the biggest challenges in implementing sink projects is fire risks and the associated biophysical and socio-economic underlying causes. This study attempts to assess fire probability and use it as a tool to estimate fire risk in carbon sink projects. Fire risks may not only threaten ongoing projects but may also cause leakage of carbon stocks in other areas, especially in protected areas. This exercise was carried out in the Berbak National Park located in Jambi Province, Sumatra, Indonesia and the surrounding areas. Fire probability is associated with (i) the means by which access to a given area is possible, and (ii) vegetation type or fuel load. Although most fires were intentionally ignited, fire escape is common and is enhanced by long spell of dryweather. When this occurs, secondary road was the most frequently used means, and it was certainly the case during 1997/1998 big fires when damage to natural vegetation (natural and secondary forests) was substantial. Burnt natural vegetation was 120000 ha or 95% of the total burnt areas, and released more than 7 Mt of carbon into the atmosphere.     

Fire risks in forest carbon projects in Indonesia

It is well known that forest carbon or sink projects have not been included in theClean Development Mechanism (CDM), one of the flexible mechanisms created under the Kyoto Protocol. The main concern for postponing sink projects is related to issues of methodology and integrity. Project eligibility needs to be judged in a transparent manner if they are real, measurable,provide long-term benefits to mitigate climate change, and provide additional benefits to those thatwould occur in the absence of a certified project. One of the biggest challenges in implementing sink projects is fire risks and the associated biophysical and socio-economic underlying causes. This study attempts to assess fire probability and use it as a tool to estimate fire risk in carbon sink projects. Fire risks may not only threatenongoing projects but may also cause leakage of carbon stocks in other areas, especially in pro-tected areas. This exercise was carried out in the Berbak National Park located in Jambi Province, Sumatra, Indonesia and the surrounding areas. Fire probability is associated with (i) the means by which access to a given area is possible, and (ii) vegetation type or fuel load. Although most fires were intentionally ignited, fire escape iscommon and is enhanced by long spell of dry weather. When this occurs, secondary road was themost frequently used means, and it was certainly the case during 1997/1998 big fires when dam-age to natural vegetation (natural and secondary forests) was substantial. Burnt natural vegetationwas 120000 ha or 95% of the total burnt areas, and released more than 7 Mt of carbon into the atmosphere.     

Determination of forest fire risk with fuzzy analytic hierarchy process and its mapping with the application of GIS: The case of Turkey/Çakırlar

The objectives of this study are the determination of forest fire risks with the fuzzy analytic hierarchy process (FAHP) and the mapping of risk levels with the use of geographic information systems (GIS). Socioeconomic, topographic, climatic, and stand structures have been taken into consideration as instrumental criteria in terms of fire risk. Each risk criteria and their sub-criteria membership grades have been determined with the fuzzy set theory. Five-scale fuzzy linguistic importance has been used for pairwise comparison matrices. Criterion weights have been mapped with the use of GIS, and a final risk map was established with weighted overlay analysis. Socioeconomic properties had the highest impact on fire risk with 35%. The high risk degree of this criterion manifests in shrublands with substantial fuel loads and young Calabrian pine forests in low elevation areas at the edge of roads, urban and urban periphery areas, south sloping, and steep sloped areas. The lowest risk degree was manifest in stands of cedar, black pine, and juniper forests, qualifying as old growth spreading in sub-mountain areas where land usage is rather low. Experiences regarding high accuracy fire risk determination and decision support approaches for fire risk management have been discussed and concluded in terms of applied FAHP and GIS procedures.     

呼中林区火烧点格局分析及影响因素

林火是森林生态系统景观格局、动态和生态过程的重要自然驱动力,理解林火发生空间格局与影响因素对于林火安全管理具有重要的作用。采用点格局分析方法,以黑龙江大兴安岭呼中林区1990-2005年火烧数据为研究案例,分析了火烧点空间格局及其影响因素。结果表明,火烧点在空间上的分布是不均匀的,呈现聚集分布,存在一些火烧高发区和低发区。呼中林区火烧概率是0.004-0.012次/(km² · a),平均火烧概率为0.0077次/(km² · a)。人类活动因子、地形因子和植被因子对林火的发生均具有重要作用。应用空间点格局分析方法表明,距离居民点和道路的距离、高程、坡度和林型是影响林火发生的显著因子。因此在进行森林防火管理时,仅仅通过控制人类活动对于降低林火火险的效果是有限的,地形和林型也是林火防控时重点要考虑的因素。     

Shape selection in Landsat time series: a tool for monitoring forest dynamics

We present a new methodology for fitting nonparametric shape‐restricted regression splines to time series of Landsat imagery for the purpose of modeling, mapping, and monitoring annual forest disturbance dynamics over nearly three decades. For each pixel and spectral band or index of choice in temporal Landsat data, our method delivers a smoothed rendition of the trajectory constrained to behave in an ecologically sensible manner, reflecting one of seven possible ‘shapes’. It also provides parameters summarizing the patterns of each change including year of onset, duration, magnitude, and pre‐ and postchange rates of growth or recovery. Through a case study featuring fire, harvest, and bark beetle outbreak, we illustrate how resultant fitted values and parameters can be fed into empirical models to map disturbance causal agent and tree canopy cover changes coincident with disturbance events through time. We provide our code in the r package ShapeSelectForest on the Comprehensive R Archival Network and describe our computational approaches for running the method over large geographic areas. We also discuss how this methodology is currently being used for forest disturbance and attribute mapping across the conterminous United States.     

A review of the relationships between drought and forest fire in the United States

The historical and presettlement relationships between drought and wildfire are well documented in North America, with forest fire occurrence and area clearly increasing in response to drought. There is also evidence that drought interacts with other controls (forest productivity, topography, fire weather, management activities) to affect fire intensity, severity, extent, and frequency. Fire regime characteristics arise across many individual fires at a variety of spatial and temporal scales, so both weather and climate – including short‐ and long‐term droughts – are important and influence several, but not all, aspects of fire regimes. We review relationships between drought and fire regimes in United States forests, fire‐related drought metrics and expected changes in fire risk, and implications for fire management under climate change. Collectively, this points to a conceptual model of fire on real landscapes: fire regimes, and how they change through time, are products of fuels and how other factors affect their availability (abundance, arrangement, continuity) and flammability (moisture, chemical composition). Climate, management, and land use all affect availability, flammability, and probability of ignition differently in different parts of North America. From a fire ecology perspective, the concept of drought varies with scale, application, scientific or management objective, and ecosystem.     

森林可燃物及其管理的研究进展与展望

森林可燃物是森林生态系统的基本组成部分, 是影响林火发生及火烧强度的重要因素之一, 因此, 受到国内外学者的广泛关注。该文从以下4个方面综述了国内外可燃物研究的最新进展: 森林可燃物特性, 森林可燃物类型与火行为, 森林可燃物类型、载量的调查与制图, 森林可燃物管理。同时提出了我国森林可燃物今后的研究方向: 开展多尺度可燃物研究; 可燃物类型与火行为的研究; 把以试验观测为基础的静态研究与以空间技术和生态模型为基础的动态预测相结合, 研究可燃物处理效果; 全球气候变化背景下可燃物处理与碳收支。     

The impact of participatory forest management (PFM) on forest integrity and biodiversity in Arabuko‐Sokoke forest,Kenya

Bird communities composed of habitat specialists suffer considerable loss of species following disturbance (Ecol. Monogr. 41 , 1971, 207–233). Participatory forest management (PFM) aims to ensure local ownership and support for forest conservation. This study determined if forest birds and forest quality in places under PFM is significantly higher than areas without PFM in Arabuko‐Sokoke forest. Forest quality data were collected in the PFM and no PFM zones in the Mixed forest (MF) and Cynometra Woodland (CW). Plot‐based approach was used to collect vegetation data along 1 km transects at intervals of 1 km sampling twenty transects and 200 plots in each of the study zones. Birds’ data were collected using 10‐min point‐counts along 88, 1 km long transects placed 1‐km apart sampling in 30 m radius‐plots at intervals of 100 m. Data were collected in 2008 and 2009. The results showed higher measures of forest quality in PFM zones than no PFM zones which showed higher measures of forest disturbance. The results did not show statistical differences in birds’ diversity indexes between PFM and no PFM zones indicating that the human‐induced disturbance has not reached critical ecological thresholds to affect birds’ species diversity. It can be deduced that PFM investment is leading to improved forest management.     

Managing mature forest features: The production,accuracy and ecological relevance of a landscape‐scale map

Mature trees and forests contain structural features such as tree hollows, large coarse woody debris and large spreading crowns that provide critical habitat for a wide range of species. These features can take hundreds of years to develop and require careful management to ensure their continued availability. Managing these features requires spatial mapping layers to facilitate landscape‐scale management. This paper outlines how a map of mature forest habitat was developed for Tasmania, Australia. The map was produced using spatial data on vegetation type, mature crown density and senescence, a global layer of forest loss data derived from satellite imagery, a database on timber harvest plans and a spatial layer on the extent of fire. The relationship between mapped mature habitat availability (high, medium, low or negligible) and tree hollow availability in wet forest areas was explored, complementing a similar published study in dry forests. The number of large trees likely to have hollows significantly increased with mapped mature habitat availability, although there was considerable variation and overlap between map categories. Data from a fauna locality database and two radio‐tracking studies showed that three of the vertebrate hollow‐using species examined (Swift Parrot, Common Brushtail Possum and the Tasmanian Long‐eared Bat) and nest records of a species reliant on large tree crowns (the Wedge‐tailed Eagle) were all more likely to occur in areas of higher mapped mature habitat availability. It is concluded that this map reflects the relative availability of tree hollows, is ecologically meaningful and will be useful when managing mature forest habitat at large spatial scales, but the variable accuracy of the map at fine scales needs to be taken into account.     

混合效应模型在林火发生预测中的适用性

林火是森林生态系统的重要影响因子,建立科学准确的林火预测预报模型对林火管理工作至关重要。本研究以不同气象因子为主要预测变量,基于Logistic回归和广义线性混合效应模型建立福建省林火发生预测模型,通过对比Logistic基础模型和广义线性混合效应模型的拟合度和预测精度,研究混合效应模型在林火预报中的适用性。结果表明: Logistic基础模型的受试者工作特征曲线下面积(AUC)值为0.664,验证准确率为60.4%。添加随机效应后,模型的拟合和检验精度均获得了提升。其中,考虑行政区划和海拔差异效应的两水平混合效应模型的表现最优,其AUC值和验证准确率分别比基础模型提升0.057和6.0%。用此混合效应模型对福建省各地区的林火发生概率进行预测的结果表明,福建省西北部和南部为林火中高发区域,西南部和东部为林火低发区域,与实际观测的火点分布一致。混合效应模型在数据拟合和林火发生预测方面均优于Logistic基础模型,可作为林火预测和管理的重要工具。     

In situ survival of forest bryophytes in small‐scale refugia after an intense forest fire

Question: Species can persist in landscapes with recurring disturbances either by migrating to places suitable for the moment or by enduring the threatening conditions. We investigated to what extent boreal forest bryophytes survived an intense forest fire in situ and whether bryophytes had started to recolonize the area 7‐8 years later. Location: Tyresta National Park, eastern Sweden. Methods: We recorded bryophytes in 14 burnt and 12 forest reference plots (50 × 50 m). In each plot we investigated 15 random 1‐m² micro‐plots. In plots in the burnt area we also examined micro‐plots at locations of all fire refugia, and in case of the forest references, of 10 potential refugia. Results: We found on average three small refugia per 50 × 50‐m plot; each containing on average 4.8 forest bryophytes, a level similar to that of micro‐plots in the references, but significantly higher than in random micro‐plots in the burnt plots (1.5 species). Many refugia were located in rocky areas, but few were in wet sites. The burnt area remained dominated by a few fire‐favoured species, even if recolonization of forest bryophytes had begun. There was, however, no significant correlation between number of refugia and number of forest species in random micro‐plots, leaving open the question of the importance of refugia as regulators of early succession. Conclusion: We conclude that small‐scale refugia can also occur for sensitive species such as forest bryophytes, and that the refugia in our case were frequently found on rocky or mesic rather than wet sites. The role of such refugia in recolonization, however, warrants further investigation.