大兴安岭地区森林雷击火与闪电的关系

林火是森林生态系统的重要影响因子.随着全球气候变暖,林火,特别是雷击火有增多的趋势.本文对我国东北大兴安岭地区1966-2007年的林火数据及相应的闪电和气象资料进行分析.结果表明:1966-2007年,该地区雷击火的次数及其过火面积都呈显著增加趋势.影响雷击火的气象条件与研究时间尺度有关,年尺度的雷击火与降水显著相关,相关系数达-0.489;月尺度的雷击火则与气温显著相关,相关系数为0.18.雷击火与闪电的关系也与时间尺度有关,年尺度的雷击火与闪电关系不明显,受降水影响较大;月尺度的雷击火与闪电具有较好的相关性,且受降水的影响;日尺度的雷击火在降水量＞5 mm时与闪电关系不明显,但当降水量＜5 mm时,雷击火与闪电次数呈正相关.据此,发展了基于闪电定位仪数据的火险指数算法以及大兴安岭地区的森林雷击火预报模型.经2005-2007年雷击火验证,该模型的预报准确率＞80％.     

中国松材线虫病空间分布格局

应用地统计学和克里格插值方法,分析了松材线虫病在中国的空间分布结构和空间相关性.研究表明,松材线虫病在中国呈聚集分布.在全国和江苏、安徽、广东、浙江5个不同空间尺度下,半变异函数均为球形,空间依赖性距离分别可达10 1888°、3.4464°、2.1581°、3.08°和2.4376°.松材线虫病在中国有着2个明显的聚集分布区域,一个位于(30.5～32.5°N,117.7～120.5°E),以南京为中心,包括江苏、安徽大部和浙江西北部,另一个位于(22.5～24°N,113～114.5°E ),在广东境内.松材线虫病在中国早期空间分布自然扩散模型为R = 5.4743e0.4139t(R2 = 0.9204).     

呼伦贝尔草原人为火空间分布格局

人为草原火及其影响因素的空间分布格局与相关关系研究对于草原火发生、草原火管理等研究具有重要的意义.应用Ripley's K函数对呼伦贝尔草原1976-1996年间发生的人为草原火进行了空间统计分析,确定人为草原火空间分布在年内主要发生月份和年际间均呈聚集分布;应用Kernel密度函数对人为草原火及其影响因素居民点、道路和农田的空间分布密度进行了研究,结果表明呼伦贝尔草原人为火分布广泛,热点区域主体在123.05-124.82°E、48.25-50.21°N之间;居民点、农田空间分布密度的热点区域主要分布在东部和中部地区,道路的分布密度较农田和居民点分布更加均匀.人为草原火空间分布密度与居民点、道路和农田的空间分布密度呈显著性正相关,其Pearson相关系数依次为0.448、0.236、0.602 (P＜0.001),火源因素(居民点、道路、农田)的空间分布格局是呼伦贝尔草原人为火空间分布格局的主要影响因素.     

黄海近岸海域短吻红舌鳎夏季产卵场的空间分布及其年际变化

根据2014年夏季、2016年夏季与2017年夏季3个航次的黄海近岸海域产卵场调查数据,采用服从Tweedie分布的广义加性模型(GAM),对黄海近岸海域短吻红舌鳎产卵场的空间分布及其年际变化进行了研究。结果表明: 短吻红舌鳎的产卵场主要分布在海州湾(34°00′—35°18′ N,119°30′—121°30′ E)、苏北浅滩(32°18′—34°00′ N,120°18′—122°00′ E)海域范围内,而山东半岛南部海域(34°42′—36°48′ N,119°30′—122°00′ E)鱼卵数量较少。短吻红舌鳎产卵场的空间分布与经纬度、水深及海水表层温度均显著相关,与海水表层盐度、表层叶绿素a相关性不显著;其最适水深、海水表层温度、海水表层盐度、表层叶绿素a浓度范围分别为15～26 m、29～32 ℃、22～25和0.10～3 mg·m^-3。短吻红舌鳎产卵场的空间分布及其影响因子存在一定的年际变化,总体上其产卵场分布较为稳定,但表层温度较高的年份可能存在北移的趋势。     

斑嘴鸭和红脚隼共用同一人工巢体繁殖

<正>2021年5至7月,在吉林长岭龙凤湖湿地省级自然保护区发现一例斑嘴鸭（Anaszonorhyncha）和红脚隼（Falco amurensis）共用同一人工巢体繁殖的案例。吉林长岭龙凤湖湿地省级自然保护区（123°44′～123°57′E,44°07′～44°14′N）位于吉林省西部长岭县,是松原地区面积最大的盐碱沼泽湿地,总面积7 166 hm2。保护区内分布芦苇沼泽、内陆盐沼、草甸草原等天然湿地和水库、引水渠等人工湿地。     

基于FARSITE模型的丰林自然保护区潜在林火行为空间分布特征

将FARSITE火行为模型应用于丰林自然保护区林火行为预测,并根据Rothermel和Rinehart制定的林火行为等级标准,编制潜在林火行为空间区划图,以探讨林火行为的空间分布特征。研究结果表明:在有可能、易发生和极易发生3个森林火险等级下,丰林自然保护区林火行为主要分布在Class I和ClassⅡ等级上,使用手工工具可能从火头控制火势蔓延;林火行为等级空间分布特征较为明显,ClassⅢ等级的火行为主要分布在区域中东部,ClassⅡ主要分布在区域中部,而Class I则主要分布在区域四周;高强度林火行为主要分布在可燃物模型为FL-Ⅰ和FL-Ⅱ,海拔为300—400 m、坡度为平坡和缓坡、坡向为阳坡上。高强度林火发生在接近道路与居民点500 m的区域内分布面积明显高于分布在距离道路居民点500—1000 m和1000—1500 m区域。     

黄海南部和东海小黄鱼(Larimichthys polyactis)产卵场分布及其环境特征

根据2003～2005年和2007年4月份在黄海南部和东海海域进行的底拖网调查数据,分析了小黄鱼产卵场分布和产卵场环境特征等.结果表明,目前小黄鱼产卵场范围较过去有扩大,范围已经扩展到外海海域,产卵场可分为黄海南部产卵场和东海产卵场;其中黄海南部产卵场主要集中在33°00′～34°00′N,122°30′～124°00′E,产卵场最适水温范围为9.65～12.17℃,最适盐度范围为32.25～34.54,最适水深范围为29.74～76.49m;东海产卵场主要集中在30°30′～31°00′N,124°00′～125°00′E海域和30°30′～32°30′N,125°00′～126°00′E海域,产卵场最适水温范围为10.13～16.64℃,最适盐度范围为32.50～34.37,最适水深范围为40.23～85.61m;黄海南部和东海产卵场水温分布差异极显著(P<0.01);小黄鱼产卵场较过去发生较大变化的主要原因可能是在过度捕捞等扰动因素的影响下,小黄鱼对环境适应性明显提高.     

基于负二项和零膨胀负二项回归模型的大兴安岭地区雷击火与气象因素的关系

雷击火的发生与气象因子之间存在着密切的关系。该文选用符合大兴安岭地区林火发生数据结构的负二项(negative binomial,NB)和零膨胀负二项(zero-inflated negative binomial,ZINB)两种模型对大兴安岭林区1980–2005年间雷击火的发生与气象因素间的关系进行建模分析,并与以往研究中所使用的最小二乘(OLS)回归方法相对比。使用SAS和R-Project统计软件进行模型拟合运算,计算得出模型各参数。结果表明,NB和ZINB模型对数据拟合较好,模型内各气象因子显著性水平较高,对雷击火发生次数均具有较好的预测能力。运用AIC和Vuong等检验方法,进一步比较了NB和ZINB模型对数据的拟合水平以及模型预测水平,结果表明ZINB模型无论在数据拟合还是模型预测上都要优于NB模型。提出了大兴安岭地区林火发生与气象因子关系的最优模型。     

基于ESDA的西北太平洋柔鱼资源空间热点区域及其变动研究

以西北太平洋(150°E—160°E、38°N—45°N)柔鱼Ommastrephes bartramii为研究对象,以2007和2010年鱿钓渔业的原始点位数据为基础,利用常规统计和探索性空间数据分析(ESDA)中的全局空间自相关分析方法,对西北太平洋柔鱼资源空间分布及其变动进行了研究。结果表明,西北太平洋柔鱼资源呈现较强的聚集分布特征,但不同空间位置差异较大。利用GIS和ESDA的局部自相关方法进行了柔鱼资源热冷点空间分布的制图,结果显示2007年研究区存在3个显著的热点和1个冷点,2010年与之存在较为明显的差异,具有1个热点和4个冷点。变化检测分析表明,两个年份间出现1个热点区域和1个冷点区域未发生变化,另有2个区域从2007年热点变成2010年冷点;此外,非热冷点之间的变动在研究区占据了主导地位。景观指数分析表明,研究区柔鱼资源热冷点格局的复杂性和自相似性并不高,但其异质性和聚集性非常强,且整体性和凝聚度均很高。分析认为,2007年西北太平洋柔鱼渔区的形成受温度和海流的影响,近一半作业渔区产量相对较高,但并未充分保证空间热点的大面积形成,空间热点和冷点分布面积大致相当;2010年整个西北太平洋柔鱼渔场受亲潮势力影响,空间热点较为集中、空间冷点较多且分散。     

粗毛肉果草青藏高原新分布

报道了青藏高原通泉草科(Mazaceae)肉果草属(Lancea)粗毛肉果草(Lancea hirsuta Bonati)新分布。该种分布于西藏八宿县(30°12′3.8″N,97°16′48″E)、西藏林周县(30°4′58.8″N,91°16′48″E)、西藏当雄县(30°32′24″N,91°20′24″E)和青海杂多县(33°4′48″N,95°9′36″E),该次发现将中国该种自然分布区扩大到西藏、青海等地,海拔分布也增加至4 300m。凭证标本现存于中国科学院青藏高原生物标本馆(HNWP)。     

Historic distribution and driving factors of human-caused fires in the Chinese boreal forest between 1972 and 2005

Aims The pattern and driving factors of forest fires are of interest for fire occurrence prediction and forest fire management. The aims of the study were: (i) to describe the history of human-caused fires by season and size of burned area over time; (ii) to identify the spatial patterns of human-caused fires and test for the existence of 'hotspots' to determine their exact locations in the Daxing'an Mountains; (iii) to determine the driving factors that determine the spatial distribution and the possibility of human-caused fire occurrence.Methods In this study, K -function and Kernel density estimation were used to analyze the spatial pattern of human-caused fires. The analysis was conducted in S-plus and ArcGIS environments, respectively. The analysis of driving factors was performed in SPSS 19.0 based on a logistic regression model. The variables used to identify factors that influence fire occurrence included vegetation types, meteorological conditions, socioeconomic factors, topography and infrastructure factors, which were extracted and collected through the spatial analysis mode of ArcGIS and from official statistics, respectively.Important findings The annual number of human-caused fires and the area burnt have declined since 1987 due to the implementation of a forest fire protection act. There were significant spatial heterogeneity and seasonal variations in the distribution of human-caused fires in the Daxing'an Mountains. The heterogeneity was caused by elevation, distance to the nearest railway, forest type and temperature. A logistic regression model was developed to predict the likelihood of human-caused fire occurrence in the Daxing'an Mountains; its global accuracy attained 64.8%. The model was thus comparable to other relevant studies.     

大兴安岭人为火发生影响因素及气候变化下的趋势

我国重要的北方针叶林地区大兴安岭是林火高发地区.受气候变暖影响,该地区林火发生频率将会发生显著变化.模拟人为火的发生分布与影响因素之间的关系、加强气候变化下人为火的发生分布预测,对于林火管理和减少森林碳损失具有重要作用.本文采用点格局分析方法,基于大兴安岭1967—2006年的火烧数据,建立人为火空间分布与影响因素之间的关系模型,该模型以林火发生次数为因变量,选取非生物因子(年均温和降水量、坡度、坡向和海拔)、生物因子(植被类型)和人为活动因子(距离道路距离、距离居民点距离、道路密度)共9个因子为自变量.并采用RCP 2.6和RCP 8.5气候情景数据代替当前气候情景预测2050年大兴安岭人为火的空间分布状况.结果表明: 点格局模型能够较好地模拟人为火发生分布与空间变量的关系,可以预测未来气候下人为火的发生概率.其中,气候因子对人为火的发生具有明显的控制作用,植被类型、海拔和人为活动等因子对人为火的发生也具有重要影响.林火发生预测结果表明,未来气候变化下,南部地区的林火发生概率将进一步增加,北部和沿主要道路干线附近将成为新的人为火高发区.与当前相比,2050年大兴安岭人为火的发生概率将增加72.2%～166.7%.在未来气候情景下,人为火的发生更多受气候和人为活动因素的控制.     

Spatial patterns and drivers of fire occurrence and its future trend under climate change in a boreal forest of Northeast China

Understanding the spatial patterns of fire occurrence and its response to climate change is vital to fire risk mitigation and vegetation management. Focusing on boreal forests in Northeast China, we used spatial point pattern analysis to model fire occurrence reported from 1965 to 2009. Our objectives were to quantitate the relative importance of biotic, abiotic, and human influences on patterns of fire occurrence and to map the spatial distribution of fire occurrence density (number of fires occurring over a given area and time period) under current and future climate conditions. Our results showed human‐caused fires were strongly related to human activities (e.g. landscape accessibility), including proximity to settlements and roads. In contrast, fuel moisture and vegetation type were the most important controlling factors on the spatial pattern of lightning fires. Both current and future projected spatial distributions of the overall (human‐ + lightning‐caused) fire occurrence density were strongly clustered along linear components of human infrastructure. Our results demonstrated that the predicted change in overall fire occurrence density is positively related to the degree of temperature and precipitation change, although the spatial pattern of change is expected to vary spatially according to proximity to human ignition sources, and in a manner inconsistent with predicted climate change. Compared to the current overall fire occurrence density (median value: 0.36 fires per 1000 km² per year), the overall fire occurrence density is projected to increase by 30% under the CGCM3 B1 scenario and by 230% under HadCM3 A2 scenario in 2081–2100, respectively. Our results suggest that climate change effects may not outweigh the effects of human influence on overall fire occurrence over the next century in this cultural landscape. Accurate forecasts of future fire‐climate relationships should account for anthropogenic influences on fire ignition density, such as roads and proximity to settlements.     

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。     

基于MAXENT模型的黑龙江大兴安岭森林雷击火火险预测

黑龙江大兴安岭是森林雷击火的高发地区,急需研发精确的火险预测模型对该区森林火灾进行预测.本文基于大兴安岭地区森林雷击火灾数据及环境变量数据,采用MAXENT模型进行森林雷击火的火险预测.首先对各环境变量进行共线性诊断,再利用累积正则化增益法和Jackknife方法评价了环境变量的重要性,最后采用最大Kappa值和AUC值检测了MAXENT模型的预测精度.结果表明: 闪电能量和中和电荷量的方差膨胀因子（VIF）值分别为5.012和6.230,与其他变量之间存在共线性,不能用于模型训练.日降雨量、云地闪电数量及云地闪回击电流强度是影响森林雷击火发生的3个最重要因素,日平均风速和坡向的影响较小.随着建模数据比例的增加,最大Kappa值和AUC值均有增大趋势.最大Kappa值都大于0.75,平均值为0.772; AUC值都大于0.5,平均值为0.859.MAXENT模型的预测精度达到中等精度,可应用于大兴安岭地区的森林雷击火火险预测.     

Spatial and temporal variation in historic fire regimes in subalpine forests across the Colorado Front Range in Rocky Mountain National Park, Colorado, USA

Aim The historical variability of fire regimes must be understood in the context of drivers of the occurrence of fire operating at a range of spatial scales from local site conditions to broad‐scale climatic variation. In the present study we examine fire history and variations in the fire regime at multiple spatial and temporal scales for subalpine forests of Engelmann spruce–subalpine fir (Picea engelmannii, Abies lasiocarpa) and lodgepole pine (Pinus contorta) of the southern Rocky Mountains. Location The study area is the subalpine zone of spruce–fir and lodgepole pine forests in the southern sector of Rocky Mountain National Park (ROMO), Colorado, USA, which straddles the continental divide of the northern Colorado Front Range (40°20′ N and 105°40′ W). Methods We used a combination of dendroecological and Geographic Information System methods to reconstruct fire history, including fire year, severity and extent at the forest patch level, for c. 30,000 ha of subalpine forest. We aggregated fire history information at appropriate spatial scales to test for drivers of the fire regime at local, meso, and regional scales. Results The fire histories covered c. 30,000 ha of forest and were based on a total of 676 partial cross‐sections of fire‐scarred trees and 6152 tree‐core age samples. The subalpine forest fire regime of ROMO is dominated by infrequent, extensive, stand‐replacing fire events, whereas surface fires affected only 1–3% of the forested area. Main conclusions Local‐scale influences on fire regimes are reflected by differences in the relative proportions of stands of different ages between the lodgepole pine and spruce–fir forest types. Lodgepole pine stands all originated following fires in the last 400 years; in contrast, large areas of spruce–fir forests consisted of stands not affected by fire in the past 400 years. Meso‐scale influences on fire regimes are reflected by fewer but larger fires on the west vs. east side of the continental divide. These differences appear to be explained by less frequent and severe drought on the west side, and by the spread of fires from lower‐elevation mixed‐conifer montane forests on the east side. Regional‐scale climatic variation is the primary driver of infrequent, large fire events, but its effects are modulated by local‐ and meso‐scale abiotic and biotic factors. The low incidence of fire during the period of fire‐suppression policy in the twentieth century is not unique in comparison with the previous 300 years of fire history. There is no evidence that fire suppression has resulted in either the fire regime or current forest conditions being outside their historic ranges of variability during the past 400 years. Furthermore, in the context of fuel treatments to reduce fire hazard, regardless of restoration goals, the association of extremely large and severe fires with infrequent and exceptional drought calls into question the future effectiveness of tree thinning to mitigate fire hazard in the subalpine zone.     

Fire Severity in Conifer Forests of the Sierra Nevada, California

Natural disturbances are an important source of environmental heterogeneity that have been linked to species diversity in ecosystems. However, spatial and temporal patterns of disturbances are often evaluated separately. Consequently, rates and scales of existing disturbance processes and their effects on biodiversity are often uncertain. We have studied both spatial and temporal patterns of contemporary fires in the Sierra Nevada Mountains, California, USA. Patterns of fire severity were analyzed for conifer forests in the three largest fires since 1999. These fires account for most cumulative area that has burned in recent years. They burned relatively remote areas where there was little timber management. To better characterize high-severity fire, we analyzed its effect on the survival of pines. We evaluated temporal patterns of fire since 1950 in the larger landscapes in which the three fires occurred. Finally, we evaluated the utility of a metric for the effects of fire suppression. Known as Condition Class it is now being used throughout the United States to predict where fire will be uncharacteristically severe. Contrary to the assumptions of fire management, we found that high-severity fire was uncommon. Moreover, pines were remarkably tolerant of it. The wildfires helped to restore landscape structure and heterogeneity, as well as producing fire effects associated with natural diversity. However, even with large recent fires, rates of burning are relatively low due to modern fire management. Condition Class was not able to predict patterns of high-severity fire. Our findings underscore the need to conduct more comprehensive assessments of existing disturbance regimes and to determine whether natural disturbances are occurring at rates and scales compatible with the maintenance of biodiversity.     

浙江天童常绿阔叶林演替阶段共有种的树木构型

树木构型是木本植物为响应光照变化在其空间建造结构上的配置模式和形态体现。研究演替不同阶段共有种构型的变化可以剔除植物谱系的影响, 反映植物构型特征与光资源供给性的关系。该研究在浙江宁波天童、南山和北仑3个次生演替序列上选择了5个演替共有种, 分4个群落高度层级, 对照分析了树高、冠幅深度和面积、枝条伸展方向、基径、叶片盖度和聚集度构型性状随演替的变化, 并分析了与冠幅曝光指数的线性关系。结果表明: 1)随着演替进行, 冠幅厚度和面积、叶片盖度、叶片聚集度和基径逐步增加, 但在个别相邻演替阶段增加不显著; 2)随着演替进行, 植物的垂直枝比例降低, 水平枝比例增加; 3)演替过程中植物冠幅曝光指数在各层级内都呈现出减小趋势; 4)构型性状和植物冠幅曝光指数间存在显著的线性回归关系(p < 0.001)。总之, 随着常绿阔叶林演替进行, 演替共有种构型的变化反映了物种功能类群由阳性先锋植物向耐阴植物的转化, 其中, 植物对光资源的适应是导致构型变化的主要原因。